From 35ef456e793ab30a13b475250d7a6c9e77880226 Mon Sep 17 00:00:00 2001 From: Fran Algaba Date: Mon, 22 May 2023 17:30:18 +0200 Subject: [PATCH 001/126] Sync main (#61) * Update SUMMARY.md * Update SUMMARY.md * update readme titles --------- Co-authored-by: raphaelDkhn <113879115+raphaelDkhn@users.noreply.github.com> Co-authored-by: raphaelDkhn --- README.md | 2 +- docs/README.md | 2 +- docs/SUMMARY.md | 21 ++++++++++++--------- 3 files changed, 14 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index 9d2bcd9fd..5aa78ec38 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ -# Orion: a library for Validity ML in Cairo 1.0 :sparkles: +# Orion: Cairo library for Validity ML ✨ [![All Contributors](https://img.shields.io/badge/all_contributors-4-orange.svg?style=flat-square)](#contributors-) diff --git a/docs/README.md b/docs/README.md index 1adad7bd5..b9983f56e 100644 --- a/docs/README.md +++ b/docs/README.md @@ -1,4 +1,4 @@ -# Orion +# Orion: Cairo library for Validity ML ✨ Orion is a Cairo library that provides two high-level features: diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md index 19b451cec..c03bad9f8 100644 --- a/docs/SUMMARY.md +++ b/docs/SUMMARY.md @@ -11,7 +11,7 @@ * [Compatibility](apis/compatibility.md) * [Operators](apis/operators/README.md) * [Tensor](apis/operators/tensor/README.md) - * [TensorTrait::new](apis/operators/tensor/tensortrait-new.md) + * [tensor.new](apis/operators/tensor/tensortrait.new.md) * [tensor.at](apis/operators/tensor/tensor.at.md) * [tensor.min](apis/operators/tensor/tensor.min.md) * [tensor.max](apis/operators/tensor/tensor.max.md) @@ -25,20 +25,23 @@ * [tensor.matmul](apis/operators/tensor/tensor.matmul.md) * [tensor.exp](apis/operators/tensor/tensor.exp.md) * [Neural Network](apis/operators/neural-network/README.md) - * [NN::relu](apis/operators/neural-network/nn-relu.md) - * [NN::softmax](apis/operators/neural-network/nn-softmax.md) + * [nn.relu](apis/operators/neural-network/nn.relu.md) + * [nn.leaky_relu](apis/operators/neural-network/nn.leaky_relu.md) + * [nn.softmax](apis/operators/neural-network/nn.softmax.md) + * [nn.linear](apis/operators/neural-network/nn.linear.md) + * [Numbers](apis/numbers/README.md) * [Signed Integer](apis/numbers/signed-integer/README.md) - * [IntegerTrait::new](apis/numbers/signed-integer/integertrait-new.md) + * [int.new](apis/numbers/signed-integer/int.new.md) * [int.div\_rem](apis/numbers/signed-integer/int.div\_rem.md) * [int.abs](apis/numbers/signed-integer/int.abs.md) * [int.max](apis/numbers/signed-integer/int.max.md) * [int.min](apis/numbers/signed-integer/int.min.md) * [Fixed Point](apis/numbers/fixed-point/README.md) - * [Fixed::new](apis/numbers/fixed-point/fixed-new.md) - * [Fixed::new\_unscaled](apis/numbers/fixed-point/fixed-new\_unscaled.md) - * [Fixed::from\_felt](apis/numbers/fixed-point/fixed-from\_felt.md) - * [Fixed::from\_unscaled\_felt](apis/numbers/fixed-point/fixed-from\_unscaled\_felt.md) + * [fp.new](apis/numbers/fixed-point/fp.new.md) + * [fp.new\_unscaled](apis/numbers/fixed-point/fp.new_unscaled.md) + * [fp.from\_felt](apis/numbers/fixed-point/fp.from_felt.md) + * [fp.from\_unscaled\_felt](apis/numbers/fixed-point/fp.from_unscaled_felt.md) * [fp.abs](apis/numbers/fixed-point/fp.abs.md) * [fp.ceil](apis/numbers/fixed-point/fp.ceil.md) * [fp.floor](apis/numbers/fixed-point/fp.floor.md) @@ -51,7 +54,7 @@ * [fp.round](apis/numbers/fixed-point/fp.round.md) * [fp.sqrt](apis/numbers/fixed-point/fp.sqrt.md) * [Performance](apis/performance/README.md) - * [Linear Quantization](apis/performance/linear-quantization.md) + * [Linear Quantization](apis/performance/performance.quantize_linear.md) ## 💖 Community From f28d58bb6d2bdc36cfd9ee6af95ccedfcb7dd779 Mon Sep 17 00:00:00 2001 From: Fran Algaba Date: Mon, 22 May 2023 15:37:57 +0000 Subject: [PATCH 002/126] GITBOOK-9: Fix NN Table References --- docs/README.md | 8 ++- docs/SUMMARY.md | 13 ++-- docs/apis/operators/tensor/tensor.new.md | 80 +----------------------- 3 files changed, 13 insertions(+), 88 deletions(-) diff --git a/docs/README.md b/docs/README.md index b9983f56e..ac1b6d012 100644 --- a/docs/README.md +++ b/docs/README.md @@ -1,4 +1,8 @@ -# Orion: Cairo library for Validity ML ✨ +--- +description: ONNX Runtime in Cairo 1.0 +--- + +# Orion Orion is a Cairo library that provides two high-level features: @@ -15,7 +19,7 @@ This library proposes a new ONNX runtime built with [Cairo](https://www.cairo-la ### 🌱 Where to start? -
🧱 APIsThree APIs that will help you to build your Validity ML models.get-started.md
🧩 AlgorithmsDiscover all algorithms built by the community, or build your own. algorithms.md
📖 TutorialsTry out the awesome guides and tutorials created by the community.tutorials.md
+
🧱 APIsThree APIs that will help you to build your Validity ML models.get-started.md
🧩 AlgorithmsDiscover all algorithms built by the community, or build your own.algorithms.md
📖 TutorialsTry out the awesome guides and tutorials created by the community.tutorials.md
### ✨ What's new? diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md index c03bad9f8..cd1e1c7d7 100644 --- a/docs/SUMMARY.md +++ b/docs/SUMMARY.md @@ -11,7 +11,7 @@ * [Compatibility](apis/compatibility.md) * [Operators](apis/operators/README.md) * [Tensor](apis/operators/tensor/README.md) - * [tensor.new](apis/operators/tensor/tensortrait.new.md) + * [tensor.new](apis/operators/tensor/tensor.new.md) * [tensor.at](apis/operators/tensor/tensor.at.md) * [tensor.min](apis/operators/tensor/tensor.min.md) * [tensor.max](apis/operators/tensor/tensor.max.md) @@ -26,10 +26,9 @@ * [tensor.exp](apis/operators/tensor/tensor.exp.md) * [Neural Network](apis/operators/neural-network/README.md) * [nn.relu](apis/operators/neural-network/nn.relu.md) - * [nn.leaky_relu](apis/operators/neural-network/nn.leaky_relu.md) + * [nn.leaky\_relu](apis/operators/neural-network/nn.leaky\_relu.md) * [nn.softmax](apis/operators/neural-network/nn.softmax.md) * [nn.linear](apis/operators/neural-network/nn.linear.md) - * [Numbers](apis/numbers/README.md) * [Signed Integer](apis/numbers/signed-integer/README.md) * [int.new](apis/numbers/signed-integer/int.new.md) @@ -39,9 +38,9 @@ * [int.min](apis/numbers/signed-integer/int.min.md) * [Fixed Point](apis/numbers/fixed-point/README.md) * [fp.new](apis/numbers/fixed-point/fp.new.md) - * [fp.new\_unscaled](apis/numbers/fixed-point/fp.new_unscaled.md) - * [fp.from\_felt](apis/numbers/fixed-point/fp.from_felt.md) - * [fp.from\_unscaled\_felt](apis/numbers/fixed-point/fp.from_unscaled_felt.md) + * [fp.new\_unscaled](apis/numbers/fixed-point/fp.new\_unscaled.md) + * [fp.from\_felt](apis/numbers/fixed-point/fp.from\_felt.md) + * [fp.from\_unscaled\_felt](apis/numbers/fixed-point/fp.from\_unscaled\_felt.md) * [fp.abs](apis/numbers/fixed-point/fp.abs.md) * [fp.ceil](apis/numbers/fixed-point/fp.ceil.md) * [fp.floor](apis/numbers/fixed-point/fp.floor.md) @@ -54,7 +53,7 @@ * [fp.round](apis/numbers/fixed-point/fp.round.md) * [fp.sqrt](apis/numbers/fixed-point/fp.sqrt.md) * [Performance](apis/performance/README.md) - * [Linear Quantization](apis/performance/performance.quantize_linear.md) + * [Linear Quantization](apis/performance/performance.quantize\_linear.md) ## 💖 Community diff --git a/docs/apis/operators/tensor/tensor.new.md b/docs/apis/operators/tensor/tensor.new.md index 18a3fcea4..9e5af0ee2 100644 --- a/docs/apis/operators/tensor/tensor.new.md +++ b/docs/apis/operators/tensor/tensor.new.md @@ -1,80 +1,2 @@ -# TensorTrait::new +# tensor.new -```rust -fn new(shape: Span, data: Span) -> Tensor; -``` - -Returns a new tensor with the given shape and data. - -## Args - -* `shape`(`Span`) - A span representing the shape of the tensor. -* `data` (`Span`) - A span containing the array of elements. - -## Panics - -* Panics if the shape and data length are incompatible. - -## Returns - -A new `Tensor` instance. - -## Examples - -Let's create new u32 Tensors. - -```rust -// 1D TENSOR -fn tensor_1D() -> Tensor { -let mut shape = ArrayTrait::new(); -shape.append(3); - -let mut data = ArrayTrait::new(); -data.append(0_u32); -data.append(1_u32); -data.append(2_u32); - -let tensor = TensorTrait::::new(shape.span(), data.span()); - -return tensor; -} - -// 2D TENSOR -fn tensor_2D() -> Tensor { -let mut shape = ArrayTrait::new(); -shape.append(2); -shape.append(2); - -let mut data = ArrayTrait::new(); -data.append(0_u32); -data.append(1_u32); -data.append(2_u32); -data.append(3_u32); - -let tensor = TensorTrait::::new(shape.span(), data.span()); - -return tensor; -} - -// 3D TENSOR -fn tensor_3D() -> Tensor { -let mut shape = ArrayTrait::new(); -shape.append(2); -shape.append(2); -shape.append(2); - -let mut data = ArrayTrait::new(); -data.append(0_u32); -data.append(1_u32); -data.append(2_u32); -data.append(3_u32); -data.append(4_u32); -data.append(5_u32); -data.append(6_u32); -data.append(7_u32); - -let tensor = TensorTrait::::new(shape.span(), data.span()); - -return tensor; -} -``` From f57a2e872bb3c61f007b99de5a9e9565d92e1911 Mon Sep 17 00:00:00 2001 From: Fran Algaba Date: Mon, 22 May 2023 17:43:56 +0200 Subject: [PATCH 003/126] Fix markdown content (#62) --- docs/apis/operators/tensor/tensor.new.md | 78 ++++++++++++++++++++++++ 1 file changed, 78 insertions(+) diff --git a/docs/apis/operators/tensor/tensor.new.md b/docs/apis/operators/tensor/tensor.new.md index 9e5af0ee2..988364f69 100644 --- a/docs/apis/operators/tensor/tensor.new.md +++ b/docs/apis/operators/tensor/tensor.new.md @@ -1,2 +1,80 @@ # tensor.new +```rust +fn new(shape: Span, data: Span) -> Tensor; +``` + +Returns a new tensor with the given shape and data. + +## Args + +* `shape`(`Span`) - A span representing the shape of the tensor. +* `data` (`Span`) - A span containing the array of elements. + +## Panics + +* Panics if the shape and data length are incompatible. + +## Returns + +A new `Tensor` instance. + +## Examples + +Let's create new u32 Tensors. + +```rust +// 1D TENSOR +fn tensor_1D() -> Tensor { +let mut shape = ArrayTrait::new(); +shape.append(3); + +let mut data = ArrayTrait::new(); +data.append(0_u32); +data.append(1_u32); +data.append(2_u32); + +let tensor = TensorTrait::::new(shape.span(), data.span()); + +return tensor; +} + +// 2D TENSOR +fn tensor_2D() -> Tensor { +let mut shape = ArrayTrait::new(); +shape.append(2); +shape.append(2); + +let mut data = ArrayTrait::new(); +data.append(0_u32); +data.append(1_u32); +data.append(2_u32); +data.append(3_u32); + +let tensor = TensorTrait::::new(shape.span(), data.span()); + +return tensor; +} + +// 3D TENSOR +fn tensor_3D() -> Tensor { +let mut shape = ArrayTrait::new(); +shape.append(2); +shape.append(2); +shape.append(2); + +let mut data = ArrayTrait::new(); +data.append(0_u32); +data.append(1_u32); +data.append(2_u32); +data.append(3_u32); +data.append(4_u32); +data.append(5_u32); +data.append(6_u32); +data.append(7_u32); + +let tensor = TensorTrait::::new(shape.span(), data.span()); + +return tensor; +} +``` \ No newline at end of file From 031784d82e9ccb5b7ec8b241343672bae374d8df Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Sun, 18 Jun 2023 09:30:10 +0300 Subject: [PATCH 004/126] convert elements to felt252 in tests --- src/tests/operators/linalg/matmul_test.cairo | 22 +- .../operators/math/reduce_sum_test.cairo | 31 +- .../leaky_relu/leaky_relu_i32_test.cairo | 16 +- .../nn/functional/linear/linear_test.cairo | 15 +- .../logsoftmax/logsoftmax_test.cairo | 21 +- .../nn/functional/relu/relu_i32_test.cairo | 9 +- .../nn/functional/softmax/softmax_test.cairo | 18 +- .../softplus/softplus_i32_test.cairo | 24 +- .../softsign/softsign_i32_test.cairo | 20 +- src/tests/operators/tensor/tensor_test.cairo | 313 +++++++++--------- src/tests/performance/quantization_test.cairo | 47 +-- 11 files changed, 241 insertions(+), 295 deletions(-) diff --git a/src/tests/operators/linalg/matmul_test.cairo b/src/tests/operators/linalg/matmul_test.cairo index 52b8b6d50..65a52011f 100644 --- a/src/tests/operators/linalg/matmul_test.cairo +++ b/src/tests/operators/linalg/matmul_test.cairo @@ -16,7 +16,7 @@ fn tensor_matmul() { let tensor_2 = i32_tensor_1x3_helper(); let result = tensor_1.matmul(@tensor_2); - assert(*result.data.at(0).mag == 5, 'result[0] = 5'); + assert((*result.data[0]).into() == 5, 'result[0] = 5'); assert(result.data.len() == 1, 'data len is 1'); assert(result.shape.len() == 1, 'shape len is 1'); @@ -25,10 +25,10 @@ fn tensor_matmul() { let tensor_2 = i32_tensor_2x2_helper(); let result = tensor_1.matmul(@tensor_2); - assert(*result.data.at(0).mag == 2, 'result[0] = 2'); - assert(*result.data.at(1).mag == 3, 'result[1] = 3'); - assert(*result.data.at(2).mag == 6, 'result[2] = 6'); - assert(*result.data.at(3).mag == 11, 'result[3] = 11'); + assert((*result.data[0]).into() == 2, 'result[0] = 2'); + assert((*result.data[1]).into() == 3, 'result[1] = 3'); + assert((*result.data[2]).into() == 6, 'result[2] = 6'); + assert((*result.data[3]).into() == 11, 'result[3] = 11'); assert(result.data.len() == 4, 'data len is 4'); assert(result.shape.len() == 2, 'shape len is 2'); } @@ -41,9 +41,9 @@ fn tensor_matmul_with_matrix_vec() { let tensor_2 = i32_tensor_1x3_helper(); let result = tensor_1.matmul(@tensor_2); - assert(*result.data.at(0).mag == 5, 'result[0] = 5'); - assert(*result.data.at(1).mag == 14, 'result[1] = 14'); - assert(*result.data.at(2).mag == 23, 'result[2] = 23'); + assert((*result.data[0]).into() == 5, 'result[0] = 5'); + assert((*result.data[1]).into() == 14, 'result[1] = 14'); + assert((*result.data[2]).into() == 23, 'result[2] = 23'); assert(result.data.len() == 3, 'data len is 3'); assert(result.shape.len() == 1, 'shape len is 1'); @@ -52,9 +52,9 @@ fn tensor_matmul_with_matrix_vec() { let tensor_2 = i32_tensor_3x3_helper(); let result = tensor_1.matmul(@tensor_2); - assert(*result.data.at(0).mag == 15, 'result[0] = 15'); - assert(*result.data.at(1).mag == 18, 'result[1] = 18'); - assert(*result.data.at(2).mag == 21, 'result[2] = 21'); + assert((*result.data[0]).into() == 15, 'result[0] = 15'); + assert((*result.data[1]).into() == 18, 'result[1] = 18'); + assert((*result.data[2]).into() == 21, 'result[2] = 21'); assert(result.data.len() == 3, 'data len is 3'); assert(result.shape.len() == 1, 'shape len is 1'); } diff --git a/src/tests/operators/math/reduce_sum_test.cairo b/src/tests/operators/math/reduce_sum_test.cairo index d74059fa8..c163fed7b 100644 --- a/src/tests/operators/math/reduce_sum_test.cairo +++ b/src/tests/operators/math/reduce_sum_test.cairo @@ -1,8 +1,11 @@ use array::SpanTrait; +use traits::Into; use orion::operators::tensor::implementations::impl_tensor_i32; use orion::operators::tensor::core::TensorTrait; -use orion::tests::operators::tensor::helpers::helpers_i32::{i32_tensor_2x2x2_helper, i32_tensor_1x3_helper}; +use orion::tests::operators::tensor::helpers::helpers_i32::{ + i32_tensor_2x2x2_helper, i32_tensor_1x3_helper +}; use debug::PrintTrait; @@ -12,7 +15,7 @@ fn reduce_sum_1d() { let tensor = i32_tensor_1x3_helper(); let result = tensor.reduce_sum(0, false); - assert(*result.data.at(0).mag == 3, 'result[0] = 3'); + assert((*result.data[0]).into() == 3, 'result[0] = 3'); assert(result.data.len() == 1, 'result.len = 1'); } @@ -23,22 +26,22 @@ fn reduce_sum_3d() { let result = tensor.reduce_sum(0, false); - assert(*result.data.at(0).mag == 4_u32, 'result[0] = 4'); - assert(*result.data.at(1).mag == 6_u32, 'result[1] = 6'); - assert(*result.data.at(2).mag == 8_u32, 'result[2] = 8'); - assert(*result.data.at(3).mag == 10_u32, 'result[3] = 10'); + assert((*result.data[0]).into() == 4, 'result[0] = 4'); + assert((*result.data[1]).into() == 6, 'result[1] = 6'); + assert((*result.data[2]).into() == 8, 'result[2] = 8'); + assert((*result.data[3]).into() == 10, 'result[3] = 10'); let result = tensor.reduce_sum(1, false).data; - assert(*result.at(0).mag == 2_u32, 'result[0] = 2'); - assert(*result.at(1).mag == 4_u32, 'result[1] = 4'); - assert(*result.at(2).mag == 10_u32, 'result[2] = 10'); - assert(*result.at(3).mag == 12_u32, 'result[3] = 12'); + assert((*result[0]).into() == 2, 'result[0] = 2'); + assert((*result[1]).into() == 4, 'result[1] = 4'); + assert((*result[2]).into() == 10, 'result[2] = 10'); + assert((*result[3]).into() == 12, 'result[3] = 12'); let result = tensor.reduce_sum(2, false).data; - assert(*result.at(0).mag == 1_u32, 'result[0] = 1'); - assert(*result.at(1).mag == 5_u32, 'result[1] = 5'); - assert(*result.at(2).mag == 9_u32, 'result[2] = 9'); - assert(*result.at(3).mag == 13_u32, 'result[3] = 13'); + assert((*result[0]).into() == 1, 'result[0] = 1'); + assert((*result[1]).into() == 5, 'result[1] = 5'); + assert((*result[2]).into() == 9, 'result[2] = 9'); + assert((*result[3]).into() == 13, 'result[3] = 13'); } diff --git a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo index 138e31129..972c1fd10 100644 --- a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo +++ b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo @@ -1,6 +1,7 @@ use core::option::OptionTrait; use array::ArrayTrait; use array::SpanTrait; +use traits::Into; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::operators::tensor::implementations::impl_tensor_i32; @@ -8,7 +9,6 @@ use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::{NNTrait}; use orion::operators::nn::implementations::impl_nn_i32; use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; - use orion::numbers::fixed_point::implementations::impl_8x23; #[test] @@ -41,16 +41,8 @@ fn leaky_relu_i32_test() { let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - let data_0 = *result.data.at(0); - assert(data_0.mag == impl_8x23::ONE, 'result[0] == 8388608'); // 1 - assert(data_0.sign == false, 'result[0].sign == false'); - - let data_3 = *result.data.at(3); - assert(data_3.mag == 1677722, 'result[3] == 1677722'); // 2 * 0.1 = 0.2 - assert(data_3.sign == true, 'result[3].sign == true'); - - let data_5 = *result.data.at(5); - assert(data_5.mag == 0, 'result[5] == 0'); - assert(data_5.sign == false, 'result[5].sign == false'); + assert((*result.data.at(0)).into() == 8388608, 'result[0] == 8388608'); // 1 + assert((*result.data.at(3)).into() == - 1677722, 'result[3] == - 1677722'); // 2 * 0.1 = - 0.2 + assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); } diff --git a/src/tests/operators/nn/functional/linear/linear_test.cairo b/src/tests/operators/nn/functional/linear/linear_test.cairo index 7b6fc56d8..6b0ce5117 100644 --- a/src/tests/operators/nn/functional/linear/linear_test.cairo +++ b/src/tests/operators/nn/functional/linear/linear_test.cairo @@ -1,5 +1,6 @@ use array::ArrayTrait; use array::SpanTrait; +use traits::Into; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::operators::tensor::implementations::impl_tensor_i32; @@ -46,17 +47,11 @@ fn linear_test() { // TEST UNQUANTIZED let result = NNTrait::linear(inputs, weights, bias, false).data; - assert( - *result.at(0_usize).mag == 5541_u32 & *result.at(0_usize).sign == false, 'result[0] = 5541' - ); - assert( - *result.at(1_usize).mag == 260_u32 & *result.at(1_usize).sign == true, 'result[1] = -260' - ); + assert((*result[0]).into() == 5541, 'result[0] = 5541'); + assert((*result[1]).into() == -260, 'result[1] = -260'); // TEST QUANTIZED let result = NNTrait::linear(inputs, weights, bias, true).data; - assert( - *result.at(0_usize).mag == 127_u32 & *result.at(0_usize).sign == false, 'result[0] = 127' - ); - assert(*result.at(1_usize).mag == 6_u32 & *result.at(1_usize).sign == true, 'result[1] = -6'); + assert((*result[0]).into() == 127, 'result[0] = 127'); + assert((*result[1]).into() == -6, 'result[1] = -6'); } diff --git a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo index 4b566a42a..7510c7278 100644 --- a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo +++ b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo @@ -1,16 +1,13 @@ use array::SpanTrait; - use traits::Into; use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2_helper; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::operators::tensor::implementations::impl_tensor_i32; use orion::numbers::fixed_point::core::FixedImpl; +use orion::numbers::fixed_point::implementations::impl_8x23; use orion::operators::nn::core::NNTrait; use orion::operators::nn::implementations::impl_nn_i32; -use debug::PrintTrait; - -use debug::print_felt252; #[test] #[available_gas(20000000)] @@ -21,15 +18,15 @@ fn logsoftmax_test() { let mut result = NNTrait::logsoftmax(@tensor, 0).data; - assert(*result.at(0).mag == 17841970, 'result[0] = -2.12693'); - assert(*result.at(1).mag == 17841970, 'result[1] = -2.12695'); - assert(*result.at(2).mag == 1064751, 'result[2] = -0.12692'); - assert(*result.at(3).mag == 1064751, 'result[3] = -0.12692'); + assert((*result[0]).into() == -17841970, 'result[0] = -2.12693'); + assert((*result[1]).into() == -17841970, 'result[1] = -2.12695'); + assert((*result[2]).into() == -1064751, 'result[2] = -0.12692'); + assert((*result[3]).into() == -1064751, 'result[3] = -0.12692'); let mut result = NNTrait::logsoftmax(@tensor, 1).data; - assert(*result.at(0).mag == 11016451, 'result[0] = -1.3134'); - assert(*result.at(1).mag == 2627827, 'result[1] = -0.3132'); - assert(*result.at(2).mag == 11016460, 'result[2] = -1.3134'); - assert(*result.at(3).mag == 2627829, 'result[3] = -0.3132'); + assert((*result.at(0)).into() == -11016451, 'result[0] = -1.3134'); + assert((*result.at(1)).into() == -2627827, 'result[1] = -0.3132'); + assert((*result.at(2)).into() == -11016460, 'result[2] = -1.3134'); + assert((*result.at(3)).into() == -2627829, 'result[3] = -0.3132'); } diff --git a/src/tests/operators/nn/functional/relu/relu_i32_test.cairo b/src/tests/operators/nn/functional/relu/relu_i32_test.cairo index fc1909e26..d70ff1e7c 100644 --- a/src/tests/operators/nn/functional/relu/relu_i32_test.cairo +++ b/src/tests/operators/nn/functional/relu/relu_i32_test.cairo @@ -1,5 +1,6 @@ use array::ArrayTrait; use array::SpanTrait; +use traits::Into; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::operators::tensor::implementations::impl_tensor_i32; @@ -33,10 +34,6 @@ fn relu_i32_test() { let mut result = NNTrait::relu(@tensor, threshold); let data_0 = *result.data.at(0); - assert(data_0.mag == 1_u32, 'result[0] == 1'); - assert(data_0.sign == false, 'result[0] == 1'); - - let data_3 = *result.data.at(3); - assert(data_3.mag == 0_u32, 'result[3] == 0'); - assert(data_3.sign == false, 'result[3] == 0'); + assert((*result.data.at(0)).into() == 1, 'result[0] == 1'); + assert((*result.data.at(3)).into() == 0, 'result[3] == 0'); } diff --git a/src/tests/operators/nn/functional/softmax/softmax_test.cairo b/src/tests/operators/nn/functional/softmax/softmax_test.cairo index e98ff4a03..3716cee06 100644 --- a/src/tests/operators/nn/functional/softmax/softmax_test.cairo +++ b/src/tests/operators/nn/functional/softmax/softmax_test.cairo @@ -1,11 +1,11 @@ use array::SpanTrait; - use traits::Into; use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2_helper; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::operators::tensor::implementations::impl_tensor_i32; use orion::numbers::fixed_point::core::FixedImpl; +use orion::numbers::fixed_point::implementations::impl_8x23; use orion::operators::nn::core::NNTrait; use orion::operators::nn::implementations::impl_nn_i32; @@ -20,15 +20,15 @@ fn softmax_test() { let mut result = NNTrait::softmax(@tensor, 0).data; - assert(*result.at(0).mag == 999946, 'result[0] = 0.1192'); - assert(*result.at(1).mag == 999946, 'result[1] = 0.1192'); - assert(*result.at(2).mag == 7388661, 'result[2] = 0.8808'); - assert(*result.at(3).mag == 7388661, 'result[3] = 0.8808'); + assert((*result.at(0)).into() == 999946, 'result[0] = 0.1192'); + assert((*result.at(1)).into() == 999946, 'result[1] = 0.1192'); + assert((*result.at(2)).into() == 7388661, 'result[2] = 0.8808'); + assert((*result.at(3)).into() == 7388661, 'result[3] = 0.8808'); let mut result = NNTrait::softmax(@tensor, 1).data; - assert(*result.at(0).mag == 2256044, 'result[0] = 0.2689'); - assert(*result.at(1).mag == 6132563, 'result[1] = 0.7311'); - assert(*result.at(2).mag == 2256043, 'result[2] = 0.2689'); - assert(*result.at(3).mag == 6132564, 'result[4] = 0.7311'); + assert((*result.at(0)).into() == 2256044, 'result[0] = 0.2689'); + assert((*result.at(1)).into() == 6132563, 'result[1] = 0.7311'); + assert((*result.at(2)).into() == 2256043, 'result[2] = 0.2689'); + assert((*result.at(3)).into() == 6132564, 'result[4] = 0.7311'); } diff --git a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo index 50797d98c..03260cc5e 100644 --- a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo +++ b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo @@ -1,6 +1,7 @@ use core::option::OptionTrait; use array::ArrayTrait; use array::SpanTrait; +use traits::Into; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::operators::tensor::implementations::impl_tensor_i32; @@ -8,10 +9,10 @@ use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::NNTrait; use orion::operators::nn::implementations::impl_nn_i32; use orion::numbers::fixed_point::core::FixedImpl; - +use orion::numbers::fixed_point::implementations::impl_8x23; #[test] -#[available_gas(5000000)] +#[available_gas(50000000)] fn softplus_i32_test() { let mut shape = ArrayTrait::::new(); shape.append(2); @@ -33,20 +34,9 @@ fn softplus_i32_test() { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softplus(@tensor); - let data_0 = *result.data.at(0); - assert(data_0.mag == 5814556, 'result[0] == 5814556'); // 0.6931452 - assert(data_0.sign == false, 'result[0].sign == false'); - - let data_1 = *result.data.at(1); - assert(data_1.mag == 11016447, 'result[1] == 11016447'); // 1.31326096 - assert(data_1.sign == false, 'result[1].sign == false'); - - let data_2 = *result.data.at(2); - assert(data_2.mag == 1064751, 'result[2] == 1064751'); // 0.12692797 - assert(data_2.sign == false, 'result[2].sign == false'); - - let data_3 = *result.data.at(3); - assert(data_3.mag == 407580, 'result[3] == 407580'); // 0.04858729 - assert(data_3.sign == false, 'result[3].sign == false'); + assert((*result.data.at(0)).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 + assert((*result.data.at(1)).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 + assert((*result.data.at(2)).into() == 1064751, 'result[2] == 1064751'); // 0.12692797 + assert((*result.data.at(3)).into() == 407580, 'result[3] == 407580'); // 0.04858729 } diff --git a/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo b/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo index 7de4417c2..70a54dc99 100644 --- a/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo +++ b/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo @@ -1,6 +1,7 @@ use core::option::OptionTrait; use array::ArrayTrait; use array::SpanTrait; +use traits::Into; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::operators::tensor::implementations::impl_tensor_i32; @@ -8,6 +9,7 @@ use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::NNTrait; use orion::operators::nn::implementations::impl_nn_i32; use orion::numbers::fixed_point::core::FixedImpl; +use orion::numbers::fixed_point::implementations::impl_8x23; #[test] #[available_gas(2000000)] @@ -33,19 +35,9 @@ fn softsign_i32_test() { let mut result = NNTrait::softsign(@tensor); let data = *result.data.at(0); - assert(data.mag == 0, 'result[0] == 0'); // 0 - assert(data.sign == false, 'result[0].sign == false'); - - let data = *result.data.at(1); - assert(data.mag == 4194304, 'result[1] == 4194304'); // 0.5 - assert(data.sign == false, 'result[1].sign == false'); - - let data = *result.data.at(2); - assert(data.mag == 5592405, 'result[2] == 5592405'); // -0.67 - assert(data.sign == true, 'result[2].sign == true'); - - let data = *result.data.at(3); - assert(data.mag == 6291456, 'result[3] == 6291456'); // -0.75 - assert(data.sign == true, 'result[3].sign == true'); + assert((*result.data.at(0)).into() == 0, 'result[0] == 0'); // 0 + assert((*result.data.at(1)).into() == 4194304, 'result[1] == 4194304'); // 0.5 + assert((*result.data.at(2)).into() == -5592405, 'result[2] == 5592405'); // -0.67 + assert((*result.data.at(3)).into() == -6291456, 'result[3] == 6291456'); // -0.75 } diff --git a/src/tests/operators/tensor/tensor_test.cairo b/src/tests/operators/tensor/tensor_test.cairo index 737d7076b..3e4390b4e 100644 --- a/src/tests/operators/tensor/tensor_test.cairo +++ b/src/tests/operators/tensor/tensor_test.cairo @@ -1,5 +1,6 @@ use array::ArrayTrait; use array::SpanTrait; +use traits::Into; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; @@ -149,14 +150,14 @@ fn add_tensor() { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0).mag == 0_u32, 'result[0] = 0'); - assert(*result.at(1).mag == 2_u32, 'result[1] = 2'); - assert(*result.at(2).mag == 4_u32, 'result[2] = 4'); - assert(*result.at(3).mag == 6_u32, 'result[3] = 6'); - assert(*result.at(4).mag == 8_u32, 'result[4] = 8'); - assert(*result.at(5).mag == 10_u32, 'result[5] = 10'); - assert(*result.at(6).mag == 12_u32, 'result[6] = 12'); - assert(*result.at(7).mag == 14_u32, 'result[7] = 14'); + assert((*result[0]).into() == 0, 'result[0] = 0'); + assert((*result[1]).into() == 2, 'result[1] = 2'); + assert((*result[2]).into() == 4, 'result[2] = 4'); + assert((*result[3]).into() == 6, 'result[3] = 6'); + assert((*result[4]).into() == 8, 'result[4] = 8'); + assert((*result[5]).into() == 10, 'result[5] = 10'); + assert((*result[6]).into() == 12, 'result[6] = 12'); + assert((*result[7]).into() == 14, 'result[7] = 14'); // broadcast operation @@ -172,14 +173,14 @@ fn add_tensor() { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0).mag == 10_u32, 'result[0] = 10'); - assert(*result.at(1).mag == 11_u32, 'result[1] = 11'); - assert(*result.at(2).mag == 102_u32, 'result[2] = 102'); - assert(*result.at(3).mag == 103_u32, 'result[3] = 103'); - assert(*result.at(4).mag == 14_u32, 'result[4] = 14'); - assert(*result.at(5).mag == 15_u32, 'result[5] = 15'); - assert(*result.at(6).mag == 106_u32, 'result[6] = 106'); - assert(*result.at(7).mag == 107_u32, 'result[7] = 107'); + assert((*result[0]).into() == 10, 'result[0] = 10'); + assert((*result[1]).into() == 11, 'result[1] = 11'); + assert((*result[2]).into() == 102, 'result[2] = 102'); + assert((*result[3]).into() == 103, 'result[3] = 103'); + assert((*result[4]).into() == 14, 'result[4] = 14'); + assert((*result[5]).into() == 15, 'result[5] = 15'); + assert((*result[6]).into() == 106, 'result[6] = 106'); + assert((*result[7]).into() == 107, 'result[7] = 107'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -193,14 +194,14 @@ fn add_tensor() { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0).mag == 10_u32, 'result[0] = 10'); - assert(*result.at(1).mag == 11_u32, 'result[1] = 11'); - assert(*result.at(2).mag == 12_u32, 'result[2] = 12'); - assert(*result.at(3).mag == 13_u32, 'result[3] = 13'); - assert(*result.at(4).mag == 104_u32, 'result[4] = 104'); - assert(*result.at(5).mag == 105_u32, 'result[5] = 105'); - assert(*result.at(6).mag == 106_u32, 'result[6] = 106'); - assert(*result.at(7).mag == 107_u32, 'result[7] = 107'); + assert((*result[0]).into() == 10, 'result[0] = 10'); + assert((*result[1]).into() == 11, 'result[1] = 11'); + assert((*result[2]).into() == 12, 'result[2] = 12'); + assert((*result[3]).into() == 13, 'result[3] = 13'); + assert((*result[4]).into() == 104, 'result[4] = 104'); + assert((*result[5]).into() == 105, 'result[5] = 105'); + assert((*result[6]).into() == 106, 'result[6] = 106'); + assert((*result[7]).into() == 107, 'result[7] = 107'); let mut sizes = ArrayTrait::new(); sizes.append(1); @@ -214,14 +215,14 @@ fn add_tensor() { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0).mag == 10_u32, 'result[0] = 10'); - assert(*result.at(1).mag == 101_u32, 'result[1] = 101'); - assert(*result.at(2).mag == 12_u32, 'result[2] = 12'); - assert(*result.at(3).mag == 103_u32, 'result[3] = 103'); - assert(*result.at(4).mag == 14_u32, 'result[4] = 14'); - assert(*result.at(5).mag == 105_u32, 'result[5] = 105'); - assert(*result.at(6).mag == 16_u32, 'result[6] = 16'); - assert(*result.at(7).mag == 107_u32, 'result[7] = 107'); + assert((*result[0]).into() == 10, 'result[0] = 10'); + assert((*result[1]).into() == 101, 'result[1] = 101'); + assert((*result[2]).into() == 12, 'result[2] = 12'); + assert((*result[3]).into() == 103, 'result[3] = 103'); + assert((*result[4]).into() == 14, 'result[4] = 14'); + assert((*result[5]).into() == 105, 'result[5] = 105'); + assert((*result[6]).into() == 16, 'result[6] = 16'); + assert((*result[7]).into() == 107, 'result[7] = 107'); } #[test] @@ -232,14 +233,14 @@ fn sub_tensor() { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0).mag == 0_u32, 'result[0] = 0'); - assert(*result.at(1).mag == 0_u32, 'result[1] = 0'); - assert(*result.at(2).mag == 0_u32, 'result[2] = 0'); - assert(*result.at(3).mag == 0_u32, 'result[3] = 0'); - assert(*result.at(4).mag == 0_u32, 'result[4] = 0'); - assert(*result.at(5).mag == 0_u32, 'result[5] = 0'); - assert(*result.at(6).mag == 0_u32, 'result[6] = 0'); - assert(*result.at(7).mag == 0_u32, 'result[7] = 0'); + assert((*result[0]).into() == 0, 'result[0] = 0'); + assert((*result[1]).into() == 0, 'result[1] = 0'); + assert((*result[2]).into() == 0, 'result[2] = 0'); + assert((*result[3]).into() == 0, 'result[3] = 0'); + assert((*result[4]).into() == 0, 'result[4] = 0'); + assert((*result[5]).into() == 0, 'result[5] = 0'); + assert((*result[6]).into() == 0, 'result[6] = 0'); + assert((*result[7]).into() == 0, 'result[7] = 0'); // broadcast operation @@ -255,14 +256,14 @@ fn sub_tensor() { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0).mag == 0_u32, 'result[0] = 0'); - assert(*result.at(1).mag == 1_u32, 'result[1] = 1'); - assert(*result.at(2).mag == 1_u32, 'result[2] = 1'); - assert(*result.at(3).mag == 2_u32, 'result[3] = 2'); - assert(*result.at(4).mag == 4_u32, 'result[4] = 4'); - assert(*result.at(5).mag == 5_u32, 'result[5] = 5'); - assert(*result.at(6).mag == 5_u32, 'result[6] = 5'); - assert(*result.at(7).mag == 6_u32, 'result[7] = 6'); + assert((*result[0]).into() == 0, 'result[0] = 0'); + assert((*result[1]).into() == 1, 'result[1] = 1'); + assert((*result[2]).into() == 1, 'result[2] = 1'); + assert((*result[3]).into() == 2, 'result[3] = 2'); + assert((*result[4]).into() == 4, 'result[4] = 4'); + assert((*result[5]).into() == 5, 'result[5] = 5'); + assert((*result[6]).into() == 5, 'result[6] = 5'); + assert((*result[7]).into() == 6, 'result[7] = 6'); } #[test] @@ -273,14 +274,14 @@ fn mul_tensor() { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0).mag == 0_u32, 'result[0] = 0'); - assert(*result.at(1).mag == 1_u32, 'result[1] = 1'); - assert(*result.at(2).mag == 4_u32, 'result[2] = 4'); - assert(*result.at(3).mag == 9_u32, 'result[3] = 9'); - assert(*result.at(4).mag == 16_u32, 'result[4] = 16'); - assert(*result.at(5).mag == 25_u32, 'result[5] = 25'); - assert(*result.at(6).mag == 36_u32, 'result[6] = 36'); - assert(*result.at(7).mag == 49_u32, 'result[7] = 49'); + assert((*result[0]).into() == 0, 'result[0] = 0'); + assert((*result[1]).into() == 1, 'result[1] = 1'); + assert((*result[2]).into() == 4, 'result[2] = 4'); + assert((*result[3]).into() == 9, 'result[3] = 9'); + assert((*result[4]).into() == 16, 'result[4] = 16'); + assert((*result[5]).into() == 25, 'result[5] = 25'); + assert((*result[6]).into() == 36, 'result[6] = 36'); + assert((*result[7]).into() == 49, 'result[7] = 49'); // broadcast operation @@ -296,14 +297,14 @@ fn mul_tensor() { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0).mag == 0_u32, 'result[0] = 0'); - assert(*result.at(1).mag == 10_u32, 'result[1] = 10'); - assert(*result.at(2).mag == 200_u32, 'result[2] = 200'); - assert(*result.at(3).mag == 300_u32, 'result[3] = 300'); - assert(*result.at(4).mag == 40_u32, 'result[4] = 40'); - assert(*result.at(5).mag == 50_u32, 'result[5] = 50'); - assert(*result.at(6).mag == 600_u32, 'result[6] = 600'); - assert(*result.at(7).mag == 700_u32, 'result[7] = 700'); + assert((*result[0]).into() == 0, 'result[0] = 0'); + assert((*result[1]).into() == 10, 'result[1] = 10'); + assert((*result[2]).into() == 200, 'result[2] = 200'); + assert((*result[3]).into() == 300, 'result[3] = 300'); + assert((*result[4]).into() == 40, 'result[4] = 40'); + assert((*result[5]).into() == 50, 'result[5] = 50'); + assert((*result[6]).into() == 600, 'result[6] = 600'); + assert((*result[7]).into() == 700, 'result[7] = 700'); } #[test] @@ -343,14 +344,14 @@ fn div_tensor() { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0).mag == 1_u32, 'result[0] = 1'); - assert(*result.at(1).mag == 1_u32, 'result[1] = 1'); - assert(*result.at(2).mag == 1_u32, 'result[2] = 1'); - assert(*result.at(3).mag == 1_u32, 'result[3] = 1'); - assert(*result.at(4).mag == 1_u32, 'result[4] = 1'); - assert(*result.at(5).mag == 1_u32, 'result[5] = 1'); - assert(*result.at(6).mag == 1_u32, 'result[6] = 1'); - assert(*result.at(7).mag == 1_u32, 'result[7] = 1'); + assert((*result[0]).into() == 1, 'result[0] = 1'); + assert((*result[1]).into() == 1, 'result[1] = 1'); + assert((*result[2]).into() == 1, 'result[2] = 1'); + assert((*result[3]).into() == 1, 'result[3] = 1'); + assert((*result[4]).into() == 1, 'result[4] = 1'); + assert((*result[5]).into() == 1, 'result[5] = 1'); + assert((*result[6]).into() == 1, 'result[6] = 1'); + assert((*result[7]).into() == 1, 'result[7] = 1'); // broadcast operation @@ -366,14 +367,14 @@ fn div_tensor() { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0).mag == 10_u32, 'result[0] = 10'); - assert(*result.at(1).mag == 20_u32, 'result[1] = 20'); - assert(*result.at(2).mag == 3_u32, 'result[2] = 3'); - assert(*result.at(3).mag == 4_u32, 'result[3] = 4'); - assert(*result.at(4).mag == 50_u32, 'result[4] = 50'); - assert(*result.at(5).mag == 60_u32, 'result[5] = 60'); - assert(*result.at(6).mag == 7_u32, 'result[6] = 7'); - assert(*result.at(7).mag == 8_u32, 'result[7] = 8'); + assert((*result[0]).into() == 10, 'result[0] = 10'); + assert((*result[1]).into() == 20, 'result[1] = 20'); + assert((*result[2]).into() == 3, 'result[2] = 3'); + assert((*result[3]).into() == 4, 'result[3] = 4'); + assert((*result[4]).into() == 50, 'result[4] = 50'); + assert((*result[5]).into() == 60, 'result[5] = 60'); + assert((*result[6]).into() == 7, 'result[6] = 7'); + assert((*result[7]).into() == 8, 'result[7] = 8'); } #[test] @@ -387,10 +388,10 @@ fn tensor_transpose_2D() { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0).mag == 0, 'result[0] = 0'); - assert(*result.data.at(1).mag == 2, 'result[1] = 2'); - assert(*result.data.at(2).mag == 1, 'result[2] = 1'); - assert(*result.data.at(3).mag == 3, 'result[3] = 3'); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 2, 'result[1] = 2'); + assert((*result.data[2]).into() == 1, 'result[2] = 1'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); assert(*result.shape.at(0) == 2, 'shape[0] = 2'); assert(*result.shape.at(1) == 2, 'shape[1] = 2'); @@ -398,12 +399,12 @@ fn tensor_transpose_2D() { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0).mag == 0, 'result[0] = 0'); - assert(*result.data.at(1).mag == 2, 'result[1] = 2'); - assert(*result.data.at(2).mag == 4, 'result[2] = 4'); - assert(*result.data.at(3).mag == 1, 'result[3] = 1'); - assert(*result.data.at(4).mag == 3, 'result[4] = 3'); - assert(*result.data.at(5).mag == 5, 'result[5] = 5'); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 2, 'result[1] = 2'); + assert((*result.data[2]).into() == 4, 'result[2] = 4'); + assert((*result.data[3]).into() == 1, 'result[3] = 1'); + assert((*result.data[4]).into() == 3, 'result[4] = 3'); + assert((*result.data[5]).into() == 5, 'result[5] = 5'); assert(*result.shape.at(0) == 2, 'shape[0] = 2'); assert(*result.shape.at(1) == 3, 'shape[1] = 3'); @@ -411,12 +412,12 @@ fn tensor_transpose_2D() { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0).mag == 0, 'result[0] = 0'); - assert(*result.data.at(1).mag == 3, 'result[1] = 3'); - assert(*result.data.at(2).mag == 1, 'result[2] = 1'); - assert(*result.data.at(3).mag == 4, 'result[3] = 4'); - assert(*result.data.at(4).mag == 2, 'result[4] = 2'); - assert(*result.data.at(5).mag == 5, 'result[5] = 5'); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 3, 'result[1] = 3'); + assert((*result.data[2]).into() == 1, 'result[2] = 1'); + assert((*result.data[3]).into() == 4, 'result[3] = 4'); + assert((*result.data[4]).into() == 2, 'result[4] = 2'); + assert((*result.data[5]).into() == 5, 'result[5] = 5'); assert(*result.shape.at(0) == 3, 'shape[0] = 3'); assert(*result.shape.at(1) == 2, 'shape[1] = 2'); } @@ -433,14 +434,14 @@ fn tensor_transpose_3D() { let result = tensor.transpose(axes.span()).data; - assert(*result.at(0).mag == 0, 'result[0] = 0'); - assert(*result.at(1).mag == 4, 'result[1] = 4'); - assert(*result.at(2).mag == 1, 'result[2] = 1'); - assert(*result.at(3).mag == 5, 'result[3] = 5'); - assert(*result.at(4).mag == 2, 'result[4] = 2'); - assert(*result.at(5).mag == 6, 'result[5] = 6'); - assert(*result.at(6).mag == 3, 'result[6] = 3'); - assert(*result.at(7).mag == 7, 'result[7] = 7'); + assert((*result[0]).into() == 0, 'result[0] = 0'); + assert((*result[1]).into() == 4, 'result[1] = 4'); + assert((*result[2]).into() == 1, 'result[2] = 1'); + assert((*result[3]).into() == 5, 'result[3] = 5'); + assert((*result[4]).into() == 2, 'result[4] = 2'); + assert((*result[5]).into() == 6, 'result[5] = 6'); + assert((*result[6]).into() == 3, 'result[6] = 3'); + assert((*result[7]).into() == 7, 'result[7] = 7'); let mut axes: Array = ArrayTrait::new(); axes.append(2); @@ -449,14 +450,14 @@ fn tensor_transpose_3D() { let result = tensor.transpose(axes.span()).data; - assert(*result.at(0).mag == 0, 'result[0] = 0'); - assert(*result.at(1).mag == 4, 'result[1] = 4'); - assert(*result.at(2).mag == 2, 'result[2] = 2'); - assert(*result.at(3).mag == 6, 'result[3] = 6'); - assert(*result.at(4).mag == 1, 'result[4] = 1'); - assert(*result.at(5).mag == 5, 'result[5] = 5'); - assert(*result.at(6).mag == 3, 'result[6] = 3'); - assert(*result.at(7).mag == 7, 'result[7] = 7'); + assert((*result[0]).into() == 0, 'result[0] = 0'); + assert((*result[1]).into() == 4, 'result[1] = 4'); + assert((*result[2]).into() == 2, 'result[2] = 2'); + assert((*result[3]).into() == 6, 'result[3] = 6'); + assert((*result[4]).into() == 1, 'result[4] = 1'); + assert((*result[5]).into() == 5, 'result[5] = 5'); + assert((*result[6]).into() == 3, 'result[6] = 3'); + assert((*result[7]).into() == 7, 'result[7] = 7'); let mut axes: Array = ArrayTrait::new(); axes.append(0); @@ -465,14 +466,14 @@ fn tensor_transpose_3D() { let result = tensor.transpose(axes.span()).data; - assert(*result.at(0).mag == 0, 'result[0] = 0'); - assert(*result.at(1).mag == 2, 'result[1] = 2'); - assert(*result.at(2).mag == 1, 'result[2] = 1'); - assert(*result.at(3).mag == 3, 'result[3] = 3'); - assert(*result.at(4).mag == 4, 'result[4] = 4'); - assert(*result.at(5).mag == 6, 'result[5] = 6'); - assert(*result.at(6).mag == 5, 'result[6] = 5'); - assert(*result.at(7).mag == 7, 'result[7] = 7'); + assert((*result[0]).into() == 0, 'result[0] = 0'); + assert((*result[1]).into() == 2, 'result[1] = 2'); + assert((*result[2]).into() == 1, 'result[2] = 1'); + assert((*result[3]).into() == 3, 'result[3] = 3'); + assert((*result[4]).into() == 4, 'result[4] = 4'); + assert((*result[5]).into() == 6, 'result[5] = 6'); + assert((*result[6]).into() == 5, 'result[6] = 5'); + assert((*result[7]).into() == 7, 'result[7] = 7'); let tensor = i32_tensor_3x2x2_helper(); @@ -483,18 +484,18 @@ fn tensor_transpose_3D() { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0).mag == 0, 'result[0] = 0'); - assert(*result.data.at(1).mag == 4, 'result[1] = 4'); - assert(*result.data.at(2).mag == 8, 'result[2] = 8'); - assert(*result.data.at(3).mag == 1, 'result[3] = 1'); - assert(*result.data.at(4).mag == 5, 'result[4] = 5'); - assert(*result.data.at(5).mag == 9, 'result[5] = 9'); - assert(*result.data.at(6).mag == 2, 'result[6] = 2'); - assert(*result.data.at(7).mag == 6, 'result[7] = 6'); - assert(*result.data.at(8).mag == 10, 'result[7] = 10'); - assert(*result.data.at(9).mag == 3, 'result[7] = 3'); - assert(*result.data.at(10).mag == 7, 'result[7] = 7'); - assert(*result.data.at(11).mag == 11, 'result[7] = 11'); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 4, 'result[1] = 4'); + assert((*result.data[2]).into() == 8, 'result[2] = 8'); + assert((*result.data[3]).into() == 1, 'result[3] = 1'); + assert((*result.data[4]).into() == 5, 'result[4] = 5'); + assert((*result.data[5]).into() == 9, 'result[5] = 9'); + assert((*result.data[6]).into() == 2, 'result[6] = 2'); + assert((*result.data[7]).into() == 6, 'result[7] = 6'); + assert((*result.data[8]).into() == 10, 'result[7] = 10'); + assert((*result.data[9]).into() == 3, 'result[7] = 3'); + assert((*result.data[10]).into() == 7, 'result[7] = 7'); + assert((*result.data[11]).into() == 11, 'result[7] = 11'); assert(*result.shape.at(0) == 2, 'shape[0] = 2'); assert(*result.shape.at(1) == 2, 'shape[1] = 2'); assert(*result.shape.at(2) == 3, 'shape[2] = 3'); @@ -506,18 +507,18 @@ fn tensor_transpose_3D() { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0).mag == 0, 'result[0] = 0'); - assert(*result.data.at(1).mag == 4, 'result[1] = 4'); - assert(*result.data.at(2).mag == 8, 'result[2] = 8'); - assert(*result.data.at(3).mag == 2, 'result[3] = 2'); - assert(*result.data.at(4).mag == 6, 'result[4] = 6'); - assert(*result.data.at(5).mag == 10, 'result[5] = 10'); - assert(*result.data.at(6).mag == 1, 'result[6] = 1'); - assert(*result.data.at(7).mag == 5, 'result[7] = 5'); - assert(*result.data.at(8).mag == 9, 'result[7] = 9'); - assert(*result.data.at(9).mag == 3, 'result[7] = 3'); - assert(*result.data.at(10).mag == 7, 'result[7] = 7'); - assert(*result.data.at(11).mag == 11, 'result[7] = 11'); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 4, 'result[1] = 4'); + assert((*result.data[2]).into() == 8, 'result[2] = 8'); + assert((*result.data[3]).into() == 2, 'result[3] = 2'); + assert((*result.data[4]).into() == 6, 'result[4] = 6'); + assert((*result.data[5]).into() == 10, 'result[5] = 10'); + assert((*result.data[6]).into() == 1, 'result[6] = 1'); + assert((*result.data[7]).into() == 5, 'result[7] = 5'); + assert((*result.data[8]).into() == 9, 'result[7] = 9'); + assert((*result.data[9]).into() == 3, 'result[7] = 3'); + assert((*result.data[10]).into() == 7, 'result[7] = 7'); + assert((*result.data[11]).into() == 11, 'result[7] = 11'); assert(*result.shape.at(0) == 2, 'shape[0] = 2'); assert(*result.shape.at(1) == 2, 'shape[1] = 2'); assert(*result.shape.at(2) == 3, 'shape[2] = 3'); @@ -529,18 +530,18 @@ fn tensor_transpose_3D() { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0).mag == 0, 'result[0] = 0'); - assert(*result.data.at(1).mag == 2, 'result[1] = 2'); - assert(*result.data.at(2).mag == 1, 'result[2] = 1'); - assert(*result.data.at(3).mag == 3, 'result[3] = 3'); - assert(*result.data.at(4).mag == 4, 'result[4] = 4'); - assert(*result.data.at(5).mag == 6, 'result[5] = 6'); - assert(*result.data.at(6).mag == 5, 'result[6] = 5'); - assert(*result.data.at(7).mag == 7, 'result[7] = 7'); - assert(*result.data.at(8).mag == 8, 'result[7] = 8'); - assert(*result.data.at(9).mag == 10, 'result[7] = 10'); - assert(*result.data.at(10).mag == 9, 'result[7] = 9'); - assert(*result.data.at(11).mag == 11, 'result[7] = 11'); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 2, 'result[1] = 2'); + assert((*result.data[2]).into() == 1, 'result[2] = 1'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 6, 'result[5] = 6'); + assert((*result.data[6]).into() == 5, 'result[6] = 5'); + assert((*result.data[7]).into() == 7, 'result[7] = 7'); + assert((*result.data[8]).into() == 8, 'result[7] = 8'); + assert((*result.data[9]).into() == 10, 'result[7] = 10'); + assert((*result.data[10]).into() == 9, 'result[7] = 9'); + assert((*result.data[11]).into() == 11, 'result[7] = 11'); assert(*result.shape.at(0) == 3, 'shape[0] = 3'); assert(*result.shape.at(1) == 2, 'shape[1] = 2'); assert(*result.shape.at(2) == 2, 'shape[2] = 2'); diff --git a/src/tests/performance/quantization_test.cairo b/src/tests/performance/quantization_test.cairo index be8830ab3..cfab4278c 100644 --- a/src/tests/performance/quantization_test.cairo +++ b/src/tests/performance/quantization_test.cairo @@ -1,5 +1,6 @@ use array::ArrayTrait; use array::SpanTrait; +use traits::Into; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; @@ -31,23 +32,12 @@ fn quantize_linear_test() { let mut res = PerfomanceTrait::quantize_linear(@tensor); - assert(*res.data.at(0_usize).mag == 127_u32, '*result[0] == -127'); - assert(*res.data.at(0_usize).sign == true, '*result[0] -> negative'); - - assert(*res.data.at(1_usize).mag == 101_u32, '*result[1] == 101'); - assert(*res.data.at(1_usize).sign == false, '*result[1] -> positive'); - - assert(*res.data.at(2_usize).mag == 51_u32, '*result[2] == -51'); - assert(*res.data.at(2_usize).sign == true, '*result[2] -> negative'); - - assert(*res.data.at(3_usize).mag == 124_u32, '*result[3] == 124'); - assert(*res.data.at(3_usize).sign == false, '*result[3] -> positive'); - - assert(*res.data.at(4_usize).mag == 80_u32, '*result[4] == -80'); - assert(*res.data.at(4_usize).sign == true, '*result[4] -> negative'); - - assert(*res.data.at(5_usize).mag == 64_u32, '*result[5] == 64'); - assert(*res.data.at(5_usize).sign == false, '*result[5] -> positive'); + assert((*res.data[0]).into() == -127, '*result[0] == -127'); + assert((*res.data[1]).into() == 101, '*result[1] == 101'); + assert((*res.data[2]).into() == -51, '*result[2] == -51'); + assert((*res.data[3]).into() == 124, '*result[3] == 124'); + assert((*res.data[4]).into() == -80, '*result[4] == -80'); + assert((*res.data[5]).into() == 64, '*result[5] == 64'); } #[test] @@ -71,21 +61,10 @@ fn quantize_linear_from_fp_test() { let mut res = PerfomanceTrait::::quantize_linear_from_fp(@tensor); - assert(*res.data.at(0_usize).mag == 63, '*result[0] == 63'); - assert(*res.data.at(0_usize).sign == false, '*result[0] -> positive'); - - assert(*res.data.at(1_usize).mag == 95, '*result[1] == 95'); - assert(*res.data.at(1_usize).sign == false, '*result[1] -> positive'); - - assert(*res.data.at(2_usize).mag == 127, '*result[2] == 127'); - assert(*res.data.at(2_usize).sign == false, '*result[2] -> positive'); - - assert(*res.data.at(3_usize).mag == 63, '*result[3] == -63'); - assert(*res.data.at(3_usize).sign == true, '*result[3] -> negative'); - - assert(*res.data.at(4_usize).mag == 95, '*result[4] == -95'); - assert(*res.data.at(4_usize).sign == true, '*result[4] -> negative'); - - assert(*res.data.at(5_usize).mag == 127, '*result[5] == -127'); - assert(*res.data.at(5_usize).sign == true, '*result[5] -> negative'); + assert((*res.data[0]).into() == 63, '*result[0] == 63'); + assert((*res.data[1]).into() == 95, '*result[1] == 95'); + assert((*res.data[2]).into() == 127, '*result[2] == 127'); + assert((*res.data[3]).into() == -63, '*result[3] == -63'); + assert((*res.data[4]).into() == -95, '*result[4] == -95'); + assert((*res.data[5]).into() == -127, '*result[5] == -127'); } From 947b72cb6f3305b572b6956d2487ef20ce022df9 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Sun, 18 Jun 2023 19:07:56 +0300 Subject: [PATCH 005/126] move test helpers directory --- src/tests.cairo | 1 + src/tests/helpers.cairo | 1 + src/tests/helpers/tensor.cairo | 3 +++ src/tests/helpers/tensor/fixed_point.cairo | 2 ++ .../tensor/fixed_point/fp16x16.cairo} | 0 .../tensor/fixed_point/fp8x23.cairo} | 0 .../helpers/helpers_i32.cairo => helpers/tensor/i32.cairo} | 0 .../helpers/helpers_u32.cairo => helpers/tensor/u32.cairo} | 0 src/tests/operators/linalg/matmul_test.cairo | 2 +- .../math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo | 4 ++-- .../math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo | 4 ++-- src/tests/operators/math/argmax/argmax_i32_test.cairo | 4 ++-- src/tests/operators/math/argmax/argmax_u32_test.cairo | 4 ++-- .../math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo | 4 ++-- .../math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo | 4 ++-- src/tests/operators/math/argmin/argmin_i32_test.cairo | 4 ++-- src/tests/operators/math/argmin/argmin_u32_test.cairo | 4 ++-- src/tests/operators/math/exp_test.cairo | 2 +- src/tests/operators/math/ln_test.cairo | 2 +- src/tests/operators/math/max_test.cairo | 2 +- src/tests/operators/math/min_test.cairo | 2 +- src/tests/operators/math/reduce_sum_test.cairo | 4 +--- .../operators/nn/functional/logsoftmax/logsoftmax_test.cairo | 2 +- src/tests/operators/nn/functional/softmax/softmax_test.cairo | 2 +- src/tests/operators/tensor.cairo | 3 +-- src/tests/operators/tensor/helpers.cairo | 3 --- src/tests/operators/tensor/helpers/helpers_fp.cairo | 2 -- src/tests/operators/tensor/tensor_test.cairo | 2 +- 28 files changed, 33 insertions(+), 34 deletions(-) create mode 100644 src/tests/helpers.cairo create mode 100644 src/tests/helpers/tensor.cairo create mode 100644 src/tests/helpers/tensor/fixed_point.cairo rename src/tests/{operators/tensor/helpers/helpers_fp/fp16x16_helpers.cairo => helpers/tensor/fixed_point/fp16x16.cairo} (100%) rename src/tests/{operators/tensor/helpers/helpers_fp/fp8x23_helpers.cairo => helpers/tensor/fixed_point/fp8x23.cairo} (100%) rename src/tests/{operators/tensor/helpers/helpers_i32.cairo => helpers/tensor/i32.cairo} (100%) rename src/tests/{operators/tensor/helpers/helpers_u32.cairo => helpers/tensor/u32.cairo} (100%) delete mode 100644 src/tests/operators/tensor/helpers.cairo delete mode 100644 src/tests/operators/tensor/helpers/helpers_fp.cairo diff --git a/src/tests.cairo b/src/tests.cairo index 6078e871f..c142d6926 100644 --- a/src/tests.cairo +++ b/src/tests.cairo @@ -1,3 +1,4 @@ mod numbers; mod performance; mod operators; +mod helpers; \ No newline at end of file diff --git a/src/tests/helpers.cairo b/src/tests/helpers.cairo new file mode 100644 index 000000000..3344878ea --- /dev/null +++ b/src/tests/helpers.cairo @@ -0,0 +1 @@ +mod tensor; \ No newline at end of file diff --git a/src/tests/helpers/tensor.cairo b/src/tests/helpers/tensor.cairo new file mode 100644 index 000000000..4509b1c62 --- /dev/null +++ b/src/tests/helpers/tensor.cairo @@ -0,0 +1,3 @@ +mod fixed_point; +mod i32; +mod u32; \ No newline at end of file diff --git a/src/tests/helpers/tensor/fixed_point.cairo b/src/tests/helpers/tensor/fixed_point.cairo new file mode 100644 index 000000000..468e9a6a7 --- /dev/null +++ b/src/tests/helpers/tensor/fixed_point.cairo @@ -0,0 +1,2 @@ +mod fp8x23; +mod fp16x16; \ No newline at end of file diff --git a/src/tests/operators/tensor/helpers/helpers_fp/fp16x16_helpers.cairo b/src/tests/helpers/tensor/fixed_point/fp16x16.cairo similarity index 100% rename from src/tests/operators/tensor/helpers/helpers_fp/fp16x16_helpers.cairo rename to src/tests/helpers/tensor/fixed_point/fp16x16.cairo diff --git a/src/tests/operators/tensor/helpers/helpers_fp/fp8x23_helpers.cairo b/src/tests/helpers/tensor/fixed_point/fp8x23.cairo similarity index 100% rename from src/tests/operators/tensor/helpers/helpers_fp/fp8x23_helpers.cairo rename to src/tests/helpers/tensor/fixed_point/fp8x23.cairo diff --git a/src/tests/operators/tensor/helpers/helpers_i32.cairo b/src/tests/helpers/tensor/i32.cairo similarity index 100% rename from src/tests/operators/tensor/helpers/helpers_i32.cairo rename to src/tests/helpers/tensor/i32.cairo diff --git a/src/tests/operators/tensor/helpers/helpers_u32.cairo b/src/tests/helpers/tensor/u32.cairo similarity index 100% rename from src/tests/operators/tensor/helpers/helpers_u32.cairo rename to src/tests/helpers/tensor/u32.cairo diff --git a/src/tests/operators/linalg/matmul_test.cairo b/src/tests/operators/linalg/matmul_test.cairo index 65a52011f..17ee35cec 100644 --- a/src/tests/operators/linalg/matmul_test.cairo +++ b/src/tests/operators/linalg/matmul_test.cairo @@ -4,7 +4,7 @@ use traits::Into; use orion::operators::tensor::implementations::impl_tensor_i32; use orion::operators::tensor::core::TensorTrait; -use orion::tests::operators::tensor::helpers::helpers_i32::{ +use orion::tests::helpers::tensor::i32::{ i32_tensor_1x3_helper, i32_tensor_2x2_helper, i32_tensor_3x3_helper }; diff --git a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo index 2d9a7fc26..df656a21c 100644 --- a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo +++ b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo @@ -119,7 +119,7 @@ mod tensor2x2_argmax_fp { use orion::numbers::fixed_point::implementations::impl_16x16; use orion::operators::tensor::implementations::impl_tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_fp::fp16x16_helpers::{ + use orion::tests::helpers::tensor::fixed_point::fp16x16::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper }; @@ -210,7 +210,7 @@ mod tensor2x2x2_argmax_fp { use orion::numbers::fixed_point::implementations::impl_16x16; use orion::operators::tensor::implementations::impl_tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_fp::fp16x16_helpers::{ + use orion::tests::helpers::tensor::fixed_point::fp16x16::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper }; diff --git a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo index 775da8afb..6186a02c3 100644 --- a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo +++ b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo @@ -119,7 +119,7 @@ mod tensor2x2_argmax_fp { use orion::numbers::fixed_point::implementations::impl_8x23; use orion::operators::tensor::implementations::impl_tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_fp::fp8x23_helpers::{ + use orion::tests::helpers::tensor::fixed_point::fp8x23::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper }; @@ -210,7 +210,7 @@ mod tensor2x2x2_argmax_fp { use orion::numbers::fixed_point::implementations::impl_8x23; use orion::operators::tensor::implementations::impl_tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_fp::fp8x23_helpers::{ + use orion::tests::helpers::tensor::fixed_point::fp8x23::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper }; diff --git a/src/tests/operators/math/argmax/argmax_i32_test.cairo b/src/tests/operators/math/argmax/argmax_i32_test.cairo index 4161bcb6a..5d082308e 100644 --- a/src/tests/operators/math/argmax/argmax_i32_test.cairo +++ b/src/tests/operators/math/argmax/argmax_i32_test.cairo @@ -116,7 +116,7 @@ mod tensor2x2_argmax_i32 { use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_i32::{i32_tensor_1x3_helper,i32_tensor_2x2_helper, i32_tensor_2x2x2_helper}; + use orion::tests::helpers::tensor::i32::{i32_tensor_1x3_helper,i32_tensor_2x2_helper, i32_tensor_2x2x2_helper}; #[test] #[available_gas(20000000)] @@ -203,7 +203,7 @@ mod tensor2x2x2_argmax_i32 { use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_i32::{i32_tensor_1x3_helper,i32_tensor_2x2_helper, i32_tensor_2x2x2_helper}; + use orion::tests::helpers::tensor::i32::{i32_tensor_1x3_helper,i32_tensor_2x2_helper, i32_tensor_2x2x2_helper}; #[test] #[available_gas(20000000)] diff --git a/src/tests/operators/math/argmax/argmax_u32_test.cairo b/src/tests/operators/math/argmax/argmax_u32_test.cairo index 83821921c..60761ebbe 100644 --- a/src/tests/operators/math/argmax/argmax_u32_test.cairo +++ b/src/tests/operators/math/argmax/argmax_u32_test.cairo @@ -101,7 +101,7 @@ mod tensor2x2_argmax_u32 { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_u32::{u32_tensor_1x3_helper,u32_tensor_2x2_helper, u32_tensor_2x2x2_helper}; + use orion::tests::helpers::tensor::u32::{u32_tensor_1x3_helper,u32_tensor_2x2_helper, u32_tensor_2x2x2_helper}; #[test] #[available_gas(20000000)] @@ -187,7 +187,7 @@ mod tensor2x2x2_argmax_u32 { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_u32::{u32_tensor_1x3_helper,u32_tensor_2x2_helper, u32_tensor_2x2x2_helper}; + use orion::tests::helpers::tensor::u32::{u32_tensor_1x3_helper,u32_tensor_2x2_helper, u32_tensor_2x2x2_helper}; #[test] #[available_gas(20000000)] diff --git a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo index 49eb88e2f..32f66f0eb 100644 --- a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo +++ b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo @@ -127,7 +127,7 @@ mod tensor2x2_argmin_fp { use orion::numbers::fixed_point::implementations::impl_16x16; use orion::operators::tensor::implementations::impl_tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_fp::fp16x16_helpers::{ + use orion::tests::helpers::tensor::fixed_point::fp16x16::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper }; @@ -229,7 +229,7 @@ mod tensor2x2x2_argmin_fp { use orion::numbers::fixed_point::implementations::impl_16x16; use orion::operators::tensor::implementations::impl_tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_fp::fp16x16_helpers::{ + use orion::tests::helpers::tensor::fixed_point::fp16x16::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper }; diff --git a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo index fb15806d6..fbde77b97 100644 --- a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo +++ b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo @@ -127,7 +127,7 @@ mod tensor2x2_argmin_fp { use orion::numbers::fixed_point::implementations::impl_8x23; use orion::operators::tensor::implementations::impl_tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_fp::fp8x23_helpers::{ + use orion::tests::helpers::tensor::fixed_point::fp8x23::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper }; @@ -229,7 +229,7 @@ mod tensor2x2x2_argmin_fp { use orion::numbers::fixed_point::implementations::impl_8x23; use orion::operators::tensor::implementations::impl_tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_fp::fp8x23_helpers::{ + use orion::tests::helpers::tensor::fixed_point::fp8x23::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper }; diff --git a/src/tests/operators/math/argmin/argmin_i32_test.cairo b/src/tests/operators/math/argmin/argmin_i32_test.cairo index e678c2321..16edbf02f 100644 --- a/src/tests/operators/math/argmin/argmin_i32_test.cairo +++ b/src/tests/operators/math/argmin/argmin_i32_test.cairo @@ -125,7 +125,7 @@ mod tensor2x2_argmin_i32 { use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_i32::{i32_tensor_1x3_helper,i32_tensor_2x2_helper, i32_tensor_2x2x2_helper}; + use orion::tests::helpers::tensor::i32::{i32_tensor_1x3_helper,i32_tensor_2x2_helper, i32_tensor_2x2x2_helper}; #[test] #[available_gas(20000000)] @@ -224,7 +224,7 @@ mod tensor2x2x2_argmin_i32 { use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_i32::{i32_tensor_1x3_helper,i32_tensor_2x2_helper, i32_tensor_2x2x2_helper}; + use orion::tests::helpers::tensor::i32::{i32_tensor_1x3_helper,i32_tensor_2x2_helper, i32_tensor_2x2x2_helper}; #[test] #[available_gas(20000000)] diff --git a/src/tests/operators/math/argmin/argmin_u32_test.cairo b/src/tests/operators/math/argmin/argmin_u32_test.cairo index 5e3341ff4..9ae02f42d 100644 --- a/src/tests/operators/math/argmin/argmin_u32_test.cairo +++ b/src/tests/operators/math/argmin/argmin_u32_test.cairo @@ -110,7 +110,7 @@ mod tensor2x2_argmin_u32 { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_u32::{u32_tensor_1x3_helper,u32_tensor_2x2_helper, u32_tensor_2x2x2_helper}; + use orion::tests::helpers::tensor::u32::{u32_tensor_1x3_helper,u32_tensor_2x2_helper, u32_tensor_2x2x2_helper}; #[test] #[available_gas(20000000)] @@ -208,7 +208,7 @@ mod tensor2x2x2_argmin_u32 { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - use orion::tests::operators::tensor::helpers::helpers_u32::{u32_tensor_1x3_helper,u32_tensor_2x2_helper, u32_tensor_2x2x2_helper}; + use orion::tests::helpers::tensor::u32::{u32_tensor_1x3_helper,u32_tensor_2x2_helper, u32_tensor_2x2x2_helper}; #[test] #[available_gas(20000000)] diff --git a/src/tests/operators/math/exp_test.cairo b/src/tests/operators/math/exp_test.cairo index b058631dd..46925ec2a 100644 --- a/src/tests/operators/math/exp_test.cairo +++ b/src/tests/operators/math/exp_test.cairo @@ -3,7 +3,7 @@ use traits::Into; use orion::operators::tensor::implementations::impl_tensor_i32; use orion::operators::tensor::core::{TensorTrait, }; -use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2_helper; +use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; use orion::numbers::fixed_point::implementations::impl_16x16; #[test] diff --git a/src/tests/operators/math/ln_test.cairo b/src/tests/operators/math/ln_test.cairo index a433c6909..9dea5619e 100644 --- a/src/tests/operators/math/ln_test.cairo +++ b/src/tests/operators/math/ln_test.cairo @@ -4,7 +4,7 @@ use array::ArrayTrait; use orion::operators::tensor::implementations::impl_tensor_i32; -use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2_helper; +use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; use orion::numbers::fixed_point::implementations::impl_16x16; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; diff --git a/src/tests/operators/math/max_test.cairo b/src/tests/operators/math/max_test.cairo index f25b085ed..592d1ff0b 100644 --- a/src/tests/operators/math/max_test.cairo +++ b/src/tests/operators/math/max_test.cairo @@ -1,6 +1,6 @@ use orion::operators::tensor::implementations::impl_tensor_i32; use orion::operators::tensor::core::TensorTrait; -use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2x2_helper; +use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; #[test] #[available_gas(2000000)] diff --git a/src/tests/operators/math/min_test.cairo b/src/tests/operators/math/min_test.cairo index 6790676e2..e321f9857 100644 --- a/src/tests/operators/math/min_test.cairo +++ b/src/tests/operators/math/min_test.cairo @@ -1,6 +1,6 @@ use orion::operators::tensor::implementations::impl_tensor_i32; use orion::operators::tensor::core::TensorTrait; -use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2x2_helper; +use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; #[test] #[available_gas(2000000)] diff --git a/src/tests/operators/math/reduce_sum_test.cairo b/src/tests/operators/math/reduce_sum_test.cairo index c163fed7b..b8dc23ebc 100644 --- a/src/tests/operators/math/reduce_sum_test.cairo +++ b/src/tests/operators/math/reduce_sum_test.cairo @@ -3,9 +3,7 @@ use traits::Into; use orion::operators::tensor::implementations::impl_tensor_i32; use orion::operators::tensor::core::TensorTrait; -use orion::tests::operators::tensor::helpers::helpers_i32::{ - i32_tensor_2x2x2_helper, i32_tensor_1x3_helper -}; +use orion::tests::helpers::tensor::i32::{i32_tensor_2x2x2_helper, i32_tensor_1x3_helper}; use debug::PrintTrait; diff --git a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo index 7510c7278..a62dc7ed5 100644 --- a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo +++ b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo @@ -1,7 +1,7 @@ use array::SpanTrait; use traits::Into; -use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2_helper; +use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::operators::tensor::implementations::impl_tensor_i32; use orion::numbers::fixed_point::core::FixedImpl; diff --git a/src/tests/operators/nn/functional/softmax/softmax_test.cairo b/src/tests/operators/nn/functional/softmax/softmax_test.cairo index 3716cee06..910745aab 100644 --- a/src/tests/operators/nn/functional/softmax/softmax_test.cairo +++ b/src/tests/operators/nn/functional/softmax/softmax_test.cairo @@ -1,7 +1,7 @@ use array::SpanTrait; use traits::Into; -use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2_helper; +use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::operators::tensor::implementations::impl_tensor_i32; use orion::numbers::fixed_point::core::FixedImpl; diff --git a/src/tests/operators/tensor.cairo b/src/tests/operators/tensor.cairo index 86a6bba77..0143edfc3 100644 --- a/src/tests/operators/tensor.cairo +++ b/src/tests/operators/tensor.cairo @@ -1,2 +1 @@ -mod tensor_test; -mod helpers; +mod tensor_test; \ No newline at end of file diff --git a/src/tests/operators/tensor/helpers.cairo b/src/tests/operators/tensor/helpers.cairo deleted file mode 100644 index 8284650f9..000000000 --- a/src/tests/operators/tensor/helpers.cairo +++ /dev/null @@ -1,3 +0,0 @@ -mod helpers_u32; -mod helpers_i32; -mod helpers_fp; \ No newline at end of file diff --git a/src/tests/operators/tensor/helpers/helpers_fp.cairo b/src/tests/operators/tensor/helpers/helpers_fp.cairo deleted file mode 100644 index f80e66701..000000000 --- a/src/tests/operators/tensor/helpers/helpers_fp.cairo +++ /dev/null @@ -1,2 +0,0 @@ -mod fp8x23_helpers; -mod fp16x16_helpers; \ No newline at end of file diff --git a/src/tests/operators/tensor/tensor_test.cairo b/src/tests/operators/tensor/tensor_test.cairo index 3e4390b4e..d1787cf33 100644 --- a/src/tests/operators/tensor/tensor_test.cairo +++ b/src/tests/operators/tensor/tensor_test.cairo @@ -5,7 +5,7 @@ use traits::Into; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; use orion::operators::tensor::core::{TensorTrait, ExtraParams, ravel_index, unravel_index}; -use orion::tests::operators::tensor::helpers::helpers_i32::{ +use orion::tests::helpers::tensor::i32::{ i32_tensor_2x2_helper, i32_tensor_3x2_helper, i32_tensor_2x3_helper, i32_tensor_2x2x2_helper, i32_tensor_3x2x2_helper }; From c4c6e10752f53fbc80206f7f5eff2bebb42ca0f3 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Sun, 18 Jun 2023 19:52:12 +0300 Subject: [PATCH 006/126] add negative tensor helpers --- .../helpers/tensor/fixed_point/fp16x16.cairo | 161 +++++++++++++++++ .../helpers/tensor/fixed_point/fp8x23.cairo | 163 ++++++++++++++++++ src/tests/helpers/tensor/i32.cairo | 161 +++++++++++++++++ .../operators/math/abs/abs_fp_test.cairo | 1 - .../operators/math/abs/abs_u32_test.cairo | 2 - .../argmax_fp_test/argmax_fp16x16_test.cairo | 9 +- .../argmax_fp_test/argmax_fp8x23_test.cairo | 9 +- .../math/argmax/argmax_i32_test.cairo | 9 +- .../math/argmax/argmax_u32_test.cairo | 9 +- .../argmin_fp_test/argmin_fp16x16_test.cairo | 9 +- .../argmin_fp_test/argmin_fp8x23_test.cairo | 9 +- .../math/argmin/argmin_i32_test.cairo | 9 +- .../math/argmin/argmin_u32_test.cairo | 9 +- 13 files changed, 509 insertions(+), 51 deletions(-) diff --git a/src/tests/helpers/tensor/fixed_point/fp16x16.cairo b/src/tests/helpers/tensor/fixed_point/fp16x16.cairo index b473de728..446a3b59b 100644 --- a/src/tests/helpers/tensor/fixed_point/fp16x16.cairo +++ b/src/tests/helpers/tensor/fixed_point/fp16x16.cairo @@ -21,6 +21,21 @@ fn fp_tensor_1x3_helper() -> Tensor { return tensor; } +fn fp_tensor_1x3_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + // 2D fn fp_tensor_2x2_helper() -> Tensor { @@ -40,6 +55,23 @@ fn fp_tensor_2x2_helper() -> Tensor { return tensor; } +fn fp_tensor_2x2_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new(3, true)); + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn fp_tensor_3x3_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(3); @@ -63,6 +95,29 @@ fn fp_tensor_3x3_helper() -> Tensor { return tensor; } +fn fp_tensor_3x3_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new(3, true)); + data.append(FixedTrait::new(4, true)); + data.append(FixedTrait::new(5, true)); + data.append(FixedTrait::new(6, true)); + data.append(FixedTrait::new(7, true)); + data.append(FixedTrait::new(8, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn fp_tensor_3x2_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(3); @@ -83,6 +138,26 @@ fn fp_tensor_3x2_helper() -> Tensor { return tensor; } +fn fp_tensor_3x2_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new(3, true)); + data.append(FixedTrait::new(4, true)); + data.append(FixedTrait::new(5, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn fp_tensor_3x1_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(3); @@ -100,6 +175,23 @@ fn fp_tensor_3x1_helper() -> Tensor { return tensor; } +fn fp_tensor_3x1_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(1); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn fp_tensor_2x3_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -120,6 +212,26 @@ fn fp_tensor_2x3_helper() -> Tensor { return tensor; } +fn fp_tensor_2x3_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(3); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new(3, true)); + data.append(FixedTrait::new(4, true)); + data.append(FixedTrait::new(5, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + // 3D fn fp_tensor_2x2x2_helper() -> Tensor { @@ -145,6 +257,29 @@ fn fp_tensor_2x2x2_helper() -> Tensor { return tensor; } +fn fp_tensor_2x2x2_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new(3, true)); + data.append(FixedTrait::new(4, true)); + data.append(FixedTrait::new(5, true)); + data.append(FixedTrait::new(6, true)); + data.append(FixedTrait::new(7, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn fp_tensor_3x2x2_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(3); @@ -172,3 +307,29 @@ fn fp_tensor_3x2x2_helper() -> Tensor { return tensor; } +fn fp_tensor_3x2x2_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new(3, true)); + data.append(FixedTrait::new(4, true)); + data.append(FixedTrait::new(5, true)); + data.append(FixedTrait::new(6, true)); + data.append(FixedTrait::new(7, true)); + data.append(FixedTrait::new(8, true)); + data.append(FixedTrait::new(9, true)); + data.append(FixedTrait::new(10, true)); + data.append(FixedTrait::new(11, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} \ No newline at end of file diff --git a/src/tests/helpers/tensor/fixed_point/fp8x23.cairo b/src/tests/helpers/tensor/fixed_point/fp8x23.cairo index 03108ce41..f2c27a8de 100644 --- a/src/tests/helpers/tensor/fixed_point/fp8x23.cairo +++ b/src/tests/helpers/tensor/fixed_point/fp8x23.cairo @@ -21,6 +21,21 @@ fn fp_tensor_1x3_helper() -> Tensor { return tensor; } +fn fp_tensor_1x3_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + // 2D fn fp_tensor_2x2_helper() -> Tensor { @@ -40,6 +55,23 @@ fn fp_tensor_2x2_helper() -> Tensor { return tensor; } +fn fp_tensor_2x2_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new(3, true)); + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn fp_tensor_3x3_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(3); @@ -63,6 +95,29 @@ fn fp_tensor_3x3_helper() -> Tensor { return tensor; } +fn fp_tensor_3x3_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new(3, true)); + data.append(FixedTrait::new(4, true)); + data.append(FixedTrait::new(5, true)); + data.append(FixedTrait::new(6, true)); + data.append(FixedTrait::new(7, true)); + data.append(FixedTrait::new(8, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn fp_tensor_3x2_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(3); @@ -83,6 +138,26 @@ fn fp_tensor_3x2_helper() -> Tensor { return tensor; } +fn fp_tensor_3x2_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new(3, true)); + data.append(FixedTrait::new(4, true)); + data.append(FixedTrait::new(5, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn fp_tensor_3x1_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(3); @@ -100,6 +175,23 @@ fn fp_tensor_3x1_helper() -> Tensor { return tensor; } +fn fp_tensor_3x1_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(1); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn fp_tensor_2x3_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -120,6 +212,26 @@ fn fp_tensor_2x3_helper() -> Tensor { return tensor; } +fn fp_tensor_2x3_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(3); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new(3, true)); + data.append(FixedTrait::new(4, true)); + data.append(FixedTrait::new(5, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + // 3D fn fp_tensor_2x2x2_helper() -> Tensor { @@ -145,6 +257,29 @@ fn fp_tensor_2x2x2_helper() -> Tensor { return tensor; } +fn fp_tensor_2x2x2_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new(3, true)); + data.append(FixedTrait::new(4, true)); + data.append(FixedTrait::new(5, true)); + data.append(FixedTrait::new(6, true)); + data.append(FixedTrait::new(7, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn fp_tensor_3x2x2_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(3); @@ -172,3 +307,31 @@ fn fp_tensor_3x2x2_helper() -> Tensor { return tensor; } +fn fp_tensor_3x2x2_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new(0, false)); + data.append(FixedTrait::new(1, true)); + data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new(3, true)); + data.append(FixedTrait::new(4, true)); + data.append(FixedTrait::new(5, true)); + data.append(FixedTrait::new(6, true)); + data.append(FixedTrait::new(7, true)); + data.append(FixedTrait::new(8, true)); + data.append(FixedTrait::new(9, true)); + data.append(FixedTrait::new(10, true)); + data.append(FixedTrait::new(11, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + + diff --git a/src/tests/helpers/tensor/i32.cairo b/src/tests/helpers/tensor/i32.cairo index 9c3fb3d76..d9bd95da3 100644 --- a/src/tests/helpers/tensor/i32.cairo +++ b/src/tests/helpers/tensor/i32.cairo @@ -22,6 +22,21 @@ fn i32_tensor_1x3_helper() -> Tensor { return tensor; } +fn i32_tensor_1x3_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0_u32, false)); + data.append(IntegerTrait::new(1_u32, true)); + data.append(IntegerTrait::new(2_u32, true)); + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + // 2D fn i32_tensor_2x2_helper() -> Tensor { @@ -41,6 +56,23 @@ fn i32_tensor_2x2_helper() -> Tensor { return tensor; } +fn i32_tensor_2x2_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0_u32, false)); + data.append(IntegerTrait::new(1_u32, true)); + data.append(IntegerTrait::new(2_u32, true)); + data.append(IntegerTrait::new(3_u32, true)); + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn i32_tensor_3x3_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(3); @@ -64,6 +96,29 @@ fn i32_tensor_3x3_helper() -> Tensor { return tensor; } +fn i32_tensor_3x3_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0_u32, false)); + data.append(IntegerTrait::new(1_u32, true)); + data.append(IntegerTrait::new(2_u32, true)); + data.append(IntegerTrait::new(3_u32, true)); + data.append(IntegerTrait::new(4_u32, true)); + data.append(IntegerTrait::new(5_u32, true)); + data.append(IntegerTrait::new(6_u32, true)); + data.append(IntegerTrait::new(7_u32, true)); + data.append(IntegerTrait::new(8_u32, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn i32_tensor_3x2_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(3); @@ -84,6 +139,26 @@ fn i32_tensor_3x2_helper() -> Tensor { return tensor; } +fn i32_tensor_3x2_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0_u32, false)); + data.append(IntegerTrait::new(1_u32, true)); + data.append(IntegerTrait::new(2_u32, true)); + data.append(IntegerTrait::new(3_u32, true)); + data.append(IntegerTrait::new(4_u32, true)); + data.append(IntegerTrait::new(5_u32, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn i32_tensor_3x1_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(3); @@ -101,6 +176,23 @@ fn i32_tensor_3x1_helper() -> Tensor { return tensor; } +fn i32_tensor_3x1_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(1); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0_u32, false)); + data.append(IntegerTrait::new(1_u32, true)); + data.append(IntegerTrait::new(2_u32, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn i32_tensor_2x3_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -121,6 +213,26 @@ fn i32_tensor_2x3_helper() -> Tensor { return tensor; } +fn i32_tensor_2x3_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(3); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0_u32, false)); + data.append(IntegerTrait::new(1_u32, true)); + data.append(IntegerTrait::new(2_u32, true)); + data.append(IntegerTrait::new(3_u32, true)); + data.append(IntegerTrait::new(4_u32, true)); + data.append(IntegerTrait::new(5_u32, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + // 3D fn i32_tensor_2x2x2_helper() -> Tensor { @@ -146,6 +258,29 @@ fn i32_tensor_2x2x2_helper() -> Tensor { return tensor; } +fn i32_tensor_2x2x2_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0_u32, false)); + data.append(IntegerTrait::new(1_u32, true)); + data.append(IntegerTrait::new(2_u32, true)); + data.append(IntegerTrait::new(3_u32, true)); + data.append(IntegerTrait::new(4_u32, true)); + data.append(IntegerTrait::new(5_u32, true)); + data.append(IntegerTrait::new(6_u32, true)); + data.append(IntegerTrait::new(7_u32, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} + fn i32_tensor_3x2x2_helper() -> Tensor { let mut sizes = ArrayTrait::new(); sizes.append(3); @@ -173,3 +308,29 @@ fn i32_tensor_3x2x2_helper() -> Tensor { return tensor; } +fn i32_tensor_3x2x2_neg_helper() -> Tensor { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0_u32, false)); + data.append(IntegerTrait::new(1_u32, true)); + data.append(IntegerTrait::new(2_u32, true)); + data.append(IntegerTrait::new(3_u32, true)); + data.append(IntegerTrait::new(4_u32, true)); + data.append(IntegerTrait::new(5_u32, true)); + data.append(IntegerTrait::new(6_u32, true)); + data.append(IntegerTrait::new(7_u32, true)); + data.append(IntegerTrait::new(8_u32, true)); + data.append(IntegerTrait::new(9_u32, true)); + data.append(IntegerTrait::new(10_u32, true)); + data.append(IntegerTrait::new(11_u32, true)); + + let extra = Option::::None(()); + + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + return tensor; +} diff --git a/src/tests/operators/math/abs/abs_fp_test.cairo b/src/tests/operators/math/abs/abs_fp_test.cairo index 8f5b7804d..8ae1251bb 100644 --- a/src/tests/operators/math/abs/abs_fp_test.cairo +++ b/src/tests/operators/math/abs/abs_fp_test.cairo @@ -7,7 +7,6 @@ use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23; - #[test] #[available_gas(2000000)] fn tensor_abs_fp() { diff --git a/src/tests/operators/math/abs/abs_u32_test.cairo b/src/tests/operators/math/abs/abs_u32_test.cairo index cbfa65ccd..c314f9fe9 100644 --- a/src/tests/operators/math/abs/abs_u32_test.cairo +++ b/src/tests/operators/math/abs/abs_u32_test.cairo @@ -3,8 +3,6 @@ use array::ArrayTrait; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - - #[test] #[available_gas(2000000)] fn tensor_abs_u32() { diff --git a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo index df656a21c..918c81c19 100644 --- a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo +++ b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D_argmax_fp { +mod tensor1D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_16x16; @@ -110,10 +110,8 @@ mod tensor1D_argmax_fp { } } - - #[cfg(test)] -mod tensor2x2_argmax_fp { +mod tensor2D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_16x16; @@ -202,9 +200,8 @@ mod tensor2x2_argmax_fp { } } - #[cfg(test)] -mod tensor2x2x2_argmax_fp { +mod tensor3D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_16x16; diff --git a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo index 6186a02c3..15026a3be 100644 --- a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo +++ b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D_argmax_fp { +mod tensor1D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_8x23; @@ -110,10 +110,8 @@ mod tensor1D_argmax_fp { } } - - #[cfg(test)] -mod tensor2x2_argmax_fp { +mod tensor2D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_8x23; @@ -202,9 +200,8 @@ mod tensor2x2_argmax_fp { } } - #[cfg(test)] -mod tensor2x2x2_argmax_fp { +mod tensor3D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_8x23; diff --git a/src/tests/operators/math/argmax/argmax_i32_test.cairo b/src/tests/operators/math/argmax/argmax_i32_test.cairo index 5d082308e..28ba322cb 100644 --- a/src/tests/operators/math/argmax/argmax_i32_test.cairo +++ b/src/tests/operators/math/argmax/argmax_i32_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D_argmax_i32 { +mod tensor1D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; @@ -108,10 +108,8 @@ mod tensor1D_argmax_i32 { } } - - #[cfg(test)] -mod tensor2x2_argmax_i32 { +mod tensor2D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; @@ -196,9 +194,8 @@ mod tensor2x2_argmax_i32 { } } - #[cfg(test)] -mod tensor2x2x2_argmax_i32 { +mod tensor3D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; diff --git a/src/tests/operators/math/argmax/argmax_u32_test.cairo b/src/tests/operators/math/argmax/argmax_u32_test.cairo index 60761ebbe..7728a140a 100644 --- a/src/tests/operators/math/argmax/argmax_u32_test.cairo +++ b/src/tests/operators/math/argmax/argmax_u32_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D_argmax_u32 { +mod tensor1D { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -94,10 +94,8 @@ mod tensor1D_argmax_u32 { } } - - #[cfg(test)] -mod tensor2x2_argmax_u32 { +mod tensor2D { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -181,9 +179,8 @@ mod tensor2x2_argmax_u32 { } } - #[cfg(test)] -mod tensor2x2x2_argmax_u32 { +mod tensor3D { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; diff --git a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo index 32f66f0eb..6abd8b3af 100644 --- a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo +++ b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D_argmin_fp { +mod tensor1D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_16x16; @@ -118,10 +118,8 @@ mod tensor1D_argmin_fp { } } - - #[cfg(test)] -mod tensor2x2_argmin_fp { +mod tensor2D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_16x16; @@ -221,9 +219,8 @@ mod tensor2x2_argmin_fp { } } - #[cfg(test)] -mod tensor2x2x2_argmin_fp { +mod tensor3D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_16x16; diff --git a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo index fbde77b97..2677a83fb 100644 --- a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo +++ b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D_argmin_fp { +mod tensor1D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_8x23; @@ -118,10 +118,8 @@ mod tensor1D_argmin_fp { } } - - #[cfg(test)] -mod tensor2x2_argmin_fp { +mod tensor2D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_8x23; @@ -221,9 +219,8 @@ mod tensor2x2_argmin_fp { } } - #[cfg(test)] -mod tensor2x2x2_argmin_fp { +mod tensor3D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_8x23; diff --git a/src/tests/operators/math/argmin/argmin_i32_test.cairo b/src/tests/operators/math/argmin/argmin_i32_test.cairo index 16edbf02f..003d85555 100644 --- a/src/tests/operators/math/argmin/argmin_i32_test.cairo +++ b/src/tests/operators/math/argmin/argmin_i32_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D_argmin_i32 { +mod tensor1D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; @@ -117,10 +117,8 @@ mod tensor1D_argmin_i32 { } } - - #[cfg(test)] -mod tensor2x2_argmin_i32 { +mod tensor2D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; @@ -217,9 +215,8 @@ mod tensor2x2_argmin_i32 { } } - #[cfg(test)] -mod tensor2x2x2_argmin_i32 { +mod tensor3D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; diff --git a/src/tests/operators/math/argmin/argmin_u32_test.cairo b/src/tests/operators/math/argmin/argmin_u32_test.cairo index 9ae02f42d..ff024cf1b 100644 --- a/src/tests/operators/math/argmin/argmin_u32_test.cairo +++ b/src/tests/operators/math/argmin/argmin_u32_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D_argmin_u32 { +mod tensor1D { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -103,10 +103,8 @@ mod tensor1D_argmin_u32 { } } - - #[cfg(test)] -mod tensor2x2_argmin_u32 { +mod tensor2D { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -202,9 +200,8 @@ mod tensor2x2_argmin_u32 { } } - #[cfg(test)] -mod tensor2x2x2_argmin_u32 { +mod tensor3D { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; From ceb6e316e9cbb5358226087430fb608053c1940f Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Mon, 19 Jun 2023 11:44:20 +0300 Subject: [PATCH 007/126] refactor matmul tests --- .../helpers/tensor/fixed_point/fp16x16.cairo | 204 ++++++------- .../helpers/tensor/fixed_point/fp8x23.cairo | 279 +++++++++--------- src/tests/operators/linalg.cairo | 2 +- src/tests/operators/linalg/matmul.cairo | 3 + .../linalg/matmul/matmul_fp_test.cairo | 2 + .../matmul_fp_test/matmul_fp16x16_test.cairo | 71 +++++ .../matmul_fp_test/matmul_fp8x23_test.cairo | 71 +++++ .../matmul_i32_test.cairo} | 12 +- .../linalg/matmul/matmul_u32_test.cairo | 68 +++++ 9 files changed, 467 insertions(+), 245 deletions(-) create mode 100644 src/tests/operators/linalg/matmul.cairo create mode 100644 src/tests/operators/linalg/matmul/matmul_fp_test.cairo create mode 100644 src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp16x16_test.cairo create mode 100644 src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo rename src/tests/operators/linalg/{matmul_test.cairo => matmul/matmul_i32_test.cairo} (93%) create mode 100644 src/tests/operators/linalg/matmul/matmul_u32_test.cairo diff --git a/src/tests/helpers/tensor/fixed_point/fp16x16.cairo b/src/tests/helpers/tensor/fixed_point/fp16x16.cairo index 446a3b59b..279f6df41 100644 --- a/src/tests/helpers/tensor/fixed_point/fp16x16.cairo +++ b/src/tests/helpers/tensor/fixed_point/fp16x16.cairo @@ -11,9 +11,9 @@ fn fp_tensor_1x3_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -26,9 +26,9 @@ fn fp_tensor_1x3_neg_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -44,10 +44,10 @@ fn fp_tensor_2x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); - data.append(FixedTrait::new(3, false)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -61,10 +61,10 @@ fn fp_tensor_2x2_neg_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); - data.append(FixedTrait::new(3, true)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); + data.append(FixedTrait::new_unscaled(3, true)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -78,15 +78,15 @@ fn fp_tensor_3x3_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); - data.append(FixedTrait::new(3, false)); - data.append(FixedTrait::new(4, false)); - data.append(FixedTrait::new(5, false)); - data.append(FixedTrait::new(6, false)); - data.append(FixedTrait::new(7, false)); - data.append(FixedTrait::new(8, false)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(4, false)); + data.append(FixedTrait::new_unscaled(5, false)); + data.append(FixedTrait::new_unscaled(6, false)); + data.append(FixedTrait::new_unscaled(7, false)); + data.append(FixedTrait::new_unscaled(8, false)); let extra = Option::::None(()); @@ -101,15 +101,15 @@ fn fp_tensor_3x3_neg_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); - data.append(FixedTrait::new(3, true)); - data.append(FixedTrait::new(4, true)); - data.append(FixedTrait::new(5, true)); - data.append(FixedTrait::new(6, true)); - data.append(FixedTrait::new(7, true)); - data.append(FixedTrait::new(8, true)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); + data.append(FixedTrait::new_unscaled(3, true)); + data.append(FixedTrait::new_unscaled(4, true)); + data.append(FixedTrait::new_unscaled(5, true)); + data.append(FixedTrait::new_unscaled(6, true)); + data.append(FixedTrait::new_unscaled(7, true)); + data.append(FixedTrait::new_unscaled(8, true)); let extra = Option::::None(()); @@ -124,12 +124,12 @@ fn fp_tensor_3x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); - data.append(FixedTrait::new(3, false)); - data.append(FixedTrait::new(4, false)); - data.append(FixedTrait::new(5, false)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(4, false)); + data.append(FixedTrait::new_unscaled(5, false)); let extra = Option::::None(()); @@ -144,12 +144,12 @@ fn fp_tensor_3x2_neg_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); - data.append(FixedTrait::new(3, true)); - data.append(FixedTrait::new(4, true)); - data.append(FixedTrait::new(5, true)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); + data.append(FixedTrait::new_unscaled(3, true)); + data.append(FixedTrait::new_unscaled(4, true)); + data.append(FixedTrait::new_unscaled(5, true)); let extra = Option::::None(()); @@ -164,9 +164,9 @@ fn fp_tensor_3x1_helper() -> Tensor { sizes.append(1); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); let extra = Option::::None(()); @@ -181,9 +181,9 @@ fn fp_tensor_3x1_neg_helper() -> Tensor { sizes.append(1); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); let extra = Option::::None(()); @@ -198,12 +198,12 @@ fn fp_tensor_2x3_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); - data.append(FixedTrait::new(3, false)); - data.append(FixedTrait::new(4, false)); - data.append(FixedTrait::new(5, false)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(4, false)); + data.append(FixedTrait::new_unscaled(5, false)); let extra = Option::::None(()); @@ -218,12 +218,12 @@ fn fp_tensor_2x3_neg_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); - data.append(FixedTrait::new(3, true)); - data.append(FixedTrait::new(4, true)); - data.append(FixedTrait::new(5, true)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); + data.append(FixedTrait::new_unscaled(3, true)); + data.append(FixedTrait::new_unscaled(4, true)); + data.append(FixedTrait::new_unscaled(5, true)); let extra = Option::::None(()); @@ -241,14 +241,14 @@ fn fp_tensor_2x2x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); - data.append(FixedTrait::new(3, false)); - data.append(FixedTrait::new(4, false)); - data.append(FixedTrait::new(5, false)); - data.append(FixedTrait::new(6, false)); - data.append(FixedTrait::new(7, false)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(4, false)); + data.append(FixedTrait::new_unscaled(5, false)); + data.append(FixedTrait::new_unscaled(6, false)); + data.append(FixedTrait::new_unscaled(7, false)); let extra = Option::::None(()); @@ -264,14 +264,14 @@ fn fp_tensor_2x2x2_neg_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); - data.append(FixedTrait::new(3, true)); - data.append(FixedTrait::new(4, true)); - data.append(FixedTrait::new(5, true)); - data.append(FixedTrait::new(6, true)); - data.append(FixedTrait::new(7, true)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); + data.append(FixedTrait::new_unscaled(3, true)); + data.append(FixedTrait::new_unscaled(4, true)); + data.append(FixedTrait::new_unscaled(5, true)); + data.append(FixedTrait::new_unscaled(6, true)); + data.append(FixedTrait::new_unscaled(7, true)); let extra = Option::::None(()); @@ -287,18 +287,18 @@ fn fp_tensor_3x2x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); - data.append(FixedTrait::new(3, false)); - data.append(FixedTrait::new(4, false)); - data.append(FixedTrait::new(5, false)); - data.append(FixedTrait::new(6, false)); - data.append(FixedTrait::new(7, false)); - data.append(FixedTrait::new(8, false)); - data.append(FixedTrait::new(9, false)); - data.append(FixedTrait::new(10, false)); - data.append(FixedTrait::new(11, false)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(4, false)); + data.append(FixedTrait::new_unscaled(5, false)); + data.append(FixedTrait::new_unscaled(6, false)); + data.append(FixedTrait::new_unscaled(7, false)); + data.append(FixedTrait::new_unscaled(8, false)); + data.append(FixedTrait::new_unscaled(9, false)); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(11, false)); let extra = Option::::None(()); @@ -314,18 +314,18 @@ fn fp_tensor_3x2x2_neg_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); - data.append(FixedTrait::new(3, true)); - data.append(FixedTrait::new(4, true)); - data.append(FixedTrait::new(5, true)); - data.append(FixedTrait::new(6, true)); - data.append(FixedTrait::new(7, true)); - data.append(FixedTrait::new(8, true)); - data.append(FixedTrait::new(9, true)); - data.append(FixedTrait::new(10, true)); - data.append(FixedTrait::new(11, true)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); + data.append(FixedTrait::new_unscaled(3, true)); + data.append(FixedTrait::new_unscaled(4, true)); + data.append(FixedTrait::new_unscaled(5, true)); + data.append(FixedTrait::new_unscaled(6, true)); + data.append(FixedTrait::new_unscaled(7, true)); + data.append(FixedTrait::new_unscaled(8, true)); + data.append(FixedTrait::new_unscaled(9, true)); + data.append(FixedTrait::new_unscaled(10, true)); + data.append(FixedTrait::new_unscaled(11, true)); let extra = Option::::None(()); diff --git a/src/tests/helpers/tensor/fixed_point/fp8x23.cairo b/src/tests/helpers/tensor/fixed_point/fp8x23.cairo index f2c27a8de..2b978cd46 100644 --- a/src/tests/helpers/tensor/fixed_point/fp8x23.cairo +++ b/src/tests/helpers/tensor/fixed_point/fp8x23.cairo @@ -1,6 +1,6 @@ use array::ArrayTrait; use array::SpanTrait; -use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23; use orion::operators::tensor::implementations::impl_tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -11,12 +11,12 @@ fn fp_tensor_1x3_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); - let extra = Option::::None(()); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -26,12 +26,12 @@ fn fp_tensor_1x3_neg_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); - let extra = Option::::None(()); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -44,13 +44,13 @@ fn fp_tensor_2x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); - data.append(FixedTrait::new(3, false)); - let extra = Option::::None(()); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -61,13 +61,13 @@ fn fp_tensor_2x2_neg_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); - data.append(FixedTrait::new(3, true)); - let extra = Option::::None(()); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); + data.append(FixedTrait::new_unscaled(3, true)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -78,19 +78,19 @@ fn fp_tensor_3x3_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); - data.append(FixedTrait::new(3, false)); - data.append(FixedTrait::new(4, false)); - data.append(FixedTrait::new(5, false)); - data.append(FixedTrait::new(6, false)); - data.append(FixedTrait::new(7, false)); - data.append(FixedTrait::new(8, false)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(4, false)); + data.append(FixedTrait::new_unscaled(5, false)); + data.append(FixedTrait::new_unscaled(6, false)); + data.append(FixedTrait::new_unscaled(7, false)); + data.append(FixedTrait::new_unscaled(8, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -101,19 +101,19 @@ fn fp_tensor_3x3_neg_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); - data.append(FixedTrait::new(3, true)); - data.append(FixedTrait::new(4, true)); - data.append(FixedTrait::new(5, true)); - data.append(FixedTrait::new(6, true)); - data.append(FixedTrait::new(7, true)); - data.append(FixedTrait::new(8, true)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); + data.append(FixedTrait::new_unscaled(3, true)); + data.append(FixedTrait::new_unscaled(4, true)); + data.append(FixedTrait::new_unscaled(5, true)); + data.append(FixedTrait::new_unscaled(6, true)); + data.append(FixedTrait::new_unscaled(7, true)); + data.append(FixedTrait::new_unscaled(8, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -124,16 +124,16 @@ fn fp_tensor_3x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); - data.append(FixedTrait::new(3, false)); - data.append(FixedTrait::new(4, false)); - data.append(FixedTrait::new(5, false)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(4, false)); + data.append(FixedTrait::new_unscaled(5, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -144,16 +144,16 @@ fn fp_tensor_3x2_neg_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); - data.append(FixedTrait::new(3, true)); - data.append(FixedTrait::new(4, true)); - data.append(FixedTrait::new(5, true)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); + data.append(FixedTrait::new_unscaled(3, true)); + data.append(FixedTrait::new_unscaled(4, true)); + data.append(FixedTrait::new_unscaled(5, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -164,13 +164,13 @@ fn fp_tensor_3x1_helper() -> Tensor { sizes.append(1); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -181,13 +181,13 @@ fn fp_tensor_3x1_neg_helper() -> Tensor { sizes.append(1); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -198,16 +198,16 @@ fn fp_tensor_2x3_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); - data.append(FixedTrait::new(3, false)); - data.append(FixedTrait::new(4, false)); - data.append(FixedTrait::new(5, false)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(4, false)); + data.append(FixedTrait::new_unscaled(5, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -218,16 +218,16 @@ fn fp_tensor_2x3_neg_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); - data.append(FixedTrait::new(3, true)); - data.append(FixedTrait::new(4, true)); - data.append(FixedTrait::new(5, true)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); + data.append(FixedTrait::new_unscaled(3, true)); + data.append(FixedTrait::new_unscaled(4, true)); + data.append(FixedTrait::new_unscaled(5, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -241,18 +241,18 @@ fn fp_tensor_2x2x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); - data.append(FixedTrait::new(3, false)); - data.append(FixedTrait::new(4, false)); - data.append(FixedTrait::new(5, false)); - data.append(FixedTrait::new(6, false)); - data.append(FixedTrait::new(7, false)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(4, false)); + data.append(FixedTrait::new_unscaled(5, false)); + data.append(FixedTrait::new_unscaled(6, false)); + data.append(FixedTrait::new_unscaled(7, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -264,18 +264,18 @@ fn fp_tensor_2x2x2_neg_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); - data.append(FixedTrait::new(3, true)); - data.append(FixedTrait::new(4, true)); - data.append(FixedTrait::new(5, true)); - data.append(FixedTrait::new(6, true)); - data.append(FixedTrait::new(7, true)); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); + data.append(FixedTrait::new_unscaled(3, true)); + data.append(FixedTrait::new_unscaled(4, true)); + data.append(FixedTrait::new_unscaled(5, true)); + data.append(FixedTrait::new_unscaled(6, true)); + data.append(FixedTrait::new_unscaled(7, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -287,22 +287,22 @@ fn fp_tensor_3x2x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, false)); - data.append(FixedTrait::new(2, false)); - data.append(FixedTrait::new(3, false)); - data.append(FixedTrait::new(4, false)); - data.append(FixedTrait::new(5, false)); - data.append(FixedTrait::new(6, false)); - data.append(FixedTrait::new(7, false)); - data.append(FixedTrait::new(8, false)); - data.append(FixedTrait::new(9, false)); - data.append(FixedTrait::new(10, false)); - data.append(FixedTrait::new(11, false)); - - let extra = Option::::None(()); - - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(4, false)); + data.append(FixedTrait::new_unscaled(5, false)); + data.append(FixedTrait::new_unscaled(6, false)); + data.append(FixedTrait::new_unscaled(7, false)); + data.append(FixedTrait::new_unscaled(8, false)); + data.append(FixedTrait::new_unscaled(9, false)); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(11, false)); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } @@ -314,24 +314,23 @@ fn fp_tensor_3x2x2_neg_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(FixedTrait::new(0, false)); - data.append(FixedTrait::new(1, true)); - data.append(FixedTrait::new(2, true)); - data.append(FixedTrait::new(3, true)); - data.append(FixedTrait::new(4, true)); - data.append(FixedTrait::new(5, true)); - data.append(FixedTrait::new(6, true)); - data.append(FixedTrait::new(7, true)); - data.append(FixedTrait::new(8, true)); - data.append(FixedTrait::new(9, true)); - data.append(FixedTrait::new(10, true)); - data.append(FixedTrait::new(11, true)); - - let extra = Option::::None(()); - - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, true)); + data.append(FixedTrait::new_unscaled(2, true)); + data.append(FixedTrait::new_unscaled(3, true)); + data.append(FixedTrait::new_unscaled(4, true)); + data.append(FixedTrait::new_unscaled(5, true)); + data.append(FixedTrait::new_unscaled(6, true)); + data.append(FixedTrait::new_unscaled(7, true)); + data.append(FixedTrait::new_unscaled(8, true)); + data.append(FixedTrait::new_unscaled(9, true)); + data.append(FixedTrait::new_unscaled(10, true)); + data.append(FixedTrait::new_unscaled(11, true)); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); return tensor; } - diff --git a/src/tests/operators/linalg.cairo b/src/tests/operators/linalg.cairo index f17c70bfd..2ecbda881 100644 --- a/src/tests/operators/linalg.cairo +++ b/src/tests/operators/linalg.cairo @@ -1 +1 @@ -mod matmul_test; +mod matmul; diff --git a/src/tests/operators/linalg/matmul.cairo b/src/tests/operators/linalg/matmul.cairo new file mode 100644 index 000000000..47bbb1ecb --- /dev/null +++ b/src/tests/operators/linalg/matmul.cairo @@ -0,0 +1,3 @@ +mod matmul_i32_test; +mod matmul_u32_test; +mod matmul_fp_test; \ No newline at end of file diff --git a/src/tests/operators/linalg/matmul/matmul_fp_test.cairo b/src/tests/operators/linalg/matmul/matmul_fp_test.cairo new file mode 100644 index 000000000..daa937c51 --- /dev/null +++ b/src/tests/operators/linalg/matmul/matmul_fp_test.cairo @@ -0,0 +1,2 @@ +mod matmul_fp8x23_test; +mod matmul_fp16x16_test; \ No newline at end of file diff --git a/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp16x16_test.cairo b/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp16x16_test.cairo new file mode 100644 index 000000000..fa6e7a843 --- /dev/null +++ b/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp16x16_test.cairo @@ -0,0 +1,71 @@ +use array::ArrayTrait; +use array::SpanTrait; +use traits::Into; + +use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::core::FixedTrait; +use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::core::TensorTrait; +use orion::tests::helpers::tensor::fixed_point::fp16x16::{ + fp_tensor_1x3_helper, fp_tensor_2x2_helper, fp_tensor_3x3_helper +}; + +#[test] +#[available_gas(200000000)] +fn matmul_1Dx1D() { + //! Case: Dot product (1D x 1D) + let tensor_1 = fp_tensor_1x3_helper(); + let tensor_2 = fp_tensor_1x3_helper(); + + let result = tensor_1.matmul(@tensor_2); + assert((*result.data[0]).into() == FixedTrait::from_unscaled_felt(5), 'result[0] = 5'); + assert(result.data.len() == 1, 'data len is 1'); + assert(result.shape.len() == 1, 'shape len is 1'); +} + +#[test] +#[available_gas(200000000)] +fn matmul_2Dx2D() { + //! Case: Matrix multiplication (2D x 2D) + let tensor_1 = fp_tensor_2x2_helper(); + let tensor_2 = fp_tensor_2x2_helper(); + + let result = tensor_1.matmul(@tensor_2); + assert((*result.data[0]).into() == FixedTrait::from_unscaled_felt(2), 'result[0] = 2'); + assert((*result.data[1]).into() == FixedTrait::from_unscaled_felt(3), 'result[1] = 3'); + assert((*result.data[2]).into() == FixedTrait::from_unscaled_felt(6), 'result[2] = 6'); + assert((*result.data[3]).into() == FixedTrait::from_unscaled_felt(11), 'result[3] = 11'); + assert(result.data.len() == 4, 'data len is 4'); + assert(result.shape.len() == 2, 'shape len is 2'); +} + +#[test] +#[available_gas(200000000)] +fn matmul_2Dx1D() { + //! Case: Matrix-Vector multiplication (2D x 1D) + let tensor_1 = fp_tensor_3x3_helper(); + let tensor_2 = fp_tensor_1x3_helper(); + + let result = tensor_1.matmul(@tensor_2); + assert((*result.data[0]).into() == FixedTrait::from_unscaled_felt(5), 'result[0] = 5'); + assert((*result.data[1]).into() == FixedTrait::from_unscaled_felt(14), 'result[1] = 14'); + assert((*result.data[2]).into() == FixedTrait::from_unscaled_felt(23), 'result[2] = 23'); + assert(result.data.len() == 3, 'data len is 3'); + assert(result.shape.len() == 1, 'shape len is 1'); +} + +#[test] +#[available_gas(200000000)] +fn matmul_1Dx2D() { + //! Case: Matrix-Vector multiplication (1D x 2D) + let tensor_1 = fp_tensor_1x3_helper(); + let tensor_2 = fp_tensor_3x3_helper(); + + let result = tensor_1.matmul(@tensor_2); + assert((*result.data[0]).into() == FixedTrait::from_unscaled_felt(15), 'result[0] = 15'); + assert((*result.data[1]).into() == FixedTrait::from_unscaled_felt(18), 'result[1] = 18'); + assert((*result.data[2]).into() == FixedTrait::from_unscaled_felt(21), 'result[2] = 21'); + assert(result.data.len() == 3, 'data len is 3'); + assert(result.shape.len() == 1, 'shape len is 1'); +} + diff --git a/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo b/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo new file mode 100644 index 000000000..01e507caf --- /dev/null +++ b/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo @@ -0,0 +1,71 @@ +use array::ArrayTrait; +use array::SpanTrait; +use traits::Into; + +use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::core::FixedTrait; +use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::core::TensorTrait; +use orion::tests::helpers::tensor::fixed_point::fp8x23::{ + fp_tensor_1x3_helper, fp_tensor_2x2_helper, fp_tensor_3x3_helper +}; + +#[test] +#[available_gas(200000000)] +fn matmul_1Dx1D() { + //! Case: Dot product (1D x 1D) + let tensor_1 = fp_tensor_1x3_helper(); + let tensor_2 = fp_tensor_1x3_helper(); + + let result = tensor_1.matmul(@tensor_2); + assert((*result.data[0]).into() == FixedTrait::from_unscaled_felt(5), 'result[0] = 5'); + assert(result.data.len() == 1, 'data len is 1'); + assert(result.shape.len() == 1, 'shape len is 1'); +} + +#[test] +#[available_gas(200000000)] +fn matmul_2Dx2D() { + //! Case: Matrix multiplication (2D x 2D) + let tensor_1 = fp_tensor_2x2_helper(); + let tensor_2 = fp_tensor_2x2_helper(); + + let result = tensor_1.matmul(@tensor_2); + assert((*result.data[0]).into() == FixedTrait::from_unscaled_felt(2), 'result[0] = 2'); + assert((*result.data[1]).into() == FixedTrait::from_unscaled_felt(3), 'result[1] = 3'); + assert((*result.data[2]).into() == FixedTrait::from_unscaled_felt(6), 'result[2] = 6'); + assert((*result.data[3]).into() == FixedTrait::from_unscaled_felt(11), 'result[3] = 11'); + assert(result.data.len() == 4, 'data len is 4'); + assert(result.shape.len() == 2, 'shape len is 2'); +} + +#[test] +#[available_gas(200000000)] +fn matmul_2Dx1D() { + //! Case: Matrix-Vector multiplication (2D x 1D) + let tensor_1 = fp_tensor_3x3_helper(); + let tensor_2 = fp_tensor_1x3_helper(); + + let result = tensor_1.matmul(@tensor_2); + assert((*result.data[0]).into() == FixedTrait::from_unscaled_felt(5), 'result[0] = 5'); + assert((*result.data[1]).into() == FixedTrait::from_unscaled_felt(14), 'result[1] = 14'); + assert((*result.data[2]).into() == FixedTrait::from_unscaled_felt(23), 'result[2] = 23'); + assert(result.data.len() == 3, 'data len is 3'); + assert(result.shape.len() == 1, 'shape len is 1'); +} + +#[test] +#[available_gas(200000000)] +fn matmul_1Dx2D() { + //! Case: Matrix-Vector multiplication (1D x 2D) + let tensor_1 = fp_tensor_1x3_helper(); + let tensor_2 = fp_tensor_3x3_helper(); + + let result = tensor_1.matmul(@tensor_2); + assert((*result.data[0]).into() == FixedTrait::from_unscaled_felt(15), 'result[0] = 15'); + assert((*result.data[1]).into() == FixedTrait::from_unscaled_felt(18), 'result[1] = 18'); + assert((*result.data[2]).into() == FixedTrait::from_unscaled_felt(21), 'result[2] = 21'); + assert(result.data.len() == 3, 'data len is 3'); + assert(result.shape.len() == 1, 'shape len is 1'); +} + diff --git a/src/tests/operators/linalg/matmul_test.cairo b/src/tests/operators/linalg/matmul/matmul_i32_test.cairo similarity index 93% rename from src/tests/operators/linalg/matmul_test.cairo rename to src/tests/operators/linalg/matmul/matmul_i32_test.cairo index 17ee35cec..5e1ebb846 100644 --- a/src/tests/operators/linalg/matmul_test.cairo +++ b/src/tests/operators/linalg/matmul/matmul_i32_test.cairo @@ -10,7 +10,7 @@ use orion::tests::helpers::tensor::i32::{ #[test] #[available_gas(200000000)] -fn tensor_matmul() { +fn matmul_1Dx1D() { //! Case: Dot product (1D x 1D) let tensor_1 = i32_tensor_1x3_helper(); let tensor_2 = i32_tensor_1x3_helper(); @@ -19,7 +19,11 @@ fn tensor_matmul() { assert((*result.data[0]).into() == 5, 'result[0] = 5'); assert(result.data.len() == 1, 'data len is 1'); assert(result.shape.len() == 1, 'shape len is 1'); +} +#[test] +#[available_gas(200000000)] +fn matmul_2Dx2D() { //! Case: Matrix multiplication (2D x 2D) let tensor_1 = i32_tensor_2x2_helper(); let tensor_2 = i32_tensor_2x2_helper(); @@ -35,7 +39,7 @@ fn tensor_matmul() { #[test] #[available_gas(200000000)] -fn tensor_matmul_with_matrix_vec() { +fn matmul_2Dx1D() { //! Case: Matrix-Vector multiplication (2D x 1D) let tensor_1 = i32_tensor_3x3_helper(); let tensor_2 = i32_tensor_1x3_helper(); @@ -46,7 +50,11 @@ fn tensor_matmul_with_matrix_vec() { assert((*result.data[2]).into() == 23, 'result[2] = 23'); assert(result.data.len() == 3, 'data len is 3'); assert(result.shape.len() == 1, 'shape len is 1'); +} +#[test] +#[available_gas(200000000)] +fn matmul_1Dx2D() { //! Case: Matrix-Vector multiplication (1D x 2D) let tensor_1 = i32_tensor_1x3_helper(); let tensor_2 = i32_tensor_3x3_helper(); diff --git a/src/tests/operators/linalg/matmul/matmul_u32_test.cairo b/src/tests/operators/linalg/matmul/matmul_u32_test.cairo new file mode 100644 index 000000000..62196a0c9 --- /dev/null +++ b/src/tests/operators/linalg/matmul/matmul_u32_test.cairo @@ -0,0 +1,68 @@ +use array::ArrayTrait; +use array::SpanTrait; +use traits::Into; + +use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::core::TensorTrait; +use orion::tests::helpers::tensor::u32::{ + u32_tensor_1x3_helper, u32_tensor_2x2_helper, u32_tensor_3x3_helper +}; + +#[test] +#[available_gas(200000000)] +fn matmul_1Dx1D() { + //! Case: Dot product (1D x 1D) + let tensor_1 = u32_tensor_1x3_helper(); + let tensor_2 = u32_tensor_1x3_helper(); + + let result = tensor_1.matmul(@tensor_2); + assert((*result.data[0]).into() == 5, 'result[0] = 5'); + assert(result.data.len() == 1, 'data len is 1'); + assert(result.shape.len() == 1, 'shape len is 1'); +} + +#[test] +#[available_gas(200000000)] +fn matmul_2Dx2D() { + //! Case: Matrix multiplication (2D x 2D) + let tensor_1 = u32_tensor_2x2_helper(); + let tensor_2 = u32_tensor_2x2_helper(); + + let result = tensor_1.matmul(@tensor_2); + assert((*result.data[0]).into() == 2, 'result[0] = 2'); + assert((*result.data[1]).into() == 3, 'result[1] = 3'); + assert((*result.data[2]).into() == 6, 'result[2] = 6'); + assert((*result.data[3]).into() == 11, 'result[3] = 11'); + assert(result.data.len() == 4, 'data len is 4'); + assert(result.shape.len() == 2, 'shape len is 2'); +} + +#[test] +#[available_gas(200000000)] +fn matmul_2Dx1D() { + //! Case: Matrix-Vector multiplication (2D x 1D) + let tensor_1 = u32_tensor_3x3_helper(); + let tensor_2 = u32_tensor_1x3_helper(); + + let result = tensor_1.matmul(@tensor_2); + assert((*result.data[0]).into() == 5, 'result[0] = 5'); + assert((*result.data[1]).into() == 14, 'result[1] = 14'); + assert((*result.data[2]).into() == 23, 'result[2] = 23'); + assert(result.data.len() == 3, 'data len is 3'); + assert(result.shape.len() == 1, 'shape len is 1'); +} + +#[test] +#[available_gas(200000000)] +fn matmul_1Dx2D() { + //! Case: Matrix-Vector multiplication (1D x 2D) + let tensor_1 = u32_tensor_1x3_helper(); + let tensor_2 = u32_tensor_3x3_helper(); + + let result = tensor_1.matmul(@tensor_2); + assert((*result.data[0]).into() == 15, 'result[0] = 15'); + assert((*result.data[1]).into() == 18, 'result[1] = 18'); + assert((*result.data[2]).into() == 21, 'result[2] = 21'); + assert(result.data.len() == 3, 'data len is 3'); + assert(result.shape.len() == 1, 'shape len is 1'); +} From 755f8613c6f8601b709c58db86a9f854c4d1e0c2 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Mon, 19 Jun 2023 13:39:09 +0300 Subject: [PATCH 008/126] refactor tensor abs tests --- src/tests/operators/math/abs.cairo | 2 +- .../operators/math/abs/abs_fp_test.cairo | 49 +------- .../abs/abs_fp_test/abs_fp16x16_test.cairo | 78 +++++++++++++ .../abs/abs_fp_test/abs_fp8x23_test.cairo | 78 +++++++++++++ .../operators/math/abs/abs_i32_test.cairo | 108 +++++++++++------- .../operators/math/abs/abs_u32_test.cairo | 90 +++++++++------ 6 files changed, 280 insertions(+), 125 deletions(-) create mode 100644 src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo create mode 100644 src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo diff --git a/src/tests/operators/math/abs.cairo b/src/tests/operators/math/abs.cairo index 14db157fe..2e9851d53 100644 --- a/src/tests/operators/math/abs.cairo +++ b/src/tests/operators/math/abs.cairo @@ -1,3 +1,3 @@ mod abs_i32_test; mod abs_u32_test; -mod abs_fp_test; \ No newline at end of file +mod abs_fp_test; diff --git a/src/tests/operators/math/abs/abs_fp_test.cairo b/src/tests/operators/math/abs/abs_fp_test.cairo index 8ae1251bb..428e27106 100644 --- a/src/tests/operators/math/abs/abs_fp_test.cairo +++ b/src/tests/operators/math/abs/abs_fp_test.cairo @@ -1,47 +1,2 @@ -use array::SpanTrait; -use array::ArrayTrait; -use option::OptionTrait; - -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; - -#[test] -#[available_gas(2000000)] -fn tensor_abs_fp() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr = ArrayTrait::::new(); - arr.append(FixedTrait::new(0, true)); - arr.append(FixedTrait::new(1, true)); - arr.append(FixedTrait::new(2, false)); - arr.append(FixedTrait::new(3, false)); - arr.append(FixedTrait::new(4, true)); - arr.append(FixedTrait::new(5, false)); - arr.append(FixedTrait::new(6, false)); - arr.append(FixedTrait::new(7, true)); - arr.append(FixedTrait::new(8, false)); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let tensor = TensorTrait::::new( - sizes.span(), arr.span(), Option::Some(extra) - ); - - let result = tensor.abs(); - assert(*result.data.at(0) == FixedTrait::new(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new(1, false), 'result[1] = 1'); - assert(*result.data.at(2) == FixedTrait::new(2, false), 'result[2] = 2'); - assert(*result.data.at(3) == FixedTrait::new(3, false), 'result[3] = 3'); - assert(*result.data.at(4) == FixedTrait::new(4, false), 'result[4] = 4'); - assert(*result.data.at(5) == FixedTrait::new(5, false), 'result[5] = 5'); - assert(*result.data.at(6) == FixedTrait::new(6, false), 'result[6] = 6'); - assert(*result.data.at(7) == FixedTrait::new(7, false), 'result[7] = 7'); - assert(*result.data.at(8) == FixedTrait::new(8, false), 'result[8] = 8'); - - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); -} - +mod abs_fp8x23_test; +mod abs_fp16x16_test; diff --git a/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo b/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo new file mode 100644 index 000000000..2339cfa40 --- /dev/null +++ b/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo @@ -0,0 +1,78 @@ +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::ArrayTrait; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_neg_helper; + use orion::numbers::fixed_point::core::{FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16; + + #[test] + #[available_gas(2000000000)] + fn abs_1D() { + let tensor = fp_tensor_1x3_neg_helper(); + let result = tensor.abs(); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[0] = 2'); + } +} + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::ArrayTrait; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_neg_helper; + use orion::numbers::fixed_point::core::{FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16; + + + #[test] + #[available_gas(2000000000)] + fn abs_2D() { + let tensor = fp_tensor_2x2_neg_helper(); + let result = tensor.abs(); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + } +} + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::ArrayTrait; + use core::traits::Into; + use core::option::OptionTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_neg_helper; + use orion::numbers::fixed_point::core::{FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16; + + + #[test] + #[available_gas(2000000000)] + fn abs_3D() { + let tensor = fp_tensor_2x2x2_neg_helper(); + let result = tensor.abs(); + + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.data[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result.data[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.data[6] == FixedTrait::new_unscaled(6, false), 'result[6] = 6'); + assert(*result.data[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + } +} diff --git a/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo b/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo new file mode 100644 index 000000000..4edcfd172 --- /dev/null +++ b/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo @@ -0,0 +1,78 @@ +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::ArrayTrait; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_neg_helper; + use orion::numbers::fixed_point::core::{FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23; + + #[test] + #[available_gas(2000000000)] + fn abs_1D() { + let tensor = fp_tensor_1x3_neg_helper(); + let result = tensor.abs(); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[0] = 2'); + } +} + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::ArrayTrait; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_neg_helper; + use orion::numbers::fixed_point::core::{FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23; + + + #[test] + #[available_gas(2000000000)] + fn abs_2D() { + let tensor = fp_tensor_2x2_neg_helper(); + let result = tensor.abs(); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + } +} + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::ArrayTrait; + use core::traits::Into; + use core::option::OptionTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_neg_helper; + use orion::numbers::fixed_point::core::{FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23; + + + #[test] + #[available_gas(2000000000)] + fn abs_3D() { + let tensor = fp_tensor_2x2x2_neg_helper(); + let result = tensor.abs(); + + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.data[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result.data[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.data[6] == FixedTrait::new_unscaled(6, false), 'result[6] = 6'); + assert(*result.data[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + } +} diff --git a/src/tests/operators/math/abs/abs_i32_test.cairo b/src/tests/operators/math/abs/abs_i32_test.cairo index 11e72d72a..32f27a99d 100644 --- a/src/tests/operators/math/abs/abs_i32_test.cairo +++ b/src/tests/operators/math/abs/abs_i32_test.cairo @@ -1,45 +1,67 @@ -use array::SpanTrait; -use array::ArrayTrait; -use option::OptionTrait; - -use orion::operators::tensor::implementations::impl_tensor_i32; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; - - -#[test] -#[available_gas(2000000)] -fn tensor_abs_i32() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr = ArrayTrait::::new(); - arr.append(IntegerTrait::new(0, true)); - arr.append(IntegerTrait::new(1, true)); - arr.append(IntegerTrait::new(2, false)); - arr.append(IntegerTrait::new(3, false)); - arr.append(IntegerTrait::new(4, true)); - arr.append(IntegerTrait::new(5, false)); - arr.append(IntegerTrait::new(6, false)); - arr.append(IntegerTrait::new(7, true)); - arr.append(IntegerTrait::new(8, false)); - - let extra = Option::::None(()); - - let tensor = TensorTrait::::new(sizes.span(), arr.span(), extra); - - let result = tensor.abs(); - assert(*result.data.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); - assert(*result.data.at(2) == IntegerTrait::new(2, false), 'result[2] = 2'); - assert(*result.data.at(3) == IntegerTrait::new(3, false), 'result[3] = 3'); - assert(*result.data.at(4) == IntegerTrait::new(4, false), 'result[4] = 4'); - assert(*result.data.at(5) == IntegerTrait::new(5, false), 'result[5] = 5'); - assert(*result.data.at(6) == IntegerTrait::new(6, false), 'result[6] = 6'); - assert(*result.data.at(7) == IntegerTrait::new(7, false), 'result[7] = 7'); - assert(*result.data.at(8) == IntegerTrait::new(8, false), 'result[8] = 8'); - - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::ArrayTrait; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_neg_helper; + + #[test] + #[available_gas(2000000000)] + fn abs_1D() { + let tensor = i32_tensor_1x3_neg_helper(); + let result = tensor.abs(); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + } +} + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::ArrayTrait; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_neg_helper; + + #[test] + #[available_gas(2000000000)] + fn abs_2D() { + let tensor = i32_tensor_2x2_neg_helper(); + let result = tensor.abs(); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + } +} + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::ArrayTrait; + use core::traits::Into; + use core::option::OptionTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_neg_helper; + + #[test] + #[available_gas(2000000000)] + fn abs_3D() { + let tensor = i32_tensor_2x2x2_neg_helper(); + let result = tensor.abs(); + + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + assert((*result.data[7]).into() == 7, 'result[7] = 7'); + } } diff --git a/src/tests/operators/math/abs/abs_u32_test.cairo b/src/tests/operators/math/abs/abs_u32_test.cairo index c314f9fe9..94ac6ae3b 100644 --- a/src/tests/operators/math/abs/abs_u32_test.cairo +++ b/src/tests/operators/math/abs/abs_u32_test.cairo @@ -1,41 +1,63 @@ -use array::SpanTrait; -use array::ArrayTrait; -use orion::operators::tensor::implementations::impl_tensor_u32; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; -#[test] -#[available_gas(2000000)] -fn tensor_abs_u32() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); + #[test] + #[available_gas(20000000)] + fn abs_1D() { + let tensor = u32_tensor_1x3_helper(); + let result = tensor.abs(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + } +} - let mut arr = ArrayTrait::::new(); - arr.append(0); - arr.append(1); - arr.append(2); - arr.append(3); - arr.append(4); - arr.append(5); - arr.append(6); - arr.append(7); - arr.append(8); +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; - let extra = Option::::None(()); + #[test] + #[available_gas(20000000)] + fn abs_2D() { + let tensor = u32_tensor_2x2_helper(); + let result = tensor.abs(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + assert(*result.data[3] == 3, 'result[3] = 3'); + } +} - let tensor = TensorTrait::::new(sizes.span(), arr.span(), extra); +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; - let result = tensor.abs(); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 2, 'result[2] = 2'); - assert(*result.data.at(3) == 3, 'result[3] = 3'); - assert(*result.data.at(4) == 4, 'result[4] = 4'); - assert(*result.data.at(5) == 5, 'result[5] = 5'); - assert(*result.data.at(6) == 6, 'result[6] = 6'); - assert(*result.data.at(7) == 7, 'result[7] = 7'); - assert(*result.data.at(8) == 8, 'result[8] = 8'); - - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + #[test] + #[available_gas(20000000)] + fn abs_3D() { + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.abs(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + assert(*result.data[3] == 3, 'result[3] = 3'); + assert(*result.data[4] == 4, 'result[4] = 4'); + assert(*result.data[5] == 5, 'result[5] = 5'); + assert(*result.data[6] == 6, 'result[6] = 6'); + assert(*result.data[7] == 7, 'result[7] = 7'); + } } From 7f87651e7c3e84c3074f6d683ddb202ccb114c8a Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Mon, 19 Jun 2023 13:43:23 +0300 Subject: [PATCH 009/126] rename mod in argmax/argmin tests --- .../math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo | 6 +++--- .../math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo | 6 +++--- src/tests/operators/math/argmax/argmax_i32_test.cairo | 6 +++--- src/tests/operators/math/argmax/argmax_u32_test.cairo | 6 +++--- .../math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo | 6 +++--- .../math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo | 6 +++--- src/tests/operators/math/argmin/argmin_i32_test.cairo | 6 +++--- src/tests/operators/math/argmin/argmin_u32_test.cairo | 6 +++--- 8 files changed, 24 insertions(+), 24 deletions(-) diff --git a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo index 918c81c19..178d48286 100644 --- a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo +++ b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D { +mod tensor_1D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_16x16; @@ -111,7 +111,7 @@ mod tensor1D { } #[cfg(test)] -mod tensor2D { +mod tensor_2D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_16x16; @@ -201,7 +201,7 @@ mod tensor2D { } #[cfg(test)] -mod tensor3D { +mod tensor_3D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_16x16; diff --git a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo index 15026a3be..011793fd9 100644 --- a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo +++ b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D { +mod tensor_1D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_8x23; @@ -111,7 +111,7 @@ mod tensor1D { } #[cfg(test)] -mod tensor2D { +mod tensor_2D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_8x23; @@ -201,7 +201,7 @@ mod tensor2D { } #[cfg(test)] -mod tensor3D { +mod tensor_3D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_8x23; diff --git a/src/tests/operators/math/argmax/argmax_i32_test.cairo b/src/tests/operators/math/argmax/argmax_i32_test.cairo index 28ba322cb..ec68129bf 100644 --- a/src/tests/operators/math/argmax/argmax_i32_test.cairo +++ b/src/tests/operators/math/argmax/argmax_i32_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D { +mod tensor_1D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; @@ -109,7 +109,7 @@ mod tensor1D { } #[cfg(test)] -mod tensor2D { +mod tensor_2D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; @@ -195,7 +195,7 @@ mod tensor2D { } #[cfg(test)] -mod tensor3D { +mod tensor_3D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; diff --git a/src/tests/operators/math/argmax/argmax_u32_test.cairo b/src/tests/operators/math/argmax/argmax_u32_test.cairo index 7728a140a..35b77a39f 100644 --- a/src/tests/operators/math/argmax/argmax_u32_test.cairo +++ b/src/tests/operators/math/argmax/argmax_u32_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D { +mod tensor_1D { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -95,7 +95,7 @@ mod tensor1D { } #[cfg(test)] -mod tensor2D { +mod tensor_2D { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -180,7 +180,7 @@ mod tensor2D { } #[cfg(test)] -mod tensor3D { +mod tensor_3D { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; diff --git a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo index 6abd8b3af..fa528ca67 100644 --- a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo +++ b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D { +mod tensor_1D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_16x16; @@ -119,7 +119,7 @@ mod tensor1D { } #[cfg(test)] -mod tensor2D { +mod tensor_2D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_16x16; @@ -220,7 +220,7 @@ mod tensor2D { } #[cfg(test)] -mod tensor3D { +mod tensor_3D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_16x16; diff --git a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo index 2677a83fb..403377129 100644 --- a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo +++ b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D { +mod tensor_1D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_8x23; @@ -119,7 +119,7 @@ mod tensor1D { } #[cfg(test)] -mod tensor2D { +mod tensor_2D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_8x23; @@ -220,7 +220,7 @@ mod tensor2D { } #[cfg(test)] -mod tensor3D { +mod tensor_3D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::implementations::impl_8x23; diff --git a/src/tests/operators/math/argmin/argmin_i32_test.cairo b/src/tests/operators/math/argmin/argmin_i32_test.cairo index 003d85555..33eedc8a5 100644 --- a/src/tests/operators/math/argmin/argmin_i32_test.cairo +++ b/src/tests/operators/math/argmin/argmin_i32_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D { +mod tensor_1D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; @@ -118,7 +118,7 @@ mod tensor1D { } #[cfg(test)] -mod tensor2D { +mod tensor_2D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; @@ -216,7 +216,7 @@ mod tensor2D { } #[cfg(test)] -mod tensor3D { +mod tensor_3D { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::implementations::impl_tensor_i32; diff --git a/src/tests/operators/math/argmin/argmin_u32_test.cairo b/src/tests/operators/math/argmin/argmin_u32_test.cairo index ff024cf1b..04c05080c 100644 --- a/src/tests/operators/math/argmin/argmin_u32_test.cairo +++ b/src/tests/operators/math/argmin/argmin_u32_test.cairo @@ -1,6 +1,6 @@ #[cfg(test)] -mod tensor1D { +mod tensor_1D { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -104,7 +104,7 @@ mod tensor1D { } #[cfg(test)] -mod tensor2D { +mod tensor_2D { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -201,7 +201,7 @@ mod tensor2D { } #[cfg(test)] -mod tensor3D { +mod tensor_3D { use array::{ArrayTrait,SpanTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; From 074bed70bcfe273c856afa582cb9339b4fb76df5 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Mon, 19 Jun 2023 16:22:06 +0300 Subject: [PATCH 010/126] refactor tensor ceil tests --- src/tests/helpers/tensor/i32.cairo | 204 +++++++++--------- .../operators/math/abs/abs_i32_test.cairo | 106 ++++----- .../operators/math/ceil/ceil_fp_test.cairo | 38 +--- .../ceil/ceil_fp_test/ceil_fp16x16_test.cairo | 109 ++++++++++ .../ceil/ceil_fp_test/ceil_fp8x23_test.cairo | 109 ++++++++++ .../operators/math/ceil/ceil_i32_test.cairo | 62 +++--- .../operators/math/ceil/ceil_u32_test.cairo | 98 +++++---- 7 files changed, 450 insertions(+), 276 deletions(-) create mode 100644 src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo create mode 100644 src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo diff --git a/src/tests/helpers/tensor/i32.cairo b/src/tests/helpers/tensor/i32.cairo index d9bd95da3..b01ce5a3e 100644 --- a/src/tests/helpers/tensor/i32.cairo +++ b/src/tests/helpers/tensor/i32.cairo @@ -12,9 +12,9 @@ fn i32_tensor_1x3_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); + data.append(i32 { mag: 0, sign: false }); + data.append(i32 { mag: 1, sign: false }); + data.append(i32 { mag: 2, sign: false }); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -27,9 +27,9 @@ fn i32_tensor_1x3_neg_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, true)); - data.append(IntegerTrait::new(2_u32, true)); + data.append(i32 { mag: 0, sign: false }); + data.append(i32 { mag: 1, sign: true }); + data.append(i32 { mag: 2, sign: true }); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -45,10 +45,10 @@ fn i32_tensor_2x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); - data.append(IntegerTrait::new(3_u32, false)); + data.append(i32 { mag: 0, sign: false }); + data.append(i32 { mag: 1, sign: false }); + data.append(i32 { mag: 2, sign: false }); + data.append(i32 { mag: 3, sign: false }); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -62,10 +62,10 @@ fn i32_tensor_2x2_neg_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, true)); - data.append(IntegerTrait::new(2_u32, true)); - data.append(IntegerTrait::new(3_u32, true)); + data.append(i32 { mag: 0, sign: false }); + data.append(i32 { mag: 1, sign: true }); + data.append(i32 { mag: 2, sign: true }); + data.append(i32 { mag: 3, sign: true }); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -79,15 +79,15 @@ fn i32_tensor_3x3_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); - data.append(IntegerTrait::new(3_u32, false)); - data.append(IntegerTrait::new(4_u32, false)); - data.append(IntegerTrait::new(5_u32, false)); - data.append(IntegerTrait::new(6_u32, false)); - data.append(IntegerTrait::new(7_u32, false)); - data.append(IntegerTrait::new(8_u32, false)); + data.append(i32 { mag: 0, sign: false }); + data.append(i32 { mag: 1, sign: false }); + data.append(i32 { mag: 2, sign: false }); + data.append(i32 { mag: 3, sign: false }); + data.append(i32 { mag: 4, sign: false }); + data.append(i32 { mag: 5, sign: false }); + data.append(i32 { mag: 6, sign: false }); + data.append(i32 { mag: 7, sign: false }); + data.append(i32 { mag: 8, sign: false }); let extra = Option::::None(()); @@ -102,15 +102,15 @@ fn i32_tensor_3x3_neg_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, true)); - data.append(IntegerTrait::new(2_u32, true)); - data.append(IntegerTrait::new(3_u32, true)); - data.append(IntegerTrait::new(4_u32, true)); - data.append(IntegerTrait::new(5_u32, true)); - data.append(IntegerTrait::new(6_u32, true)); - data.append(IntegerTrait::new(7_u32, true)); - data.append(IntegerTrait::new(8_u32, true)); + data.append(i32 { mag: 0_u32, sign: false }); + data.append(i32 { mag: 1_u32, sign: true }); + data.append(i32 { mag: 2_u32, sign: true }); + data.append(i32 { mag: 3_u32, sign: true }); + data.append(i32 { mag: 4_u32, sign: true }); + data.append(i32 { mag: 5_u32, sign: true }); + data.append(i32 { mag: 6_u32, sign: true }); + data.append(i32 { mag: 7_u32, sign: true }); + data.append(i32 { mag: 8_u32, sign: true }); let extra = Option::::None(()); @@ -125,12 +125,12 @@ fn i32_tensor_3x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); - data.append(IntegerTrait::new(3_u32, false)); - data.append(IntegerTrait::new(4_u32, false)); - data.append(IntegerTrait::new(5_u32, false)); + data.append(i32 { mag: 0, sign: false }); + data.append(i32 { mag: 1, sign: false }); + data.append(i32 { mag: 2, sign: false }); + data.append(i32 { mag: 3, sign: false }); + data.append(i32 { mag: 4, sign: false }); + data.append(i32 { mag: 5, sign: false }); let extra = Option::::None(()); @@ -145,12 +145,12 @@ fn i32_tensor_3x2_neg_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, true)); - data.append(IntegerTrait::new(2_u32, true)); - data.append(IntegerTrait::new(3_u32, true)); - data.append(IntegerTrait::new(4_u32, true)); - data.append(IntegerTrait::new(5_u32, true)); + data.append(i32 { mag: 0, sign: false }); + data.append(i32 { mag: 1, sign: true }); + data.append(i32 { mag: 2, sign: true }); + data.append(i32 { mag: 3, sign: true }); + data.append(i32 { mag: 4, sign: true }); + data.append(i32 { mag: 5, sign: true }); let extra = Option::::None(()); @@ -165,9 +165,9 @@ fn i32_tensor_3x1_helper() -> Tensor { sizes.append(1); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); + data.append(i32 { mag: 0, sign: false }); + data.append(i32 { mag: 1, sign: false }); + data.append(i32 { mag: 2, sign: false }); let extra = Option::::None(()); @@ -182,9 +182,9 @@ fn i32_tensor_3x1_neg_helper() -> Tensor { sizes.append(1); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, true)); - data.append(IntegerTrait::new(2_u32, true)); + data.append(i32 { mag: 0, sign: false }); + data.append(i32 { mag: 1, sign: true }); + data.append(i32 { mag: 2, sign: true }); let extra = Option::::None(()); @@ -199,12 +199,12 @@ fn i32_tensor_2x3_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); - data.append(IntegerTrait::new(3_u32, false)); - data.append(IntegerTrait::new(4_u32, false)); - data.append(IntegerTrait::new(5_u32, false)); + data.append(i32 { mag: 0, sign: false }); + data.append(i32 { mag: 1, sign: false }); + data.append(i32 { mag: 2, sign: false }); + data.append(i32 { mag: 3, sign: false }); + data.append(i32 { mag: 4, sign: false }); + data.append(i32 { mag: 5, sign: false }); let extra = Option::::None(()); @@ -219,12 +219,12 @@ fn i32_tensor_2x3_neg_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, true)); - data.append(IntegerTrait::new(2_u32, true)); - data.append(IntegerTrait::new(3_u32, true)); - data.append(IntegerTrait::new(4_u32, true)); - data.append(IntegerTrait::new(5_u32, true)); + data.append(i32 { mag: 0, sign: false }); + data.append(i32 { mag: 1, sign: true }); + data.append(i32 { mag: 2, sign: true }); + data.append(i32 { mag: 3, sign: true }); + data.append(i32 { mag: 4, sign: true }); + data.append(i32 { mag: 5, sign: true }); let extra = Option::::None(()); @@ -242,14 +242,14 @@ fn i32_tensor_2x2x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); - data.append(IntegerTrait::new(3_u32, false)); - data.append(IntegerTrait::new(4_u32, false)); - data.append(IntegerTrait::new(5_u32, false)); - data.append(IntegerTrait::new(6_u32, false)); - data.append(IntegerTrait::new(7_u32, false)); + data.append(i32 { mag: 0, sign: false }); + data.append(i32 { mag: 1, sign: false }); + data.append(i32 { mag: 2, sign: false }); + data.append(i32 { mag: 3, sign: false }); + data.append(i32 { mag: 4, sign: false }); + data.append(i32 { mag: 5, sign: false }); + data.append(i32 { mag: 6, sign: false }); + data.append(i32 { mag: 7, sign: false }); let extra = Option::::None(()); @@ -265,14 +265,14 @@ fn i32_tensor_2x2x2_neg_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, true)); - data.append(IntegerTrait::new(2_u32, true)); - data.append(IntegerTrait::new(3_u32, true)); - data.append(IntegerTrait::new(4_u32, true)); - data.append(IntegerTrait::new(5_u32, true)); - data.append(IntegerTrait::new(6_u32, true)); - data.append(IntegerTrait::new(7_u32, true)); + data.append(i32 { mag: 0_u32, sign: false }); + data.append(i32 { mag: 1_u32, sign: true }); + data.append(i32 { mag: 2_u32, sign: true }); + data.append(i32 { mag: 3_u32, sign: true }); + data.append(i32 { mag: 4_u32, sign: true }); + data.append(i32 { mag: 5_u32, sign: true }); + data.append(i32 { mag: 6_u32, sign: true }); + data.append(i32 { mag: 7_u32, sign: true }); let extra = Option::::None(()); @@ -288,18 +288,18 @@ fn i32_tensor_3x2x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); - data.append(IntegerTrait::new(3_u32, false)); - data.append(IntegerTrait::new(4_u32, false)); - data.append(IntegerTrait::new(5_u32, false)); - data.append(IntegerTrait::new(6_u32, false)); - data.append(IntegerTrait::new(7_u32, false)); - data.append(IntegerTrait::new(8_u32, false)); - data.append(IntegerTrait::new(9_u32, false)); - data.append(IntegerTrait::new(10_u32, false)); - data.append(IntegerTrait::new(11_u32, false)); + data.append(i32 { mag: 0, sign: false }); + data.append(i32 { mag: 1, sign: false }); + data.append(i32 { mag: 2, sign: false }); + data.append(i32 { mag: 3, sign: false }); + data.append(i32 { mag: 4, sign: false }); + data.append(i32 { mag: 5, sign: false }); + data.append(i32 { mag: 6, sign: false }); + data.append(i32 { mag: 7, sign: false }); + data.append(i32 { mag: 8, sign: false }); + data.append(i32 { mag: 9, sign: false }); + data.append(i32 { mag: 10, sign: false }); + data.append(i32 { mag: 11, sign: false }); let extra = Option::::None(()); @@ -315,18 +315,18 @@ fn i32_tensor_3x2x2_neg_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, true)); - data.append(IntegerTrait::new(2_u32, true)); - data.append(IntegerTrait::new(3_u32, true)); - data.append(IntegerTrait::new(4_u32, true)); - data.append(IntegerTrait::new(5_u32, true)); - data.append(IntegerTrait::new(6_u32, true)); - data.append(IntegerTrait::new(7_u32, true)); - data.append(IntegerTrait::new(8_u32, true)); - data.append(IntegerTrait::new(9_u32, true)); - data.append(IntegerTrait::new(10_u32, true)); - data.append(IntegerTrait::new(11_u32, true)); + data.append(i32 { mag: 0, sign: false }); + data.append(i32 { mag: 1, sign: true }); + data.append(i32 { mag: 2, sign: true }); + data.append(i32 { mag: 3, sign: true }); + data.append(i32 { mag: 4, sign: true }); + data.append(i32 { mag: 5, sign: true }); + data.append(i32 { mag: 6, sign: true }); + data.append(i32 { mag: 7, sign: true }); + data.append(i32 { mag: 8, sign: true }); + data.append(i32 { mag: 9, sign: true }); + data.append(i32 { mag: 10, sign: true }); + data.append(i32 { mag: 11, sign: true }); let extra = Option::::None(()); diff --git a/src/tests/operators/math/abs/abs_i32_test.cairo b/src/tests/operators/math/abs/abs_i32_test.cairo index 32f27a99d..603c5c39f 100644 --- a/src/tests/operators/math/abs/abs_i32_test.cairo +++ b/src/tests/operators/math/abs/abs_i32_test.cairo @@ -1,67 +1,41 @@ -#[cfg(test)] -mod tensor_1D { - use array::SpanTrait; - use array::ArrayTrait; - use core::traits::Into; - - use orion::operators::tensor::implementations::impl_tensor_i32; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::i32::i32_tensor_1x3_neg_helper; - - #[test] - #[available_gas(2000000000)] - fn abs_1D() { - let tensor = i32_tensor_1x3_neg_helper(); - let result = tensor.abs(); - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[1]).into() == 1, 'result[1] = 1'); - assert((*result.data[2]).into() == 2, 'result[2] = 2'); - } -} - -#[cfg(test)] -mod tensor_2D { - use array::SpanTrait; - use array::ArrayTrait; - use core::traits::Into; - - use orion::operators::tensor::implementations::impl_tensor_i32; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::i32::i32_tensor_2x2_neg_helper; - - #[test] - #[available_gas(2000000000)] - fn abs_2D() { - let tensor = i32_tensor_2x2_neg_helper(); - let result = tensor.abs(); - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[1]).into() == 1, 'result[1] = 1'); - assert((*result.data[2]).into() == 2, 'result[2] = 2'); - assert((*result.data[3]).into() == 3, 'result[3] = 3'); - } +use array::SpanTrait; +use array::ArrayTrait; +use core::traits::Into; + +use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +use orion::tests::helpers::tensor::i32::i32_tensor_1x3_neg_helper; +use orion::tests::helpers::tensor::i32::i32_tensor_2x2_neg_helper; +use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_neg_helper; + + +#[test] +#[available_gas(2000000000000000000)] +fn tensor_abs() { + // 1D + let tensor = i32_tensor_1x3_neg_helper(); + let result = tensor.abs(); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + + // 2D + let tensor = i32_tensor_2x2_neg_helper(); + let result = tensor.abs(); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + + // 3D + let tensor = i32_tensor_2x2x2_neg_helper(); + let result = tensor.abs(); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 5, 'result[5] = 5'); + assert((*result.data[6]).into() == 6, 'result[6] = 6'); + assert((*result.data[7]).into() == 7, 'result[7] = 7'); } - -#[cfg(test)] -mod tensor_3D { - use array::SpanTrait; - use array::ArrayTrait; - use core::traits::Into; - use core::option::OptionTrait; - - use orion::operators::tensor::implementations::impl_tensor_i32; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_neg_helper; - - #[test] - #[available_gas(2000000000)] - fn abs_3D() { - let tensor = i32_tensor_2x2x2_neg_helper(); - let result = tensor.abs(); - - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[2]).into() == 2, 'result[2] = 2'); - assert((*result.data[3]).into() == 3, 'result[3] = 3'); - assert((*result.data[7]).into() == 7, 'result[7] = 7'); - } -} - diff --git a/src/tests/operators/math/ceil/ceil_fp_test.cairo b/src/tests/operators/math/ceil/ceil_fp_test.cairo index ceffe77f0..957307977 100644 --- a/src/tests/operators/math/ceil/ceil_fp_test.cairo +++ b/src/tests/operators/math/ceil/ceil_fp_test.cairo @@ -1,36 +1,2 @@ -use array::SpanTrait; -use array::ArrayTrait; -use option::OptionTrait; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; - - -#[test] -#[available_gas(2000000)] -fn tensor_ceil_fp() { - let mut sizes = ArrayTrait::new(); - sizes.append(1); - sizes.append(4); - - let mut arr = ArrayTrait::::new(); - arr.append(FixedTrait::new(0, false)); - arr.append(FixedTrait::new(30000, false)); // 0.00357627868 - arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 - arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let tensor = TensorTrait::::new( - sizes.span(), arr.span(), Option::Some(extra) - ); - - let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 8388608'); // 1 - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false),'result[2] = 100663296'); // 12 - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -92274688'); // -11 - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); -} - +mod ceil_fp8x23_test; +mod ceil_fp16x16_test; \ No newline at end of file diff --git a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo new file mode 100644 index 000000000..137d25c6e --- /dev/null +++ b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo @@ -0,0 +1,109 @@ +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::ArrayTrait; + use option::OptionTrait; + use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16; + + #[test] + #[available_gas(2000000)] + fn ceil_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(234, false)); // 0.00357627868 + arr.append(FixedTrait::new(786431, false)); // 11.9999947548 + arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); + + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + } +} + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::ArrayTrait; + use option::OptionTrait; + use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16; + + #[test] + #[available_gas(2000000)] + fn ceil_2D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(234, false)); // 0.00357627868 + arr.append(FixedTrait::new(786431, false)); // 11.9999947548 + arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); + + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + } +} + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::ArrayTrait; + use option::OptionTrait; + use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16; + + #[test] + #[available_gas(2000000)] + fn ceil_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(234, false)); // 0.00357627868 + arr.append(FixedTrait::new(786431, false)); // 11.9999947548 + arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 + arr.append(FixedTrait::new(32768, false)); // 0.5 + arr.append(FixedTrait::new(32768, true)); // - 0.5 + arr.append(FixedTrait::new(98304, false)); // 1.5 + arr.append(FixedTrait::new(98304, true)); // - 1.5 + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); + + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); + assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); + assert(*result.data.at(7) == FixedTrait::new_unscaled(1, true), 'result[7] = -1'); + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + } +} + diff --git a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo new file mode 100644 index 000000000..6beb19a06 --- /dev/null +++ b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo @@ -0,0 +1,109 @@ +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::ArrayTrait; + use option::OptionTrait; + use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23; + + #[test] + #[available_gas(2000000)] + fn ceil_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(30000, false)); // 0.00357627868 + arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 + arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); + + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + } +} + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::ArrayTrait; + use option::OptionTrait; + use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23; + + #[test] + #[available_gas(2000000)] + fn ceil_2D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(30000, false)); // 0.00357627868 + arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 + arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); + + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + } +} + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::ArrayTrait; + use option::OptionTrait; + use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23; + + #[test] + #[available_gas(2000000)] + fn ceil_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(30000, false)); // 0.00357627868 + arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 + arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 + arr.append(FixedTrait::new(4194304, false)); // 0.5 + arr.append(FixedTrait::new(4194304, true)); // - 0.5 + arr.append(FixedTrait::new(12582912, false)); // 1.5 + arr.append(FixedTrait::new(12582912, true)); // - 1.5 + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); + + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); + assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); + assert(*result.data.at(7) == FixedTrait::new_unscaled(1, true), 'result[7] = -1'); + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + } +} + diff --git a/src/tests/operators/math/ceil/ceil_i32_test.cairo b/src/tests/operators/math/ceil/ceil_i32_test.cairo index e3dad68d7..40da59442 100644 --- a/src/tests/operators/math/ceil/ceil_i32_test.cairo +++ b/src/tests/operators/math/ceil/ceil_i32_test.cairo @@ -1,45 +1,41 @@ use array::SpanTrait; use array::ArrayTrait; -use option::OptionTrait; +use core::traits::Into; use orion::operators::tensor::implementations::impl_tensor_i32; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; +use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; +use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; +use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; #[test] -#[available_gas(2000000)] -fn tensor_ceil_i32() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr = ArrayTrait::::new(); - arr.append(IntegerTrait::new(0, false)); - arr.append(IntegerTrait::new(1, true)); - arr.append(IntegerTrait::new(2, false)); - arr.append(IntegerTrait::new(3, false)); - arr.append(IntegerTrait::new(4, true)); - arr.append(IntegerTrait::new(5, false)); - arr.append(IntegerTrait::new(6, false)); - arr.append(IntegerTrait::new(7, true)); - arr.append(IntegerTrait::new(8, false)); - - let extra = Option::::None(()); - - let tensor = TensorTrait::::new(sizes.span(), arr.span(), extra); +#[available_gas(2000000000000000000)] +fn tensor_ceil() { + // 1D + let tensor = i32_tensor_1x3_helper(); + let result = tensor.ceil(); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + // 2D + let tensor = i32_tensor_2x2_helper(); let result = tensor.ceil(); - assert(*result.data.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == IntegerTrait::new(1, true), 'result[1] = -1'); - assert(*result.data.at(2) == IntegerTrait::new(2, false), 'result[2] = 2'); - assert(*result.data.at(3) == IntegerTrait::new(3, false), 'result[3] = 3'); - assert(*result.data.at(4) == IntegerTrait::new(4, true), 'result[4] = -4'); - assert(*result.data.at(5) == IntegerTrait::new(5, false), 'result[5] = 5'); - assert(*result.data.at(6) == IntegerTrait::new(6, false), 'result[6] = 6'); - assert(*result.data.at(7) == IntegerTrait::new(7, true), 'result[7] = -7'); - assert(*result.data.at(8) == IntegerTrait::new(8, false), 'result[8] = 8'); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + // 3D + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.ceil(); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 5, 'result[5] = 5'); + assert((*result.data[6]).into() == 6, 'result[6] = 6'); + assert((*result.data[7]).into() == 7, 'result[7] = 7'); } - diff --git a/src/tests/operators/math/ceil/ceil_u32_test.cairo b/src/tests/operators/math/ceil/ceil_u32_test.cairo index 7841802e0..36d72c333 100644 --- a/src/tests/operators/math/ceil/ceil_u32_test.cairo +++ b/src/tests/operators/math/ceil/ceil_u32_test.cairo @@ -1,43 +1,63 @@ -use array::SpanTrait; -use array::ArrayTrait; -use orion::operators::tensor::implementations::impl_tensor_u32; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - - - -#[test] -#[available_gas(2000000)] -fn tensor_ceil_u32() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr = ArrayTrait::::new(); - arr.append(0); - arr.append(1); - arr.append(2); - arr.append(3); - arr.append(4); - arr.append(5); - arr.append(6); - arr.append(7); - arr.append(8); - - let extra = Option::::None(()); +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + + #[test] + #[available_gas(20000000)] + fn ceil_1D() { + let tensor = u32_tensor_1x3_helper(); + let result = tensor.ceil(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + } +} - let tensor = TensorTrait::::new(sizes.span(), arr.span(), extra); +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + + #[test] + #[available_gas(20000000)] + fn ceil_2D() { + let tensor = u32_tensor_2x2_helper(); + let result = tensor.ceil(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + assert(*result.data[3] == 3, 'result[3] = 3'); + } +} - let result = tensor.ceil(); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 2, 'result[2] = 2'); - assert(*result.data.at(3) == 3, 'result[3] = 3'); - assert(*result.data.at(4) == 4, 'result[4] = 4'); - assert(*result.data.at(5) == 5, 'result[5] = 5'); - assert(*result.data.at(6) == 6, 'result[6] = 6'); - assert(*result.data.at(7) == 7, 'result[7] = 7'); - assert(*result.data.at(8) == 8, 'result[8] = 8'); - - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + + #[test] + #[available_gas(20000000)] + fn ceil_3D() { + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.ceil(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + assert(*result.data[3] == 3, 'result[3] = 3'); + assert(*result.data[4] == 4, 'result[4] = 4'); + assert(*result.data[5] == 5, 'result[5] = 5'); + assert(*result.data[6] == 6, 'result[6] = 6'); + assert(*result.data[7] == 7, 'result[7] = 7'); + } } From 08b0eb21c9c984a47397a6577b3e7b030439cc55 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Tue, 20 Jun 2023 10:46:58 +0300 Subject: [PATCH 011/126] refactor tensor equal tests --- .../operators/math/equal/equal_fp_test.cairo | 122 +-------- .../equal_fp_test/equal_fp16x16_test.cairo | 258 ++++++++++++++++++ .../equal_fp_test/equal_fp8x23_test.cairo | 258 ++++++++++++++++++ .../operators/math/equal/equal_i32_test.cairo | 140 +++++++++- .../operators/math/equal/equal_u32_test.cairo | 141 +++++++++- 5 files changed, 795 insertions(+), 124 deletions(-) create mode 100644 src/tests/operators/math/equal/equal_fp_test/equal_fp16x16_test.cairo create mode 100644 src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo diff --git a/src/tests/operators/math/equal/equal_fp_test.cairo b/src/tests/operators/math/equal/equal_fp_test.cairo index 9d50ca91f..3ca100f21 100644 --- a/src/tests/operators/math/equal/equal_fp_test.cairo +++ b/src/tests/operators/math/equal/equal_fp_test.cairo @@ -1,120 +1,2 @@ -use array::SpanTrait; -use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; - -#[test] -#[available_gas(2000000)] -fn tensor_eq_fp() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new(0, false)); - arr_1.append(FixedTrait::new(1, false)); - arr_1.append(FixedTrait::new(2, false)); - arr_1.append(FixedTrait::new(3, false)); - arr_1.append(FixedTrait::new(4, false)); - arr_1.append(FixedTrait::new(5, false)); - arr_1.append(FixedTrait::new(6, false)); - arr_1.append(FixedTrait::new(7, false)); - arr_1.append(FixedTrait::new(8, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new(10, false)); - arr_2.append(FixedTrait::new(11, false)); - arr_2.append(FixedTrait::new(2, true)); - arr_2.append(FixedTrait::new(3, true)); - arr_2.append(FixedTrait::new(4, false)); - arr_2.append(FixedTrait::new(5, false)); - arr_2.append(FixedTrait::new(16, false)); - arr_2.append(FixedTrait::new(17, false)); - arr_2.append(FixedTrait::new(18, false)); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), Option::Some(extra)); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); - - let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); - assert(*result.data.at(8) == 0, 'result[8] = 0'); - - assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} - -#[test] -#[available_gas(2000000)] -fn tensor_eq_fp_broadcast() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new(0, false)); - arr_1.append(FixedTrait::new(1, false)); - arr_1.append(FixedTrait::new(2, false)); - arr_1.append(FixedTrait::new(3, false)); - arr_1.append(FixedTrait::new(4, false)); - arr_1.append(FixedTrait::new(5, false)); - arr_1.append(FixedTrait::new(6, false)); - arr_1.append(FixedTrait::new(7, false)); - arr_1.append(FixedTrait::new(8, false)); - arr_1.append(FixedTrait::new(9, false)); - arr_1.append(FixedTrait::new(10, false)); - arr_1.append(FixedTrait::new(11, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new(0, false)); - arr_2.append(FixedTrait::new(1, false)); - arr_2.append(FixedTrait::new(2, false)); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), Option::Some(extra)); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), Option::Some(extra)); - - let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} +mod equal_fp8x23_test; +mod equal_fp16x16_test; \ No newline at end of file diff --git a/src/tests/operators/math/equal/equal_fp_test/equal_fp16x16_test.cairo b/src/tests/operators/math/equal/equal_fp_test/equal_fp16x16_test.cairo new file mode 100644 index 000000000..af03a260b --- /dev/null +++ b/src/tests/operators/math/equal/equal_fp_test/equal_fp16x16_test.cairo @@ -0,0 +1,258 @@ +use array::SpanTrait; +use array::{ArrayTrait}; + +use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; +use orion::numbers::fixed_point::implementations::impl_16x16; + + +// ===== 1D ===== // + +#[test] +#[available_gas(2000000)] +fn tensor_eq_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, true)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 1, 'result[2] = 1'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 2D ===== // + +#[test] +#[available_gas(2000000)] +fn tensor_eq_2D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(12, false)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + arr_2.append(FixedTrait::new_unscaled(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 0, 'result[2] = 0'); + assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data.at(4) == 1, 'result[4] = 1'); + assert(*result.data.at(5) == 1, 'result[5] = 1'); + assert(*result.data.at(6) == 0, 'result[6] = 0'); + assert(*result.data.at(7) == 0, 'result[7] = 0'); + assert(*result.data.at(8) == 0, 'result[8] = 0'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +#[test] +#[available_gas(2000000)] +fn tensor_eq_broadcast_2D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + arr_1.append(FixedTrait::new_unscaled(9, false)); + arr_1.append(FixedTrait::new_unscaled(10, false)); + arr_1.append(FixedTrait::new_unscaled(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.eq(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.eq(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data.at(8) == 0, 'result[8] = 0'); + assert(*result_b.data.at(9) == 0, 'result[9] = 0'); + assert(*result_b.data.at(10) == 0, 'result[10] = 0'); + assert(*result_b.data.at(11) == 0, 'result[11] = 0'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 3D ===== // + +#[test] +#[available_gas(2000000)] +fn tensor_eq_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(12, false)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 0, 'result[2] = 0'); + assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data.at(4) == 1, 'result[4] = 1'); + assert(*result.data.at(5) == 1, 'result[5] = 1'); + assert(*result.data.at(6) == 0, 'result[6] = 0'); + assert(*result.data.at(7) == 0, 'result[7] = 0'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +#[test] +#[available_gas(2000000)] +fn tensor_eq_broadcast_3D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.eq(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.eq(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} diff --git a/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo b/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo new file mode 100644 index 000000000..a2ad15dfe --- /dev/null +++ b/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo @@ -0,0 +1,258 @@ +use array::SpanTrait; +use array::{ArrayTrait}; + +use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; +use orion::numbers::fixed_point::implementations::impl_8x23; + + +// ===== 1D ===== // + +#[test] +#[available_gas(2000000)] +fn tensor_eq_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, true)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 1, 'result[2] = 1'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 2D ===== // + +#[test] +#[available_gas(2000000)] +fn tensor_eq_2D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(12, false)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + arr_2.append(FixedTrait::new_unscaled(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 0, 'result[2] = 0'); + assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data.at(4) == 1, 'result[4] = 1'); + assert(*result.data.at(5) == 1, 'result[5] = 1'); + assert(*result.data.at(6) == 0, 'result[6] = 0'); + assert(*result.data.at(7) == 0, 'result[7] = 0'); + assert(*result.data.at(8) == 0, 'result[8] = 0'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +#[test] +#[available_gas(2000000)] +fn tensor_eq_broadcast_2D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + arr_1.append(FixedTrait::new_unscaled(9, false)); + arr_1.append(FixedTrait::new_unscaled(10, false)); + arr_1.append(FixedTrait::new_unscaled(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.eq(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.eq(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data.at(8) == 0, 'result[8] = 0'); + assert(*result_b.data.at(9) == 0, 'result[9] = 0'); + assert(*result_b.data.at(10) == 0, 'result[10] = 0'); + assert(*result_b.data.at(11) == 0, 'result[11] = 0'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 3D ===== // + +#[test] +#[available_gas(2000000)] +fn tensor_eq_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(12, false)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 0, 'result[2] = 0'); + assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data.at(4) == 1, 'result[4] = 1'); + assert(*result.data.at(5) == 1, 'result[5] = 1'); + assert(*result.data.at(6) == 0, 'result[6] = 0'); + assert(*result.data.at(7) == 0, 'result[7] = 0'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +#[test] +#[available_gas(2000000)] +fn tensor_eq_broadcast_3D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.eq(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.eq(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} diff --git a/src/tests/operators/math/equal/equal_i32_test.cairo b/src/tests/operators/math/equal/equal_i32_test.cairo index 15dd13692..27950b114 100644 --- a/src/tests/operators/math/equal/equal_i32_test.cairo +++ b/src/tests/operators/math/equal/equal_i32_test.cairo @@ -5,9 +5,42 @@ use orion::operators::tensor::implementations::impl_tensor_i32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +// ===== 1D ===== // + +#[test] +#[available_gas(2000000)] +fn tensor_eq_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, true)); + arr_1.append(IntegerTrait::new(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 1, 'result[2] = 1'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 2D ===== // + #[test] #[available_gas(2000000)] -fn tensor_eq_i32() { +fn tensor_eq_2D() { let mut sizes = ArrayTrait::new(); sizes.append(3); sizes.append(3); @@ -55,7 +88,7 @@ fn tensor_eq_i32() { #[test] #[available_gas(2000000)] -fn tensor_eq_i32_broadcast() { +fn tensor_eq_broadcast_2D() { let mut sizes_1 = ArrayTrait::new(); sizes_1.append(4); sizes_1.append(3); @@ -118,3 +151,106 @@ fn tensor_eq_i32_broadcast() { assert(*result_b.data.at(11) == 0, 'result[11] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } + +// ===== 3D ===== // + +#[test] +#[available_gas(2000000)] +fn tensor_eq_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(12, false)); + arr_2.append(IntegerTrait::new(3, true)); + arr_2.append(IntegerTrait::new(4, false)); + arr_2.append(IntegerTrait::new(5, false)); + arr_2.append(IntegerTrait::new(16, false)); + arr_2.append(IntegerTrait::new(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 0, 'result[2] = 0'); + assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data.at(4) == 1, 'result[4] = 1'); + assert(*result.data.at(5) == 1, 'result[5] = 1'); + assert(*result.data.at(6) == 0, 'result[6] = 0'); + assert(*result.data.at(7) == 0, 'result[7] = 0'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +#[test] +#[available_gas(2000000)] +fn tensor_eq_broadcast_3D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(0, false)); + arr_2.append(IntegerTrait::new(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.eq(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.eq(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} diff --git a/src/tests/operators/math/equal/equal_u32_test.cairo b/src/tests/operators/math/equal/equal_u32_test.cairo index 8f4dae6b9..ef15e9069 100644 --- a/src/tests/operators/math/equal/equal_u32_test.cairo +++ b/src/tests/operators/math/equal/equal_u32_test.cairo @@ -3,9 +3,42 @@ use array::{ArrayTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +// ===== 1D ===== // + #[test] #[available_gas(2000000)] -fn tensor_eq_u32() { +fn tensor_eq_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(2); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 1, 'result[2] = 1'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 2D ===== // + +#[test] +#[available_gas(2000000)] +fn tensor_eq_2D() { let mut sizes = ArrayTrait::new(); sizes.append(3); sizes.append(3); @@ -53,7 +86,7 @@ fn tensor_eq_u32() { #[test] #[available_gas(2000000)] -fn tensor_eq_u32_broadcast() { +fn tensor_eq_broadcast_2D() { let mut sizes_1 = ArrayTrait::new(); sizes_1.append(4); sizes_1.append(3); @@ -116,3 +149,107 @@ fn tensor_eq_u32_broadcast() { assert(*result_b.data.at(11) == 0, 'result[11] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } + +// ===== 3D ===== // + +#[test] +#[available_gas(2000000)] +fn tensor_eq_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0_u32); + arr_1.append(1_u32); + arr_1.append(2_u32); + arr_1.append(3_u32); + arr_1.append(4_u32); + arr_1.append(5_u32); + arr_1.append(6_u32); + arr_1.append(7_u32); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10_u32); + arr_2.append(11_u32); + arr_2.append(12_u32); + arr_2.append(13_u32); + arr_2.append(4_u32); + arr_2.append(5_u32); + arr_2.append(16_u32); + arr_2.append(17_u32); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 0, 'result[2] = 0'); + assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data.at(4) == 1, 'result[4] = 1'); + assert(*result.data.at(5) == 1, 'result[5] = 1'); + assert(*result.data.at(6) == 0, 'result[6] = 0'); + assert(*result.data.at(7) == 0, 'result[7] = 0'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +#[test] +#[available_gas(2000000)] +fn tensor_eq_broadcast_3D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0_u32); + arr_1.append(1_u32); + arr_1.append(2_u32); + arr_1.append(3_u32); + arr_1.append(4_u32); + arr_1.append(5_u32); + arr_1.append(6_u32); + arr_1.append(7_u32); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(0_u32); + arr_2.append(1_u32); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.eq(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.eq(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + From 4e91b23baacfabb6060e079ad06e7a0057904de0 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Tue, 20 Jun 2023 11:01:47 +0300 Subject: [PATCH 012/126] remove mod --- .../abs/abs_fp_test/abs_fp16x16_test.cairo | 124 ++++++------- .../abs/abs_fp_test/abs_fp8x23_test.cairo | 124 ++++++------- .../operators/math/abs/abs_i32_test.cairo | 9 +- .../operators/math/abs/abs_u32_test.cairo | 95 +++++----- .../ceil/ceil_fp_test/ceil_fp16x16_test.cairo | 171 ++++++++---------- .../ceil/ceil_fp_test/ceil_fp8x23_test.cairo | 171 ++++++++---------- .../operators/math/ceil/ceil_i32_test.cairo | 10 +- .../operators/math/ceil/ceil_u32_test.cairo | 96 +++++----- 8 files changed, 348 insertions(+), 452 deletions(-) diff --git a/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo b/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo index 2339cfa40..a22ca9bd3 100644 --- a/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo +++ b/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo @@ -1,78 +1,56 @@ -#[cfg(test)] -mod tensor_1D { - use array::SpanTrait; - use array::ArrayTrait; - use core::traits::Into; - - use orion::operators::tensor::implementations::impl_tensor_fp; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_neg_helper; - use orion::numbers::fixed_point::core::{FixedTrait}; - use orion::numbers::fixed_point::implementations::impl_16x16; - - #[test] - #[available_gas(2000000000)] - fn abs_1D() { - let tensor = fp_tensor_1x3_neg_helper(); - let result = tensor.abs(); - assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); - assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[0] = 2'); - } +use array::SpanTrait; +use array::ArrayTrait; +use core::traits::Into; + +use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +use orion::tests::helpers::tensor::fixed_point::fp16x16::{ + fp_tensor_1x3_neg_helper, fp_tensor_2x2_neg_helper, fp_tensor_2x2x2_neg_helper +}; +use orion::numbers::fixed_point::core::{FixedTrait}; +use orion::numbers::fixed_point::implementations::impl_16x16; + + +// ===== 1D ===== // + +#[test] +#[available_gas(2000000000)] +fn abs_1D() { + let tensor = fp_tensor_1x3_neg_helper(); + let result = tensor.abs(); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[0] = 2'); } -#[cfg(test)] -mod tensor_2D { - use array::SpanTrait; - use array::ArrayTrait; - use core::traits::Into; - - use orion::operators::tensor::implementations::impl_tensor_fp; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_neg_helper; - use orion::numbers::fixed_point::core::{FixedTrait}; - use orion::numbers::fixed_point::implementations::impl_16x16; - - - #[test] - #[available_gas(2000000000)] - fn abs_2D() { - let tensor = fp_tensor_2x2_neg_helper(); - let result = tensor.abs(); - assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); - assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); - } +// ===== 2D ===== // + +#[test] +#[available_gas(2000000000)] +fn abs_2D() { + let tensor = fp_tensor_2x2_neg_helper(); + let result = tensor.abs(); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); } -#[cfg(test)] -mod tensor_3D { - use array::SpanTrait; - use array::ArrayTrait; - use core::traits::Into; - use core::option::OptionTrait; - - use orion::operators::tensor::implementations::impl_tensor_fp; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_neg_helper; - use orion::numbers::fixed_point::core::{FixedTrait}; - use orion::numbers::fixed_point::implementations::impl_16x16; - - - #[test] - #[available_gas(2000000000)] - fn abs_3D() { - let tensor = fp_tensor_2x2x2_neg_helper(); - let result = tensor.abs(); - - assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); - assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); - assert(*result.data[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); - assert(*result.data[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); - assert(*result.data[6] == FixedTrait::new_unscaled(6, false), 'result[6] = 6'); - assert(*result.data[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); - } +// ===== 3D ===== // + +#[test] +#[available_gas(2000000000)] +fn abs_3D() { + let tensor = fp_tensor_2x2x2_neg_helper(); + let result = tensor.abs(); + + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.data[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result.data[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.data[6] == FixedTrait::new_unscaled(6, false), 'result[6] = 6'); + assert(*result.data[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); } + diff --git a/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo b/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo index 4edcfd172..1900f6018 100644 --- a/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo +++ b/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo @@ -1,78 +1,56 @@ -#[cfg(test)] -mod tensor_1D { - use array::SpanTrait; - use array::ArrayTrait; - use core::traits::Into; - - use orion::operators::tensor::implementations::impl_tensor_fp; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_neg_helper; - use orion::numbers::fixed_point::core::{FixedTrait}; - use orion::numbers::fixed_point::implementations::impl_8x23; - - #[test] - #[available_gas(2000000000)] - fn abs_1D() { - let tensor = fp_tensor_1x3_neg_helper(); - let result = tensor.abs(); - assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); - assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[0] = 2'); - } +use array::SpanTrait; +use array::ArrayTrait; +use core::traits::Into; + +use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +use orion::tests::helpers::tensor::fixed_point::fp8x23::{ + fp_tensor_1x3_neg_helper, fp_tensor_2x2_neg_helper, fp_tensor_2x2x2_neg_helper +}; +use orion::numbers::fixed_point::core::{FixedTrait}; +use orion::numbers::fixed_point::implementations::impl_8x23; + + +// ===== 1D ===== // + +#[test] +#[available_gas(2000000000)] +fn abs_1D() { + let tensor = fp_tensor_1x3_neg_helper(); + let result = tensor.abs(); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[0] = 2'); } -#[cfg(test)] -mod tensor_2D { - use array::SpanTrait; - use array::ArrayTrait; - use core::traits::Into; - - use orion::operators::tensor::implementations::impl_tensor_fp; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_neg_helper; - use orion::numbers::fixed_point::core::{FixedTrait}; - use orion::numbers::fixed_point::implementations::impl_8x23; - - - #[test] - #[available_gas(2000000000)] - fn abs_2D() { - let tensor = fp_tensor_2x2_neg_helper(); - let result = tensor.abs(); - assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); - assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); - } +// ===== 2D ===== // + +#[test] +#[available_gas(2000000000)] +fn abs_2D() { + let tensor = fp_tensor_2x2_neg_helper(); + let result = tensor.abs(); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); } -#[cfg(test)] -mod tensor_3D { - use array::SpanTrait; - use array::ArrayTrait; - use core::traits::Into; - use core::option::OptionTrait; - - use orion::operators::tensor::implementations::impl_tensor_fp; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_neg_helper; - use orion::numbers::fixed_point::core::{FixedTrait}; - use orion::numbers::fixed_point::implementations::impl_8x23; - - - #[test] - #[available_gas(2000000000)] - fn abs_3D() { - let tensor = fp_tensor_2x2x2_neg_helper(); - let result = tensor.abs(); - - assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); - assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); - assert(*result.data[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); - assert(*result.data[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); - assert(*result.data[6] == FixedTrait::new_unscaled(6, false), 'result[6] = 6'); - assert(*result.data[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); - } +// ===== 3D ===== // + +#[test] +#[available_gas(2000000000)] +fn abs_3D() { + let tensor = fp_tensor_2x2x2_neg_helper(); + let result = tensor.abs(); + + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.data[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result.data[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.data[6] == FixedTrait::new_unscaled(6, false), 'result[6] = 6'); + assert(*result.data[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); } + diff --git a/src/tests/operators/math/abs/abs_i32_test.cairo b/src/tests/operators/math/abs/abs_i32_test.cairo index 603c5c39f..00c03ba9c 100644 --- a/src/tests/operators/math/abs/abs_i32_test.cairo +++ b/src/tests/operators/math/abs/abs_i32_test.cairo @@ -12,14 +12,16 @@ use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_neg_helper; #[test] #[available_gas(2000000000000000000)] fn tensor_abs() { - // 1D + // ===== 1D ===== // + let tensor = i32_tensor_1x3_neg_helper(); let result = tensor.abs(); assert((*result.data[0]).into() == 0, 'result[0] = 0'); assert((*result.data[1]).into() == 1, 'result[1] = 1'); assert((*result.data[2]).into() == 2, 'result[2] = 2'); - // 2D + // ===== 2D ===== // + let tensor = i32_tensor_2x2_neg_helper(); let result = tensor.abs(); assert((*result.data[0]).into() == 0, 'result[0] = 0'); @@ -27,7 +29,8 @@ fn tensor_abs() { assert((*result.data[2]).into() == 2, 'result[2] = 2'); assert((*result.data[3]).into() == 3, 'result[3] = 3'); - // 3D + // ===== 3D ===== // + let tensor = i32_tensor_2x2x2_neg_helper(); let result = tensor.abs(); assert((*result.data[0]).into() == 0, 'result[0] = 0'); diff --git a/src/tests/operators/math/abs/abs_u32_test.cairo b/src/tests/operators/math/abs/abs_u32_test.cairo index 94ac6ae3b..d01e0ffce 100644 --- a/src/tests/operators/math/abs/abs_u32_test.cairo +++ b/src/tests/operators/math/abs/abs_u32_test.cairo @@ -1,63 +1,50 @@ -#[cfg(test)] -mod tensor_1D { - use array::SpanTrait; - use array::ArrayTrait; - use orion::operators::tensor::implementations::impl_tensor_u32; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; +use array::SpanTrait; +use array::ArrayTrait; +use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +use orion::tests::helpers::tensor::u32::{ + u32_tensor_1x3_helper, u32_tensor_2x2_helper, u32_tensor_2x2x2_helper +}; - #[test] - #[available_gas(20000000)] - fn abs_1D() { - let tensor = u32_tensor_1x3_helper(); - let result = tensor.abs(); - assert(*result.data[0] == 0, 'result[0] = 0'); - assert(*result.data[1] == 1, 'result[1] = 1'); - assert(*result.data[2] == 2, 'result[2] = 2'); - } +// ===== 1D ===== // + +#[test] +#[available_gas(20000000)] +fn tensor_abs_1D() { + let tensor = u32_tensor_1x3_helper(); + let result = tensor.abs(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); } -#[cfg(test)] -mod tensor_2D { - use array::SpanTrait; - use array::ArrayTrait; - use orion::operators::tensor::implementations::impl_tensor_u32; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; +// ===== 2D ===== // - #[test] - #[available_gas(20000000)] - fn abs_2D() { - let tensor = u32_tensor_2x2_helper(); - let result = tensor.abs(); - assert(*result.data[0] == 0, 'result[0] = 0'); - assert(*result.data[1] == 1, 'result[1] = 1'); - assert(*result.data[2] == 2, 'result[2] = 2'); - assert(*result.data[3] == 3, 'result[3] = 3'); - } +#[test] +#[available_gas(20000000)] +fn tensor_abs_2D() { + let tensor = u32_tensor_2x2_helper(); + let result = tensor.abs(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + assert(*result.data[3] == 3, 'result[3] = 3'); } -#[cfg(test)] -mod tensor_3D { - use array::SpanTrait; - use array::ArrayTrait; - use orion::operators::tensor::implementations::impl_tensor_u32; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; +// ===== 3D ===== // - #[test] - #[available_gas(20000000)] - fn abs_3D() { - let tensor = u32_tensor_2x2x2_helper(); - let result = tensor.abs(); - assert(*result.data[0] == 0, 'result[0] = 0'); - assert(*result.data[1] == 1, 'result[1] = 1'); - assert(*result.data[2] == 2, 'result[2] = 2'); - assert(*result.data[3] == 3, 'result[3] = 3'); - assert(*result.data[4] == 4, 'result[4] = 4'); - assert(*result.data[5] == 5, 'result[5] = 5'); - assert(*result.data[6] == 6, 'result[6] = 6'); - assert(*result.data[7] == 7, 'result[7] = 7'); - } +#[test] +#[available_gas(20000000)] +fn tensor_abs_3D() { + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.abs(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + assert(*result.data[3] == 3, 'result[3] = 3'); + assert(*result.data[4] == 4, 'result[4] = 4'); + assert(*result.data[5] == 5, 'result[5] = 5'); + assert(*result.data[6] == 6, 'result[6] = 6'); + assert(*result.data[7] == 7, 'result[7] = 7'); } diff --git a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo index 137d25c6e..5879d7226 100644 --- a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo +++ b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo @@ -1,109 +1,90 @@ -#[cfg(test)] -mod tensor_1D { - use array::SpanTrait; - use array::ArrayTrait; - use option::OptionTrait; - use orion::operators::tensor::implementations::impl_tensor_fp; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; - use orion::numbers::fixed_point::implementations::impl_16x16; +use array::SpanTrait; +use array::ArrayTrait; +use option::OptionTrait; +use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; +use orion::numbers::fixed_point::implementations::impl_16x16; - #[test] - #[available_gas(2000000)] - fn ceil_1D() { - let mut sizes = ArrayTrait::new(); - sizes.append(4); - let mut arr = ArrayTrait::::new(); - arr.append(FixedTrait::new(0, false)); - arr.append(FixedTrait::new(234, false)); // 0.00357627868 - arr.append(FixedTrait::new(786431, false)); // 11.9999947548 - arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; - let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); +// ===== 1D ===== // - let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); - } +#[test] +#[available_gas(2000000)] +fn tensor_ceil_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(234, false)); // 0.00357627868 + arr.append(FixedTrait::new(786431, false)); // 11.9999947548 + arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); + + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); } -#[cfg(test)] -mod tensor_2D { - use array::SpanTrait; - use array::ArrayTrait; - use option::OptionTrait; - use orion::operators::tensor::implementations::impl_tensor_fp; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; - use orion::numbers::fixed_point::implementations::impl_16x16; +// ===== 2D ===== // - #[test] - #[available_gas(2000000)] - fn ceil_2D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - let mut arr = ArrayTrait::::new(); - arr.append(FixedTrait::new(0, false)); - arr.append(FixedTrait::new(234, false)); // 0.00357627868 - arr.append(FixedTrait::new(786431, false)); // 11.9999947548 - arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; - let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); +#[test] +#[available_gas(2000000)] +fn tensor_ceil_2D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(234, false)); // 0.00357627868 + arr.append(FixedTrait::new(786431, false)); // 11.9999947548 + arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); - let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); - } + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); } -#[cfg(test)] -mod tensor_3D { - use array::SpanTrait; - use array::ArrayTrait; - use option::OptionTrait; - use orion::operators::tensor::implementations::impl_tensor_fp; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; - use orion::numbers::fixed_point::implementations::impl_16x16; +// ===== 3D ===== // - #[test] - #[available_gas(2000000)] - fn ceil_3D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); +#[test] +#[available_gas(2000000)] +fn tensor_ceil_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); - let mut arr = ArrayTrait::::new(); - arr.append(FixedTrait::new(0, false)); - arr.append(FixedTrait::new(234, false)); // 0.00357627868 - arr.append(FixedTrait::new(786431, false)); // 11.9999947548 - arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 - arr.append(FixedTrait::new(32768, false)); // 0.5 - arr.append(FixedTrait::new(32768, true)); // - 0.5 - arr.append(FixedTrait::new(98304, false)); // 1.5 - arr.append(FixedTrait::new(98304, true)); // - 1.5 + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(234, false)); // 0.00357627868 + arr.append(FixedTrait::new(786431, false)); // 11.9999947548 + arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 + arr.append(FixedTrait::new(32768, false)); // 0.5 + arr.append(FixedTrait::new(32768, true)); // - 0.5 + arr.append(FixedTrait::new(98304, false)); // 1.5 + arr.append(FixedTrait::new(98304, true)); // - 1.5 - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; - let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); - let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); - assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); - assert(*result.data.at(7) == FixedTrait::new_unscaled(1, true), 'result[7] = -1'); - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); - } + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); + assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); + assert(*result.data.at(7) == FixedTrait::new_unscaled(1, true), 'result[7] = -1'); + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo index 6beb19a06..a91c2894f 100644 --- a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo +++ b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo @@ -1,109 +1,90 @@ -#[cfg(test)] -mod tensor_1D { - use array::SpanTrait; - use array::ArrayTrait; - use option::OptionTrait; - use orion::operators::tensor::implementations::impl_tensor_fp; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; - use orion::numbers::fixed_point::implementations::impl_8x23; +use array::SpanTrait; +use array::ArrayTrait; +use option::OptionTrait; +use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; +use orion::numbers::fixed_point::implementations::impl_8x23; - #[test] - #[available_gas(2000000)] - fn ceil_1D() { - let mut sizes = ArrayTrait::new(); - sizes.append(4); - let mut arr = ArrayTrait::::new(); - arr.append(FixedTrait::new(0, false)); - arr.append(FixedTrait::new(30000, false)); // 0.00357627868 - arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 - arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); +// ===== 1D ===== // - let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); - } +#[test] +#[available_gas(2000000)] +fn tensor_ceil_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(30000, false)); // 0.00357627868 + arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 + arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); + + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); } -#[cfg(test)] -mod tensor_2D { - use array::SpanTrait; - use array::ArrayTrait; - use option::OptionTrait; - use orion::operators::tensor::implementations::impl_tensor_fp; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; - use orion::numbers::fixed_point::implementations::impl_8x23; +// ===== 2D ===== // - #[test] - #[available_gas(2000000)] - fn ceil_2D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - let mut arr = ArrayTrait::::new(); - arr.append(FixedTrait::new(0, false)); - arr.append(FixedTrait::new(30000, false)); // 0.00357627868 - arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 - arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); +#[test] +#[available_gas(2000000)] +fn tensor_ceil_2D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(30000, false)); // 0.00357627868 + arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 + arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); - let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); - } + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); } -#[cfg(test)] -mod tensor_3D { - use array::SpanTrait; - use array::ArrayTrait; - use option::OptionTrait; - use orion::operators::tensor::implementations::impl_tensor_fp; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; - use orion::numbers::fixed_point::implementations::impl_8x23; +// ===== 3D ===== // - #[test] - #[available_gas(2000000)] - fn ceil_3D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); +#[test] +#[available_gas(2000000)] +fn tensor_ceil_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); - let mut arr = ArrayTrait::::new(); - arr.append(FixedTrait::new(0, false)); - arr.append(FixedTrait::new(30000, false)); // 0.00357627868 - arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 - arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 - arr.append(FixedTrait::new(4194304, false)); // 0.5 - arr.append(FixedTrait::new(4194304, true)); // - 0.5 - arr.append(FixedTrait::new(12582912, false)); // 1.5 - arr.append(FixedTrait::new(12582912, true)); // - 1.5 + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(30000, false)); // 0.00357627868 + arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 + arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 + arr.append(FixedTrait::new(4194304, false)); // 0.5 + arr.append(FixedTrait::new(4194304, true)); // - 0.5 + arr.append(FixedTrait::new(12582912, false)); // 1.5 + arr.append(FixedTrait::new(12582912, true)); // - 1.5 - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); - let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); - assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); - assert(*result.data.at(7) == FixedTrait::new_unscaled(1, true), 'result[7] = -1'); - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); - } + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); + assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); + assert(*result.data.at(7) == FixedTrait::new_unscaled(1, true), 'result[7] = -1'); + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/math/ceil/ceil_i32_test.cairo b/src/tests/operators/math/ceil/ceil_i32_test.cairo index 40da59442..cb0ef3666 100644 --- a/src/tests/operators/math/ceil/ceil_i32_test.cairo +++ b/src/tests/operators/math/ceil/ceil_i32_test.cairo @@ -8,18 +8,19 @@ use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; - #[test] #[available_gas(2000000000000000000)] fn tensor_ceil() { - // 1D + // ===== 1D ===== // + let tensor = i32_tensor_1x3_helper(); let result = tensor.ceil(); assert((*result.data[0]).into() == 0, 'result[0] = 0'); assert((*result.data[1]).into() == 1, 'result[1] = 1'); assert((*result.data[2]).into() == 2, 'result[2] = 2'); - // 2D + // ===== 2D ===== // + let tensor = i32_tensor_2x2_helper(); let result = tensor.ceil(); assert((*result.data[0]).into() == 0, 'result[0] = 0'); @@ -27,7 +28,8 @@ fn tensor_ceil() { assert((*result.data[2]).into() == 2, 'result[2] = 2'); assert((*result.data[3]).into() == 3, 'result[3] = 3'); - // 3D + // ===== 3D ===== // + let tensor = i32_tensor_2x2x2_helper(); let result = tensor.ceil(); assert((*result.data[0]).into() == 0, 'result[0] = 0'); diff --git a/src/tests/operators/math/ceil/ceil_u32_test.cairo b/src/tests/operators/math/ceil/ceil_u32_test.cairo index 36d72c333..73b7f1d1b 100644 --- a/src/tests/operators/math/ceil/ceil_u32_test.cairo +++ b/src/tests/operators/math/ceil/ceil_u32_test.cairo @@ -1,63 +1,49 @@ -#[cfg(test)] -mod tensor_1D { - use array::SpanTrait; - use array::ArrayTrait; - use orion::operators::tensor::implementations::impl_tensor_u32; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; +use array::SpanTrait; +use array::ArrayTrait; +use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +use orion::tests::helpers::tensor::u32::{ + u32_tensor_1x3_helper, u32_tensor_2x2_helper, u32_tensor_2x2x2_helper +}; - #[test] - #[available_gas(20000000)] - fn ceil_1D() { - let tensor = u32_tensor_1x3_helper(); - let result = tensor.ceil(); - assert(*result.data[0] == 0, 'result[0] = 0'); - assert(*result.data[1] == 1, 'result[1] = 1'); - assert(*result.data[2] == 2, 'result[2] = 2'); - } +// ===== 1D ===== // + +#[test] +#[available_gas(20000000)] +fn tensor_ceil_1D() { + let tensor = u32_tensor_1x3_helper(); + let result = tensor.ceil(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); } -#[cfg(test)] -mod tensor_2D { - use array::SpanTrait; - use array::ArrayTrait; - use orion::operators::tensor::implementations::impl_tensor_u32; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; +// ===== 2D ===== // - #[test] - #[available_gas(20000000)] - fn ceil_2D() { - let tensor = u32_tensor_2x2_helper(); - let result = tensor.ceil(); - assert(*result.data[0] == 0, 'result[0] = 0'); - assert(*result.data[1] == 1, 'result[1] = 1'); - assert(*result.data[2] == 2, 'result[2] = 2'); - assert(*result.data[3] == 3, 'result[3] = 3'); - } +#[test] +#[available_gas(20000000)] +fn tensor_ceil_2D() { + let tensor = u32_tensor_2x2_helper(); + let result = tensor.ceil(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + assert(*result.data[3] == 3, 'result[3] = 3'); } -#[cfg(test)] -mod tensor_3D { - use array::SpanTrait; - use array::ArrayTrait; - use orion::operators::tensor::implementations::impl_tensor_u32; - use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; +// ===== 3D ===== // - #[test] - #[available_gas(20000000)] - fn ceil_3D() { - let tensor = u32_tensor_2x2x2_helper(); - let result = tensor.ceil(); - assert(*result.data[0] == 0, 'result[0] = 0'); - assert(*result.data[1] == 1, 'result[1] = 1'); - assert(*result.data[2] == 2, 'result[2] = 2'); - assert(*result.data[3] == 3, 'result[3] = 3'); - assert(*result.data[4] == 4, 'result[4] = 4'); - assert(*result.data[5] == 5, 'result[5] = 5'); - assert(*result.data[6] == 6, 'result[6] = 6'); - assert(*result.data[7] == 7, 'result[7] = 7'); - } +#[test] +#[available_gas(20000000)] +fn tensor_ceil_3D() { + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.ceil(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + assert(*result.data[3] == 3, 'result[3] = 3'); + assert(*result.data[4] == 4, 'result[4] = 4'); + assert(*result.data[5] == 5, 'result[5] = 5'); + assert(*result.data[6] == 6, 'result[6] = 6'); + assert(*result.data[7] == 7, 'result[7] = 7'); } - From a52299f49d05ec2a2628fca9a1128dd0edbab2be Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Tue, 20 Jun 2023 11:44:30 +0300 Subject: [PATCH 013/126] refactor tensor greater tests --- .../math/greater/greater_fp_test.cairo | 138 +-------- .../greater_fp16x16_test.cairo | 286 ++++++++++++++++++ .../greater_fp_test/greater_fp8x23_test.cairo | 286 ++++++++++++++++++ .../math/greater/greater_i32_test.cairo | 157 +++++++++- .../math/greater/greater_u32_test.cairo | 224 +++++++++++--- 5 files changed, 918 insertions(+), 173 deletions(-) create mode 100644 src/tests/operators/math/greater/greater_fp_test/greater_fp16x16_test.cairo create mode 100644 src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo diff --git a/src/tests/operators/math/greater/greater_fp_test.cairo b/src/tests/operators/math/greater/greater_fp_test.cairo index 031344b7e..f16be0649 100644 --- a/src/tests/operators/math/greater/greater_fp_test.cairo +++ b/src/tests/operators/math/greater/greater_fp_test.cairo @@ -1,135 +1,3 @@ -use array::SpanTrait; -use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; - -#[test] -#[available_gas(2000000)] -fn tensor_greater_fp() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new(0, false)); - arr_1.append(FixedTrait::new(1, false)); - arr_1.append(FixedTrait::new(2, false)); - arr_1.append(FixedTrait::new(3, false)); - arr_1.append(FixedTrait::new(4, false)); - arr_1.append(FixedTrait::new(5, false)); - arr_1.append(FixedTrait::new(6, false)); - arr_1.append(FixedTrait::new(7, false)); - arr_1.append(FixedTrait::new(8, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new(10, false)); - arr_2.append(FixedTrait::new(11, false)); - arr_2.append(FixedTrait::new(2, true)); - arr_2.append(FixedTrait::new(3, true)); - arr_2.append(FixedTrait::new(4, false)); - arr_2.append(FixedTrait::new(5, false)); - arr_2.append(FixedTrait::new(16, false)); - arr_2.append(FixedTrait::new(17, false)); - arr_2.append(FixedTrait::new(18, false)); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), Option::Some(extra)); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); - - let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} - -#[test] -#[available_gas(2000000)] -fn tensor_greater_fp_broadcast() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new(0, false)); - arr_1.append(FixedTrait::new(1, false)); - arr_1.append(FixedTrait::new(2, false)); - arr_1.append(FixedTrait::new(3, false)); - arr_1.append(FixedTrait::new(4, false)); - arr_1.append(FixedTrait::new(5, false)); - arr_1.append(FixedTrait::new(6, false)); - arr_1.append(FixedTrait::new(7, false)); - arr_1.append(FixedTrait::new(8, false)); - arr_1.append(FixedTrait::new(9, false)); - arr_1.append(FixedTrait::new(10, false)); - arr_1.append(FixedTrait::new(11, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new(0, false)); - arr_2.append(FixedTrait::new(1, false)); - arr_2.append(FixedTrait::new(2, false)); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), Option::Some(extra)); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), Option::Some(extra)); - - let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} +mod greater_fp8x23_test; +// TODO: The following panics with "Failed setting up runner." +// mod greater_fp16x16_test; diff --git a/src/tests/operators/math/greater/greater_fp_test/greater_fp16x16_test.cairo b/src/tests/operators/math/greater/greater_fp_test/greater_fp16x16_test.cairo new file mode 100644 index 000000000..32139941e --- /dev/null +++ b/src/tests/operators/math/greater/greater_fp_test/greater_fp16x16_test.cairo @@ -0,0 +1,286 @@ +use array::SpanTrait; +use array::{ArrayTrait}; + +use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; +use orion::numbers::fixed_point::implementations::impl_16x16; + +// ===== 1D ===== // + +#[test] +#[available_gas(2000000000000)] +fn tensor_greater_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 2D ===== // + +#[test] +#[available_gas(200000000000)] +fn tensor_greater_2D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + arr_2.append(FixedTrait::new_unscaled(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +#[test] +#[available_gas(200000000000)] +fn tensor_greater_broadcast_2D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + arr_1.append(FixedTrait::new_unscaled(9, false)); + arr_1.append(FixedTrait::new_unscaled(10, false)); + arr_1.append(FixedTrait::new_unscaled(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data.at(9) == 1, 'result[9] = 1'); + assert(*result_b.data.at(10) == 1, 'result[10] = 1'); + assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 3D ===== // + +#[test] +#[available_gas(2000000000000)] +fn tensor_greater_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +#[test] +#[available_gas(2000000000000)] +fn tensor_greater_broadcast_3D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 1, 'result[2] = 0'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} diff --git a/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo b/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo new file mode 100644 index 000000000..ee1b48916 --- /dev/null +++ b/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo @@ -0,0 +1,286 @@ +use array::SpanTrait; +use array::{ArrayTrait}; + +use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; +use orion::numbers::fixed_point::implementations::impl_8x23; + +// ===== 1D ===== // + +#[test] +#[available_gas(2000000000000)] +fn tensor_greater_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 2D ===== // + +#[test] +#[available_gas(200000000000)] +fn tensor_greater_2D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + arr_2.append(FixedTrait::new_unscaled(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +#[test] +#[available_gas(200000000000)] +fn tensor_greater_broadcast_2D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + arr_1.append(FixedTrait::new_unscaled(9, false)); + arr_1.append(FixedTrait::new_unscaled(10, false)); + arr_1.append(FixedTrait::new_unscaled(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data.at(9) == 1, 'result[9] = 1'); + assert(*result_b.data.at(10) == 1, 'result[10] = 1'); + assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 3D ===== // + +#[test] +#[available_gas(2000000000000)] +fn tensor_greater_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +#[test] +#[available_gas(2000000000000)] +fn tensor_greater_broadcast_3D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 1, 'result[2] = 0'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} diff --git a/src/tests/operators/math/greater/greater_i32_test.cairo b/src/tests/operators/math/greater/greater_i32_test.cairo index 51eaa24fc..933c97eb6 100644 --- a/src/tests/operators/math/greater/greater_i32_test.cairo +++ b/src/tests/operators/math/greater/greater_i32_test.cairo @@ -5,10 +5,42 @@ use orion::operators::tensor::implementations::impl_tensor_i32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +// ===== 1D ===== // #[test] -#[available_gas(2000000)] -fn tensor_greater_i32() { +#[available_gas(2000000000000)] +fn tensor_greater_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, true)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 2D ===== // + +#[test] +#[available_gas(200000000000)] +fn tensor_greater_2D() { let mut sizes = ArrayTrait::new(); sizes.append(3); sizes.append(3); @@ -68,8 +100,8 @@ fn tensor_greater_i32() { } #[test] -#[available_gas(2000000)] -fn tensor_greater_i32_broadcast() { +#[available_gas(200000000000)] +fn tensor_greater_broadcast_2D() { let mut sizes_1 = ArrayTrait::new(); sizes_1.append(4); sizes_1.append(3); @@ -134,3 +166,120 @@ fn tensor_greater_i32_broadcast() { assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } + +// ===== 3D ===== // + +#[test] +#[available_gas(2000000000000)] +fn tensor_greater_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, true)); + arr_2.append(IntegerTrait::new(3, true)); + arr_2.append(IntegerTrait::new(4, false)); + arr_2.append(IntegerTrait::new(5, false)); + arr_2.append(IntegerTrait::new(16, false)); + arr_2.append(IntegerTrait::new(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +#[test] +#[available_gas(2000000000000)] +fn tensor_greater_broadcast_3D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(0, false)); + arr_2.append(IntegerTrait::new(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 1, 'result[2] = 0'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} diff --git a/src/tests/operators/math/greater/greater_u32_test.cairo b/src/tests/operators/math/greater/greater_u32_test.cairo index e8c6a9cbe..a79980a52 100644 --- a/src/tests/operators/math/greater/greater_u32_test.cairo +++ b/src/tests/operators/math/greater/greater_u32_test.cairo @@ -3,13 +3,185 @@ use array::{ArrayTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +// ===== 1D ===== // + #[test] #[available_gas(2000000)] -fn tensor_greater_u32() { +fn tensor_greater_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(1); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 2D ===== // + +#[test] +#[available_gas(2000000)] +fn tensor_greater_2D() { let mut sizes = ArrayTrait::new(); sizes.append(3); sizes.append(3); + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(7); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(12); + arr_2.append(13); + arr_2.append(4); + arr_2.append(5); + arr_2.append(16); + arr_2.append(17); + arr_2.append(18); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +#[test] +#[available_gas(2000000)] +fn tensor_greater_broadcast_2D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + arr_1.append(9); + arr_1.append(10); + arr_1.append(11); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(0); + arr_2.append(1); + arr_2.append(2); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data.at(9) == 1, 'result[9] = 1'); + assert(*result_b.data.at(10) == 1, 'result[10] = 1'); + assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 3D ===== // + +#[test] +#[available_gas(2000000)] +fn tensor_greater_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + let mut arr_1 = ArrayTrait::::new(); arr_1.append(0_u32); arr_1.append(1_u32); @@ -19,7 +191,6 @@ fn tensor_greater_u32() { arr_1.append(7_u32); arr_1.append(6_u32); arr_1.append(7_u32); - arr_1.append(8_u32); let mut arr_2 = ArrayTrait::::new(); arr_2.append(10_u32); @@ -30,7 +201,6 @@ fn tensor_greater_u32() { arr_2.append(5_u32); arr_2.append(16_u32); arr_2.append(17_u32); - arr_2.append(18_u32); let extra = Option::::None(()); @@ -46,7 +216,6 @@ fn tensor_greater_u32() { assert(*result_a.data.at(5) == 1, 'result[5] = 1'); assert(*result_a.data.at(6) == 0, 'result[6] = 0'); assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); @@ -59,40 +228,36 @@ fn tensor_greater_u32() { assert(*result_b.data.at(5) == 0, 'result[5] = 0'); assert(*result_b.data.at(6) == 1, 'result[6] = 1'); assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } #[test] #[available_gas(2000000)] -fn tensor_greater_u32_broadcast() { +fn tensor_greater_broadcast_3D() { let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); let mut sizes_2 = ArrayTrait::new(); sizes_2.append(1); - sizes_2.append(3); + sizes_2.append(2); + sizes_2.append(1); let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(5_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - arr_1.append(8_u32); - arr_1.append(9_u32); - arr_1.append(10_u32); - arr_1.append(11_u32); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0_u32); - arr_2.append(1_u32); - arr_2.append(2_u32); + arr_2.append(0); + arr_2.append(1); let extra = Option::::None(()); @@ -108,26 +273,17 @@ fn tensor_greater_u32_broadcast() { assert(*result_a.data.at(5) == 0, 'result[5] = 0'); assert(*result_a.data.at(6) == 0, 'result[6] = 0'); assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater(@tensor_b); assert(*result_b.data.at(0) == 0, 'result[0] = 0'); assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); assert(*result_b.data.at(3) == 1, 'result[3] = 1'); assert(*result_b.data.at(4) == 1, 'result[4] = 1'); assert(*result_b.data.at(5) == 1, 'result[5] = 1'); assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } From 4a8fcb061bb2c63ec50677adcc5c3e82b980ad39 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Tue, 20 Jun 2023 12:18:58 +0300 Subject: [PATCH 014/126] refactor greater_equal_u32 tests --- .../greater_equal_u32_test.cairo | 224 +++++++++++++++--- 1 file changed, 190 insertions(+), 34 deletions(-) diff --git a/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo b/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo index b189a197f..468c9ebdc 100644 --- a/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo +++ b/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo @@ -3,13 +3,185 @@ use array::{ArrayTrait}; use orion::operators::tensor::implementations::impl_tensor_u32; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +// ===== 1D ===== // + #[test] #[available_gas(2000000)] -fn tensor_greater_equal_u32() { +fn tensor_greater_equal_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(2); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater_equal(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater_equal(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 0'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 2D ===== // + +#[test] +#[available_gas(2000000)] +fn tensor_greater_equal_2D() { let mut sizes = ArrayTrait::new(); sizes.append(3); sizes.append(3); + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(7); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(12); + arr_2.append(13); + arr_2.append(4); + arr_2.append(5); + arr_2.append(16); + arr_2.append(17); + arr_2.append(18); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater_equal(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 1, 'result[4] = 0'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater_equal(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +#[test] +#[available_gas(2000000)] +fn tensor_greater_equal_broadcast_2D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + arr_1.append(9); + arr_1.append(10); + arr_1.append(11); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(0); + arr_2.append(1); + arr_2.append(2); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data.at(9) == 1, 'result[9] = 1'); + assert(*result_b.data.at(10) == 1, 'result[10] = 1'); + assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +} + +// ===== 3D ===== // + +#[test] +#[available_gas(2000000)] +fn tensor_greater_equal_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + let mut arr_1 = ArrayTrait::::new(); arr_1.append(0_u32); arr_1.append(1_u32); @@ -19,7 +191,6 @@ fn tensor_greater_equal_u32() { arr_1.append(7_u32); arr_1.append(6_u32); arr_1.append(7_u32); - arr_1.append(8_u32); let mut arr_2 = ArrayTrait::::new(); arr_2.append(10_u32); @@ -30,7 +201,6 @@ fn tensor_greater_equal_u32() { arr_2.append(5_u32); arr_2.append(16_u32); arr_2.append(17_u32); - arr_2.append(18_u32); let extra = Option::::None(()); @@ -46,7 +216,6 @@ fn tensor_greater_equal_u32() { assert(*result_a.data.at(5) == 1, 'result[5] = 1'); assert(*result_a.data.at(6) == 0, 'result[6] = 0'); assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); @@ -59,40 +228,36 @@ fn tensor_greater_equal_u32() { assert(*result_b.data.at(5) == 0, 'result[5] = 0'); assert(*result_b.data.at(6) == 1, 'result[6] = 1'); assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } #[test] #[available_gas(2000000)] -fn tensor_greater_equal_u32_broadcast() { +fn tensor_greater_equal_broadcast_3D() { let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); let mut sizes_2 = ArrayTrait::new(); sizes_2.append(1); - sizes_2.append(3); + sizes_2.append(2); + sizes_2.append(1); let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(5_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - arr_1.append(8_u32); - arr_1.append(9_u32); - arr_1.append(10_u32); - arr_1.append(11_u32); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0_u32); - arr_2.append(1_u32); - arr_2.append(2_u32); + arr_2.append(0); + arr_2.append(1); let extra = Option::::None(()); @@ -102,16 +267,12 @@ fn tensor_greater_equal_u32_broadcast() { let result_a = tensor_b.greater_equal(@tensor_a); assert(*result_a.data.at(0) == 1, 'result[0] = 1'); assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); assert(*result_a.data.at(3) == 0, 'result[3] = 0'); assert(*result_a.data.at(4) == 0, 'result[4] = 0'); assert(*result_a.data.at(5) == 0, 'result[5] = 0'); assert(*result_a.data.at(6) == 0, 'result[6] = 0'); assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); @@ -123,11 +284,6 @@ fn tensor_greater_equal_u32_broadcast() { assert(*result_b.data.at(4) == 1, 'result[4] = 1'); assert(*result_b.data.at(5) == 1, 'result[5] = 1'); assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } From ea24936e838fcbe83c9acf4cca4111780ceb2af0 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Tue, 20 Jun 2023 13:07:01 +0300 Subject: [PATCH 015/126] Update greater_fp_test.cairo --- src/tests/operators/math/greater/greater_fp_test.cairo | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/tests/operators/math/greater/greater_fp_test.cairo b/src/tests/operators/math/greater/greater_fp_test.cairo index f16be0649..8920240a6 100644 --- a/src/tests/operators/math/greater/greater_fp_test.cairo +++ b/src/tests/operators/math/greater/greater_fp_test.cairo @@ -1,3 +1,3 @@ mod greater_fp8x23_test; -// TODO: The following panics with "Failed setting up runner." +// TODO: The following panics with "Failed setting up runner. - Failed calculating gas usage" // mod greater_fp16x16_test; From 96ed910373f37f8d6cbf1194d37f6e2b695c619d Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Tue, 20 Jun 2023 19:07:57 +0300 Subject: [PATCH 016/126] fix build errors --- .../operators/neural-network/nn.leaky_relu.md | 2 +- .../operators/neural-network/nn.linear.md | 2 +- .../operators/neural-network/nn.logsoftmax.md | 2 +- docs/apis/operators/neural-network/nn.relu.md | 2 +- .../operators/neural-network/nn.sigmoid.md | 2 +- .../operators/neural-network/nn.softmax.md | 2 +- .../operators/neural-network/nn.softplus.md | 2 +- .../operators/neural-network/nn.softsign.md | 2 +- ...ication-with-feedforward-neural-network.md | 8 +- .../mnist-classification-with-orion.md | 8 +- .../implementations/impl_16x16.cairo | 34 ++++----- .../implementations/impl_8x23.cairo | 8 +- src/numbers/fixed_point/math/math_16x16.cairo | 9 ++- src/numbers/fixed_point/math/math_8x23.cairo | 9 ++- src/numbers/signed_integer/i128.cairo | 14 ++-- src/numbers/signed_integer/i16.cairo | 14 ++-- src/numbers/signed_integer/i32.cairo | 14 ++-- src/numbers/signed_integer/i64.cairo | 14 ++-- src/numbers/signed_integer/i8.cairo | 14 ++-- src/operators/nn/core.cairo | 16 ++-- .../leaky_relu/leaky_relu_i32/fp16x16.cairo | 10 +-- .../leaky_relu/leaky_relu_i32/fp8x23.cairo | 10 +-- .../leaky_relu/leaky_relu_u32/fp16x16.cairo | 6 +- .../leaky_relu/leaky_relu_u32/fp8x23.cairo | 6 +- .../nn/functional/linear/linear_i32.cairo | 4 +- .../nn/functional/linear/linear_u32.cairo | 4 +- .../logsoftmax/logsoftmax_i32.cairo | 7 +- .../logsoftmax/logsoftmax_u32.cairo | 7 +- .../nn/functional/relu/relu_i32.cairo | 2 +- .../nn/functional/relu/relu_u32.cairo | 2 +- .../sigmoid/sigmoid_i32/fp16x16.cairo | 5 +- .../sigmoid/sigmoid_i32/fp8x23.cairo | 4 +- .../sigmoid/sigmoid_u32/fp16x16.cairo | 4 +- .../sigmoid/sigmoid_u32/fp8x23.cairo | 4 +- .../nn/functional/softmax/softmax_i32.cairo | 5 +- .../nn/functional/softmax/softmax_u32.cairo | 5 +- .../softplus/softplus_i32/fp16x16.cairo | 4 +- .../softplus/softplus_i32/fp8x23.cairo | 4 +- .../softplus/softplus_u32/fp16x16.cairo | 4 +- .../softplus/softplus_u32/fp8x23.cairo | 4 +- .../softsign/softsign_i32/fp16x16.cairo | 4 +- .../softsign/softsign_i32/fp8x23.cairo | 4 +- .../softsign/softsign_u32/fp16x16.cairo | 4 +- .../softsign/softsign_u32/fp8x23.cairo | 4 +- src/operators/tensor/helpers.cairo | 4 +- .../implementations/impl_tensor_u32.cairo | 8 +- .../tensor/linalg/matmul/helpers.cairo | 4 +- .../linalg/matmul/matmul_fp/fp16x16.cairo | 11 +-- .../linalg/matmul/matmul_fp/fp8x23.cairo | 9 +-- .../tensor/linalg/matmul/matmul_i32.cairo | 6 +- .../tensor/linalg/matmul/matmul_u32.cairo | 6 +- .../linalg/transpose/transpose_fp/core.cairo | 2 +- .../transpose/transpose_fp/fp16x16.cairo | 4 +- .../transpose/transpose_fp/fp8x23.cairo | 4 +- .../linalg/transpose/transpose_i32.cairo | 2 +- .../linalg/transpose/transpose_u32.cairo | 2 +- .../tensor/math/abs/abs_fp/core.cairo | 2 +- .../tensor/math/abs/abs_fp/fp16x16.cairo | 5 +- .../tensor/math/abs/abs_fp/fp8x23.cairo | 5 +- src/operators/tensor/math/abs/abs_i32.cairo | 2 +- .../math/argmax/argmax_fp/fp16x16.cairo | 31 ++++---- .../tensor/math/argmax/argmax_fp/fp8x23.cairo | 31 ++++---- .../tensor/math/argmax/argmax_i32.cairo | 25 +++--- .../tensor/math/argmax/argmax_u32.cairo | 22 +++--- .../tensor/math/argmax/helpers.cairo | 76 ++++++++++--------- .../math/argmin/argmin_fp/fp16x16.cairo | 9 ++- .../tensor/math/argmin/argmin_fp/fp8x23.cairo | 9 ++- .../tensor/math/argmin/argmin_i32.cairo | 2 +- .../tensor/math/argmin/argmin_u32.cairo | 2 +- .../tensor/math/argmin/helpers.cairo | 2 +- .../arithmetic/arithmetic_fp/fp16x16.cairo | 8 +- .../arithmetic/arithmetic_fp/fp8x23.cairo | 10 +-- .../math/arithmetic/arithmetic_i32.cairo | 2 +- .../math/arithmetic/arithmetic_u32.cairo | 2 +- .../tensor/math/ceil/ceil_fp/core.cairo | 2 +- .../tensor/math/ceil/ceil_fp/fp16x16.cairo | 4 +- .../tensor/math/ceil/ceil_fp/fp8x23.cairo | 4 +- .../tensor/math/equal/equal_fp/fp16x16.cairo | 6 +- .../tensor/math/equal/equal_fp/fp8x23.cairo | 6 +- .../tensor/math/equal/equal_i32.cairo | 2 +- .../tensor/math/equal/equal_u32.cairo | 2 +- .../tensor/math/exp/exp_fp/fp16x16.cairo | 5 +- .../tensor/math/exp/exp_fp/fp8x23.cairo | 5 +- .../tensor/math/exp/exp_i32/fp16x16.cairo | 5 +- .../tensor/math/exp/exp_i32/fp8x23.cairo | 5 +- .../tensor/math/exp/exp_u32/fp16x16.cairo | 5 +- .../tensor/math/exp/exp_u32/fp8x23.cairo | 5 +- .../math/greater/greater_fp/fp16x16.cairo | 23 +++--- .../math/greater/greater_fp/fp8x23.cairo | 4 +- .../tensor/math/greater/greater_i32.cairo | 2 +- .../tensor/math/greater/greater_u32.cairo | 2 +- .../greater_equal_fp/fp16x16.cairo | 4 +- .../greater_equal_fp/fp8x23.cairo | 4 +- .../greater_equal/greater_equal_i32.cairo | 2 +- .../greater_equal/greater_equal_u32.cairo | 2 +- .../tensor/math/less/less_fp/fp16x16.cairo | 4 +- .../tensor/math/less/less_fp/fp8x23.cairo | 4 +- src/operators/tensor/math/less/less_i32.cairo | 2 +- src/operators/tensor/math/less/less_u32.cairo | 2 +- .../less_equal/less_equal_fp/fp16x16.cairo | 5 +- .../less_equal/less_equal_fp/fp8x23.cairo | 5 +- .../math/less_equal/less_equal_i32.cairo | 2 +- .../math/less_equal/less_equal_u32.cairo | 2 +- .../tensor/math/ln/ln_fp/fp16x16.cairo | 5 +- .../tensor/math/ln/ln_fp/fp8x23.cairo | 5 +- .../tensor/math/ln/ln_i32/fp16x16.cairo | 5 +- .../tensor/math/ln/ln_i32/fp8x23.cairo | 5 +- .../tensor/math/ln/ln_u32/fp16x16.cairo | 4 +- .../tensor/math/ln/ln_u32/fp8x23.cairo | 5 +- .../tensor/math/max/max_fp/fp16x16.cairo | 4 +- .../tensor/math/max/max_fp/fp8x23.cairo | 5 +- .../tensor/math/min/min_fp/fp16x16.cairo | 5 +- .../tensor/math/min/min_fp/fp8x23.cairo | 5 +- src/operators/tensor/math/min/min_u32.cairo | 2 +- .../reduce_sum/reduce_sum_fp/fp16x16.cairo | 8 +- .../reduce_sum/reduce_sum_fp/fp8x23.cairo | 8 +- .../math/reduce_sum/reduce_sum_i32.cairo | 2 +- .../math/reduce_sum/reduce_sum_u32.cairo | 2 +- .../quantization/quant_fp/fp16x16.cairo | 7 +- .../quantization/quant_fp/fp8x23.cairo | 7 +- .../functional/quantization/quant_i32.cairo | 4 +- .../functional/quantization/quant_u32.cairo | 4 +- .../impl_performance_i32.cairo | 2 +- .../impl_performance_u32.cairo | 2 +- .../numbers/fixed_point/fp16x16_test.cairo | 7 +- .../numbers/fixed_point/fp8x23_test.cairo | 7 +- src/tests/numbers/signed_integer_test.cairo | 10 +-- src/tests/operators/linalg/matmul_test.cairo | 2 +- .../operators/math/abs/abs_fp_test.cairo | 8 +- .../operators/math/abs/abs_i32_test.cairo | 2 +- .../operators/math/abs/abs_u32_test.cairo | 2 +- .../argmax_fp_test/argmax_fp16x16_test.cairo | 12 +-- .../argmax_fp_test/argmax_fp8x23_test.cairo | 12 +-- .../math/argmax/argmax_i32_test.cairo | 6 +- .../math/argmax/argmax_u32_test.cairo | 6 +- .../argmin_fp_test/argmin_fp16x16_test.cairo | 12 +-- .../argmin_fp_test/argmin_fp8x23_test.cairo | 12 +-- .../math/argmin/argmin_i32_test.cairo | 6 +- .../math/argmin/argmin_u32_test.cairo | 6 +- .../operators/math/ceil/ceil_fp_test.cairo | 16 ++-- .../operators/math/ceil/ceil_i32_test.cairo | 2 +- .../operators/math/ceil/ceil_u32_test.cairo | 2 +- .../operators/math/equal/equal_fp_test.cairo | 4 +- .../operators/math/equal/equal_i32_test.cairo | 2 +- .../operators/math/equal/equal_u32_test.cairo | 2 +- src/tests/operators/math/exp_test.cairo | 4 +- .../math/greater/greater_fp_test.cairo | 4 +- .../math/greater/greater_i32_test.cairo | 2 +- .../math/greater/greater_u32_test.cairo | 2 +- .../greater_equal/greater_equal_fp_test.cairo | 5 +- .../greater_equal_i32_test.cairo | 2 +- .../greater_equal_u32_test.cairo | 2 +- .../operators/math/less/less_fp_test.cairo | 5 +- .../operators/math/less/less_i32_test.cairo | 2 +- .../operators/math/less/less_u32_test.cairo | 2 +- .../math/less_equal/less_equal_fp_test.cairo | 5 +- .../math/less_equal/less_equal_i32_test.cairo | 2 +- .../math/less_equal/less_equal_u32_test.cairo | 2 +- src/tests/operators/math/ln_test.cairo | 4 +- src/tests/operators/math/max_test.cairo | 2 +- src/tests/operators/math/min_test.cairo | 2 +- .../operators/math/reduce_sum_test.cairo | 2 +- .../leaky_relu/leaky_relu_i32_test.cairo | 8 +- .../leaky_relu/leaky_relu_u32_test.cairo | 6 +- .../nn/functional/linear/linear_test.cairo | 17 +++-- .../logsoftmax/logsoftmax_test.cairo | 4 +- .../nn/functional/relu/relu_i32_test.cairo | 4 +- .../nn/functional/relu/relu_u32_test.cairo | 4 +- .../functional/sigmoid/sigmoid_i32_test.cairo | 4 +- .../functional/sigmoid/sigmoid_u32_test.cairo | 4 +- .../nn/functional/softmax/softmax_test.cairo | 4 +- .../softplus/softplus_i32_test.cairo | 4 +- .../softplus/softplus_u32_test.cairo | 6 +- .../softsign/softsign_i32_test.cairo | 4 +- .../softsign/softsign_u32_test.cairo | 6 +- .../helpers/helpers_fp/fp16x16_helpers.cairo | 4 +- .../helpers/helpers_fp/fp8x23_helpers.cairo | 5 +- .../tensor/helpers/helpers_i32.cairo | 2 +- .../tensor/helpers/helpers_u32.cairo | 2 +- src/tests/operators/tensor/tensor_test.cairo | 4 +- src/tests/performance/quantization_test.cairo | 8 +- src/utils.cairo | 6 +- 182 files changed, 549 insertions(+), 567 deletions(-) diff --git a/docs/apis/operators/neural-network/nn.leaky_relu.md b/docs/apis/operators/neural-network/nn.leaky_relu.md index 57f2de35d..939479bec 100644 --- a/docs/apis/operators/neural-network/nn.leaky_relu.md +++ b/docs/apis/operators/neural-network/nn.leaky_relu.md @@ -24,7 +24,7 @@ A new FixedType tensor with the same shape as the input tensor and the Leaky ReL ```rust use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; fn leaky_relu_example() -> Tensor { // We instantiate a 2D Tensor here, the alpha and set threshold to 0. diff --git a/docs/apis/operators/neural-network/nn.linear.md b/docs/apis/operators/neural-network/nn.linear.md index 8066997ed..dadeee8bb 100644 --- a/docs/apis/operators/neural-network/nn.linear.md +++ b/docs/apis/operators/neural-network/nn.linear.md @@ -25,7 +25,7 @@ A `Tensor` representing the result of the linear transformation, possibly qua ```rust use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; fn linear_layer_example() -> Tensor { // We instantiate inputs here. diff --git a/docs/apis/operators/neural-network/nn.logsoftmax.md b/docs/apis/operators/neural-network/nn.logsoftmax.md index 5db2cfc2a..7aeaab3bf 100644 --- a/docs/apis/operators/neural-network/nn.logsoftmax.md +++ b/docs/apis/operators/neural-network/nn.logsoftmax.md @@ -23,7 +23,7 @@ A Tensor of fixed point numbers with the same shape than the input Tensor. ```rust use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32; +use orion::operators::nn::implementations::impl_nn_u32::NN_u32; fn logsoftmax_example() -> Tensor { // We instantiate a 2D Tensor here. diff --git a/docs/apis/operators/neural-network/nn.relu.md b/docs/apis/operators/neural-network/nn.relu.md index 0b22b6113..c3cd7397d 100644 --- a/docs/apis/operators/neural-network/nn.relu.md +++ b/docs/apis/operators/neural-network/nn.relu.md @@ -23,7 +23,7 @@ A `Tensor` with the same shape as the input tensor. ```rust use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; fn relu_example() -> Tensor { // We instantiate a 2D Tensor here and set threshold to 0. diff --git a/docs/apis/operators/neural-network/nn.sigmoid.md b/docs/apis/operators/neural-network/nn.sigmoid.md index 0afef652d..0a71c439c 100644 --- a/docs/apis/operators/neural-network/nn.sigmoid.md +++ b/docs/apis/operators/neural-network/nn.sigmoid.md @@ -22,7 +22,7 @@ A Tensor of fixed point numbers with the same shape than the input Tensor. ```rust use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32; +use orion::operators::nn::implementations::impl_nn_u32::NN_u32; fn sigmoid_example() -> Tensor { // We instantiate a 2D Tensor here. diff --git a/docs/apis/operators/neural-network/nn.softmax.md b/docs/apis/operators/neural-network/nn.softmax.md index a60e2a197..ccee20b41 100644 --- a/docs/apis/operators/neural-network/nn.softmax.md +++ b/docs/apis/operators/neural-network/nn.softmax.md @@ -23,7 +23,7 @@ A Tensor of fixed point numbers with the same shape than the input Tensor. ```rust use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32; +use orion::operators::nn::implementations::impl_nn_u32::NN_u32; fn softmax_example() -> Tensor { // We instantiate a 2D Tensor here. diff --git a/docs/apis/operators/neural-network/nn.softplus.md b/docs/apis/operators/neural-network/nn.softplus.md index c5da0d5f0..ba85c69b7 100644 --- a/docs/apis/operators/neural-network/nn.softplus.md +++ b/docs/apis/operators/neural-network/nn.softplus.md @@ -22,7 +22,7 @@ A Tensor of fixed point numbers with the same shape than the input Tensor. ```rust use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32; +use orion::operators::nn::implementations::impl_nn_u32::NN_u32; fn softplus_example() -> Tensor { // We instantiate a 2D Tensor here. diff --git a/docs/apis/operators/neural-network/nn.softsign.md b/docs/apis/operators/neural-network/nn.softsign.md index 65d289b64..95f164f10 100644 --- a/docs/apis/operators/neural-network/nn.softsign.md +++ b/docs/apis/operators/neural-network/nn.softsign.md @@ -22,7 +22,7 @@ A Tensor of fixed point numbers with the same shape than the input Tensor. ```rust use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32; +use orion::operators::nn::implementations::impl_nn_u32::NN_u32; fn softsign_example() -> Tensor { // We instantiate a 2D Tensor here. diff --git a/docs/resources/tutorials/mnist-classification-with-feedforward-neural-network.md b/docs/resources/tutorials/mnist-classification-with-feedforward-neural-network.md index 069020f21..73de7e898 100644 --- a/docs/resources/tutorials/mnist-classification-with-feedforward-neural-network.md +++ b/docs/resources/tutorials/mnist-classification-with-feedforward-neural-network.md @@ -392,7 +392,7 @@ for tensor_name, tensor in tensors.items(): f.write( "use array::ArrayTrait;\n" + "use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams};\n" + - "use orion::operators::tensor::implementations::impl_tensor_i32;\n" + + "use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32;\n" + "use orion::numbers::fixed_point::core::FixedImpl;\n" + "use orion::numbers::signed_integer::i32::i32;\n\n" + "fn {0}() -> Tensor<i32> ".format(tensor_name) + "{\n" + @@ -434,7 +434,7 @@ Here is a file we generated: `fc1_bias.cairo` ```rust use array::ArrayTrait; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::fixed_point::core::FixedImpl; use orion::numbers::signed_integer::i32::i32; @@ -540,7 +540,7 @@ use orion::operators::tensor::core::Tensor; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::NNTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; fn fc1(i: Tensor, w: Tensor, b: Tensor) -> Tensor { let x = NNTrait::linear(i, w, b, true); // `true` because we want to quantize the result @@ -557,7 +557,7 @@ use orion::operators::tensor::core::Tensor; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::NNTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; fn fc1(i: Tensor, w: Tensor, b: Tensor) -> Tensor { let x = NNTrait::linear(i, w, b, true); diff --git a/docs/resources/tutorials/mnist-classification-with-orion.md b/docs/resources/tutorials/mnist-classification-with-orion.md index 0ad7930d4..fe4096a32 100644 --- a/docs/resources/tutorials/mnist-classification-with-orion.md +++ b/docs/resources/tutorials/mnist-classification-with-orion.md @@ -393,7 +393,7 @@ for tensor_name, tensor in tensors.items(): f.write( "use array::ArrayTrait;\n" + "use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams};\n" + - "use orion::operators::tensor::implementations::impl_tensor_i32;\n" + + "use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32;\n" + "use orion::numbers::fixed_point::core::FixedImpl;\n" + "use orion::numbers::signed_integer::i32::i32;\n\n" + "fn {0}() -> Tensor<i32> ".format(tensor_name) + "{\n" + @@ -435,7 +435,7 @@ Here is a file we generated: `fc1_bias.cairo` ```rust use array::ArrayTrait; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::fixed_point::core::FixedImpl; use orion::numbers::signed_integer::i32::i32; @@ -541,7 +541,7 @@ use orion::operators::tensor::core::Tensor; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::NNTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; fn fc1(i: Tensor, w: Tensor, b: Tensor) -> Tensor { let x = NNTrait::linear(i, w, b, true); // `true` because we want to quantize the result @@ -558,7 +558,7 @@ use orion::operators::tensor::core::Tensor; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::NNTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; fn fc1(i: Tensor, w: Tensor, b: Tensor) -> Tensor { let x = NNTrait::linear(i, w, b, true); diff --git a/src/numbers/fixed_point/implementations/impl_16x16.cairo b/src/numbers/fixed_point/implementations/impl_16x16.cairo index beb0f3e15..943df4761 100644 --- a/src/numbers/fixed_point/implementations/impl_16x16.cairo +++ b/src/numbers/fixed_point/implementations/impl_16x16.cairo @@ -83,14 +83,14 @@ impl FP16x16Impl of FixedTrait { } } -impl fp16x16Print of PrintTrait { +impl FP16x16Print of PrintTrait { fn print(self: FixedType) { self.sign.print(); self.mag.print(); } } -impl fp16x16Into of Into { +impl FP16x16Into of Into { fn into(self: FixedType) -> felt252 { let mag_felt = self.mag.into(); @@ -102,71 +102,71 @@ impl fp16x16Into of Into { } } -impl fp16x16PartialEq of PartialEq { +impl FP16x16PartialEq of PartialEq { #[inline(always)] - fn eq(lhs: FixedType, rhs: FixedType) -> bool { - return math_16x16::eq(lhs, rhs); + fn eq(lhs: @FixedType, rhs: @FixedType) -> bool { + return math_16x16::eq(*lhs, *rhs); } #[inline(always)] - fn ne(lhs: FixedType, rhs: FixedType) -> bool { - return math_16x16::ne(lhs, rhs); + fn ne(lhs: @FixedType, rhs: @FixedType) -> bool { + return math_16x16::ne(*lhs, *rhs); } } -impl fp16x16Add of Add { +impl FP16x16Add of Add { fn add(lhs: FixedType, rhs: FixedType) -> FixedType { return math_16x16::add(lhs, rhs); } } -impl fp16x16AddEq of AddEq { +impl FP16x16AddEq of AddEq { #[inline(always)] fn add_eq(ref self: FixedType, other: FixedType) { self = Add::add(self, other); } } -impl fp16x16Sub of Sub { +impl FP16x16Sub of Sub { fn sub(lhs: FixedType, rhs: FixedType) -> FixedType { return math_16x16::sub(lhs, rhs); } } -impl fp16x16SubEq of SubEq { +impl FP16x16SubEq of SubEq { #[inline(always)] fn sub_eq(ref self: FixedType, other: FixedType) { self = Sub::sub(self, other); } } -impl fp16x16Mul of Mul { +impl FP16x16Mul of Mul { fn mul(lhs: FixedType, rhs: FixedType) -> FixedType { return math_16x16::mul(lhs, rhs); } } -impl fp16x16MulEq of MulEq { +impl FP16x16MulEq of MulEq { #[inline(always)] fn mul_eq(ref self: FixedType, other: FixedType) { self = Mul::mul(self, other); } } -impl fp16x16Div of Div { +impl FP16x16Div of Div { fn div(lhs: FixedType, rhs: FixedType) -> FixedType { return math_16x16::div(lhs, rhs); } } -impl fp16x16DivEq of DivEq { +impl FP16x16DivEq of DivEq { #[inline(always)] fn div_eq(ref self: FixedType, other: FixedType) { self = Div::div(self, other); } } -impl fp16x16PartialOrd of PartialOrd { +impl FP16x16PartialOrd of PartialOrd { #[inline(always)] fn ge(lhs: FixedType, rhs: FixedType) -> bool { return math_16x16::ge(lhs, rhs); @@ -188,7 +188,7 @@ impl fp16x16PartialOrd of PartialOrd { } } -impl fp16x16Neg of Neg { +impl FP16x16Neg of Neg { #[inline(always)] fn neg(a: FixedType) -> FixedType { return math_16x16::neg(a); diff --git a/src/numbers/fixed_point/implementations/impl_8x23.cairo b/src/numbers/fixed_point/implementations/impl_8x23.cairo index fa2eaa577..97428ddf3 100644 --- a/src/numbers/fixed_point/implementations/impl_8x23.cairo +++ b/src/numbers/fixed_point/implementations/impl_8x23.cairo @@ -104,13 +104,13 @@ impl FP8x23Into of Into { impl FP8x23PartialEq of PartialEq { #[inline(always)] - fn eq(lhs: FixedType, rhs: FixedType) -> bool { - return math_8x23::eq(lhs, rhs); + fn eq(lhs: @FixedType, rhs: @FixedType) -> bool { + return math_8x23::eq(*lhs, *rhs); } #[inline(always)] - fn ne(lhs: FixedType, rhs: FixedType) -> bool { - return math_8x23::ne(lhs, rhs); + fn ne(lhs: @FixedType, rhs: @FixedType) -> bool { + return math_8x23::ne(*lhs, *rhs); } } diff --git a/src/numbers/fixed_point/math/math_16x16.cairo b/src/numbers/fixed_point/math/math_16x16.cairo index c125c7f61..02c451481 100644 --- a/src/numbers/fixed_point/math/math_16x16.cairo +++ b/src/numbers/fixed_point/math/math_16x16.cairo @@ -1,7 +1,10 @@ use traits::Into; use orion::numbers::fixed_point::implementations::impl_16x16::{ONE, ONE_u64, MAX, HALF}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16Add, FP16x16AddEq, FP16x16Into, FP16x16Print, FP16x16PartialEq, FP16x16Sub, + FP16x16SubEq, FP16x16Mul, FP16x16MulEq, FP16x16Div, FP16x16DivEq, FP16x16PartialOrd, FP16x16Neg +}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::utils::check_gas; @@ -71,7 +74,7 @@ fn div(a: FixedType, b: FixedType) -> FixedType { /// /// * A boolean value that indicates whether the input fixed point numbers are equal. fn eq(a: FixedType, b: FixedType) -> bool { - return a.mag == b.mag & a.sign == b.sign; + return (a.mag == b.mag) & (a.sign == b.sign); } /// Cf: FixedTrait::exp docstring @@ -283,7 +286,7 @@ fn mul(a: FixedType, b: FixedType) -> FixedType { /// /// * A boolean value that indicates whether the first fixed point number is not equal to the second fixed point number. fn ne(a: FixedType, b: FixedType) -> bool { - return a.mag != b.mag | a.sign != b.sign; + return (a.mag != b.mag) | (a.sign != b.sign); } /// Negates a fixed point number. diff --git a/src/numbers/fixed_point/math/math_8x23.cairo b/src/numbers/fixed_point/math/math_8x23.cairo index d4c3effa8..08e8c4b64 100644 --- a/src/numbers/fixed_point/math/math_8x23.cairo +++ b/src/numbers/fixed_point/math/math_8x23.cairo @@ -1,7 +1,10 @@ use traits::Into; use orion::numbers::fixed_point::implementations::impl_8x23::{ONE, ONE_u64, MAX, HALF}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{ + FP8x23Impl, FP8x23Add, FP8x23AddEq, FP8x23Into, FP8x23Print, FP8x23PartialEq, FP8x23Sub, + FP8x23SubEq, FP8x23Mul, FP8x23MulEq, FP8x23Div, FP8x23DivEq, FP8x23PartialOrd, FP8x23Neg +}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::utils::check_gas; @@ -71,7 +74,7 @@ fn div(a: FixedType, b: FixedType) -> FixedType { /// /// * A boolean value that indicates whether the input fixed point numbers are equal. fn eq(a: FixedType, b: FixedType) -> bool { - return a.mag == b.mag & a.sign == b.sign; + return (a.mag == b.mag) & (a.sign == b.sign); } /// Cf: FixedTrait::exp docstring @@ -285,7 +288,7 @@ fn mul(a: FixedType, b: FixedType) -> FixedType { /// /// * A boolean value that indicates whether the first fixed point number is not equal to the second fixed point number. fn ne(a: FixedType, b: FixedType) -> bool { - return a.mag != b.mag | a.sign != b.sign; + return (a.mag != b.mag) | (a.sign != b.sign); } /// Negates a fixed point number. diff --git a/src/numbers/signed_integer/i128.cairo b/src/numbers/signed_integer/i128.cairo index 48ebe1871..3319b6635 100644 --- a/src/numbers/signed_integer/i128.cairo +++ b/src/numbers/signed_integer/i128.cairo @@ -126,12 +126,12 @@ impl i128RemEq of RemEq { // Implements the PartialEq trait for i128. impl i128PartialEq of PartialEq { - fn eq(lhs: i128, rhs: i128) -> bool { - i128_eq(lhs, rhs) + fn eq(lhs: @i128, rhs: @i128) -> bool { + i128_eq(*lhs, *rhs) } - fn ne(lhs: i128, rhs: i128) -> bool { - i128_ne(lhs, rhs) + fn ne(lhs: @i128, rhs: @i128) -> bool { + i128_ne(*lhs, *rhs) } } @@ -337,7 +337,7 @@ fn i128_div_rem(a: i128, b: i128) -> (i128, i128) { // * `bool` - `true` if the two integers are equal, `false` otherwise. fn i128_eq(a: i128, b: i128) -> bool { // Check if the two integers have the same sign and the same absolute value. - if a.sign == b.sign & a.mag == b.mag { + if (a.sign == b.sign) & (a.mag == b.mag) { return true; } @@ -399,7 +399,7 @@ fn i128_lt(a: i128, b: i128) -> bool { // # Returns // * `bool` - `true` if `a` is less than or equal to `b`, `false` otherwise. fn i128_le(a: i128, b: i128) -> bool { - if (a == b | i128_lt(a, b) == true) { + if ((a == b) | (i128_lt(a, b) == true)) { return true; } else { return false; @@ -413,7 +413,7 @@ fn i128_le(a: i128, b: i128) -> bool { // # Returns // * `bool` - `true` if `a` is greater than or equal to `b`, `false` otherwise. fn i128_ge(a: i128, b: i128) -> bool { - if (a == b | i128_gt(a, b) == true) { + if ((a == b) | (i128_gt(a, b) == true)) { return true; } else { return false; diff --git a/src/numbers/signed_integer/i16.cairo b/src/numbers/signed_integer/i16.cairo index 66631ff23..86d8157ad 100644 --- a/src/numbers/signed_integer/i16.cairo +++ b/src/numbers/signed_integer/i16.cairo @@ -126,12 +126,12 @@ impl i16RemEq of RemEq { // Implements the PartialEq trait for i16. impl i16PartialEq of PartialEq { - fn eq(lhs: i16, rhs: i16) -> bool { - i16_eq(lhs, rhs) + fn eq(lhs: @i16, rhs: @i16) -> bool { + i16_eq(*lhs, *rhs) } - fn ne(lhs: i16, rhs: i16) -> bool { - i16_ne(lhs, rhs) + fn ne(lhs: @i16, rhs: @i16) -> bool { + i16_ne(*lhs, *rhs) } } @@ -337,7 +337,7 @@ fn i16_div_rem(a: i16, b: i16) -> (i16, i16) { // * `bool` - `true` if the two integers are equal, `false` otherwise. fn i16_eq(a: i16, b: i16) -> bool { // Check if the two integers have the same sign and the same absolute value. - if a.sign == b.sign & a.mag == b.mag { + if (a.sign == b.sign) & (a.mag == b.mag) { return true; } @@ -399,7 +399,7 @@ fn i16_lt(a: i16, b: i16) -> bool { // # Returns // * `bool` - `true` if `a` is less than or equal to `b`, `false` otherwise. fn i16_le(a: i16, b: i16) -> bool { - if (a == b | i16_lt(a, b) == true) { + if ((a == b) | (i16_lt(a, b) == true)) { return true; } else { return false; @@ -413,7 +413,7 @@ fn i16_le(a: i16, b: i16) -> bool { // # Returns // * `bool` - `true` if `a` is greater than or equal to `b`, `false` otherwise. fn i16_ge(a: i16, b: i16) -> bool { - if (a == b | i16_gt(a, b) == true) { + if ((a == b) | i16_gt(a, b) == true) { return true; } else { return false; diff --git a/src/numbers/signed_integer/i32.cairo b/src/numbers/signed_integer/i32.cairo index ece999a8e..f2beef3ce 100644 --- a/src/numbers/signed_integer/i32.cairo +++ b/src/numbers/signed_integer/i32.cairo @@ -126,12 +126,12 @@ impl i32RemEq of RemEq { // Implements the PartialEq trait for i32. impl i32PartialEq of PartialEq { - fn eq(lhs: i32, rhs: i32) -> bool { - i32_eq(lhs, rhs) + fn eq(lhs: @i32, rhs: @i32) -> bool { + i32_eq(*lhs, *rhs) } - fn ne(lhs: i32, rhs: i32) -> bool { - i32_ne(lhs, rhs) + fn ne(lhs: @i32, rhs: @i32) -> bool { + i32_ne(*lhs, *rhs) } } @@ -337,7 +337,7 @@ fn i32_div_rem(a: i32, b: i32) -> (i32, i32) { // * `bool` - `true` if the two integers are equal, `false` otherwise. fn i32_eq(a: i32, b: i32) -> bool { // Check if the two integers have the same sign and the same absolute value. - if a.sign == b.sign & a.mag == b.mag { + if (a.sign == b.sign) & (a.mag == b.mag) { return true; } @@ -399,7 +399,7 @@ fn i32_lt(a: i32, b: i32) -> bool { // # Returns // * `bool` - `true` if `a` is less than or equal to `b`, `false` otherwise. fn i32_le(a: i32, b: i32) -> bool { - if (a == b | i32_lt(a, b) == true) { + if ((a == b) | (i32_lt(a, b) == true)) { return true; } else { return false; @@ -413,7 +413,7 @@ fn i32_le(a: i32, b: i32) -> bool { // # Returns // * `bool` - `true` if `a` is greater than or equal to `b`, `false` otherwise. fn i32_ge(a: i32, b: i32) -> bool { - if (a == b | i32_gt(a, b) == true) { + if ((a == b )| (i32_gt(a, b) == true)) { return true; } else { return false; diff --git a/src/numbers/signed_integer/i64.cairo b/src/numbers/signed_integer/i64.cairo index 3aabe7528..34fdf1fdd 100644 --- a/src/numbers/signed_integer/i64.cairo +++ b/src/numbers/signed_integer/i64.cairo @@ -126,12 +126,12 @@ impl i64RemEq of RemEq { // Implements the PartialEq trait for i64. impl i64PartialEq of PartialEq { - fn eq(lhs: i64, rhs: i64) -> bool { - i64_eq(lhs, rhs) + fn eq(lhs: @i64, rhs: @i64) -> bool { + i64_eq(*lhs, *rhs) } - fn ne(lhs: i64, rhs: i64) -> bool { - i64_ne(lhs, rhs) + fn ne(lhs: @i64, rhs: @i64) -> bool { + i64_ne(*lhs, *rhs) } } @@ -337,7 +337,7 @@ fn i64_div_rem(a: i64, b: i64) -> (i64, i64) { // * `bool` - `true` if the two integers are equal, `false` otherwise. fn i64_eq(a: i64, b: i64) -> bool { // Check if the two integers have the same sign and the same absolute value. - if a.sign == b.sign & a.mag == b.mag { + if (a.sign == b.sign )& (a.mag == b.mag) { return true; } @@ -399,7 +399,7 @@ fn i64_lt(a: i64, b: i64) -> bool { // # Returns // * `bool` - `true` if `a` is less than or equal to `b`, `false` otherwise. fn i64_le(a: i64, b: i64) -> bool { - if (a == b | i64_lt(a, b) == true) { + if ((a == b) | (i64_lt(a, b) == true)) { return true; } else { return false; @@ -413,7 +413,7 @@ fn i64_le(a: i64, b: i64) -> bool { // # Returns // * `bool` - `true` if `a` is greater than or equal to `b`, `false` otherwise. fn i64_ge(a: i64, b: i64) -> bool { - if (a == b | i64_gt(a, b) == true) { + if ((a == b) | (i64_gt(a, b) == true)) { return true; } else { return false; diff --git a/src/numbers/signed_integer/i8.cairo b/src/numbers/signed_integer/i8.cairo index 84715449d..79f114eb2 100644 --- a/src/numbers/signed_integer/i8.cairo +++ b/src/numbers/signed_integer/i8.cairo @@ -126,12 +126,12 @@ impl i8RemEq of RemEq { // Implements the PartialEq trait for i8. impl i8PartialEq of PartialEq { - fn eq(lhs: i8, rhs: i8) -> bool { - i8_eq(lhs, rhs) + fn eq(lhs: @i8, rhs: @i8) -> bool { + i8_eq(*lhs, *rhs) } - fn ne(lhs: i8, rhs: i8) -> bool { - i8_ne(lhs, rhs) + fn ne(lhs: @i8, rhs: @i8) -> bool { + i8_ne(*lhs, *rhs) } } @@ -337,7 +337,7 @@ fn i8_div_rem(a: i8, b: i8) -> (i8, i8) { // * `bool` - `true` if the two integers are equal, `false` otherwise. fn i8_eq(a: i8, b: i8) -> bool { // Check if the two integers have the same sign and the same absolute value. - if a.sign == b.sign & a.mag == b.mag { + if (a.sign == b.sign) & (a.mag == b.mag) { return true; } @@ -399,7 +399,7 @@ fn i8_lt(a: i8, b: i8) -> bool { // # Returns // * `bool` - `true` if `a` is less than or equal to `b`, `false` otherwise. fn i8_le(a: i8, b: i8) -> bool { - if (a == b | i8_lt(a, b) == true) { + if ((a == b) | (i8_lt(a, b) == true)) { return true; } else { return false; @@ -413,7 +413,7 @@ fn i8_le(a: i8, b: i8) -> bool { // # Returns // * `bool` - `true` if `a` is greater than or equal to `b`, `false` otherwise. fn i8_ge(a: i8, b: i8) -> bool { - if (a == b | i8_gt(a, b) == true) { + if ((a == b) | (i8_gt(a, b) == true)) { return true; } else { return false; diff --git a/src/operators/nn/core.cairo b/src/operators/nn/core.cairo index 0a973a745..da3c02120 100644 --- a/src/operators/nn/core.cairo +++ b/src/operators/nn/core.cairo @@ -37,7 +37,7 @@ trait NNTrait { /// /// ```rust /// use orion::operators::nn::core::NNTrait; - /// use orion::operators::nn::implementations::impl_nn_i32; + /// use orion::operators::nn::implementations::impl_nn_i32::NN_i32; /// /// fn relu_example() -> Tensor { /// // We instantiate a 2D Tensor here and set threshold to 0. @@ -77,7 +77,7 @@ trait NNTrait { /// /// ```rust /// use orion::operators::nn::core::NNTrait; - /// use orion::operators::nn::implementations::impl_nn_u32; + /// use orion::operators::nn::implementations::impl_nn_u32::NN_u32; /// /// fn softmax_example() -> Tensor { /// // We instantiate a 2D Tensor here. @@ -118,7 +118,7 @@ trait NNTrait { /// /// ```rust /// use orion::operators::nn::core::NNTrait; - /// use orion::operators::nn::implementations::impl_nn_u32; + /// use orion::operators::nn::implementations::impl_nn_u32::NN_u32; /// /// fn logsoftmax_example() -> Tensor { /// // We instantiate a 2D Tensor here. @@ -164,7 +164,7 @@ trait NNTrait { /// /// ```rust /// use orion::operators::nn::core::NNTrait; - /// use orion::operators::nn::implementations::impl_nn_u32; + /// use orion::operators::nn::implementations::impl_nn_u32::NN_u32; /// /// fn sigmoid_example() -> Tensor { /// // We instantiate a 2D Tensor here. @@ -204,7 +204,7 @@ trait NNTrait { /// /// ```rust /// use orion::operators::nn::core::NNTrait; - /// use orion::operators::nn::implementations::impl_nn_u32; + /// use orion::operators::nn::implementations::impl_nn_u32::NN_u32; /// /// fn softsign_example() -> Tensor { /// // We instantiate a 2D Tensor here. @@ -244,7 +244,7 @@ trait NNTrait { /// /// ```rust /// use orion::operators::nn::core::NNTrait; - /// use orion::operators::nn::implementations::impl_nn_u32; + /// use orion::operators::nn::implementations::impl_nn_u32::NN_u32; /// /// fn softplus_example() -> Tensor { /// // We instantiate a 2D Tensor here. @@ -287,7 +287,7 @@ trait NNTrait { /// /// ```rust /// use orion::operators::nn::core::NNTrait; - /// use orion::operators::nn::implementations::impl_nn_i32; + /// use orion::operators::nn::implementations::impl_nn_i32::NN_i32; /// /// fn linear_layer_example() -> Tensor { /// // We instantiate inputs here. @@ -335,7 +335,7 @@ trait NNTrait { /// /// ```rust /// use orion::operators::nn::core::NNTrait; - /// use orion::operators::nn::implementations::impl_nn_i32; + /// use orion::operators::nn::implementations::impl_nn_i32::NN_i32; /// /// fn leaky_relu_example() -> Tensor { /// // We instantiate a 2D Tensor here, the alpha and set threshold to 0. diff --git a/src/operators/nn/functional/leaky_relu/leaky_relu_i32/fp16x16.cairo b/src/operators/nn/functional/leaky_relu/leaky_relu_i32/fp16x16.cairo index 6b161c5e6..4f7ed92cb 100644 --- a/src/operators/nn/functional/leaky_relu/leaky_relu_i32/fp16x16.cairo +++ b/src/operators/nn/functional/leaky_relu/leaky_relu_i32/fp16x16.cairo @@ -4,18 +4,16 @@ use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, ONE, FP16x16Mul}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; /// Cf: NNTrait::leaky_relu docstring -fn leaky_relu( - z: @Tensor, alpha: @FixedType, threshold: i32 -) -> Tensor { - assert(*alpha.mag < impl_16x16::ONE, 'alpha must be less than 1_fp'); +fn leaky_relu(z: @Tensor, alpha: @FixedType, threshold: i32) -> Tensor { + assert(*alpha.mag < ONE, 'alpha must be less than 1_fp'); let mut data_result = ArrayTrait::::new(); let mut data = *z.data; diff --git a/src/operators/nn/functional/leaky_relu/leaky_relu_i32/fp8x23.cairo b/src/operators/nn/functional/leaky_relu/leaky_relu_i32/fp8x23.cairo index 7e8ee0ebb..ebfc3ea48 100644 --- a/src/operators/nn/functional/leaky_relu/leaky_relu_i32/fp8x23.cairo +++ b/src/operators/nn/functional/leaky_relu/leaky_relu_i32/fp8x23.cairo @@ -4,17 +4,15 @@ use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, ONE, FP8x23Mul}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; /// Cf: NNTrait::leaky_relu docstring -fn leaky_relu( - z: @Tensor, alpha: @FixedType, threshold: i32 -) -> Tensor { - assert(*alpha.mag < impl_8x23::ONE, 'alpha must be less than 1_fp'); +fn leaky_relu(z: @Tensor, alpha: @FixedType, threshold: i32) -> Tensor { + assert(*alpha.mag < ONE, 'alpha must be less than 1_fp'); let mut data_result = ArrayTrait::::new(); let mut data = *z.data; diff --git a/src/operators/nn/functional/leaky_relu/leaky_relu_u32/fp16x16.cairo b/src/operators/nn/functional/leaky_relu/leaky_relu_u32/fp16x16.cairo index d3ef8dc6e..dc3dce52b 100644 --- a/src/operators/nn/functional/leaky_relu/leaky_relu_u32/fp16x16.cairo +++ b/src/operators/nn/functional/leaky_relu/leaky_relu_u32/fp16x16.cairo @@ -4,14 +4,14 @@ use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_16x16; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, ONE, FP16x16Mul}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; /// Cf: NNTrait::leaky_relu docstring fn leaky_relu(z: @Tensor, alpha: @FixedType, threshold: u32) -> Tensor { - assert(*alpha.mag < impl_16x16::ONE, 'alpha must be less than 1_fp'); + assert(*alpha.mag < ONE, 'alpha must be less than 1_fp'); let mut data_result = ArrayTrait::::new(); let mut data = *z.data; diff --git a/src/operators/nn/functional/leaky_relu/leaky_relu_u32/fp8x23.cairo b/src/operators/nn/functional/leaky_relu/leaky_relu_u32/fp8x23.cairo index 511bbda3b..f58321219 100644 --- a/src/operators/nn/functional/leaky_relu/leaky_relu_u32/fp8x23.cairo +++ b/src/operators/nn/functional/leaky_relu/leaky_relu_u32/fp8x23.cairo @@ -4,14 +4,14 @@ use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_8x23; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, ONE, FP8x23Mul}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; /// Cf: NNTrait::leaky_relu docstring fn leaky_relu(z: @Tensor, alpha: @FixedType, threshold: u32) -> Tensor { - assert(*alpha.mag < impl_8x23::ONE, 'alpha must be less than 1_fp'); + assert(*alpha.mag < ONE, 'alpha must be less than 1_fp'); let mut data_result = ArrayTrait::::new(); let mut data = *z.data; diff --git a/src/operators/nn/functional/linear/linear_i32.cairo b/src/operators/nn/functional/linear/linear_i32.cairo index 98f6a38ac..a8c58f4f5 100644 --- a/src/operators/nn/functional/linear/linear_i32.cairo +++ b/src/operators/nn/functional/linear/linear_i32.cairo @@ -2,9 +2,9 @@ use array::SpanTrait; use orion::numbers::signed_integer::i32::i32; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::{Tensor_i32, i32TensorAdd}; use orion::performance::core::PerfomanceTrait; -use orion::performance::implementations::impl_performance_i32; +use orion::performance::implementations::impl_performance_i32::Performance_i32; /// Cf: NNTrait::linear docstring fn linear_i32( diff --git a/src/operators/nn/functional/linear/linear_u32.cairo b/src/operators/nn/functional/linear/linear_u32.cairo index a296c54d2..73a3a9254 100644 --- a/src/operators/nn/functional/linear/linear_u32.cairo +++ b/src/operators/nn/functional/linear/linear_u32.cairo @@ -1,9 +1,9 @@ use array::SpanTrait; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::{Tensor_u32, u32TensorAdd}; use orion::performance::core::PerfomanceTrait; -use orion::performance::implementations::impl_performance_u32; +use orion::performance::implementations::impl_performance_u32::Performance_i32; /// Cf: NNTrait::linear docstring fn linear_u32( diff --git a/src/operators/nn/functional/logsoftmax/logsoftmax_i32.cairo b/src/operators/nn/functional/logsoftmax/logsoftmax_i32.cairo index d7ae6a42e..8509ac337 100644 --- a/src/operators/nn/functional/logsoftmax/logsoftmax_i32.cairo +++ b/src/operators/nn/functional/logsoftmax/logsoftmax_i32.cairo @@ -1,7 +1,8 @@ use orion::numbers::signed_integer::i32::i32; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::{impl_tensor_i32, impl_tensor_fp}; - +use orion::operators::tensor::implementations::{ + impl_tensor_i32::Tensor_i32, impl_tensor_fp::{Tensor_fp, FixedTypeTensorDiv} +}; use orion::numbers::fixed_point::core::FixedType; /// Cf: NNTrait::logsoftmax docstring @@ -12,4 +13,4 @@ fn logsoftmax_i32(z: @Tensor, axis: usize) -> Tensor { let logsoftmax = softmax.ln(); return logsoftmax; -} \ No newline at end of file +} diff --git a/src/operators/nn/functional/logsoftmax/logsoftmax_u32.cairo b/src/operators/nn/functional/logsoftmax/logsoftmax_u32.cairo index 7c77857c7..fb86fcec7 100644 --- a/src/operators/nn/functional/logsoftmax/logsoftmax_u32.cairo +++ b/src/operators/nn/functional/logsoftmax/logsoftmax_u32.cairo @@ -1,6 +1,7 @@ use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::{impl_tensor_u32, impl_tensor_fp}; - +use orion::operators::tensor::implementations::{ + impl_tensor_u32::Tensor_u32, impl_tensor_fp::{Tensor_fp, FixedTypeTensorDiv} +}; use orion::numbers::fixed_point::core::FixedType; /// Cf: NNTrait::logsoftmax docstring @@ -11,4 +12,4 @@ fn logsoftmax_u32(z: @Tensor, axis: usize) -> Tensor { let logsoftmax = softmax.ln(); return logsoftmax; -} \ No newline at end of file +} diff --git a/src/operators/nn/functional/relu/relu_i32.cairo b/src/operators/nn/functional/relu/relu_i32.cairo index 32014deac..0af290737 100644 --- a/src/operators/nn/functional/relu/relu_i32.cairo +++ b/src/operators/nn/functional/relu/relu_i32.cairo @@ -4,7 +4,7 @@ use option::OptionTrait; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::utils::check_gas; /// Cf: NNTrait::relu docstring diff --git a/src/operators/nn/functional/relu/relu_u32.cairo b/src/operators/nn/functional/relu/relu_u32.cairo index b6273f87f..bce10ec3e 100644 --- a/src/operators/nn/functional/relu/relu_u32.cairo +++ b/src/operators/nn/functional/relu/relu_u32.cairo @@ -3,7 +3,7 @@ use array::SpanTrait; use option::OptionTrait; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::utils::check_gas; /// Cf: NNTrait::relu docstring diff --git a/src/operators/nn/functional/sigmoid/sigmoid_i32/fp16x16.cairo b/src/operators/nn/functional/sigmoid/sigmoid_i32/fp16x16.cairo index fdd752812..1e97860c6 100644 --- a/src/operators/nn/functional/sigmoid/sigmoid_i32/fp16x16.cairo +++ b/src/operators/nn/functional/sigmoid/sigmoid_i32/fp16x16.cairo @@ -5,10 +5,9 @@ use array::SpanTrait; use option::OptionTrait; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Add, FP16x16Div}; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp;use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; use orion::utils::check_gas; /// Cf: NNTrait::sigmoid docstring diff --git a/src/operators/nn/functional/sigmoid/sigmoid_i32/fp8x23.cairo b/src/operators/nn/functional/sigmoid/sigmoid_i32/fp8x23.cairo index 554fa2188..0a0ddf1df 100644 --- a/src/operators/nn/functional/sigmoid/sigmoid_i32/fp8x23.cairo +++ b/src/operators/nn/functional/sigmoid/sigmoid_i32/fp8x23.cairo @@ -4,9 +4,9 @@ use array::SpanTrait; use option::OptionTrait; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Add, FP8x23Div}; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; use orion::utils::check_gas; diff --git a/src/operators/nn/functional/sigmoid/sigmoid_u32/fp16x16.cairo b/src/operators/nn/functional/sigmoid/sigmoid_u32/fp16x16.cairo index aa36cd536..862777e8a 100644 --- a/src/operators/nn/functional/sigmoid/sigmoid_u32/fp16x16.cairo +++ b/src/operators/nn/functional/sigmoid/sigmoid_u32/fp16x16.cairo @@ -3,9 +3,9 @@ use array::ArrayTrait; use array::SpanTrait; use option::OptionTrait; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Add, FP16x16Div}; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; use orion::utils::check_gas; diff --git a/src/operators/nn/functional/sigmoid/sigmoid_u32/fp8x23.cairo b/src/operators/nn/functional/sigmoid/sigmoid_u32/fp8x23.cairo index 167b7f287..28aa97838 100644 --- a/src/operators/nn/functional/sigmoid/sigmoid_u32/fp8x23.cairo +++ b/src/operators/nn/functional/sigmoid/sigmoid_u32/fp8x23.cairo @@ -3,9 +3,9 @@ use array::ArrayTrait; use array::SpanTrait; use option::OptionTrait; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Add, FP8x23Div}; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; use orion::utils::check_gas; diff --git a/src/operators/nn/functional/softmax/softmax_i32.cairo b/src/operators/nn/functional/softmax/softmax_i32.cairo index 8f247d795..074f65f30 100644 --- a/src/operators/nn/functional/softmax/softmax_i32.cairo +++ b/src/operators/nn/functional/softmax/softmax_i32.cairo @@ -1,7 +1,8 @@ use orion::numbers::signed_integer::i32::i32; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::{impl_tensor_i32, impl_tensor_fp}; - +use orion::operators::tensor::implementations::{ + impl_tensor_i32::Tensor_i32, impl_tensor_fp::{Tensor_fp, FixedTypeTensorDiv} +}; use orion::numbers::fixed_point::core::FixedType; /// Cf: NNTrait::softmax docstring diff --git a/src/operators/nn/functional/softmax/softmax_u32.cairo b/src/operators/nn/functional/softmax/softmax_u32.cairo index 62ff7b01d..1339308dd 100644 --- a/src/operators/nn/functional/softmax/softmax_u32.cairo +++ b/src/operators/nn/functional/softmax/softmax_u32.cairo @@ -1,6 +1,7 @@ use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::{impl_tensor_u32, impl_tensor_fp}; - +use orion::operators::tensor::implementations::{ + impl_tensor_u32::Tensor_u32, impl_tensor_fp::{Tensor_fp, FixedTypeTensorDiv} +}; use orion::numbers::fixed_point::core::FixedType; diff --git a/src/operators/nn/functional/softplus/softplus_i32/fp16x16.cairo b/src/operators/nn/functional/softplus/softplus_i32/fp16x16.cairo index 317349cf6..3225d52c8 100644 --- a/src/operators/nn/functional/softplus/softplus_i32/fp16x16.cairo +++ b/src/operators/nn/functional/softplus/softplus_i32/fp16x16.cairo @@ -5,9 +5,9 @@ use option::OptionTrait; use orion::numbers::signed_integer::i32::i32; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::{impl_tensor_fp}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Add, FP16x16Div}; use orion::utils::check_gas; /// Cf: NNTrait::softplus docstring diff --git a/src/operators/nn/functional/softplus/softplus_i32/fp8x23.cairo b/src/operators/nn/functional/softplus/softplus_i32/fp8x23.cairo index 0fab7ddac..f392049e4 100644 --- a/src/operators/nn/functional/softplus/softplus_i32/fp8x23.cairo +++ b/src/operators/nn/functional/softplus/softplus_i32/fp8x23.cairo @@ -5,9 +5,9 @@ use option::OptionTrait; use orion::numbers::signed_integer::i32::i32; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::{impl_tensor_fp}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Add, FP8x23Div}; use orion::utils::check_gas; diff --git a/src/operators/nn/functional/softplus/softplus_u32/fp16x16.cairo b/src/operators/nn/functional/softplus/softplus_u32/fp16x16.cairo index f0eab49b6..b4bfed025 100644 --- a/src/operators/nn/functional/softplus/softplus_u32/fp16x16.cairo +++ b/src/operators/nn/functional/softplus/softplus_u32/fp16x16.cairo @@ -5,9 +5,9 @@ use array::SpanTrait; use option::OptionTrait; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::{impl_tensor_fp}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Add, FP16x16Div}; use orion::utils::check_gas; diff --git a/src/operators/nn/functional/softplus/softplus_u32/fp8x23.cairo b/src/operators/nn/functional/softplus/softplus_u32/fp8x23.cairo index d85fce795..e7712fb7d 100644 --- a/src/operators/nn/functional/softplus/softplus_u32/fp8x23.cairo +++ b/src/operators/nn/functional/softplus/softplus_u32/fp8x23.cairo @@ -5,9 +5,9 @@ use array::SpanTrait; use option::OptionTrait; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::{impl_tensor_fp}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Add, FP8x23Div}; use orion::utils::check_gas; diff --git a/src/operators/nn/functional/softsign/softsign_i32/fp16x16.cairo b/src/operators/nn/functional/softsign/softsign_i32/fp16x16.cairo index 63632a364..63c5f4903 100644 --- a/src/operators/nn/functional/softsign/softsign_i32/fp16x16.cairo +++ b/src/operators/nn/functional/softsign/softsign_i32/fp16x16.cairo @@ -5,9 +5,9 @@ use option::OptionTrait; use orion::numbers::signed_integer::i32::i32; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::{impl_tensor_fp}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Add, FP16x16Div}; use orion::utils::check_gas; diff --git a/src/operators/nn/functional/softsign/softsign_i32/fp8x23.cairo b/src/operators/nn/functional/softsign/softsign_i32/fp8x23.cairo index 443bdc973..980757ead 100644 --- a/src/operators/nn/functional/softsign/softsign_i32/fp8x23.cairo +++ b/src/operators/nn/functional/softsign/softsign_i32/fp8x23.cairo @@ -5,9 +5,9 @@ use option::OptionTrait; use orion::numbers::signed_integer::i32::i32; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::{impl_tensor_fp}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Add, FP8x23Div}; use orion::utils::check_gas; diff --git a/src/operators/nn/functional/softsign/softsign_u32/fp16x16.cairo b/src/operators/nn/functional/softsign/softsign_u32/fp16x16.cairo index 375be2b72..601df84e4 100644 --- a/src/operators/nn/functional/softsign/softsign_u32/fp16x16.cairo +++ b/src/operators/nn/functional/softsign/softsign_u32/fp16x16.cairo @@ -4,9 +4,9 @@ use array::SpanTrait; use option::OptionTrait; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::{impl_tensor_fp}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Add, FP16x16Div}; use orion::utils::check_gas; /// Cf: NNTrait::softsign docstring diff --git a/src/operators/nn/functional/softsign/softsign_u32/fp8x23.cairo b/src/operators/nn/functional/softsign/softsign_u32/fp8x23.cairo index f65b11452..45d11ce0c 100644 --- a/src/operators/nn/functional/softsign/softsign_u32/fp8x23.cairo +++ b/src/operators/nn/functional/softsign/softsign_u32/fp8x23.cairo @@ -4,9 +4,9 @@ use array::SpanTrait; use option::OptionTrait; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::{impl_tensor_fp}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Add, FP8x23Div}; use orion::utils::check_gas; /// Cf: NNTrait::softsign docstring diff --git a/src/operators/tensor/helpers.cairo b/src/operators/tensor/helpers.cairo index 089fbd098..fb0383fba 100644 --- a/src/operators/tensor/helpers.cairo +++ b/src/operators/tensor/helpers.cairo @@ -65,7 +65,7 @@ fn check_compatibility(mut shape_1: Span, mut shape_2: Span) { let shape_2_val = *shape_2.pop_front().unwrap(); assert( - shape_1_val == shape_2_val | shape_1_val == 1 | shape_2_val == 1, + (shape_1_val == shape_2_val) | (shape_1_val == 1) | (shape_2_val == 1), 'tensors shape must match' ); }; @@ -291,7 +291,7 @@ fn broadcast_shape(mut shape1: Span, mut shape2: Span) -> Span { } /// Implements addition for `Tensor` using the `Add` trait. -impl U32TensorAdd of Add> { +impl u32TensorAdd of Add> { /// Adds two `Tensor` instances element-wise. /// /// # Arguments @@ -136,7 +136,7 @@ impl U32TensorAdd of Add> { } /// Implements subtraction for `Tensor` using the `Sub` trait. -impl U32TensorSub of Sub> { +impl u32TensorSub of Sub> { /// Subtracts two `Tensor` instances element-wise. /// /// # Arguments @@ -151,7 +151,7 @@ impl U32TensorSub of Sub> { } /// Implements multiplication for `Tensor` using the `Mul` trait. -impl U32TensorMul of Mul> { +impl u32TensorMul of Mul> { /// Multiplies two `Tensor` instances element-wise. /// /// # Arguments @@ -166,7 +166,7 @@ impl U32TensorMul of Mul> { } /// Implements division for `Tensor` using the `Div` trait. -impl U32TensorDiv of Div> { +impl u32TensorDiv of Div> { /// Divides two `Tensor` instances element-wise. /// /// # Arguments diff --git a/src/operators/tensor/linalg/matmul/helpers.cairo b/src/operators/tensor/linalg/matmul/helpers.cairo index f6e956a30..896da3ffa 100644 --- a/src/operators/tensor/linalg/matmul/helpers.cairo +++ b/src/operators/tensor/linalg/matmul/helpers.cairo @@ -24,7 +24,7 @@ use orion::utils::check_gas; fn prepare_shape_for_matmul(mut shape: Span, is_first_tensor: bool) -> Span { let ndim = shape.len(); - if ndim == 1 & is_first_tensor { + if (ndim == 1) & is_first_tensor { // Prepend 1 to shape if it's 1-dimensional let mut shape_adjusted = ArrayTrait::new(); shape_adjusted.append(1); @@ -37,7 +37,7 @@ fn prepare_shape_for_matmul(mut shape: Span, is_first_tensor: bool) -> Sp }; return shape_adjusted.span(); - } else if ndim == 1 & !is_first_tensor { + } else if (ndim == 1) & !is_first_tensor { // Append 1 to shape if it's 1-dimensional let mut shape_adjusted = ArrayTrait::new(); loop { diff --git a/src/operators/tensor/linalg/matmul/matmul_fp/fp16x16.cairo b/src/operators/tensor/linalg/matmul/matmul_fp/fp16x16.cairo index 99aec2a6b..8f072a60d 100644 --- a/src/operators/tensor/linalg/matmul/matmul_fp/fp16x16.cairo +++ b/src/operators/tensor/linalg/matmul/matmul_fp/fp16x16.cairo @@ -3,9 +3,10 @@ use array::SpanTrait; use option::OptionTrait; use orion::utils::check_gas; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::numbers::fixed_point::implementations::impl_16x16; - +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16Mul, FP16x16AddEq +}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::operators::tensor::core::{Tensor, ExtraParams, TensorTrait}; use orion::operators::tensor::linalg::matmul::helpers::{ @@ -19,10 +20,10 @@ fn matmul(self: @Tensor, other: @Tensor) -> Tensor, other: @Tensor) -> Tensor, other: @Tensor) -> Tensor { let self_ndim = (self_shape).len(); let other_ndim = (other_shape).len(); - assert(self_ndim <= 2 | other_ndim <= 2, 'supports only 1D and 2D matmul'); + assert((self_ndim <= 2) | (other_ndim <= 2), 'supports only 1D and 2D matmul'); //! Case: Both tensors are 1-dimensional - if self_ndim == 1 & other_ndim == 1 { + if (self_ndim == 1) & (other_ndim == 1) { let dot = dot_product((*self).data, (*other).data); let mut result_shape = ArrayTrait::new(); let mut result_data = ArrayTrait::new(); diff --git a/src/operators/tensor/linalg/matmul/matmul_u32.cairo b/src/operators/tensor/linalg/matmul/matmul_u32.cairo index 26bd4f1b1..ba9e1c95a 100644 --- a/src/operators/tensor/linalg/matmul/matmul_u32.cairo +++ b/src/operators/tensor/linalg/matmul/matmul_u32.cairo @@ -3,7 +3,7 @@ use array::SpanTrait; use option::OptionTrait; use orion::utils::check_gas; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, ExtraParams, TensorTrait, }; use orion::operators::tensor::linalg::matmul::helpers::{ prepare_shape_for_matmul, adjust_output_shape_after_matmul @@ -16,10 +16,10 @@ fn matmul(self: @Tensor, other: @Tensor) -> Tensor { let self_ndim = (self_shape).len(); let other_ndim = (other_shape).len(); - assert(self_ndim <= 2 | other_ndim <= 2, 'supports only 1D and 2D matmul'); + assert((self_ndim <= 2) | (other_ndim <= 2), 'supports only 1D and 2D matmul'); //! Case: Both tensors are 1-dimensional - if self_ndim == 1 & other_ndim == 1 { + if (self_ndim == 1) & (other_ndim == 1) { let dot = dot_product((*self).data, (*other).data); let mut result_shape = ArrayTrait::new(); let mut result_data = ArrayTrait::new(); diff --git a/src/operators/tensor/linalg/transpose/transpose_fp/core.cairo b/src/operators/tensor/linalg/transpose/transpose_fp/core.cairo index 3a37d8bf1..978b9066f 100644 --- a/src/operators/tensor/linalg/transpose/transpose_fp/core.cairo +++ b/src/operators/tensor/linalg/transpose/transpose_fp/core.cairo @@ -1,6 +1,6 @@ use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; use orion::operators::tensor::core::Tensor; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::operators::tensor::linalg::transpose::transpose_fp::fp8x23; use orion::operators::tensor::linalg::transpose::transpose_fp::fp16x16; use orion::utils::check_gas; diff --git a/src/operators/tensor/linalg/transpose/transpose_fp/fp16x16.cairo b/src/operators/tensor/linalg/transpose/transpose_fp/fp16x16.cairo index 02c3f1906..9a01aae5b 100644 --- a/src/operators/tensor/linalg/transpose/transpose_fp/fp16x16.cairo +++ b/src/operators/tensor/linalg/transpose/transpose_fp/fp16x16.cairo @@ -6,8 +6,8 @@ use orion::operators::tensor::core::{ new_tensor, stride, Tensor, TensorTrait, ravel_index, unravel_index, reshape }; use orion::operators::tensor::helpers::{len_from_shape, find_axis, permutation_output_shape}; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; use orion::utils::check_gas; /// Cf: TensorTrait::transpose docstring diff --git a/src/operators/tensor/linalg/transpose/transpose_fp/fp8x23.cairo b/src/operators/tensor/linalg/transpose/transpose_fp/fp8x23.cairo index 777527df4..b5f8aea4c 100644 --- a/src/operators/tensor/linalg/transpose/transpose_fp/fp8x23.cairo +++ b/src/operators/tensor/linalg/transpose/transpose_fp/fp8x23.cairo @@ -6,8 +6,8 @@ use orion::operators::tensor::core::{ new_tensor, stride, Tensor, TensorTrait, ravel_index, unravel_index, reshape }; use orion::operators::tensor::helpers::{len_from_shape, find_axis, permutation_output_shape}; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::utils::check_gas; /// Cf: TensorTrait::transpose docstring diff --git a/src/operators/tensor/linalg/transpose/transpose_i32.cairo b/src/operators/tensor/linalg/transpose/transpose_i32.cairo index 80e8c7da5..76d42644f 100644 --- a/src/operators/tensor/linalg/transpose/transpose_i32.cairo +++ b/src/operators/tensor/linalg/transpose/transpose_i32.cairo @@ -6,7 +6,7 @@ use orion::operators::tensor::core::{ new_tensor, stride, Tensor, TensorTrait, ravel_index, unravel_index, reshape }; use orion::operators::tensor::helpers::{len_from_shape, find_axis, permutation_output_shape}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::utils::check_gas; /// Cf: TensorTrait::transpose docstring diff --git a/src/operators/tensor/linalg/transpose/transpose_u32.cairo b/src/operators/tensor/linalg/transpose/transpose_u32.cairo index 3dc14aa65..e6a777d68 100644 --- a/src/operators/tensor/linalg/transpose/transpose_u32.cairo +++ b/src/operators/tensor/linalg/transpose/transpose_u32.cairo @@ -5,7 +5,7 @@ use orion::operators::tensor::core::{ new_tensor, stride, Tensor, TensorTrait, ravel_index, unravel_index, reshape }; use orion::operators::tensor::helpers::{len_from_shape, find_axis, permutation_output_shape}; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::utils::check_gas; /// Cf: TensorTrait::transpose docstring diff --git a/src/operators/tensor/math/abs/abs_fp/core.cairo b/src/operators/tensor/math/abs/abs_fp/core.cairo index a999b562b..cb38af55a 100644 --- a/src/operators/tensor/math/abs/abs_fp/core.cairo +++ b/src/operators/tensor/math/abs/abs_fp/core.cairo @@ -1,5 +1,5 @@ use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::operators::tensor::math::abs::abs_fp::fp8x23; use orion::operators::tensor::math::abs::abs_fp::fp16x16; diff --git a/src/operators/tensor/math/abs/abs_fp/fp16x16.cairo b/src/operators/tensor/math/abs/abs_fp/fp16x16.cairo index 1f0237189..745b1ca35 100644 --- a/src/operators/tensor/math/abs/abs_fp/fp16x16.cairo +++ b/src/operators/tensor/math/abs/abs_fp/fp16x16.cairo @@ -3,9 +3,8 @@ use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; diff --git a/src/operators/tensor/math/abs/abs_fp/fp8x23.cairo b/src/operators/tensor/math/abs/abs_fp/fp8x23.cairo index 15f25a296..2c109ae5c 100644 --- a/src/operators/tensor/math/abs/abs_fp/fp8x23.cairo +++ b/src/operators/tensor/math/abs/abs_fp/fp8x23.cairo @@ -3,9 +3,8 @@ use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; diff --git a/src/operators/tensor/math/abs/abs_i32.cairo b/src/operators/tensor/math/abs/abs_i32.cairo index ce6a8b4d0..03067de39 100644 --- a/src/operators/tensor/math/abs/abs_i32.cairo +++ b/src/operators/tensor/math/abs/abs_i32.cairo @@ -2,7 +2,7 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; diff --git a/src/operators/tensor/math/argmax/argmax_fp/fp16x16.cairo b/src/operators/tensor/math/argmax/argmax_fp/fp16x16.cairo index 5dd17b5c8..046933cc1 100644 --- a/src/operators/tensor/math/argmax/argmax_fp/fp16x16.cairo +++ b/src/operators/tensor/math/argmax/argmax_fp/fp16x16.cairo @@ -2,9 +2,10 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::numbers::fixed_point::implementations::impl_16x16; - -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16PartialOrd, FP16x16PartialEq, MIN_MAG +}; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index, unravel_index}; use orion::operators::tensor::helpers::{reduce_output_shape, len_from_shape, combine_indices}; use orion::operators::tensor::math::argmax::helpers::{find_argmax_1D, find_argmax}; @@ -12,12 +13,8 @@ use orion::utils::check_gas; /// Cf: TensorTrait::argmax docstring fn argmax( - self: @Tensor, - axis: usize, - keepdims: Option, - select_last_index:Option - ) -> Tensor { - + self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option +) -> Tensor { let keepdims = match keepdims { Option::Some(val) => val, Option::None(_) => true, @@ -29,8 +26,8 @@ fn argmax( }; assert(axis <= (*self.shape).len(), 'axis out of dimensions'); - - if (*self.shape).len() == 1 { + + if (*self.shape).len() == 1 { return find_argmax_1D(self, axis, true, select_last_index); } @@ -38,17 +35,15 @@ fn argmax( let output_shape = reduce_output_shape(*self.shape, axis, false); let output_data_len = len_from_shape(output_shape); - - let MIN = FixedTrait::new(impl_16x16::MIN_MAG, true); + + let MIN = FixedTrait::new(MIN_MAG, true); let mut index: usize = 0; loop { check_gas(); let output_indices = unravel_index(index, output_shape); - let current_argmax = find_argmax( - self, output_indices, axis, 0, MIN, 0, select_last_index - ); + let current_argmax = find_argmax(self, output_indices, axis, 0, MIN, 0, select_last_index); output_data.append(current_argmax); @@ -58,5 +53,7 @@ fn argmax( }; }; - return TensorTrait::::new(reduce_output_shape(*self.shape, axis, keepdims), output_data.span(), *self.extra); + return TensorTrait::::new( + reduce_output_shape(*self.shape, axis, keepdims), output_data.span(), *self.extra + ); } diff --git a/src/operators/tensor/math/argmax/argmax_fp/fp8x23.cairo b/src/operators/tensor/math/argmax/argmax_fp/fp8x23.cairo index 9e0b2fd56..bcee3b4fc 100644 --- a/src/operators/tensor/math/argmax/argmax_fp/fp8x23.cairo +++ b/src/operators/tensor/math/argmax/argmax_fp/fp8x23.cairo @@ -2,9 +2,10 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::numbers::fixed_point::implementations::impl_8x23; - -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::numbers::fixed_point::implementations::impl_8x23::{ + FP8x23Impl, FP8x23PartialOrd, FP8x23PartialEq, MIN_MAG +}; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index, unravel_index}; use orion::operators::tensor::helpers::{reduce_output_shape, len_from_shape, combine_indices}; use orion::operators::tensor::math::argmax::helpers::{find_argmax_1D, find_argmax}; @@ -12,12 +13,8 @@ use orion::utils::check_gas; /// Cf: TensorTrait::argmax docstring fn argmax( - self: @Tensor, - axis: usize, - keepdims: Option, - select_last_index:Option - ) -> Tensor { - + self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option +) -> Tensor { let keepdims = match keepdims { Option::Some(val) => val, Option::None(_) => true @@ -29,8 +26,8 @@ fn argmax( }; assert(axis <= (*self.shape).len(), 'axis out of dimensions'); - - if (*self.shape).len() == 1 { + + if (*self.shape).len() == 1 { return find_argmax_1D(self, axis, true, select_last_index); } @@ -38,17 +35,15 @@ fn argmax( let output_shape = reduce_output_shape(*self.shape, axis, false); let output_data_len = len_from_shape(output_shape); - - let MIN = FixedTrait::new(impl_8x23::MIN_MAG, true); + + let MIN = FixedTrait::new(MIN_MAG, true); let mut index: usize = 0; loop { check_gas(); let output_indices = unravel_index(index, output_shape); - let current_argmax = find_argmax( - self, output_indices, axis, 0, MIN, 0, select_last_index - ); + let current_argmax = find_argmax(self, output_indices, axis, 0, MIN, 0, select_last_index); output_data.append(current_argmax); @@ -58,5 +53,7 @@ fn argmax( }; }; - return TensorTrait::::new(reduce_output_shape(*self.shape, axis, keepdims), output_data.span(), *self.extra); + return TensorTrait::::new( + reduce_output_shape(*self.shape, axis, keepdims), output_data.span(), *self.extra + ); } diff --git a/src/operators/tensor/math/argmax/argmax_i32.cairo b/src/operators/tensor/math/argmax/argmax_i32.cairo index cd2599d77..f91d1bb33 100644 --- a/src/operators/tensor/math/argmax/argmax_i32.cairo +++ b/src/operators/tensor/math/argmax/argmax_i32.cairo @@ -2,7 +2,7 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::implementations::{impl_tensor_i32, impl_tensor_u32}; +use orion::operators::tensor::implementations::{impl_tensor_i32, impl_tensor_u32::Tensor_u32}; use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index, unravel_index}; use orion::operators::tensor::helpers::{reduce_output_shape, len_from_shape, combine_indices}; use orion::operators::tensor::math::argmax::helpers::{find_argmax_1D, find_argmax}; @@ -10,12 +10,8 @@ use orion::utils::check_gas; /// Cf: TensorTrait::argmax docstring fn argmax( - self: @Tensor, - axis: usize, - keepdims: Option, - select_last_index:Option - ) -> Tensor { - + self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option +) -> Tensor { let keepdims = match keepdims { Option::Some(val) => val, Option::None(_) => true, @@ -25,10 +21,10 @@ fn argmax( Option::Some(val) => val, Option::None(_) => false, }; - + assert(axis <= (*self.shape).len(), 'axis out of dimensions'); - - if (*self.shape).len() == 1 { + + if (*self.shape).len() == 1 { return find_argmax_1D(self, axis, true, select_last_index); } @@ -44,10 +40,7 @@ fn argmax( check_gas(); let output_indices = unravel_index(index, output_shape); - let current_argmax = find_argmax( - self, output_indices, axis, 0, MIN , 0, select_last_index - - ); + let current_argmax = find_argmax(self, output_indices, axis, 0, MIN, 0, select_last_index); output_data.append(current_argmax); @@ -57,5 +50,7 @@ fn argmax( }; }; - return TensorTrait::::new(reduce_output_shape(*self.shape, axis, keepdims), output_data.span(), *self.extra); + return TensorTrait::::new( + reduce_output_shape(*self.shape, axis, keepdims), output_data.span(), *self.extra + ); } diff --git a/src/operators/tensor/math/argmax/argmax_u32.cairo b/src/operators/tensor/math/argmax/argmax_u32.cairo index 72cb38617..60fb0ef17 100644 --- a/src/operators/tensor/math/argmax/argmax_u32.cairo +++ b/src/operators/tensor/math/argmax/argmax_u32.cairo @@ -1,7 +1,7 @@ use array::ArrayTrait; use array::SpanTrait; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index, unravel_index}; use orion::operators::tensor::helpers::{reduce_output_shape, len_from_shape, combine_indices}; use orion::operators::tensor::math::argmax::helpers::{find_argmax_1D, find_argmax}; @@ -9,12 +9,8 @@ use orion::utils::check_gas; /// Cf: TensorTrait::argmax docstring fn argmax( - self: @Tensor, - axis: usize, - keepdims: Option, - select_last_index:Option - ) -> Tensor { - + self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option +) -> Tensor { let keepdims = match keepdims { Option::Some(val) => val, Option::None(_) => true, @@ -24,10 +20,10 @@ fn argmax( Option::Some(val) => val, Option::None(_) => false, }; - + assert(axis <= (*self.shape).len(), 'axis out of dimensions'); - if (*self.shape).len() == 1 { + if (*self.shape).len() == 1 { return find_argmax_1D(self, axis, true, select_last_index); } @@ -41,9 +37,7 @@ fn argmax( check_gas(); let output_indices = unravel_index(index, output_shape); - let current_argmax = find_argmax( - self, output_indices, axis, 0, 0, 0, select_last_index - ); + let current_argmax = find_argmax(self, output_indices, axis, 0, 0, 0, select_last_index); output_data.append(current_argmax); @@ -53,5 +47,7 @@ fn argmax( }; }; - return TensorTrait::::new(reduce_output_shape(*self.shape, axis, keepdims), output_data.span(), *self.extra); + return TensorTrait::::new( + reduce_output_shape(*self.shape, axis, keepdims), output_data.span(), *self.extra + ); } diff --git a/src/operators/tensor/math/argmax/helpers.cairo b/src/operators/tensor/math/argmax/helpers.cairo index 43c64728c..39c0afac4 100644 --- a/src/operators/tensor/math/argmax/helpers.cairo +++ b/src/operators/tensor/math/argmax/helpers.cairo @@ -3,9 +3,9 @@ use array::ArrayTrait; use array::SpanTrait; use option::OptionTrait; -use orion::operators::tensor::implementations:: impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index}; -use orion::operators::tensor::helpers::{reduce_output_shape,combine_indices}; +use orion::operators::tensor::helpers::{reduce_output_shape, combine_indices}; use orion::utils::check_gas; /// Helper function that finds the index of the maximum value in a flat tensor. @@ -21,52 +21,49 @@ use orion::utils::check_gas; /// /// # Returns /// * A usize value representing the index of the maximum value along the specified axis. -fn find_argmax_1D< T, +fn find_argmax_1D< + T, impl TPartialOrd: PartialOrd, impl TPartialEq: PartialEq, impl TCopy: Copy, impl TDrop: Drop, >( - input: @Tensor, - axis: usize, - keepdims:bool, - select_last_index: bool - ) -> Tensor{ - - let mut output_data = ArrayTrait::::new(); - let mut data = *input.data; - - let mut max = *data.pop_front().unwrap(); - let mut max_index = 0_usize; - let mut count = 0_usize; - loop { - check_gas(); - - if data.len() == 0 { - break (); - }; + input: @Tensor, axis: usize, keepdims: bool, select_last_index: bool +) -> Tensor { + let mut output_data = ArrayTrait::::new(); + let mut data = *input.data; + + let mut max = *data.pop_front().unwrap(); + let mut max_index = 0_usize; + let mut count = 0_usize; + loop { + check_gas(); + + if data.len() == 0 { + break (); + }; - count += 1; + count += 1; - let current_value = *data.pop_front().unwrap(); - if current_value > max { - max = current_value; + let current_value = *data.pop_front().unwrap(); + if current_value > max { + max = current_value; + max_index = count; + } else { + if select_last_index & (current_value == max) { max_index = count; - - } else { - if select_last_index & (current_value == max) { - max_index = count; - } - }; + } }; + }; - output_data.append(max_index); + output_data.append(max_index); - return TensorTrait::::new(reduce_output_shape(*input.shape, axis, keepdims), output_data.span(), *input.extra); + return TensorTrait::::new( + reduce_output_shape(*input.shape, axis, keepdims), output_data.span(), *input.extra + ); } - /// Recursive helper function that finds the index of the maximum value along a specific axis. /// /// # Arguments @@ -83,7 +80,8 @@ fn find_argmax_1D< T, /// /// # Returns /// * A usize value representing the index of the maximum value along the specified axis. -fn find_argmax< T, +fn find_argmax< + T, impl TPartialOrd: PartialOrd, impl TPartialEq: PartialEq, impl TCopy: Copy, @@ -118,6 +116,12 @@ fn find_argmax< T, }; return find_argmax( - input, output_indices, axis, axis_index + 1_usize, new_max_value, new_argmax,select_last_index + input, + output_indices, + axis, + axis_index + 1_usize, + new_max_value, + new_argmax, + select_last_index ); } diff --git a/src/operators/tensor/math/argmin/argmin_fp/fp16x16.cairo b/src/operators/tensor/math/argmin/argmin_fp/fp16x16.cairo index 494f7c8aa..24728abbc 100644 --- a/src/operators/tensor/math/argmin/argmin_fp/fp16x16.cairo +++ b/src/operators/tensor/math/argmin/argmin_fp/fp16x16.cairo @@ -2,9 +2,10 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::numbers::fixed_point::implementations::impl_16x16; - -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16PartialOrd, FP16x16PartialEq, MAX +}; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index, unravel_index}; use orion::operators::tensor::helpers::{reduce_output_shape, len_from_shape, combine_indices}; use orion::operators::tensor::math::argmin::helpers::{find_argmin_1D,find_argmin}; @@ -40,7 +41,7 @@ fn argmin( let output_shape = reduce_output_shape(*self.shape, axis, false); let output_data_len = len_from_shape(output_shape); - let MAX = FixedTrait::new(impl_16x16::MAX , false); + let MAX = FixedTrait::new(MAX , false); let mut index: usize = 0; loop { diff --git a/src/operators/tensor/math/argmin/argmin_fp/fp8x23.cairo b/src/operators/tensor/math/argmin/argmin_fp/fp8x23.cairo index 3f68ca09c..f931d518c 100644 --- a/src/operators/tensor/math/argmin/argmin_fp/fp8x23.cairo +++ b/src/operators/tensor/math/argmin/argmin_fp/fp8x23.cairo @@ -1,9 +1,10 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::numbers::fixed_point::implementations::impl_8x23; - -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::numbers::fixed_point::implementations::impl_8x23::{ + FP8x23Impl, FP8x23PartialOrd, FP8x23PartialEq, MAX +}; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index, unravel_index}; use orion::operators::tensor::helpers::{reduce_output_shape, len_from_shape, combine_indices}; use orion::operators::tensor::math::argmin::helpers::{find_argmin_1D,find_argmin}; @@ -39,7 +40,7 @@ fn argmin( let output_shape = reduce_output_shape(*self.shape, axis, false); let output_data_len = len_from_shape(output_shape); - let MAX = FixedTrait::new(impl_8x23::MAX , false); + let MAX = FixedTrait::new(MAX , false); let mut index: usize = 0; loop { diff --git a/src/operators/tensor/math/argmin/argmin_i32.cairo b/src/operators/tensor/math/argmin/argmin_i32.cairo index 97b9505b9..2a5764723 100644 --- a/src/operators/tensor/math/argmin/argmin_i32.cairo +++ b/src/operators/tensor/math/argmin/argmin_i32.cairo @@ -2,7 +2,7 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::implementations::{impl_tensor_i32, impl_tensor_u32}; +use orion::operators::tensor::implementations::{impl_tensor_i32, impl_tensor_u32::Tensor_u32}; use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index, unravel_index}; use orion::operators::tensor::helpers::{reduce_output_shape, len_from_shape, combine_indices}; use orion::operators::tensor::math::argmin::helpers::{find_argmin_1D,find_argmin}; diff --git a/src/operators/tensor/math/argmin/argmin_u32.cairo b/src/operators/tensor/math/argmin/argmin_u32.cairo index 546e2dcf4..b5c09a384 100644 --- a/src/operators/tensor/math/argmin/argmin_u32.cairo +++ b/src/operators/tensor/math/argmin/argmin_u32.cairo @@ -1,7 +1,7 @@ use array::ArrayTrait; use array::SpanTrait; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index, unravel_index}; use orion::operators::tensor::helpers::{reduce_output_shape, len_from_shape, combine_indices}; use orion::operators::tensor::math::argmin::helpers::{find_argmin_1D,find_argmin}; diff --git a/src/operators/tensor/math/argmin/helpers.cairo b/src/operators/tensor/math/argmin/helpers.cairo index 7ce0161ce..52f9b9f4f 100644 --- a/src/operators/tensor/math/argmin/helpers.cairo +++ b/src/operators/tensor/math/argmin/helpers.cairo @@ -3,7 +3,7 @@ use array::ArrayTrait; use array::SpanTrait; use option::OptionTrait; -use orion::operators::tensor::implementations:: impl_tensor_u32; +use orion::operators::tensor::implementations:: impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index}; use orion::operators::tensor::helpers::{reduce_output_shape,combine_indices}; use orion::utils::check_gas; diff --git a/src/operators/tensor/math/arithmetic/arithmetic_fp/fp16x16.cairo b/src/operators/tensor/math/arithmetic/arithmetic_fp/fp16x16.cairo index 2ef089d22..63a72f60d 100644 --- a/src/operators/tensor/math/arithmetic/arithmetic_fp/fp16x16.cairo +++ b/src/operators/tensor/math/arithmetic/arithmetic_fp/fp16x16.cairo @@ -2,13 +2,13 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::numbers::fixed_point::implementations::impl_16x16; - +use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Add, FP16x16Sub, FP16x16Mul, FP16x16Div +}; use orion::operators::tensor::helpers::broadcast_shape; - use orion::operators::tensor::core::{Tensor, TensorTrait, unravel_index, }; use orion::operators::tensor::helpers::{broadcast_index_mapping, len_from_shape, }; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::utils::check_gas; /// Adds two `Tensor` instances element-wise with broadcasting. diff --git a/src/operators/tensor/math/arithmetic/arithmetic_fp/fp8x23.cairo b/src/operators/tensor/math/arithmetic/arithmetic_fp/fp8x23.cairo index dac8de068..0721b4cd0 100644 --- a/src/operators/tensor/math/arithmetic/arithmetic_fp/fp8x23.cairo +++ b/src/operators/tensor/math/arithmetic/arithmetic_fp/fp8x23.cairo @@ -2,13 +2,13 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::numbers::fixed_point::implementations::impl_8x23; - +use orion::numbers::fixed_point::implementations::impl_8x23::{ + FP8x23Add, FP8x23Sub, FP8x23Mul, FP8x23Div +}; use orion::operators::tensor::helpers::broadcast_shape; - -use orion::operators::tensor::core::{Tensor, TensorTrait, unravel_index, }; +use orion::operators::tensor::core::{Tensor, TensorTrait, unravel_index}; use orion::operators::tensor::helpers::{broadcast_index_mapping, len_from_shape, }; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::utils::check_gas; /// Adds two `Tensor` instances element-wise with broadcasting. diff --git a/src/operators/tensor/math/arithmetic/arithmetic_i32.cairo b/src/operators/tensor/math/arithmetic/arithmetic_i32.cairo index e927eafd0..d223dc872 100644 --- a/src/operators/tensor/math/arithmetic/arithmetic_i32.cairo +++ b/src/operators/tensor/math/arithmetic/arithmetic_i32.cairo @@ -6,7 +6,7 @@ use orion::operators::tensor::helpers::broadcast_shape; use orion::operators::tensor::core::{Tensor, TensorTrait, unravel_index, }; use orion::operators::tensor::helpers::{broadcast_index_mapping, len_from_shape, }; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::utils::check_gas; /// Adds two `Tensor` instances element-wise with broadcasting. diff --git a/src/operators/tensor/math/arithmetic/arithmetic_u32.cairo b/src/operators/tensor/math/arithmetic/arithmetic_u32.cairo index b2782d893..8c09cbdfb 100644 --- a/src/operators/tensor/math/arithmetic/arithmetic_u32.cairo +++ b/src/operators/tensor/math/arithmetic/arithmetic_u32.cairo @@ -5,7 +5,7 @@ use orion::operators::tensor::helpers::broadcast_shape; use orion::operators::tensor::core::{Tensor, TensorTrait, unravel_index, }; use orion::operators::tensor::helpers::{broadcast_index_mapping, len_from_shape, }; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::utils::check_gas; /// Adds two `Tensor` instances element-wise with broadcasting. diff --git a/src/operators/tensor/math/ceil/ceil_fp/core.cairo b/src/operators/tensor/math/ceil/ceil_fp/core.cairo index 37337d493..2b2bfd625 100644 --- a/src/operators/tensor/math/ceil/ceil_fp/core.cairo +++ b/src/operators/tensor/math/ceil/ceil_fp/core.cairo @@ -1,5 +1,5 @@ use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::operators::tensor::math::ceil::ceil_fp::fp8x23; use orion::operators::tensor::math::ceil::ceil_fp::fp16x16; diff --git a/src/operators/tensor/math/ceil/ceil_fp/fp16x16.cairo b/src/operators/tensor/math/ceil/ceil_fp/fp16x16.cairo index 1d11f3043..55d3dadcc 100644 --- a/src/operators/tensor/math/ceil/ceil_fp/fp16x16.cairo +++ b/src/operators/tensor/math/ceil/ceil_fp/fp16x16.cairo @@ -2,8 +2,8 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; diff --git a/src/operators/tensor/math/ceil/ceil_fp/fp8x23.cairo b/src/operators/tensor/math/ceil/ceil_fp/fp8x23.cairo index 57e9e2411..9ccf0fd32 100644 --- a/src/operators/tensor/math/ceil/ceil_fp/fp8x23.cairo +++ b/src/operators/tensor/math/ceil/ceil_fp/fp8x23.cairo @@ -2,8 +2,8 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; diff --git a/src/operators/tensor/math/equal/equal_fp/fp16x16.cairo b/src/operators/tensor/math/equal/equal_fp/fp16x16.cairo index 0ff259905..bd125e995 100644 --- a/src/operators/tensor/math/equal/equal_fp/fp16x16.cairo +++ b/src/operators/tensor/math/equal/equal_fp/fp16x16.cairo @@ -3,9 +3,9 @@ use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::numbers::fixed_point::implementations::impl_16x16; -use orion::operators::tensor::implementations::impl_tensor_u32; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16PartialEq; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; diff --git a/src/operators/tensor/math/equal/equal_fp/fp8x23.cairo b/src/operators/tensor/math/equal/equal_fp/fp8x23.cairo index b6338123c..1a20386cd 100644 --- a/src/operators/tensor/math/equal/equal_fp/fp8x23.cairo +++ b/src/operators/tensor/math/equal/equal_fp/fp8x23.cairo @@ -3,9 +3,9 @@ use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::numbers::fixed_point::implementations::impl_8x23; -use orion::operators::tensor::implementations::impl_tensor_u32; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23PartialEq; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; diff --git a/src/operators/tensor/math/equal/equal_i32.cairo b/src/operators/tensor/math/equal/equal_i32.cairo index c04092722..1eb6789ce 100644 --- a/src/operators/tensor/math/equal/equal_i32.cairo +++ b/src/operators/tensor/math/equal/equal_i32.cairo @@ -2,7 +2,7 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; use orion::numbers::signed_integer::i32::i32; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/equal/equal_u32.cairo b/src/operators/tensor/math/equal/equal_u32.cairo index c31fba587..c3dc4812b 100644 --- a/src/operators/tensor/math/equal/equal_u32.cairo +++ b/src/operators/tensor/math/equal/equal_u32.cairo @@ -1,7 +1,7 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/exp/exp_fp/fp16x16.cairo b/src/operators/tensor/math/exp/exp_fp/fp16x16.cairo index d156b3b24..ddad3d01c 100644 --- a/src/operators/tensor/math/exp/exp_fp/fp16x16.cairo +++ b/src/operators/tensor/math/exp/exp_fp/fp16x16.cairo @@ -4,9 +4,8 @@ use option::OptionTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; use orion::utils::check_gas; /// Cf: TensorTrait::exp docstring diff --git a/src/operators/tensor/math/exp/exp_fp/fp8x23.cairo b/src/operators/tensor/math/exp/exp_fp/fp8x23.cairo index 5647d8e76..98418fef6 100644 --- a/src/operators/tensor/math/exp/exp_fp/fp8x23.cairo +++ b/src/operators/tensor/math/exp/exp_fp/fp8x23.cairo @@ -4,9 +4,8 @@ use option::OptionTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::utils::check_gas; /// Cf: TensorTrait::exp docstring diff --git a/src/operators/tensor/math/exp/exp_i32/fp16x16.cairo b/src/operators/tensor/math/exp/exp_i32/fp16x16.cairo index 9d281aa87..d5d52d5a4 100644 --- a/src/operators/tensor/math/exp/exp_i32/fp16x16.cairo +++ b/src/operators/tensor/math/exp/exp_i32/fp16x16.cairo @@ -6,9 +6,8 @@ use traits::Into; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::numbers::signed_integer::i32::i32; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; use orion::utils::check_gas; /// Cf: TensorTrait::exp docstring diff --git a/src/operators/tensor/math/exp/exp_i32/fp8x23.cairo b/src/operators/tensor/math/exp/exp_i32/fp8x23.cairo index 5c93ef68a..caf099e98 100644 --- a/src/operators/tensor/math/exp/exp_i32/fp8x23.cairo +++ b/src/operators/tensor/math/exp/exp_i32/fp8x23.cairo @@ -6,9 +6,8 @@ use traits::Into; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::numbers::signed_integer::i32::i32; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::utils::check_gas; /// Cf: TensorTrait::exp docstring diff --git a/src/operators/tensor/math/exp/exp_u32/fp16x16.cairo b/src/operators/tensor/math/exp/exp_u32/fp16x16.cairo index 5fd157753..2c8fb54f7 100644 --- a/src/operators/tensor/math/exp/exp_u32/fp16x16.cairo +++ b/src/operators/tensor/math/exp/exp_u32/fp16x16.cairo @@ -6,9 +6,8 @@ use traits::Into; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::numbers::signed_integer::i32::i32; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; use orion::utils::check_gas; /// Cf: TensorTrait::exp docstring diff --git a/src/operators/tensor/math/exp/exp_u32/fp8x23.cairo b/src/operators/tensor/math/exp/exp_u32/fp8x23.cairo index f7eb9bdb1..ccc60755a 100644 --- a/src/operators/tensor/math/exp/exp_u32/fp8x23.cairo +++ b/src/operators/tensor/math/exp/exp_u32/fp8x23.cairo @@ -6,9 +6,8 @@ use traits::Into; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::numbers::signed_integer::i32::i32; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::utils::check_gas; /// Cf: TensorTrait::exp docstring diff --git a/src/operators/tensor/math/greater/greater_fp/fp16x16.cairo b/src/operators/tensor/math/greater/greater_fp/fp16x16.cairo index f8df675bc..2c8024c7b 100644 --- a/src/operators/tensor/math/greater/greater_fp/fp16x16.cairo +++ b/src/operators/tensor/math/greater/greater_fp/fp16x16.cairo @@ -3,8 +3,8 @@ use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::numbers::fixed_point::implementations::impl_16x16; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16PartialOrd; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; @@ -12,20 +12,19 @@ use orion::operators::tensor::helpers::check_compatibility; /// Cf: TensorTrait::greater docstring fn greater(y: @Tensor, z: @Tensor) -> Tensor { - - check_compatibility(*y.shape,*z.shape); + check_compatibility(*y.shape, *z.shape); let mut data_result = ArrayTrait::::new(); - let (mut smaller, mut bigger, retains_input_order) = if (*y.data).len() < (*z.data).len() { - (y, z, true) - } else { + let (mut smaller, mut bigger, retains_input_order) = if (*y.data).len() < (*z.data).len() { + (y, z, true) + } else { (z, y, false) }; let mut bigger_data = *bigger.data; let mut smaller_data = *smaller.data; let mut smaller_index = 0; - + loop { check_gas(); @@ -41,15 +40,15 @@ fn greater(y: @Tensor, z: @Tensor) -> Tensor { } else { (bigger_current_index, smaller_current_index) }; - + if y_value > z_value { data_result.append(1); } else { data_result.append(0); }; - - smaller_index = (1 + smaller_index) % smaller_data.len() ; + + smaller_index = (1 + smaller_index) % smaller_data.len(); }; return TensorTrait::::new(*bigger.shape, data_result.span(), *y.extra); -} \ No newline at end of file +} diff --git a/src/operators/tensor/math/greater/greater_fp/fp8x23.cairo b/src/operators/tensor/math/greater/greater_fp/fp8x23.cairo index fd82717c2..9364f2d6c 100644 --- a/src/operators/tensor/math/greater/greater_fp/fp8x23.cairo +++ b/src/operators/tensor/math/greater/greater_fp/fp8x23.cairo @@ -3,8 +3,8 @@ use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::numbers::fixed_point::implementations::impl_8x23; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23PartialOrd; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/greater/greater_i32.cairo b/src/operators/tensor/math/greater/greater_i32.cairo index e3bf754b8..ba1937587 100644 --- a/src/operators/tensor/math/greater/greater_i32.cairo +++ b/src/operators/tensor/math/greater/greater_i32.cairo @@ -2,7 +2,7 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; use orion::numbers::signed_integer::i32::i32; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/greater/greater_u32.cairo b/src/operators/tensor/math/greater/greater_u32.cairo index 233c915d6..3d8a4e238 100644 --- a/src/operators/tensor/math/greater/greater_u32.cairo +++ b/src/operators/tensor/math/greater/greater_u32.cairo @@ -1,7 +1,7 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/greater_equal/greater_equal_fp/fp16x16.cairo b/src/operators/tensor/math/greater_equal/greater_equal_fp/fp16x16.cairo index 4711e7143..9e9ed22cd 100644 --- a/src/operators/tensor/math/greater_equal/greater_equal_fp/fp16x16.cairo +++ b/src/operators/tensor/math/greater_equal/greater_equal_fp/fp16x16.cairo @@ -3,8 +3,8 @@ use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::numbers::fixed_point::implementations::impl_16x16; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16PartialOrd; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/greater_equal/greater_equal_fp/fp8x23.cairo b/src/operators/tensor/math/greater_equal/greater_equal_fp/fp8x23.cairo index 0904a0282..041c471bf 100644 --- a/src/operators/tensor/math/greater_equal/greater_equal_fp/fp8x23.cairo +++ b/src/operators/tensor/math/greater_equal/greater_equal_fp/fp8x23.cairo @@ -3,8 +3,8 @@ use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::numbers::fixed_point::implementations::impl_8x23; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23PartialOrd; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/greater_equal/greater_equal_i32.cairo b/src/operators/tensor/math/greater_equal/greater_equal_i32.cairo index 4db3cacf4..855932a36 100644 --- a/src/operators/tensor/math/greater_equal/greater_equal_i32.cairo +++ b/src/operators/tensor/math/greater_equal/greater_equal_i32.cairo @@ -2,7 +2,7 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; use orion::numbers::signed_integer::i32::i32; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/greater_equal/greater_equal_u32.cairo b/src/operators/tensor/math/greater_equal/greater_equal_u32.cairo index 47434b2fb..f030e89c1 100644 --- a/src/operators/tensor/math/greater_equal/greater_equal_u32.cairo +++ b/src/operators/tensor/math/greater_equal/greater_equal_u32.cairo @@ -1,7 +1,7 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/less/less_fp/fp16x16.cairo b/src/operators/tensor/math/less/less_fp/fp16x16.cairo index f6cf711d6..4e9dc16d2 100644 --- a/src/operators/tensor/math/less/less_fp/fp16x16.cairo +++ b/src/operators/tensor/math/less/less_fp/fp16x16.cairo @@ -3,8 +3,8 @@ use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::numbers::fixed_point::implementations::impl_16x16; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16PartialOrd; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; diff --git a/src/operators/tensor/math/less/less_fp/fp8x23.cairo b/src/operators/tensor/math/less/less_fp/fp8x23.cairo index de9cfe035..fbebe1d6e 100644 --- a/src/operators/tensor/math/less/less_fp/fp8x23.cairo +++ b/src/operators/tensor/math/less/less_fp/fp8x23.cairo @@ -3,8 +3,8 @@ use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::numbers::fixed_point::implementations::impl_8x23; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23PartialOrd; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; diff --git a/src/operators/tensor/math/less/less_i32.cairo b/src/operators/tensor/math/less/less_i32.cairo index d1859d8ff..ca31dc6b0 100644 --- a/src/operators/tensor/math/less/less_i32.cairo +++ b/src/operators/tensor/math/less/less_i32.cairo @@ -3,7 +3,7 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; use orion::numbers::signed_integer::i32::i32; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/less/less_u32.cairo b/src/operators/tensor/math/less/less_u32.cairo index d15136ce6..8db1299e9 100644 --- a/src/operators/tensor/math/less/less_u32.cairo +++ b/src/operators/tensor/math/less/less_u32.cairo @@ -1,7 +1,7 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/less_equal/less_equal_fp/fp16x16.cairo b/src/operators/tensor/math/less_equal/less_equal_fp/fp16x16.cairo index 5a11568f3..56b9217ba 100644 --- a/src/operators/tensor/math/less_equal/less_equal_fp/fp16x16.cairo +++ b/src/operators/tensor/math/less_equal/less_equal_fp/fp16x16.cairo @@ -2,9 +2,8 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::numbers::fixed_point::implementations::impl_16x16; - -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16PartialOrd; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/less_equal/less_equal_fp/fp8x23.cairo b/src/operators/tensor/math/less_equal/less_equal_fp/fp8x23.cairo index 0c573fe86..93a4dda2b 100644 --- a/src/operators/tensor/math/less_equal/less_equal_fp/fp8x23.cairo +++ b/src/operators/tensor/math/less_equal/less_equal_fp/fp8x23.cairo @@ -2,9 +2,8 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::FixedType; -use orion::numbers::fixed_point::implementations::impl_8x23; - -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23PartialOrd; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/less_equal/less_equal_i32.cairo b/src/operators/tensor/math/less_equal/less_equal_i32.cairo index cc7bf8030..bd82d7616 100644 --- a/src/operators/tensor/math/less_equal/less_equal_i32.cairo +++ b/src/operators/tensor/math/less_equal/less_equal_i32.cairo @@ -2,7 +2,7 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; use orion::numbers::signed_integer::i32::i32; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/less_equal/less_equal_u32.cairo b/src/operators/tensor/math/less_equal/less_equal_u32.cairo index d171aa244..a2bc4f093 100644 --- a/src/operators/tensor/math/less_equal/less_equal_u32.cairo +++ b/src/operators/tensor/math/less_equal/less_equal_u32.cairo @@ -1,7 +1,7 @@ use array::ArrayTrait; use option::OptionTrait; use array::SpanTrait; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::utils::check_gas; use orion::operators::tensor::helpers::check_compatibility; diff --git a/src/operators/tensor/math/ln/ln_fp/fp16x16.cairo b/src/operators/tensor/math/ln/ln_fp/fp16x16.cairo index b11f7e886..e412c46a9 100644 --- a/src/operators/tensor/math/ln/ln_fp/fp16x16.cairo +++ b/src/operators/tensor/math/ln/ln_fp/fp16x16.cairo @@ -4,9 +4,8 @@ use option::OptionTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; use orion::utils::check_gas; /// Cf: TensorTrait::ln docstring diff --git a/src/operators/tensor/math/ln/ln_fp/fp8x23.cairo b/src/operators/tensor/math/ln/ln_fp/fp8x23.cairo index 2fe4a7250..19bb29e3d 100644 --- a/src/operators/tensor/math/ln/ln_fp/fp8x23.cairo +++ b/src/operators/tensor/math/ln/ln_fp/fp8x23.cairo @@ -4,9 +4,8 @@ use option::OptionTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::utils::check_gas; /// Cf: TensorTrait::ln docstring diff --git a/src/operators/tensor/math/ln/ln_i32/fp16x16.cairo b/src/operators/tensor/math/ln/ln_i32/fp16x16.cairo index a3b26f341..e92f3303b 100644 --- a/src/operators/tensor/math/ln/ln_i32/fp16x16.cairo +++ b/src/operators/tensor/math/ln/ln_i32/fp16x16.cairo @@ -6,9 +6,8 @@ use traits::Into; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::numbers::signed_integer::i32::i32; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; use orion::utils::check_gas; /// Cf: TensorTrait::ln docstring diff --git a/src/operators/tensor/math/ln/ln_i32/fp8x23.cairo b/src/operators/tensor/math/ln/ln_i32/fp8x23.cairo index 6197e173d..e22b5388b 100644 --- a/src/operators/tensor/math/ln/ln_i32/fp8x23.cairo +++ b/src/operators/tensor/math/ln/ln_i32/fp8x23.cairo @@ -6,9 +6,8 @@ use traits::Into; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::numbers::signed_integer::i32::i32; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::utils::check_gas; /// Cf: TensorTrait::ln docstring diff --git a/src/operators/tensor/math/ln/ln_u32/fp16x16.cairo b/src/operators/tensor/math/ln/ln_u32/fp16x16.cairo index 7054d06e4..68d15ee85 100644 --- a/src/operators/tensor/math/ln/ln_u32/fp16x16.cairo +++ b/src/operators/tensor/math/ln/ln_u32/fp16x16.cairo @@ -6,9 +6,9 @@ use traits::Into; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::numbers::signed_integer::i32::i32; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; use orion::utils::check_gas; /// Cf: TensorTrait::ln docstring diff --git a/src/operators/tensor/math/ln/ln_u32/fp8x23.cairo b/src/operators/tensor/math/ln/ln_u32/fp8x23.cairo index 31aef2a8d..d9c8b3405 100644 --- a/src/operators/tensor/math/ln/ln_u32/fp8x23.cairo +++ b/src/operators/tensor/math/ln/ln_u32/fp8x23.cairo @@ -6,9 +6,8 @@ use traits::Into; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::operators::tensor::core::{Tensor, TensorTrait}; use orion::numbers::signed_integer::i32::i32; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::utils::check_gas; /// Cf: TensorTrait::ln docstring diff --git a/src/operators/tensor/math/max/max_fp/fp16x16.cairo b/src/operators/tensor/math/max/max_fp/fp16x16.cairo index ab62a711e..3c72fe87a 100644 --- a/src/operators/tensor/math/max/max_fp/fp16x16.cairo +++ b/src/operators/tensor/math/max/max_fp/fp16x16.cairo @@ -2,13 +2,13 @@ use array::SpanTrait; use option::OptionTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, MAX, FP16x16PartialOrd}; use orion::numbers::fixed_point::math::math_16x16::max; use orion::utils::check_gas; /// Cf: TensorTrait::max docstring fn max_in_tensor(mut vec: Span::) -> FixedType { - let mut max_value: FixedType = FixedTrait::new(impl_16x16::MAX, true); + let mut max_value: FixedType = FixedTrait::new(MAX, true); loop { check_gas(); diff --git a/src/operators/tensor/math/max/max_fp/fp8x23.cairo b/src/operators/tensor/math/max/max_fp/fp8x23.cairo index 6eee94c54..7eef6d7cf 100644 --- a/src/operators/tensor/math/max/max_fp/fp8x23.cairo +++ b/src/operators/tensor/math/max/max_fp/fp8x23.cairo @@ -2,14 +2,13 @@ use array::SpanTrait; use option::OptionTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::numbers::fixed_point::implementations::impl_8x23; - +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, MAX, FP8x23PartialOrd}; use orion::numbers::fixed_point::math::math_8x23::max; use orion::utils::check_gas; /// Cf: TensorTrait::max docstring fn max_in_tensor(mut vec: Span::) -> FixedType { - let mut max_value: FixedType = FixedTrait::new(impl_8x23::MAX, true); + let mut max_value: FixedType = FixedTrait::new(MAX, true); loop { check_gas(); diff --git a/src/operators/tensor/math/min/min_fp/fp16x16.cairo b/src/operators/tensor/math/min/min_fp/fp16x16.cairo index ce8d0625c..d35f7db84 100644 --- a/src/operators/tensor/math/min/min_fp/fp16x16.cairo +++ b/src/operators/tensor/math/min/min_fp/fp16x16.cairo @@ -2,14 +2,13 @@ use array::SpanTrait; use option::OptionTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::numbers::fixed_point::implementations::impl_16x16; - +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, MAX, FP16x16PartialOrd}; use orion::numbers::fixed_point::math::math_16x16::min; use orion::utils::check_gas; /// Cf: TensorTrait::min docstring fn min_in_tensor(mut vec: Span::) -> FixedType { - let mut min_value: FixedType = FixedTrait::new(impl_16x16::MAX - 1, false); + let mut min_value: FixedType = FixedTrait::new(MAX - 1, false); loop { check_gas(); diff --git a/src/operators/tensor/math/min/min_fp/fp8x23.cairo b/src/operators/tensor/math/min/min_fp/fp8x23.cairo index 1e91ceb1a..8a2165bf4 100644 --- a/src/operators/tensor/math/min/min_fp/fp8x23.cairo +++ b/src/operators/tensor/math/min/min_fp/fp8x23.cairo @@ -2,14 +2,13 @@ use array::SpanTrait; use option::OptionTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::numbers::fixed_point::implementations::impl_8x23; - +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, MAX, FP8x23PartialOrd}; use orion::numbers::fixed_point::math::math_8x23::min; use orion::utils::check_gas; /// Cf: TensorTrait::min docstring fn min_in_tensor(mut vec: Span::) -> FixedType { - let mut min_value: FixedType = FixedTrait::new(impl_8x23::MAX - 1, false); + let mut min_value: FixedType = FixedTrait::new(MAX - 1, false); loop { check_gas(); diff --git a/src/operators/tensor/math/min/min_u32.cairo b/src/operators/tensor/math/min/min_u32.cairo index e17b1bb88..a99356775 100644 --- a/src/operators/tensor/math/min/min_u32.cairo +++ b/src/operators/tensor/math/min/min_u32.cairo @@ -1,7 +1,7 @@ use array::SpanTrait; use option::OptionTrait; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::utils::check_gas; /// Cf: TensorTrait::min docstring diff --git a/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp16x16.cairo b/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp16x16.cairo index 734eab124..0032287b9 100644 --- a/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp16x16.cairo +++ b/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp16x16.cairo @@ -3,17 +3,15 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16AddEq}; use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index, unravel_index}; use orion::operators::tensor::helpers::{reduce_output_shape, len_from_shape, combine_indices}; use orion::utils::check_gas; /// Cf: TensorTrait::reduce_sum docstring -fn reduce_sum( - self: @Tensor, axis: usize, keepdims: bool -) -> Tensor { +fn reduce_sum(self: @Tensor, axis: usize, keepdims: bool) -> Tensor { assert(axis <= (*self.shape).len(), 'axis out of dimensions'); let mut output_data = ArrayTrait::new(); diff --git a/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp8x23.cairo b/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp8x23.cairo index c35e9217f..c2087b279 100644 --- a/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp8x23.cairo +++ b/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp8x23.cairo @@ -3,17 +3,15 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23AddEq}; use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index, unravel_index}; use orion::operators::tensor::helpers::{reduce_output_shape, len_from_shape, combine_indices}; use orion::utils::check_gas; /// Cf: TensorTrait::reduce_sum docstring -fn reduce_sum( - self: @Tensor, axis: usize, keepdims: bool -) -> Tensor { +fn reduce_sum(self: @Tensor, axis: usize, keepdims: bool) -> Tensor { assert(axis <= (*self.shape).len(), 'axis out of dimensions'); let mut output_data = ArrayTrait::new(); diff --git a/src/operators/tensor/math/reduce_sum/reduce_sum_i32.cairo b/src/operators/tensor/math/reduce_sum/reduce_sum_i32.cairo index f92f37582..27ff5e8f2 100644 --- a/src/operators/tensor/math/reduce_sum/reduce_sum_i32.cairo +++ b/src/operators/tensor/math/reduce_sum/reduce_sum_i32.cairo @@ -3,7 +3,7 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index, unravel_index}; use orion::operators::tensor::helpers::{reduce_output_shape, len_from_shape, combine_indices}; use orion::utils::check_gas; diff --git a/src/operators/tensor/math/reduce_sum/reduce_sum_u32.cairo b/src/operators/tensor/math/reduce_sum/reduce_sum_u32.cairo index 1c2e8545d..547c2f07c 100644 --- a/src/operators/tensor/math/reduce_sum/reduce_sum_u32.cairo +++ b/src/operators/tensor/math/reduce_sum/reduce_sum_u32.cairo @@ -2,7 +2,7 @@ use array::ArrayTrait; use array::SpanTrait; use option::OptionTrait; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index, unravel_index}; use orion::operators::tensor::helpers::{reduce_output_shape, len_from_shape, combine_indices}; use orion::utils::check_gas; diff --git a/src/performance/functional/quantization/quant_fp/fp16x16.cairo b/src/performance/functional/quantization/quant_fp/fp16x16.cairo index 37a2a7cf2..10793eb8b 100644 --- a/src/performance/functional/quantization/quant_fp/fp16x16.cairo +++ b/src/performance/functional/quantization/quant_fp/fp16x16.cairo @@ -6,9 +6,10 @@ use option::OptionTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::math::math_16x16::max; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16Mul, FP16x16Div, FP16x16Sub +}; use orion::utils::check_gas; diff --git a/src/performance/functional/quantization/quant_fp/fp8x23.cairo b/src/performance/functional/quantization/quant_fp/fp8x23.cairo index 9bcb2bd8a..c3e4dc653 100644 --- a/src/performance/functional/quantization/quant_fp/fp8x23.cairo +++ b/src/performance/functional/quantization/quant_fp/fp8x23.cairo @@ -6,9 +6,10 @@ use option::OptionTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::math::math_8x23::max; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; - -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::{ + FP8x23Impl, FP8x23Mul, FP8x23Div, FP8x23Sub +}; use orion::utils::check_gas; diff --git a/src/performance/functional/quantization/quant_i32.cairo b/src/performance/functional/quantization/quant_i32.cairo index 3f19086bd..e5e9e2b73 100644 --- a/src/performance/functional/quantization/quant_i32.cairo +++ b/src/performance/functional/quantization/quant_i32.cairo @@ -6,8 +6,8 @@ use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_i32; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::performance::functional::quantization::quant_fp::core::symetric_quant as symetric_quant_fp; use orion::utils::check_gas; use orion::utils::fp8x23_to_i32; diff --git a/src/performance/functional/quantization/quant_u32.cairo b/src/performance/functional/quantization/quant_u32.cairo index 71015fbaf..ff282a21d 100644 --- a/src/performance/functional/quantization/quant_u32.cairo +++ b/src/performance/functional/quantization/quant_u32.cairo @@ -5,8 +5,8 @@ use option::OptionTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::operators::tensor::core::{Tensor, TensorTrait}; -use orion::operators::tensor::implementations::impl_tensor_u32; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::performance::functional::quantization::quant_fp::core::symetric_quant as symetric_quant_fp; use orion::utils::u32_max; use orion::utils::check_gas; diff --git a/src/performance/implementations/impl_performance_i32.cairo b/src/performance/implementations/impl_performance_i32.cairo index fa133d454..ea210fa53 100644 --- a/src/performance/implementations/impl_performance_i32.cairo +++ b/src/performance/implementations/impl_performance_i32.cairo @@ -7,7 +7,7 @@ use orion::performance::functional::quantization::quant_i32::{ quantize_tensor, quantize_fp_tensor }; -impl Performance_i32_fp of PerfomanceTrait { +impl Performance_i32 of PerfomanceTrait { fn quantize_linear(self: @Tensor) -> Tensor { quantize_tensor(self) } diff --git a/src/performance/implementations/impl_performance_u32.cairo b/src/performance/implementations/impl_performance_u32.cairo index ff43129fc..91b888120 100644 --- a/src/performance/implementations/impl_performance_u32.cairo +++ b/src/performance/implementations/impl_performance_u32.cairo @@ -4,7 +4,7 @@ use orion::operators::tensor::core::Tensor; use orion::performance::core::PerfomanceTrait; use orion::performance::functional::quantization::quant_u32::{quantize_tensor, quantize_fp_tensor}; -impl Performance_i32_fp of PerfomanceTrait { +impl Performance_i32 of PerfomanceTrait { fn quantize_linear(self: @Tensor) -> Tensor { quantize_tensor(self) } diff --git a/src/tests/numbers/fixed_point/fp16x16_test.cairo b/src/tests/numbers/fixed_point/fp16x16_test.cairo index a563c4df6..ec1233693 100644 --- a/src/tests/numbers/fixed_point/fp16x16_test.cairo +++ b/src/tests/numbers/fixed_point/fp16x16_test.cairo @@ -1,8 +1,11 @@ use option::OptionTrait; use traits::Into; -use orion::numbers::fixed_point::implementations::impl_16x16::{ONE, _felt_abs, _felt_sign}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::{ + ONE, _felt_abs, _felt_sign, FP16x16Impl, FP16x16Into, FP16x16Add, FP16x16AddEq, FP16x16Sub, + FP16x16SubEq, FP16x16Mul, FP16x16MulEq, FP16x16Div, FP16x16DivEq, FP16x16PartialOrd, + FP16x16PartialEq +}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::core; diff --git a/src/tests/numbers/fixed_point/fp8x23_test.cairo b/src/tests/numbers/fixed_point/fp8x23_test.cairo index 880567235..a7d60c7c6 100644 --- a/src/tests/numbers/fixed_point/fp8x23_test.cairo +++ b/src/tests/numbers/fixed_point/fp8x23_test.cairo @@ -2,9 +2,10 @@ use option::OptionTrait; use traits::Into; -use orion::numbers::fixed_point::implementations::impl_8x23::{ONE, _felt_abs, _felt_sign}; - -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{ + ONE, _felt_abs, _felt_sign, FP8x23Impl, FP8x23Into, FP8x23Add, FP8x23AddEq, FP8x23Sub, + FP8x23SubEq, FP8x23Mul, FP8x23MulEq, FP8x23Div, FP8x23DivEq, FP8x23PartialOrd, FP8x23PartialEq +}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::core; diff --git a/src/tests/numbers/signed_integer_test.cairo b/src/tests/numbers/signed_integer_test.cairo index 480b44327..4c92cb2f7 100644 --- a/src/tests/numbers/signed_integer_test.cairo +++ b/src/tests/numbers/signed_integer_test.cairo @@ -191,34 +191,34 @@ fn test_div_rem() { let a = IntegerTrait::::new(13_u32, false); let b = IntegerTrait::::new(5_u32, false); let (q, r) = a.div_rem(b); - assert(q.mag == 2_u32 & r.mag == 3_u32, '13 // 5 = 2 r 3'); + assert((q.mag == 2_u32) & (r.mag == 3_u32), '13 // 5 = 2 r 3'); assert(q.sign == false & r.sign == false, '13 // 5 -> positive'); // Test division and remainder of negative integers let a = IntegerTrait::::new(13_u32, true); let b = IntegerTrait::::new(5_u32, true); let (q, r) = a.div_rem(b); - assert(q.mag == 2_u32 & r.mag == 3_u32, '-13 // -5 = 2 r -3'); + assert((q.mag == 2_u32) & (r.mag == 3_u32), '-13 // -5 = 2 r -3'); assert(q.sign == false & r.sign == true, '-13 // -5 -> positive'); // Test division and remainder of positive and negative integers let a = IntegerTrait::::new(13_u32, false); let b = IntegerTrait::::new(5_u32, true); let (q, r) = a.div_rem(b); - assert(q.mag == 3_u32 & r.mag == 2_u32, '13 // -5 = -3 r -2'); + assert((q.mag == 3_u32) & (r.mag == 2_u32), '13 // -5 = -3 r -2'); assert(q.sign == true & r.sign == true, '13 // -5 -> negative'); // Test division with a = zero let a = IntegerTrait::::new(0_u32, false); let b = IntegerTrait::::new(10_u32, false); let (q, r) = a.div_rem(b); - assert(q.mag == 0_u32 & r.mag == 0_u32, '0 // 10 = 0 r 0'); + assert((q.mag == 0_u32) & (r.mag == 0_u32), '0 // 10 = 0 r 0'); assert(q.sign == false & r.sign == false, '0 // 10 -> positive'); // Test division and remainder with a negative dividend and positive divisor let a = IntegerTrait::::new(13_u32, true); let b = IntegerTrait::::new(5_u32, false); let (q, r) = a.div_rem(b); - assert(q.mag == 3_u32 & r.mag == 2_u32, '-13 // 5 = -3 r 2'); + assert((q.mag == 3_u32) & (r.mag == 2_u32), '-13 // 5 = -3 r 2'); assert(q.sign == true & r.sign == false, '-13 // 5 -> negative'); } diff --git a/src/tests/operators/linalg/matmul_test.cairo b/src/tests/operators/linalg/matmul_test.cairo index 52b8b6d50..9aca7edbd 100644 --- a/src/tests/operators/linalg/matmul_test.cairo +++ b/src/tests/operators/linalg/matmul_test.cairo @@ -2,7 +2,7 @@ use array::ArrayTrait; use array::SpanTrait; use traits::Into; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::TensorTrait; use orion::tests::operators::tensor::helpers::helpers_i32::{ i32_tensor_1x3_helper, i32_tensor_2x2_helper, i32_tensor_3x3_helper diff --git a/src/tests/operators/math/abs/abs_fp_test.cairo b/src/tests/operators/math/abs/abs_fp_test.cairo index 8f5b7804d..989731ba7 100644 --- a/src/tests/operators/math/abs/abs_fp_test.cairo +++ b/src/tests/operators/math/abs/abs_fp_test.cairo @@ -2,10 +2,10 @@ use array::SpanTrait; use array::ArrayTrait; use option::OptionTrait; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; #[test] @@ -28,9 +28,7 @@ fn tensor_abs_fp() { let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new( - sizes.span(), arr.span(), Option::Some(extra) - ); + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); let result = tensor.abs(); assert(*result.data.at(0) == FixedTrait::new(0, false), 'result[0] = 0'); diff --git a/src/tests/operators/math/abs/abs_i32_test.cairo b/src/tests/operators/math/abs/abs_i32_test.cairo index 11e72d72a..0e9cb4061 100644 --- a/src/tests/operators/math/abs/abs_i32_test.cairo +++ b/src/tests/operators/math/abs/abs_i32_test.cairo @@ -2,7 +2,7 @@ use array::SpanTrait; use array::ArrayTrait; use option::OptionTrait; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; diff --git a/src/tests/operators/math/abs/abs_u32_test.cairo b/src/tests/operators/math/abs/abs_u32_test.cairo index cbfa65ccd..29c037512 100644 --- a/src/tests/operators/math/abs/abs_u32_test.cairo +++ b/src/tests/operators/math/abs/abs_u32_test.cairo @@ -1,6 +1,6 @@ use array::SpanTrait; use array::ArrayTrait; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; diff --git a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo index 2d9a7fc26..0b56858c2 100644 --- a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo +++ b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo @@ -3,8 +3,8 @@ mod tensor1D_argmax_fp { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; - use orion::numbers::fixed_point::implementations::impl_16x16; - use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -116,8 +116,8 @@ mod tensor1D_argmax_fp { mod tensor2x2_argmax_fp { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; - use orion::numbers::fixed_point::implementations::impl_16x16; - use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_fp::fp16x16_helpers::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper @@ -207,8 +207,8 @@ mod tensor2x2_argmax_fp { mod tensor2x2x2_argmax_fp { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; - use orion::numbers::fixed_point::implementations::impl_16x16; - use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_fp::fp16x16_helpers::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper diff --git a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo index 775da8afb..56d64bd92 100644 --- a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo +++ b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo @@ -3,8 +3,8 @@ mod tensor1D_argmax_fp { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; - use orion::numbers::fixed_point::implementations::impl_8x23; - use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -116,8 +116,8 @@ mod tensor1D_argmax_fp { mod tensor2x2_argmax_fp { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; - use orion::numbers::fixed_point::implementations::impl_8x23; - use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_fp::fp8x23_helpers::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper @@ -207,8 +207,8 @@ mod tensor2x2_argmax_fp { mod tensor2x2x2_argmax_fp { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; - use orion::numbers::fixed_point::implementations::impl_8x23; - use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_fp::fp8x23_helpers::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper diff --git a/src/tests/operators/math/argmax/argmax_i32_test.cairo b/src/tests/operators/math/argmax/argmax_i32_test.cairo index 4161bcb6a..82fc5c120 100644 --- a/src/tests/operators/math/argmax/argmax_i32_test.cairo +++ b/src/tests/operators/math/argmax/argmax_i32_test.cairo @@ -3,7 +3,7 @@ mod tensor1D_argmax_i32 { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; - use orion::operators::tensor::implementations::impl_tensor_i32; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; #[test] @@ -114,7 +114,7 @@ mod tensor1D_argmax_i32 { mod tensor2x2_argmax_i32 { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; - use orion::operators::tensor::implementations::impl_tensor_i32; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_i32::{i32_tensor_1x3_helper,i32_tensor_2x2_helper, i32_tensor_2x2x2_helper}; @@ -201,7 +201,7 @@ mod tensor2x2_argmax_i32 { mod tensor2x2x2_argmax_i32 { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; - use orion::operators::tensor::implementations::impl_tensor_i32; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_i32::{i32_tensor_1x3_helper,i32_tensor_2x2_helper, i32_tensor_2x2x2_helper}; diff --git a/src/tests/operators/math/argmax/argmax_u32_test.cairo b/src/tests/operators/math/argmax/argmax_u32_test.cairo index 83821921c..9272b3066 100644 --- a/src/tests/operators/math/argmax/argmax_u32_test.cairo +++ b/src/tests/operators/math/argmax/argmax_u32_test.cairo @@ -2,7 +2,7 @@ #[cfg(test)] mod tensor1D_argmax_u32 { use array::{ArrayTrait,SpanTrait}; - use orion::operators::tensor::implementations::impl_tensor_u32; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; #[test] @@ -99,7 +99,7 @@ mod tensor1D_argmax_u32 { #[cfg(test)] mod tensor2x2_argmax_u32 { use array::{ArrayTrait,SpanTrait}; - use orion::operators::tensor::implementations::impl_tensor_u32; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_u32::{u32_tensor_1x3_helper,u32_tensor_2x2_helper, u32_tensor_2x2x2_helper}; @@ -185,7 +185,7 @@ mod tensor2x2_argmax_u32 { #[cfg(test)] mod tensor2x2x2_argmax_u32 { use array::{ArrayTrait,SpanTrait}; - use orion::operators::tensor::implementations::impl_tensor_u32; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_u32::{u32_tensor_1x3_helper,u32_tensor_2x2_helper, u32_tensor_2x2x2_helper}; diff --git a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo index 49eb88e2f..52adfacf2 100644 --- a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo +++ b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo @@ -3,8 +3,8 @@ mod tensor1D_argmin_fp { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; - use orion::numbers::fixed_point::implementations::impl_16x16; - use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; #[test] @@ -124,8 +124,8 @@ mod tensor1D_argmin_fp { mod tensor2x2_argmin_fp { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; - use orion::numbers::fixed_point::implementations::impl_16x16; - use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_fp::fp16x16_helpers::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper @@ -226,8 +226,8 @@ mod tensor2x2_argmin_fp { mod tensor2x2x2_argmin_fp { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; - use orion::numbers::fixed_point::implementations::impl_16x16; - use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_fp::fp16x16_helpers::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper diff --git a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo index fb15806d6..2eebd04c5 100644 --- a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo +++ b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo @@ -3,8 +3,8 @@ mod tensor1D_argmin_fp { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; - use orion::numbers::fixed_point::implementations::impl_8x23; - use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; #[test] @@ -124,8 +124,8 @@ mod tensor1D_argmin_fp { mod tensor2x2_argmin_fp { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; - use orion::numbers::fixed_point::implementations::impl_8x23; - use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_fp::fp8x23_helpers::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper @@ -226,8 +226,8 @@ mod tensor2x2_argmin_fp { mod tensor2x2x2_argmin_fp { use array::{ArrayTrait,SpanTrait}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; - use orion::numbers::fixed_point::implementations::impl_8x23; - use orion::operators::tensor::implementations::impl_tensor_fp; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_fp::fp8x23_helpers::{ fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper diff --git a/src/tests/operators/math/argmin/argmin_i32_test.cairo b/src/tests/operators/math/argmin/argmin_i32_test.cairo index e678c2321..5e6786656 100644 --- a/src/tests/operators/math/argmin/argmin_i32_test.cairo +++ b/src/tests/operators/math/argmin/argmin_i32_test.cairo @@ -3,7 +3,7 @@ mod tensor1D_argmin_i32 { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; - use orion::operators::tensor::implementations::impl_tensor_i32; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; #[test] @@ -123,7 +123,7 @@ mod tensor1D_argmin_i32 { mod tensor2x2_argmin_i32 { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; - use orion::operators::tensor::implementations::impl_tensor_i32; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_i32::{i32_tensor_1x3_helper,i32_tensor_2x2_helper, i32_tensor_2x2x2_helper}; @@ -222,7 +222,7 @@ mod tensor2x2_argmin_i32 { mod tensor2x2x2_argmin_i32 { use array::{ArrayTrait,SpanTrait}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; - use orion::operators::tensor::implementations::impl_tensor_i32; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_i32::{i32_tensor_1x3_helper,i32_tensor_2x2_helper, i32_tensor_2x2x2_helper}; diff --git a/src/tests/operators/math/argmin/argmin_u32_test.cairo b/src/tests/operators/math/argmin/argmin_u32_test.cairo index 5e3341ff4..c7fac43d0 100644 --- a/src/tests/operators/math/argmin/argmin_u32_test.cairo +++ b/src/tests/operators/math/argmin/argmin_u32_test.cairo @@ -2,7 +2,7 @@ #[cfg(test)] mod tensor1D_argmin_u32 { use array::{ArrayTrait,SpanTrait}; - use orion::operators::tensor::implementations::impl_tensor_u32; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; #[test] @@ -108,7 +108,7 @@ mod tensor1D_argmin_u32 { #[cfg(test)] mod tensor2x2_argmin_u32 { use array::{ArrayTrait,SpanTrait}; - use orion::operators::tensor::implementations::impl_tensor_u32; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_u32::{u32_tensor_1x3_helper,u32_tensor_2x2_helper, u32_tensor_2x2x2_helper}; @@ -206,7 +206,7 @@ mod tensor2x2_argmin_u32 { #[cfg(test)] mod tensor2x2x2_argmin_u32 { use array::{ArrayTrait,SpanTrait}; - use orion::operators::tensor::implementations::impl_tensor_u32; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::operators::tensor::helpers::helpers_u32::{u32_tensor_1x3_helper,u32_tensor_2x2_helper, u32_tensor_2x2x2_helper}; diff --git a/src/tests/operators/math/ceil/ceil_fp_test.cairo b/src/tests/operators/math/ceil/ceil_fp_test.cairo index ceffe77f0..8abd060ac 100644 --- a/src/tests/operators/math/ceil/ceil_fp_test.cairo +++ b/src/tests/operators/math/ceil/ceil_fp_test.cairo @@ -1,10 +1,10 @@ use array::SpanTrait; use array::ArrayTrait; use option::OptionTrait; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; #[test] @@ -22,15 +22,17 @@ fn tensor_ceil_fp() { let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new( - sizes.span(), arr.span(), Option::Some(extra) - ); + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); let result = tensor.ceil(); assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 8388608'); // 1 - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false),'result[2] = 100663296'); // 12 - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -92274688'); // -11 + assert( + *result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 100663296' + ); // 12 + assert( + *result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -92274688' + ); // -11 assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/math/ceil/ceil_i32_test.cairo b/src/tests/operators/math/ceil/ceil_i32_test.cairo index e3dad68d7..43a8dadd7 100644 --- a/src/tests/operators/math/ceil/ceil_i32_test.cairo +++ b/src/tests/operators/math/ceil/ceil_i32_test.cairo @@ -2,7 +2,7 @@ use array::SpanTrait; use array::ArrayTrait; use option::OptionTrait; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; diff --git a/src/tests/operators/math/ceil/ceil_u32_test.cairo b/src/tests/operators/math/ceil/ceil_u32_test.cairo index 7841802e0..2c4a5d8f2 100644 --- a/src/tests/operators/math/ceil/ceil_u32_test.cairo +++ b/src/tests/operators/math/ceil/ceil_u32_test.cairo @@ -1,6 +1,6 @@ use array::SpanTrait; use array::ArrayTrait; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; diff --git a/src/tests/operators/math/equal/equal_fp_test.cairo b/src/tests/operators/math/equal/equal_fp_test.cairo index 9d50ca91f..89633d3b7 100644 --- a/src/tests/operators/math/equal/equal_fp_test.cairo +++ b/src/tests/operators/math/equal/equal_fp_test.cairo @@ -1,9 +1,9 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; #[test] #[available_gas(2000000)] diff --git a/src/tests/operators/math/equal/equal_i32_test.cairo b/src/tests/operators/math/equal/equal_i32_test.cairo index 15dd13692..c1ad205a3 100644 --- a/src/tests/operators/math/equal/equal_i32_test.cairo +++ b/src/tests/operators/math/equal/equal_i32_test.cairo @@ -1,7 +1,7 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; diff --git a/src/tests/operators/math/equal/equal_u32_test.cairo b/src/tests/operators/math/equal/equal_u32_test.cairo index 8f4dae6b9..3b362c11d 100644 --- a/src/tests/operators/math/equal/equal_u32_test.cairo +++ b/src/tests/operators/math/equal/equal_u32_test.cairo @@ -1,6 +1,6 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; #[test] diff --git a/src/tests/operators/math/exp_test.cairo b/src/tests/operators/math/exp_test.cairo index b058631dd..2a553ebef 100644 --- a/src/tests/operators/math/exp_test.cairo +++ b/src/tests/operators/math/exp_test.cairo @@ -1,10 +1,10 @@ use array::SpanTrait; use traits::Into; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::{TensorTrait, }; use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2_helper; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; #[test] #[available_gas(20000000)] diff --git a/src/tests/operators/math/greater/greater_fp_test.cairo b/src/tests/operators/math/greater/greater_fp_test.cairo index 031344b7e..c13564e54 100644 --- a/src/tests/operators/math/greater/greater_fp_test.cairo +++ b/src/tests/operators/math/greater/greater_fp_test.cairo @@ -1,9 +1,9 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; #[test] #[available_gas(2000000)] diff --git a/src/tests/operators/math/greater/greater_i32_test.cairo b/src/tests/operators/math/greater/greater_i32_test.cairo index 51eaa24fc..84d9f946a 100644 --- a/src/tests/operators/math/greater/greater_i32_test.cairo +++ b/src/tests/operators/math/greater/greater_i32_test.cairo @@ -1,7 +1,7 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; diff --git a/src/tests/operators/math/greater/greater_u32_test.cairo b/src/tests/operators/math/greater/greater_u32_test.cairo index e8c6a9cbe..0bc034518 100644 --- a/src/tests/operators/math/greater/greater_u32_test.cairo +++ b/src/tests/operators/math/greater/greater_u32_test.cairo @@ -1,6 +1,6 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; #[test] diff --git a/src/tests/operators/math/greater_equal/greater_equal_fp_test.cairo b/src/tests/operators/math/greater_equal/greater_equal_fp_test.cairo index 1e0d3a2aa..ac1784173 100644 --- a/src/tests/operators/math/greater_equal/greater_equal_fp_test.cairo +++ b/src/tests/operators/math/greater_equal/greater_equal_fp_test.cairo @@ -1,9 +1,8 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp;use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; #[test] diff --git a/src/tests/operators/math/greater_equal/greater_equal_i32_test.cairo b/src/tests/operators/math/greater_equal/greater_equal_i32_test.cairo index d2cb7825a..6d1c7b4cd 100644 --- a/src/tests/operators/math/greater_equal/greater_equal_i32_test.cairo +++ b/src/tests/operators/math/greater_equal/greater_equal_i32_test.cairo @@ -1,6 +1,6 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; diff --git a/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo b/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo index b189a197f..339f503df 100644 --- a/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo +++ b/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo @@ -1,6 +1,6 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; #[test] diff --git a/src/tests/operators/math/less/less_fp_test.cairo b/src/tests/operators/math/less/less_fp_test.cairo index 6c4940a15..a92f04346 100644 --- a/src/tests/operators/math/less/less_fp_test.cairo +++ b/src/tests/operators/math/less/less_fp_test.cairo @@ -1,9 +1,8 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp;use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; #[test] #[available_gas(2000000)] diff --git a/src/tests/operators/math/less/less_i32_test.cairo b/src/tests/operators/math/less/less_i32_test.cairo index 567614d02..7f04b2b8e 100644 --- a/src/tests/operators/math/less/less_i32_test.cairo +++ b/src/tests/operators/math/less/less_i32_test.cairo @@ -1,7 +1,7 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; diff --git a/src/tests/operators/math/less/less_u32_test.cairo b/src/tests/operators/math/less/less_u32_test.cairo index 865755702..b173cc045 100644 --- a/src/tests/operators/math/less/less_u32_test.cairo +++ b/src/tests/operators/math/less/less_u32_test.cairo @@ -1,6 +1,6 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; #[test] diff --git a/src/tests/operators/math/less_equal/less_equal_fp_test.cairo b/src/tests/operators/math/less_equal/less_equal_fp_test.cairo index 314096356..c821ca3e5 100644 --- a/src/tests/operators/math/less_equal/less_equal_fp_test.cairo +++ b/src/tests/operators/math/less_equal/less_equal_fp_test.cairo @@ -1,9 +1,8 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp;use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; #[test] #[available_gas(2000000)] diff --git a/src/tests/operators/math/less_equal/less_equal_i32_test.cairo b/src/tests/operators/math/less_equal/less_equal_i32_test.cairo index cede4aa75..e85236e3c 100644 --- a/src/tests/operators/math/less_equal/less_equal_i32_test.cairo +++ b/src/tests/operators/math/less_equal/less_equal_i32_test.cairo @@ -1,6 +1,6 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; diff --git a/src/tests/operators/math/less_equal/less_equal_u32_test.cairo b/src/tests/operators/math/less_equal/less_equal_u32_test.cairo index 98d6e0fcb..b2c5f5073 100644 --- a/src/tests/operators/math/less_equal/less_equal_u32_test.cairo +++ b/src/tests/operators/math/less_equal/less_equal_u32_test.cairo @@ -1,6 +1,6 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; #[test] diff --git a/src/tests/operators/math/ln_test.cairo b/src/tests/operators/math/ln_test.cairo index a433c6909..5c76d27a4 100644 --- a/src/tests/operators/math/ln_test.cairo +++ b/src/tests/operators/math/ln_test.cairo @@ -2,10 +2,10 @@ use array::SpanTrait; use traits::Into; use array::ArrayTrait; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2_helper; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; diff --git a/src/tests/operators/math/max_test.cairo b/src/tests/operators/math/max_test.cairo index f25b085ed..40d491cd7 100644 --- a/src/tests/operators/math/max_test.cairo +++ b/src/tests/operators/math/max_test.cairo @@ -1,4 +1,4 @@ -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::TensorTrait; use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2x2_helper; diff --git a/src/tests/operators/math/min_test.cairo b/src/tests/operators/math/min_test.cairo index 6790676e2..2f1d35a85 100644 --- a/src/tests/operators/math/min_test.cairo +++ b/src/tests/operators/math/min_test.cairo @@ -1,4 +1,4 @@ -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::TensorTrait; use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2x2_helper; diff --git a/src/tests/operators/math/reduce_sum_test.cairo b/src/tests/operators/math/reduce_sum_test.cairo index d74059fa8..c18d963ce 100644 --- a/src/tests/operators/math/reduce_sum_test.cairo +++ b/src/tests/operators/math/reduce_sum_test.cairo @@ -1,6 +1,6 @@ use array::SpanTrait; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::TensorTrait; use orion::tests::operators::tensor::helpers::helpers_i32::{i32_tensor_2x2x2_helper, i32_tensor_1x3_helper}; diff --git a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo index 138e31129..f7ddef031 100644 --- a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo +++ b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo @@ -3,13 +3,13 @@ use array::ArrayTrait; use array::SpanTrait; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::{NNTrait}; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, ONE}; #[test] #[available_gas(2000000)] @@ -42,7 +42,7 @@ fn leaky_relu_i32_test() { let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); let data_0 = *result.data.at(0); - assert(data_0.mag == impl_8x23::ONE, 'result[0] == 8388608'); // 1 + assert(data_0.mag == ONE, 'result[0] == 8388608'); // 1 assert(data_0.sign == false, 'result[0].sign == false'); let data_3 = *result.data.at(3); diff --git a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo index 8245f2a90..d95b46563 100644 --- a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo +++ b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo @@ -4,12 +4,12 @@ use array::ArrayTrait; use array::SpanTrait; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32; +use orion::operators::nn::implementations::impl_nn_u32::NN_u32; use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; #[test] #[available_gas(2000000)] diff --git a/src/tests/operators/nn/functional/linear/linear_test.cairo b/src/tests/operators/nn/functional/linear/linear_test.cairo index 7b6fc56d8..a14cc4d7c 100644 --- a/src/tests/operators/nn/functional/linear/linear_test.cairo +++ b/src/tests/operators/nn/functional/linear/linear_test.cairo @@ -2,10 +2,10 @@ use array::ArrayTrait; use array::SpanTrait; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; #[test] @@ -47,16 +47,21 @@ fn linear_test() { // TEST UNQUANTIZED let result = NNTrait::linear(inputs, weights, bias, false).data; assert( - *result.at(0_usize).mag == 5541_u32 & *result.at(0_usize).sign == false, 'result[0] = 5541' + (*result.at(0_usize).mag == 5541_u32) & (*result.at(0_usize).sign == false), + 'result[0] = 5541' ); assert( - *result.at(1_usize).mag == 260_u32 & *result.at(1_usize).sign == true, 'result[1] = -260' + (*result.at(1_usize).mag == 260_u32) & (*result.at(1_usize).sign == true), + 'result[1] = -260' ); // TEST QUANTIZED let result = NNTrait::linear(inputs, weights, bias, true).data; assert( - *result.at(0_usize).mag == 127_u32 & *result.at(0_usize).sign == false, 'result[0] = 127' + (*result.at(0_usize).mag == 127_u32) & (*result.at(0_usize).sign == false), + 'result[0] = 127' + ); + assert( + (*result.at(1_usize).mag == 6_u32) & (*result.at(1_usize).sign == true), 'result[1] = -6' ); - assert(*result.at(1_usize).mag == 6_u32 & *result.at(1_usize).sign == true, 'result[1] = -6'); } diff --git a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo index 4b566a42a..60e940a0a 100644 --- a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo +++ b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo @@ -4,10 +4,10 @@ use traits::Into; use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2_helper; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::fixed_point::core::FixedImpl; use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; use debug::PrintTrait; use debug::print_felt252; diff --git a/src/tests/operators/nn/functional/relu/relu_i32_test.cairo b/src/tests/operators/nn/functional/relu/relu_i32_test.cairo index fc1909e26..5daba51d2 100644 --- a/src/tests/operators/nn/functional/relu/relu_i32_test.cairo +++ b/src/tests/operators/nn/functional/relu/relu_i32_test.cairo @@ -2,10 +2,10 @@ use array::ArrayTrait; use array::SpanTrait; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; #[test] #[available_gas(2000000)] diff --git a/src/tests/operators/nn/functional/relu/relu_u32_test.cairo b/src/tests/operators/nn/functional/relu/relu_u32_test.cairo index 4b769be56..c95d803e1 100644 --- a/src/tests/operators/nn/functional/relu/relu_u32_test.cairo +++ b/src/tests/operators/nn/functional/relu/relu_u32_test.cairo @@ -2,10 +2,10 @@ use array::ArrayTrait; use array::SpanTrait; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32; +use orion::operators::nn::implementations::impl_nn_u32::NN_u32; #[test] #[available_gas(2000000)] diff --git a/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo b/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo index 67cfa7cc2..9cd5ac464 100644 --- a/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo +++ b/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo @@ -4,10 +4,10 @@ use array::SpanTrait; use core::Into; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; diff --git a/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo b/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo index 47221a8cb..47c3c9119 100644 --- a/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo +++ b/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo @@ -3,10 +3,10 @@ use array::ArrayTrait; use array::SpanTrait; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::numbers::signed_integer::integer_trait::IntegerTrait; use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32; +use orion::operators::nn::implementations::impl_nn_u32::NN_u32; use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; #[test] diff --git a/src/tests/operators/nn/functional/softmax/softmax_test.cairo b/src/tests/operators/nn/functional/softmax/softmax_test.cairo index e98ff4a03..6b7b0c3f2 100644 --- a/src/tests/operators/nn/functional/softmax/softmax_test.cairo +++ b/src/tests/operators/nn/functional/softmax/softmax_test.cairo @@ -4,10 +4,10 @@ use traits::Into; use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2_helper; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::fixed_point::core::FixedImpl; use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; use debug::print_felt252; diff --git a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo index 50797d98c..372e094ec 100644 --- a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo +++ b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo @@ -3,10 +3,10 @@ use array::ArrayTrait; use array::SpanTrait; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; use orion::numbers::fixed_point::core::FixedImpl; diff --git a/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo b/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo index e202dcb34..a93b6ca1b 100644 --- a/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo +++ b/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo @@ -3,13 +3,13 @@ use array::ArrayTrait; use array::SpanTrait; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::numbers::signed_integer::integer_trait::IntegerTrait; use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32; +use orion::operators::nn::implementations::impl_nn_u32::NN_u32; use orion::numbers::fixed_point::core::FixedTrait; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; use orion::numbers::fixed_point::core::FixedImpl; #[test] diff --git a/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo b/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo index 7de4417c2..97dca3688 100644 --- a/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo +++ b/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo @@ -3,10 +3,10 @@ use array::ArrayTrait; use array::SpanTrait; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32; +use orion::operators::nn::implementations::impl_nn_i32::NN_i32; use orion::numbers::fixed_point::core::FixedImpl; #[test] diff --git a/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo b/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo index ee729d56a..18423a1b5 100644 --- a/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo +++ b/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo @@ -4,13 +4,13 @@ use array::ArrayTrait; use array::SpanTrait; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32; +use orion::operators::nn::implementations::impl_nn_u32::NN_u32; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; use orion::numbers::fixed_point::core::FixedImpl; #[test] diff --git a/src/tests/operators/tensor/helpers/helpers_fp/fp16x16_helpers.cairo b/src/tests/operators/tensor/helpers/helpers_fp/fp16x16_helpers.cairo index b473de728..8debc007f 100644 --- a/src/tests/operators/tensor/helpers/helpers_fp/fp16x16_helpers.cairo +++ b/src/tests/operators/tensor/helpers/helpers_fp/fp16x16_helpers.cairo @@ -1,8 +1,8 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::numbers::fixed_point::implementations::impl_16x16; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; // 1D diff --git a/src/tests/operators/tensor/helpers/helpers_fp/fp8x23_helpers.cairo b/src/tests/operators/tensor/helpers/helpers_fp/fp8x23_helpers.cairo index 03108ce41..e6e515d61 100644 --- a/src/tests/operators/tensor/helpers/helpers_fp/fp8x23_helpers.cairo +++ b/src/tests/operators/tensor/helpers/helpers_fp/fp8x23_helpers.cairo @@ -1,9 +1,8 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::numbers::fixed_point::implementations::impl_8x23; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp;use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; // 1D fn fp_tensor_1x3_helper() -> Tensor { diff --git a/src/tests/operators/tensor/helpers/helpers_i32.cairo b/src/tests/operators/tensor/helpers/helpers_i32.cairo index 9c3fb3d76..3a8dce18b 100644 --- a/src/tests/operators/tensor/helpers/helpers_i32.cairo +++ b/src/tests/operators/tensor/helpers/helpers_i32.cairo @@ -3,7 +3,7 @@ use array::SpanTrait; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; // 1D diff --git a/src/tests/operators/tensor/helpers/helpers_u32.cairo b/src/tests/operators/tensor/helpers/helpers_u32.cairo index b02ed4a15..6cfb79645 100644 --- a/src/tests/operators/tensor/helpers/helpers_u32.cairo +++ b/src/tests/operators/tensor/helpers/helpers_u32.cairo @@ -1,6 +1,6 @@ use array::ArrayTrait; use array::SpanTrait; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; // 1D diff --git a/src/tests/operators/tensor/tensor_test.cairo b/src/tests/operators/tensor/tensor_test.cairo index 737d7076b..d642185e2 100644 --- a/src/tests/operators/tensor/tensor_test.cairo +++ b/src/tests/operators/tensor/tensor_test.cairo @@ -2,7 +2,9 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::{ + Tensor_i32, i32TensorAdd, i32TensorSub, i32TensorMul, i32TensorDiv +}; use orion::operators::tensor::core::{TensorTrait, ExtraParams, ravel_index, unravel_index}; use orion::tests::operators::tensor::helpers::helpers_i32::{ i32_tensor_2x2_helper, i32_tensor_3x2_helper, i32_tensor_2x3_helper, i32_tensor_2x2x2_helper, diff --git a/src/tests/performance/quantization_test.cairo b/src/tests/performance/quantization_test.cairo index be8830ab3..584dfd444 100644 --- a/src/tests/performance/quantization_test.cairo +++ b/src/tests/performance/quantization_test.cairo @@ -3,12 +3,12 @@ use array::SpanTrait; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::operators::tensor::implementations::impl_tensor_i32; -use orion::operators::tensor::implementations::impl_tensor_fp; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::performance::core::PerfomanceTrait; -use orion::performance::implementations::impl_performance_i32; +use orion::performance::implementations::impl_performance_i32::Performance_i32; #[test] diff --git a/src/utils.cairo b/src/utils.cairo index d65192878..c020a4f9d 100644 --- a/src/utils.cairo +++ b/src/utils.cairo @@ -4,7 +4,7 @@ use array::ArrayTrait; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, ONE}; // Fake macro to compute gas left // TODO: Remove when automatically handled by compiler. @@ -29,11 +29,11 @@ fn u32_max(a: u32, b: u32) -> u32 { } fn fp8x23_to_i32(x: FixedType) -> i32 { - let unscaled_mag = x.mag / impl_8x23::ONE; + let unscaled_mag = x.mag / ONE; return IntegerTrait::new(unscaled_mag.try_into().unwrap(), x.sign); } fn fp8x23_to_u32(x: FixedType) -> u32 { - let unscaled_mag = x.mag / impl_8x23::ONE; + let unscaled_mag = x.mag / ONE; return unscaled_mag.try_into().unwrap(); } From f6138e5791db264043f41d574f9c2505ee5bd77c Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Tue, 20 Jun 2023 19:22:41 +0300 Subject: [PATCH 017/126] fix test_div_rem --- src/tests/numbers/signed_integer_test.cairo | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/src/tests/numbers/signed_integer_test.cairo b/src/tests/numbers/signed_integer_test.cairo index 4c92cb2f7..73a0216c0 100644 --- a/src/tests/numbers/signed_integer_test.cairo +++ b/src/tests/numbers/signed_integer_test.cairo @@ -191,34 +191,34 @@ fn test_div_rem() { let a = IntegerTrait::::new(13_u32, false); let b = IntegerTrait::::new(5_u32, false); let (q, r) = a.div_rem(b); - assert((q.mag == 2_u32) & (r.mag == 3_u32), '13 // 5 = 2 r 3'); - assert(q.sign == false & r.sign == false, '13 // 5 -> positive'); + assert(q.mag == 2_u32 && r.mag == 3_u32, '13 // 5 = 2 r 3'); + assert((q.sign == false) & (r.sign == false), '13 // 5 -> positive'); // Test division and remainder of negative integers let a = IntegerTrait::::new(13_u32, true); let b = IntegerTrait::::new(5_u32, true); let (q, r) = a.div_rem(b); - assert((q.mag == 2_u32) & (r.mag == 3_u32), '-13 // -5 = 2 r -3'); - assert(q.sign == false & r.sign == true, '-13 // -5 -> positive'); + assert(q.mag == 2_u32 && r.mag == 3_u32, '-13 // -5 = 2 r -3'); + assert(q.sign == false && r.sign == true, '-13 // -5 -> positive'); // Test division and remainder of positive and negative integers let a = IntegerTrait::::new(13_u32, false); let b = IntegerTrait::::new(5_u32, true); let (q, r) = a.div_rem(b); - assert((q.mag == 3_u32) & (r.mag == 2_u32), '13 // -5 = -3 r -2'); - assert(q.sign == true & r.sign == true, '13 // -5 -> negative'); + assert(q.mag == 3_u32 && r.mag == 2_u32, '13 // -5 = -3 r -2'); + assert(q.sign == true && r.sign == true, '13 // -5 -> negative'); // Test division with a = zero let a = IntegerTrait::::new(0_u32, false); let b = IntegerTrait::::new(10_u32, false); let (q, r) = a.div_rem(b); - assert((q.mag == 0_u32) & (r.mag == 0_u32), '0 // 10 = 0 r 0'); - assert(q.sign == false & r.sign == false, '0 // 10 -> positive'); + assert(q.mag == 0_u32 && r.mag == 0_u32, '0 // 10 = 0 r 0'); + assert(q.sign == false && r.sign == false, '0 // 10 -> positive'); // Test division and remainder with a negative dividend and positive divisor let a = IntegerTrait::::new(13_u32, true); let b = IntegerTrait::::new(5_u32, false); let (q, r) = a.div_rem(b); - assert((q.mag == 3_u32) & (r.mag == 2_u32), '-13 // 5 = -3 r 2'); - assert(q.sign == true & r.sign == false, '-13 // 5 -> negative'); + assert(q.mag == 3_u32 && r.mag == 2_u32, '-13 // 5 = -3 r 2'); + assert(q.sign == true && r.sign == false, '-13 // 5 -> negative'); } From 23655a48743334746a1af5ba6933ecd120bcbb97 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Tue, 20 Jun 2023 20:22:42 +0300 Subject: [PATCH 018/126] refactor bitwise ops --- src/numbers/fixed_point/math/math_16x16.cairo | 12 ++++++------ src/numbers/fixed_point/math/math_8x23.cairo | 12 ++++++------ src/numbers/signed_integer/i128.cairo | 8 ++++---- src/numbers/signed_integer/i16.cairo | 8 ++++---- src/numbers/signed_integer/i32.cairo | 8 ++++---- src/numbers/signed_integer/i64.cairo | 8 ++++---- src/numbers/signed_integer/i8.cairo | 8 ++++---- src/operators/tensor/helpers.cairo | 4 ++-- src/operators/tensor/linalg/matmul/helpers.cairo | 4 ++-- .../tensor/linalg/matmul/matmul_fp/fp16x16.cairo | 4 ++-- .../tensor/linalg/matmul/matmul_fp/fp8x23.cairo | 4 ++-- src/operators/tensor/linalg/matmul/matmul_i32.cairo | 4 ++-- src/operators/tensor/linalg/matmul/matmul_u32.cairo | 4 ++-- src/operators/tensor/math/argmax/helpers.cairo | 4 ++-- src/operators/tensor/math/argmin/helpers.cairo | 4 ++-- .../operators/nn/functional/linear/linear_test.cairo | 8 ++++---- 16 files changed, 52 insertions(+), 52 deletions(-) diff --git a/src/numbers/fixed_point/math/math_16x16.cairo b/src/numbers/fixed_point/math/math_16x16.cairo index 02c451481..9b8354928 100644 --- a/src/numbers/fixed_point/math/math_16x16.cairo +++ b/src/numbers/fixed_point/math/math_16x16.cairo @@ -74,7 +74,7 @@ fn div(a: FixedType, b: FixedType) -> FixedType { /// /// * A boolean value that indicates whether the input fixed point numbers are equal. fn eq(a: FixedType, b: FixedType) -> bool { - return (a.mag == b.mag) & (a.sign == b.sign); + return a.mag == b.mag && a.sign == b.sign; } /// Cf: FixedTrait::exp docstring @@ -144,7 +144,7 @@ fn ge(a: FixedType, b: FixedType) -> bool { if (a.sign != b.sign) { return !a.sign; } else { - return (a.mag == b.mag) | ((a.mag > b.mag) ^ a.sign); + return a.mag == b.mag || (a.mag > b.mag) ^ a.sign; } } @@ -162,7 +162,7 @@ fn gt(a: FixedType, b: FixedType) -> bool { if (a.sign != b.sign) { return !a.sign; } else { - return (a.mag != b.mag) & ((a.mag > b.mag) ^ a.sign); + return a.mag != b.mag && (a.mag > b.mag) ^ a.sign; } } @@ -180,7 +180,7 @@ fn le(a: FixedType, b: FixedType) -> bool { if (a.sign != b.sign) { return a.sign; } else { - return (a.mag == b.mag) | ((a.mag < b.mag) ^ a.sign); + return a.mag == b.mag || (a.mag < b.mag) ^ a.sign; } } @@ -247,7 +247,7 @@ fn lt(a: FixedType, b: FixedType) -> bool { if (a.sign != b.sign) { return a.sign; } else { - return (a.mag != b.mag) & ((a.mag < b.mag) ^ a.sign); + return a.mag != b.mag && (a.mag < b.mag) ^ a.sign; } } @@ -286,7 +286,7 @@ fn mul(a: FixedType, b: FixedType) -> FixedType { /// /// * A boolean value that indicates whether the first fixed point number is not equal to the second fixed point number. fn ne(a: FixedType, b: FixedType) -> bool { - return (a.mag != b.mag) | (a.sign != b.sign); + return a.mag != b.mag || a.sign != b.sign; } /// Negates a fixed point number. diff --git a/src/numbers/fixed_point/math/math_8x23.cairo b/src/numbers/fixed_point/math/math_8x23.cairo index 08e8c4b64..658d0c86b 100644 --- a/src/numbers/fixed_point/math/math_8x23.cairo +++ b/src/numbers/fixed_point/math/math_8x23.cairo @@ -74,7 +74,7 @@ fn div(a: FixedType, b: FixedType) -> FixedType { /// /// * A boolean value that indicates whether the input fixed point numbers are equal. fn eq(a: FixedType, b: FixedType) -> bool { - return (a.mag == b.mag) & (a.sign == b.sign); + return a.mag == b.mag && a.sign == b.sign; } /// Cf: FixedTrait::exp docstring @@ -146,7 +146,7 @@ fn ge(a: FixedType, b: FixedType) -> bool { if (a.sign != b.sign) { return !a.sign; } else { - return (a.mag == b.mag) | ((a.mag > b.mag) ^ a.sign); + return a.mag == b.mag || (a.mag > b.mag) ^ a.sign; } } @@ -164,7 +164,7 @@ fn gt(a: FixedType, b: FixedType) -> bool { if (a.sign != b.sign) { return !a.sign; } else { - return (a.mag != b.mag) & ((a.mag > b.mag) ^ a.sign); + return a.mag != b.mag && (a.mag > b.mag) ^ a.sign; } } @@ -182,7 +182,7 @@ fn le(a: FixedType, b: FixedType) -> bool { if (a.sign != b.sign) { return a.sign; } else { - return (a.mag == b.mag) | ((a.mag < b.mag) ^ a.sign); + return a.mag == b.mag || (a.mag < b.mag) ^ a.sign; } } @@ -249,7 +249,7 @@ fn lt(a: FixedType, b: FixedType) -> bool { if (a.sign != b.sign) { return a.sign; } else { - return (a.mag != b.mag) & ((a.mag < b.mag) ^ a.sign); + return a.mag != b.mag && (a.mag < b.mag) ^ a.sign; } } @@ -288,7 +288,7 @@ fn mul(a: FixedType, b: FixedType) -> FixedType { /// /// * A boolean value that indicates whether the first fixed point number is not equal to the second fixed point number. fn ne(a: FixedType, b: FixedType) -> bool { - return (a.mag != b.mag) | (a.sign != b.sign); + return a.mag != b.mag || a.sign != b.sign; } /// Negates a fixed point number. diff --git a/src/numbers/signed_integer/i128.cairo b/src/numbers/signed_integer/i128.cairo index 3319b6635..c8f7e2f47 100644 --- a/src/numbers/signed_integer/i128.cairo +++ b/src/numbers/signed_integer/i128.cairo @@ -337,7 +337,7 @@ fn i128_div_rem(a: i128, b: i128) -> (i128, i128) { // * `bool` - `true` if the two integers are equal, `false` otherwise. fn i128_eq(a: i128, b: i128) -> bool { // Check if the two integers have the same sign and the same absolute value. - if (a.sign == b.sign) & (a.mag == b.mag) { + if a.sign == b.sign && a.mag == b.mag { return true; } @@ -388,7 +388,7 @@ fn i128_lt(a: i128, b: i128) -> bool { if (a.sign != b.sign) { return a.sign; } else { - return (a.mag != b.mag) & ((a.mag < b.mag) ^ a.sign); + return a.mag != b.mag && (a.mag < b.mag) ^ a.sign; } } @@ -399,7 +399,7 @@ fn i128_lt(a: i128, b: i128) -> bool { // # Returns // * `bool` - `true` if `a` is less than or equal to `b`, `false` otherwise. fn i128_le(a: i128, b: i128) -> bool { - if ((a == b) | (i128_lt(a, b) == true)) { + if (a == b || i128_lt(a, b) == true) { return true; } else { return false; @@ -413,7 +413,7 @@ fn i128_le(a: i128, b: i128) -> bool { // # Returns // * `bool` - `true` if `a` is greater than or equal to `b`, `false` otherwise. fn i128_ge(a: i128, b: i128) -> bool { - if ((a == b) | (i128_gt(a, b) == true)) { + if (a == b || i128_gt(a, b) == true) { return true; } else { return false; diff --git a/src/numbers/signed_integer/i16.cairo b/src/numbers/signed_integer/i16.cairo index 86d8157ad..c38881009 100644 --- a/src/numbers/signed_integer/i16.cairo +++ b/src/numbers/signed_integer/i16.cairo @@ -337,7 +337,7 @@ fn i16_div_rem(a: i16, b: i16) -> (i16, i16) { // * `bool` - `true` if the two integers are equal, `false` otherwise. fn i16_eq(a: i16, b: i16) -> bool { // Check if the two integers have the same sign and the same absolute value. - if (a.sign == b.sign) & (a.mag == b.mag) { + if a.sign == b.sign && a.mag == b.mag { return true; } @@ -388,7 +388,7 @@ fn i16_lt(a: i16, b: i16) -> bool { if (a.sign != b.sign) { return a.sign; } else { - return (a.mag != b.mag) & ((a.mag < b.mag) ^ a.sign); + return a.mag != b.mag && (a.mag < b.mag) ^ a.sign; } } @@ -399,7 +399,7 @@ fn i16_lt(a: i16, b: i16) -> bool { // # Returns // * `bool` - `true` if `a` is less than or equal to `b`, `false` otherwise. fn i16_le(a: i16, b: i16) -> bool { - if ((a == b) | (i16_lt(a, b) == true)) { + if (a == b || i16_lt(a, b) == true) { return true; } else { return false; @@ -413,7 +413,7 @@ fn i16_le(a: i16, b: i16) -> bool { // # Returns // * `bool` - `true` if `a` is greater than or equal to `b`, `false` otherwise. fn i16_ge(a: i16, b: i16) -> bool { - if ((a == b) | i16_gt(a, b) == true) { + if (a == b || i16_gt(a, b) == true) { return true; } else { return false; diff --git a/src/numbers/signed_integer/i32.cairo b/src/numbers/signed_integer/i32.cairo index f2beef3ce..01d55f151 100644 --- a/src/numbers/signed_integer/i32.cairo +++ b/src/numbers/signed_integer/i32.cairo @@ -337,7 +337,7 @@ fn i32_div_rem(a: i32, b: i32) -> (i32, i32) { // * `bool` - `true` if the two integers are equal, `false` otherwise. fn i32_eq(a: i32, b: i32) -> bool { // Check if the two integers have the same sign and the same absolute value. - if (a.sign == b.sign) & (a.mag == b.mag) { + if a.sign == b.sign && a.mag == b.mag { return true; } @@ -388,7 +388,7 @@ fn i32_lt(a: i32, b: i32) -> bool { if (a.sign != b.sign) { return a.sign; } else { - return (a.mag != b.mag) & ((a.mag < b.mag) ^ a.sign); + return a.mag != b.mag && (a.mag < b.mag) ^ a.sign; } } @@ -399,7 +399,7 @@ fn i32_lt(a: i32, b: i32) -> bool { // # Returns // * `bool` - `true` if `a` is less than or equal to `b`, `false` otherwise. fn i32_le(a: i32, b: i32) -> bool { - if ((a == b) | (i32_lt(a, b) == true)) { + if (a == b || i32_lt(a, b) == true) { return true; } else { return false; @@ -413,7 +413,7 @@ fn i32_le(a: i32, b: i32) -> bool { // # Returns // * `bool` - `true` if `a` is greater than or equal to `b`, `false` otherwise. fn i32_ge(a: i32, b: i32) -> bool { - if ((a == b )| (i32_gt(a, b) == true)) { + if (a == b || i32_gt(a, b) == true) { return true; } else { return false; diff --git a/src/numbers/signed_integer/i64.cairo b/src/numbers/signed_integer/i64.cairo index 34fdf1fdd..efd9ea9c4 100644 --- a/src/numbers/signed_integer/i64.cairo +++ b/src/numbers/signed_integer/i64.cairo @@ -337,7 +337,7 @@ fn i64_div_rem(a: i64, b: i64) -> (i64, i64) { // * `bool` - `true` if the two integers are equal, `false` otherwise. fn i64_eq(a: i64, b: i64) -> bool { // Check if the two integers have the same sign and the same absolute value. - if (a.sign == b.sign )& (a.mag == b.mag) { + if a.sign == b.sign && a.mag == b.mag { return true; } @@ -388,7 +388,7 @@ fn i64_lt(a: i64, b: i64) -> bool { if (a.sign != b.sign) { return a.sign; } else { - return (a.mag != b.mag) & ((a.mag < b.mag) ^ a.sign); + return a.mag != b.mag && (a.mag < b.mag) ^ a.sign; } } @@ -399,7 +399,7 @@ fn i64_lt(a: i64, b: i64) -> bool { // # Returns // * `bool` - `true` if `a` is less than or equal to `b`, `false` otherwise. fn i64_le(a: i64, b: i64) -> bool { - if ((a == b) | (i64_lt(a, b) == true)) { + if (a == b || i64_lt(a, b) == true) { return true; } else { return false; @@ -413,7 +413,7 @@ fn i64_le(a: i64, b: i64) -> bool { // # Returns // * `bool` - `true` if `a` is greater than or equal to `b`, `false` otherwise. fn i64_ge(a: i64, b: i64) -> bool { - if ((a == b) | (i64_gt(a, b) == true)) { + if (a == b || i64_gt(a, b) == true) { return true; } else { return false; diff --git a/src/numbers/signed_integer/i8.cairo b/src/numbers/signed_integer/i8.cairo index 79f114eb2..9dfcdeb54 100644 --- a/src/numbers/signed_integer/i8.cairo +++ b/src/numbers/signed_integer/i8.cairo @@ -337,7 +337,7 @@ fn i8_div_rem(a: i8, b: i8) -> (i8, i8) { // * `bool` - `true` if the two integers are equal, `false` otherwise. fn i8_eq(a: i8, b: i8) -> bool { // Check if the two integers have the same sign and the same absolute value. - if (a.sign == b.sign) & (a.mag == b.mag) { + if a.sign == b.sign && a.mag == b.mag { return true; } @@ -388,7 +388,7 @@ fn i8_lt(a: i8, b: i8) -> bool { if (a.sign != b.sign) { return a.sign; } else { - return (a.mag != b.mag) & ((a.mag < b.mag) ^ a.sign); + return a.mag != b.mag && (a.mag < b.mag) ^ a.sign; } } @@ -399,7 +399,7 @@ fn i8_lt(a: i8, b: i8) -> bool { // # Returns // * `bool` - `true` if `a` is less than or equal to `b`, `false` otherwise. fn i8_le(a: i8, b: i8) -> bool { - if ((a == b) | (i8_lt(a, b) == true)) { + if (a == b || i8_lt(a, b) == true) { return true; } else { return false; @@ -413,7 +413,7 @@ fn i8_le(a: i8, b: i8) -> bool { // # Returns // * `bool` - `true` if `a` is greater than or equal to `b`, `false` otherwise. fn i8_ge(a: i8, b: i8) -> bool { - if ((a == b) | (i8_gt(a, b) == true)) { + if (a == b || i8_gt(a, b) == true) { return true; } else { return false; diff --git a/src/operators/tensor/helpers.cairo b/src/operators/tensor/helpers.cairo index fb0383fba..f0b340f50 100644 --- a/src/operators/tensor/helpers.cairo +++ b/src/operators/tensor/helpers.cairo @@ -65,7 +65,7 @@ fn check_compatibility(mut shape_1: Span, mut shape_2: Span) { let shape_2_val = *shape_2.pop_front().unwrap(); assert( - (shape_1_val == shape_2_val) | (shape_1_val == 1) | (shape_2_val == 1), + shape_1_val == shape_2_val || shape_1_val == 1 || shape_2_val == 1, 'tensors shape must match' ); }; @@ -291,7 +291,7 @@ fn broadcast_shape(mut shape1: Span, mut shape2: Span) -> Span, is_first_tensor: bool) -> Span { let ndim = shape.len(); - if (ndim == 1) & is_first_tensor { + if ndim == 1 && is_first_tensor { // Prepend 1 to shape if it's 1-dimensional let mut shape_adjusted = ArrayTrait::new(); shape_adjusted.append(1); @@ -37,7 +37,7 @@ fn prepare_shape_for_matmul(mut shape: Span, is_first_tensor: bool) -> Sp }; return shape_adjusted.span(); - } else if (ndim == 1) & !is_first_tensor { + } else if ndim == 1 && !is_first_tensor { // Append 1 to shape if it's 1-dimensional let mut shape_adjusted = ArrayTrait::new(); loop { diff --git a/src/operators/tensor/linalg/matmul/matmul_fp/fp16x16.cairo b/src/operators/tensor/linalg/matmul/matmul_fp/fp16x16.cairo index 8f072a60d..b90ce0bd9 100644 --- a/src/operators/tensor/linalg/matmul/matmul_fp/fp16x16.cairo +++ b/src/operators/tensor/linalg/matmul/matmul_fp/fp16x16.cairo @@ -20,10 +20,10 @@ fn matmul(self: @Tensor, other: @Tensor) -> Tensor, other: @Tensor) -> Tensor, other: @Tensor) -> Tensor { let self_ndim = (self_shape).len(); let other_ndim = (other_shape).len(); - assert((self_ndim <= 2) | (other_ndim <= 2), 'supports only 1D and 2D matmul'); + assert(self_ndim <= 2 || other_ndim <= 2, 'supports only 1D and 2D matmul'); //! Case: Both tensors are 1-dimensional - if (self_ndim == 1) & (other_ndim == 1) { + if self_ndim == 1 && other_ndim == 1 { let dot = dot_product((*self).data, (*other).data); let mut result_shape = ArrayTrait::new(); let mut result_data = ArrayTrait::new(); diff --git a/src/operators/tensor/linalg/matmul/matmul_u32.cairo b/src/operators/tensor/linalg/matmul/matmul_u32.cairo index ba9e1c95a..126c93a23 100644 --- a/src/operators/tensor/linalg/matmul/matmul_u32.cairo +++ b/src/operators/tensor/linalg/matmul/matmul_u32.cairo @@ -16,10 +16,10 @@ fn matmul(self: @Tensor, other: @Tensor) -> Tensor { let self_ndim = (self_shape).len(); let other_ndim = (other_shape).len(); - assert((self_ndim <= 2) | (other_ndim <= 2), 'supports only 1D and 2D matmul'); + assert(self_ndim <= 2 || other_ndim <= 2, 'supports only 1D and 2D matmul'); //! Case: Both tensors are 1-dimensional - if (self_ndim == 1) & (other_ndim == 1) { + if self_ndim == 1 && other_ndim == 1 { let dot = dot_product((*self).data, (*other).data); let mut result_shape = ArrayTrait::new(); let mut result_data = ArrayTrait::new(); diff --git a/src/operators/tensor/math/argmax/helpers.cairo b/src/operators/tensor/math/argmax/helpers.cairo index 39c0afac4..cb9810e9c 100644 --- a/src/operators/tensor/math/argmax/helpers.cairo +++ b/src/operators/tensor/math/argmax/helpers.cairo @@ -50,7 +50,7 @@ fn find_argmax_1D< max = current_value; max_index = count; } else { - if select_last_index & (current_value == max) { + if select_last_index && current_value == max { max_index = count; } }; @@ -108,7 +108,7 @@ fn find_argmax< let (new_max_value, new_argmax) = if ele > max_value { (ele, axis_index) } else { - if select_last_index & (ele == max_value) { + if select_last_index && ele == max_value { (ele, axis_index) } else { (max_value, argmax) diff --git a/src/operators/tensor/math/argmin/helpers.cairo b/src/operators/tensor/math/argmin/helpers.cairo index 52f9b9f4f..e76d9720c 100644 --- a/src/operators/tensor/math/argmin/helpers.cairo +++ b/src/operators/tensor/math/argmin/helpers.cairo @@ -54,7 +54,7 @@ fn find_argmin_1D< T, min_index = count; } else { - if select_last_index & (current_value == min) { + if select_last_index && current_value == min { min_index = count; } }; @@ -110,7 +110,7 @@ fn find_argmin< T, let (new_min_value, new_argmin) = if ele < min_value { (ele, axis_index) } else { - if select_last_index & (ele == min_value) { + if select_last_index && ele == min_value { (ele, axis_index) } else { (min_value, argmin) diff --git a/src/tests/operators/nn/functional/linear/linear_test.cairo b/src/tests/operators/nn/functional/linear/linear_test.cairo index a14cc4d7c..224d4f3ee 100644 --- a/src/tests/operators/nn/functional/linear/linear_test.cairo +++ b/src/tests/operators/nn/functional/linear/linear_test.cairo @@ -47,21 +47,21 @@ fn linear_test() { // TEST UNQUANTIZED let result = NNTrait::linear(inputs, weights, bias, false).data; assert( - (*result.at(0_usize).mag == 5541_u32) & (*result.at(0_usize).sign == false), + *result.at(0_usize).mag == 5541_u32 && *result.at(0_usize).sign == false, 'result[0] = 5541' ); assert( - (*result.at(1_usize).mag == 260_u32) & (*result.at(1_usize).sign == true), + *result.at(1_usize).mag == 260_u32 && *result.at(1_usize).sign == true, 'result[1] = -260' ); // TEST QUANTIZED let result = NNTrait::linear(inputs, weights, bias, true).data; assert( - (*result.at(0_usize).mag == 127_u32) & (*result.at(0_usize).sign == false), + *result.at(0_usize).mag == 127_u32 && *result.at(0_usize).sign == false, 'result[0] = 127' ); assert( - (*result.at(1_usize).mag == 6_u32) & (*result.at(1_usize).sign == true), 'result[1] = -6' + *result.at(1_usize).mag == 6_u32 && *result.at(1_usize).sign == true, 'result[1] = -6' ); } From 73637acdbc058bae7c072ea820da6dc2ac1fca21 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Tue, 20 Jun 2023 20:28:10 +0300 Subject: [PATCH 019/126] remove _u32 in numbers --- docs/apis/numbers/signed-integer/int.abs.md | 2 +- .../numbers/signed-integer/int.div_rem.md | 4 +- docs/apis/numbers/signed-integer/int.max.md | 4 +- docs/apis/numbers/signed-integer/int.min.md | 4 +- docs/apis/operators/tensor/tensor.ln.md | 8 +- docs/apis/operators/tensor/tensor.new.md | 30 +-- src/numbers/signed_integer/i32.cairo | 34 +-- .../signed_integer/integer_trait.cairo | 14 +- .../sigmoid/sigmoid_i32/fp16x16.cairo | 2 +- .../sigmoid/sigmoid_i32/fp8x23.cairo | 2 +- src/operators/tensor/core.cairo | 38 +-- .../tensor/math/argmax/argmax_i32.cairo | 2 +- .../tensor/math/argmin/argmin_i32.cairo | 2 +- .../tensor/math/argmin/argmin_u32.cairo | 2 +- src/operators/tensor/math/max/max_i32.cairo | 2 +- src/operators/tensor/math/max/max_u32.cairo | 2 +- src/operators/tensor/math/min/min_i32.cairo | 2 +- src/operators/tensor/math/min/min_u32.cairo | 2 +- .../functional/quantization/quant_i32.cairo | 10 +- .../functional/quantization/quant_u32.cairo | 2 +- src/tests/numbers/signed_integer_test.cairo | 172 +++++++------- .../math/argmax/argmax_i32_test.cairo | 48 ++-- .../math/argmin/argmin_i32_test.cairo | 62 ++--- .../operators/math/equal/equal_u32_test.cairo | 66 +++--- .../math/greater/greater_u32_test.cairo | 66 +++--- .../greater_equal_u32_test.cairo | 66 +++--- .../operators/math/less/less_u32_test.cairo | 66 +++--- .../math/less_equal/less_equal_u32_test.cairo | 66 +++--- src/tests/operators/math/ln_test.cairo | 8 +- src/tests/operators/math/max_test.cairo | 2 +- src/tests/operators/math/min_test.cairo | 2 +- .../operators/math/reduce_sum_test.cairo | 24 +- .../leaky_relu/leaky_relu_i32_test.cairo | 12 +- .../leaky_relu/leaky_relu_u32_test.cairo | 14 +- .../nn/functional/linear/linear_test.cairo | 30 +-- .../nn/functional/relu/relu_i32_test.cairo | 12 +- .../nn/functional/relu/relu_u32_test.cairo | 10 +- .../functional/sigmoid/sigmoid_i32_test.cairo | 8 +- .../functional/sigmoid/sigmoid_u32_test.cairo | 8 +- .../softplus/softplus_i32_test.cairo | 8 +- .../softplus/softplus_u32_test.cairo | 8 +- .../softsign/softsign_i32_test.cairo | 8 +- .../softsign/softsign_u32_test.cairo | 8 +- .../tensor/helpers/helpers_i32.cairo | 102 ++++---- src/tests/operators/tensor/tensor_test.cairo | 224 +++++++++--------- src/tests/performance/quantization_test.cairo | 24 +- 46 files changed, 646 insertions(+), 646 deletions(-) diff --git a/docs/apis/numbers/signed-integer/int.abs.md b/docs/apis/numbers/signed-integer/int.abs.md index b91f5d5cc..d056a5620 100644 --- a/docs/apis/numbers/signed-integer/int.abs.md +++ b/docs/apis/numbers/signed-integer/int.abs.md @@ -19,7 +19,7 @@ A signed integer ``, representing the absolute value of `self` . ```rust fn abs_example() -> i32 { // We instantiate signed integers here. -let int = IntegerTrait::::new(42_u32, true); +let int = IntegerTrait::::new(42, true); // We can call `abs` function as follows. a.abs() diff --git a/docs/apis/numbers/signed-integer/int.div_rem.md b/docs/apis/numbers/signed-integer/int.div_rem.md index f2000d4fb..d47a9656a 100644 --- a/docs/apis/numbers/signed-integer/int.div_rem.md +++ b/docs/apis/numbers/signed-integer/int.div_rem.md @@ -24,8 +24,8 @@ A tuple of signed integer ``, containing the quotient and the remainder of th ```rust fn div_rem_example() -> (i32, i32) { // We instantiate signed integers here. -let a = IntegerTrait::::new(13_u32, false); -let b = IntegerTrait::::new(5_u32, false); +let a = IntegerTrait::::new(13, false); +let b = IntegerTrait::::new(5, false); // We can call `div_rem` function as follows. a.div_rem(b) diff --git a/docs/apis/numbers/signed-integer/int.max.md b/docs/apis/numbers/signed-integer/int.max.md index b4bbd92fb..9f4e365d8 100644 --- a/docs/apis/numbers/signed-integer/int.max.md +++ b/docs/apis/numbers/signed-integer/int.max.md @@ -20,8 +20,8 @@ A signed integer ``, The maximum between `self` and `other`. ```rust fn max_example() -> i32 { // We instantiate signed integer here. -let a = IntegerTrait::::new(42_u32, true); -let b = IntegerTrait::::new(13_u32, false); +let a = IntegerTrait::::new(42, true); +let b = IntegerTrait::::new(13, false); // We can call `max` function as follows. a.max(b) diff --git a/docs/apis/numbers/signed-integer/int.min.md b/docs/apis/numbers/signed-integer/int.min.md index ce40c20af..b0c30cbfd 100644 --- a/docs/apis/numbers/signed-integer/int.min.md +++ b/docs/apis/numbers/signed-integer/int.min.md @@ -21,8 +21,8 @@ A signed integer ``, The minimum between `self` and `other`. ```rust fn min_example() -> i32 { // We instantiate signed integer here. -let a = IntegerTrait::::new(42_u32, true); -let b = IntegerTrait::::new(13_u32, false); +let a = IntegerTrait::::new(42, true); +let b = IntegerTrait::::new(13, false); // We can call `max` function as follows. a.min(b) diff --git a/docs/apis/operators/tensor/tensor.ln.md b/docs/apis/operators/tensor/tensor.ln.md index 9b16faef3..682d579d4 100644 --- a/docs/apis/operators/tensor/tensor.ln.md +++ b/docs/apis/operators/tensor/tensor.ln.md @@ -27,10 +27,10 @@ let mut sizes = ArrayTrait::new(); sizes.append(4); let mut data = ArrayTrait::new(); -data.append(IntegerTrait::new(1_u32, false)); -data.append(IntegerTrait::new(2_u32, false)); -data.append(IntegerTrait::new(3_u32, false)); -data.append(IntegerTrait::new(100_u32, false)); +data.append(IntegerTrait::new(1, false)); +data.append(IntegerTrait::new(2, false)); +data.append(IntegerTrait::new(3, false)); +data.append(IntegerTrait::new(100, false)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra) diff --git a/docs/apis/operators/tensor/tensor.new.md b/docs/apis/operators/tensor/tensor.new.md index 4f65a3cc5..dc7955a2c 100644 --- a/docs/apis/operators/tensor/tensor.new.md +++ b/docs/apis/operators/tensor/tensor.new.md @@ -31,9 +31,9 @@ let mut shape = ArrayTrait::new(); shape.append(3); let mut data = ArrayTrait::new(); -data.append(0_u32); -data.append(1_u32); -data.append(2_u32); +data.append(0); +data.append(1); +data.append(2); let extra = Option::::None(()); @@ -49,10 +49,10 @@ shape.append(2); shape.append(2); let mut data = ArrayTrait::new(); -data.append(0_u32); -data.append(1_u32); -data.append(2_u32); -data.append(3_u32); +data.append(0); +data.append(1); +data.append(2); +data.append(3); let extra = Option::::None(()); @@ -69,14 +69,14 @@ shape.append(2); shape.append(2); let mut data = ArrayTrait::new(); -data.append(0_u32); -data.append(1_u32); -data.append(2_u32); -data.append(3_u32); -data.append(4_u32); -data.append(5_u32); -data.append(6_u32); -data.append(7_u32); +data.append(0); +data.append(1); +data.append(2); +data.append(3); +data.append(4); +data.append(5); +data.append(6); +data.append(7); let extra = Option::::None(()); diff --git a/src/numbers/signed_integer/i32.cairo b/src/numbers/signed_integer/i32.cairo index 01d55f151..46e7ab7d6 100644 --- a/src/numbers/signed_integer/i32.cairo +++ b/src/numbers/signed_integer/i32.cairo @@ -166,7 +166,7 @@ impl i32Neg of Neg { // # Panics // Panics if `x` is zero and has a sign that is not false. fn i32_check_sign_zero(x: i32) { - if x.mag == 0_u32 { + if x.mag == 0 { assert(x.sign == false, 'sign of 0 must be false'); } } @@ -174,9 +174,9 @@ fn i32_check_sign_zero(x: i32) { /// Cf: IntegerTrait::new docstring fn i32_new(mag: u32, sign: bool) -> i32 { if sign == true { - assert(mag <= 2147483648_u32, 'int: out of range'); + assert(mag <= 2147483648, 'int: out of range'); } else { - assert(mag <= 2147483647_u32, 'int: out of range'); + assert(mag <= 2147483647, 'int: out of range'); } i32 { mag, sign } } @@ -195,7 +195,7 @@ fn i32_add(a: i32, b: i32) -> i32 { // the sum of their absolute values can be returned. if a.sign == b.sign { let sum = a.mag + b.mag; - if (sum == 0_u32) { + if (sum == 0) { return IntegerTrait::new(sum, false); } return IntegerTrait::new(sum, a.sign); @@ -209,7 +209,7 @@ fn i32_add(a: i32, b: i32) -> i32 { }; let difference = larger.mag - smaller.mag; - if (difference == 0_u32) { + if (difference == 0) { return IntegerTrait::new(difference, false); } return IntegerTrait::new(difference, larger.sign); @@ -226,7 +226,7 @@ fn i32_sub(a: i32, b: i32) -> i32 { i32_check_sign_zero(a); i32_check_sign_zero(b); - if (b.mag == 0_u32) { + if (b.mag == 0) { return a; } @@ -254,7 +254,7 @@ fn i32_mul(a: i32, b: i32) -> i32 { // The product is the product of the absolute values of the operands. let mag = a.mag * b.mag; - if (mag == 0_u32) { + if (mag == 0) { return IntegerTrait::new(mag, false); } @@ -270,7 +270,7 @@ fn i32_mul(a: i32, b: i32) -> i32 { fn i32_div(a: i32, b: i32) -> i32 { i32_check_sign_zero(a); // Check that the divisor is not zero. - assert(b.mag != 0_u32, 'b can not be 0'); + assert(b.mag != 0, 'b can not be 0'); // The sign of the quotient is the XOR of the signs of the operands. let sign = a.sign ^ b.sign; @@ -282,27 +282,27 @@ fn i32_div(a: i32, b: i32) -> i32 { // If the operands have different signs, rounding is necessary. // First, check if the quotient is an integer. - if (a.mag % b.mag == 0_u32) { + if (a.mag % b.mag == 0) { let quotient = a.mag / b.mag; - if (quotient == 0_u32) { + if (quotient == 0) { return IntegerTrait::new(quotient, false); } return IntegerTrait::new(quotient, sign); } // If the quotient is not an integer, multiply the dividend by 10 to move the decimal point over. - let quotient = (a.mag * 10_u32) / b.mag; - let last_digit = quotient % 10_u32; + let quotient = (a.mag * 10) / b.mag; + let last_digit = quotient % 10; - if (quotient == 0_u32) { + if (quotient == 0) { return IntegerTrait::new(quotient, false); } // Check the last digit to determine rounding direction. - if (last_digit <= 5_u32) { - return IntegerTrait::new(quotient / 10_u32, sign); + if (last_digit <= 5) { + return IntegerTrait::new(quotient / 10, sign); } else { - return IntegerTrait::new((quotient / 10_u32) + 1_u32, sign); + return IntegerTrait::new((quotient / 10) + 1, sign); } } @@ -315,7 +315,7 @@ fn i32_div(a: i32, b: i32) -> i32 { fn i32_rem(a: i32, b: i32) -> i32 { i32_check_sign_zero(a); // Check that the divisor is not zero. - assert(b.mag != 0_u32, 'b can not be 0'); + assert(b.mag != 0, 'b can not be 0'); return a - (b * (a / b)); } diff --git a/src/numbers/signed_integer/integer_trait.cairo b/src/numbers/signed_integer/integer_trait.cairo index 7b42e9dbd..8757313bb 100644 --- a/src/numbers/signed_integer/integer_trait.cairo +++ b/src/numbers/signed_integer/integer_trait.cairo @@ -72,8 +72,8 @@ trait IntegerTrait { /// ```rust /// fn div_rem_example() -> (i32, i32) { /// // We instantiate signed integers here. - /// let a = IntegerTrait::::new(13_u32, false); - /// let b = IntegerTrait::::new(5_u32, false); + /// let a = IntegerTrait::::new(13, false); + /// let b = IntegerTrait::::new(5, false); /// /// // We can call `div_rem` function as follows. /// a.div_rem(b) @@ -103,7 +103,7 @@ trait IntegerTrait { /// ```rust /// fn abs_example() -> i32 { /// // We instantiate signed integers here. - /// let int = IntegerTrait::::new(42_u32, true); + /// let int = IntegerTrait::::new(42, true); /// /// // We can call `abs` function as follows. /// a.abs() @@ -134,8 +134,8 @@ trait IntegerTrait { /// ```rust /// fn max_example() -> i32 { /// // We instantiate signed integer here. - /// let a = IntegerTrait::::new(42_u32, true); - /// let b = IntegerTrait::::new(13_u32, false); + /// let a = IntegerTrait::::new(42, true); + /// let b = IntegerTrait::::new(13, false); /// /// // We can call `max` function as follows. /// a.max(b) @@ -167,8 +167,8 @@ trait IntegerTrait { /// ```rust /// fn min_example() -> i32 { /// // We instantiate signed integer here. - /// let a = IntegerTrait::::new(42_u32, true); - /// let b = IntegerTrait::::new(13_u32, false); + /// let a = IntegerTrait::::new(42, true); + /// let b = IntegerTrait::::new(13, false); /// /// // We can call `max` function as follows. /// a.min(b) diff --git a/src/operators/nn/functional/sigmoid/sigmoid_i32/fp16x16.cairo b/src/operators/nn/functional/sigmoid/sigmoid_i32/fp16x16.cairo index 1e97860c6..1bb6a0183 100644 --- a/src/operators/nn/functional/sigmoid/sigmoid_i32/fp16x16.cairo +++ b/src/operators/nn/functional/sigmoid/sigmoid_i32/fp16x16.cairo @@ -22,7 +22,7 @@ fn sigmoid_i32(z: @Tensor) -> Tensor { break (); }; - let current_index = *data.pop_front().unwrap() * IntegerTrait::new(1_u32, true); + let current_index = *data.pop_front().unwrap() * IntegerTrait::new(1, true); let fp_current_index = FixedTrait::new_unscaled( current_index.mag.into(), current_index.sign ); diff --git a/src/operators/nn/functional/sigmoid/sigmoid_i32/fp8x23.cairo b/src/operators/nn/functional/sigmoid/sigmoid_i32/fp8x23.cairo index 0a0ddf1df..b3c07a223 100644 --- a/src/operators/nn/functional/sigmoid/sigmoid_i32/fp8x23.cairo +++ b/src/operators/nn/functional/sigmoid/sigmoid_i32/fp8x23.cairo @@ -23,7 +23,7 @@ fn sigmoid_i32(z: @Tensor) -> Tensor { break (); }; - let current_index = *data.pop_front().unwrap() * IntegerTrait::new(1_u32, true); + let current_index = *data.pop_front().unwrap() * IntegerTrait::new(1, true); let fp_current_index = FixedTrait::new_unscaled( current_index.mag.into(), current_index.sign ); diff --git a/src/operators/tensor/core.cairo b/src/operators/tensor/core.cairo index 9031f3acc..571b4e95f 100644 --- a/src/operators/tensor/core.cairo +++ b/src/operators/tensor/core.cairo @@ -76,9 +76,9 @@ trait TensorTrait { /// shape.append(3); /// /// let mut data = ArrayTrait::new(); - /// data.append(0_u32); - /// data.append(1_u32); - /// data.append(2_u32); + /// data.append(0); + /// data.append(1); + /// data.append(2); /// /// let extra = Option::::None(()); /// @@ -94,10 +94,10 @@ trait TensorTrait { /// shape.append(2); /// /// let mut data = ArrayTrait::new(); - /// data.append(0_u32); - /// data.append(1_u32); - /// data.append(2_u32); - /// data.append(3_u32); + /// data.append(0); + /// data.append(1); + /// data.append(2); + /// data.append(3); /// /// let extra = Option::::None(()); /// @@ -114,14 +114,14 @@ trait TensorTrait { /// shape.append(2); /// /// let mut data = ArrayTrait::new(); - /// data.append(0_u32); - /// data.append(1_u32); - /// data.append(2_u32); - /// data.append(3_u32); - /// data.append(4_u32); - /// data.append(5_u32); - /// data.append(6_u32); - /// data.append(7_u32); + /// data.append(0); + /// data.append(1); + /// data.append(2); + /// data.append(3); + /// data.append(4); + /// data.append(5); + /// data.append(6); + /// data.append(7); /// /// let extra = Option::::None(()); /// @@ -746,10 +746,10 @@ trait TensorTrait { /// sizes.append(4); /// /// let mut data = ArrayTrait::new(); - /// data.append(IntegerTrait::new(1_u32, false)); - /// data.append(IntegerTrait::new(2_u32, false)); - /// data.append(IntegerTrait::new(3_u32, false)); - /// data.append(IntegerTrait::new(100_u32, false)); + /// data.append(IntegerTrait::new(1, false)); + /// data.append(IntegerTrait::new(2, false)); + /// data.append(IntegerTrait::new(3, false)); + /// data.append(IntegerTrait::new(100, false)); /// let extra = Option::::None(()); /// let tensor = TensorTrait::::new(sizes.span(), data.span(), extra) /// diff --git a/src/operators/tensor/math/argmax/argmax_i32.cairo b/src/operators/tensor/math/argmax/argmax_i32.cairo index f91d1bb33..abe604f2b 100644 --- a/src/operators/tensor/math/argmax/argmax_i32.cairo +++ b/src/operators/tensor/math/argmax/argmax_i32.cairo @@ -33,7 +33,7 @@ fn argmax( let output_shape = reduce_output_shape(*self.shape, axis, false); let output_data_len = len_from_shape(output_shape); - let MIN = IntegerTrait::::new(2147483648_u32, true); + let MIN = IntegerTrait::::new(2147483648, true); let mut index: usize = 0; loop { diff --git a/src/operators/tensor/math/argmin/argmin_i32.cairo b/src/operators/tensor/math/argmin/argmin_i32.cairo index 2a5764723..d56a4e260 100644 --- a/src/operators/tensor/math/argmin/argmin_i32.cairo +++ b/src/operators/tensor/math/argmin/argmin_i32.cairo @@ -37,7 +37,7 @@ fn argmin( let output_shape = reduce_output_shape(*self.shape, axis, false); let output_data_len = len_from_shape(output_shape); - let MAX = IntegerTrait::::new(2147483647_u32, false); + let MAX = IntegerTrait::::new(2147483647, false); let mut index: usize = 0; loop { diff --git a/src/operators/tensor/math/argmin/argmin_u32.cairo b/src/operators/tensor/math/argmin/argmin_u32.cairo index b5c09a384..9fd053f79 100644 --- a/src/operators/tensor/math/argmin/argmin_u32.cairo +++ b/src/operators/tensor/math/argmin/argmin_u32.cairo @@ -36,7 +36,7 @@ fn argmin( let output_shape = reduce_output_shape(*self.shape, axis, false); let output_data_len = len_from_shape(output_shape); - let MAX = 4294967295_u32; // 2 ** 32 - 1 + let MAX = 4294967295; // 2 ** 32 - 1 let mut index: usize = 0; loop { diff --git a/src/operators/tensor/math/max/max_i32.cairo b/src/operators/tensor/math/max/max_i32.cairo index efa231581..959665025 100644 --- a/src/operators/tensor/math/max/max_i32.cairo +++ b/src/operators/tensor/math/max/max_i32.cairo @@ -6,7 +6,7 @@ use orion::utils::check_gas; /// Cf: TensorTrait::max docstring fn max_in_tensor(mut vec: Span::) -> i32 { - let mut max_value: i32 = IntegerTrait::new(2147483647_u32, true); + let mut max_value: i32 = IntegerTrait::new(2147483647, true); loop { check_gas(); diff --git a/src/operators/tensor/math/max/max_u32.cairo b/src/operators/tensor/math/max/max_u32.cairo index 83d796ba6..64fa359f0 100644 --- a/src/operators/tensor/math/max/max_u32.cairo +++ b/src/operators/tensor/math/max/max_u32.cairo @@ -5,7 +5,7 @@ use orion::utils::check_gas; /// Cf: TensorTrait::max docstring fn max_in_tensor(mut vec: Span::) -> u32 { - let mut max_value = 0_u32; + let mut max_value = 0; loop { check_gas(); diff --git a/src/operators/tensor/math/min/min_i32.cairo b/src/operators/tensor/math/min/min_i32.cairo index 230203bdf..04d857e0c 100644 --- a/src/operators/tensor/math/min/min_i32.cairo +++ b/src/operators/tensor/math/min/min_i32.cairo @@ -6,7 +6,7 @@ use orion::utils::check_gas; /// Cf: TensorTrait::min docstring fn min_in_tensor(mut vec: Span::) -> i32 { - let mut min_value: i32 = IntegerTrait::new(2147483647_u32, false); + let mut min_value: i32 = IntegerTrait::new(2147483647, false); loop { check_gas(); diff --git a/src/operators/tensor/math/min/min_u32.cairo b/src/operators/tensor/math/min/min_u32.cairo index a99356775..ec03576de 100644 --- a/src/operators/tensor/math/min/min_u32.cairo +++ b/src/operators/tensor/math/min/min_u32.cairo @@ -6,7 +6,7 @@ use orion::utils::check_gas; /// Cf: TensorTrait::min docstring fn min_in_tensor(mut vec: Span::) -> u32 { - let mut min_value = 4294967295_u32; + let mut min_value = 4294967295; loop { check_gas(); diff --git a/src/performance/functional/quantization/quant_i32.cairo b/src/performance/functional/quantization/quant_i32.cairo index e5e9e2b73..2058a401d 100644 --- a/src/performance/functional/quantization/quant_i32.cairo +++ b/src/performance/functional/quantization/quant_i32.cairo @@ -27,23 +27,23 @@ use orion::utils::fp8x23_to_i32; fn symetric_quant(min_val: i32, max_val: i32, data: i32) -> i32 { // Define quantization range // int8 range : [-127;127] - let q_min_int = IntegerTrait::new(127_u32, true); - let q_max_int = IntegerTrait::new(127_u32, false); + let q_min_int = IntegerTrait::new(127, true); + let q_max_int = IntegerTrait::new(127, false); - let factor = IntegerTrait::new(1000_u32, false); + let factor = IntegerTrait::new(1000, false); let min_val = min_val * factor; let max_val = max_val * factor; // Calculate the scale based on 8 bit symetric quantization // scale = max(abs(data_range_max), abs(data_range_min)) * 2 / (quantization_range_max - quantization_range_min) - let scale = ((min_val.abs()).max(max_val.abs()) * IntegerTrait::new(2_u32, false)) + let scale = ((min_val.abs()).max(max_val.abs()) * IntegerTrait::new(2, false)) / (q_max_int - q_min_int); // Quantize data based on the scale let quantized_data = (data * factor) / scale; - assert(quantized_data.mag <= 127_u32, 'out of range'); + assert(quantized_data.mag <= 127, 'out of range'); return quantized_data; } diff --git a/src/performance/functional/quantization/quant_u32.cairo b/src/performance/functional/quantization/quant_u32.cairo index ff282a21d..d08bc4527 100644 --- a/src/performance/functional/quantization/quant_u32.cairo +++ b/src/performance/functional/quantization/quant_u32.cairo @@ -42,7 +42,7 @@ fn symetric_quant(min_val: u32, max_val: u32, data: u32) -> u32 { // Quantize data based on the scale let quantized_data = (data * factor) / scale; - assert(quantized_data <= 255_u32, 'out of range'); + assert(quantized_data <= 255, 'out of range'); return quantized_data; } diff --git a/src/tests/numbers/signed_integer_test.cairo b/src/tests/numbers/signed_integer_test.cairo index 73a0216c0..f964f3a03 100644 --- a/src/tests/numbers/signed_integer_test.cairo +++ b/src/tests/numbers/signed_integer_test.cairo @@ -3,114 +3,114 @@ use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; #[test] fn test_into() { - let x = IntegerTrait::::new(42_u32, false); + let x = IntegerTrait::::new(42, false); assert(x.into() == 42, 'should convert to felt252'); - let x = IntegerTrait::::new(42_u32, true); + let x = IntegerTrait::::new(42, true); assert(x.into() == -42, 'should convert to felt252'); } #[test] fn test_add() { // Test addition of two positive integers - let a = IntegerTrait::::new(42_u32, false); - let b = IntegerTrait::::new(13_u32, false); + let a = IntegerTrait::::new(42, false); + let b = IntegerTrait::::new(13, false); let result = a + b; - assert(result.mag == 55_u32, '42 + 13 = 55'); + assert(result.mag == 55, '42 + 13 = 55'); assert(result.sign == false, '42 + 13 -> positive'); // Test addition of two negative integers - let a = IntegerTrait::::new(42_u32, true); - let b = IntegerTrait::::new(13_u32, true); + let a = IntegerTrait::::new(42, true); + let b = IntegerTrait::::new(13, true); let result = a + b; - assert(result.mag == 55_u32, '-42 - 13 = -55'); + assert(result.mag == 55, '-42 - 13 = -55'); assert(result.sign == true, '-42 - 13 -> negative'); // Test addition of a positive integer and a negative integer with the same magnitude - let a = IntegerTrait::::new(42_u32, false); - let b = IntegerTrait::::new(42_u32, true); + let a = IntegerTrait::::new(42, false); + let b = IntegerTrait::::new(42, true); let result = a + b; - assert(result.mag == 0_u32, '42 - 42 = 0'); + assert(result.mag == 0, '42 - 42 = 0'); assert(result.sign == false, '42 - 42 -> positive'); // Test addition of a positive integer and a negative integer with different magnitudes - let a = IntegerTrait::::new(42_u32, false); - let b = IntegerTrait::::new(13_u32, true); + let a = IntegerTrait::::new(42, false); + let b = IntegerTrait::::new(13, true); let result = a + b; - assert(result.mag == 29_u32, '42 - 13 = 29'); + assert(result.mag == 29, '42 - 13 = 29'); assert(result.sign == false, '42 - 13 -> positive'); // Test addition of a negative integer and a positive integer with different magnitudes - let a = IntegerTrait::::new(42_u32, true); - let b = IntegerTrait::::new(13_u32, false); + let a = IntegerTrait::::new(42, true); + let b = IntegerTrait::::new(13, false); let result = a + b; - assert(result.mag == 29_u32, '-42 + 13 = -29'); + assert(result.mag == 29, '-42 + 13 = -29'); assert(result.sign == true, '-42 + 13 -> negative'); } #[test] fn test_sub() { // Test subtraction of two positive integers with larger first - let a = IntegerTrait::::new(42_u32, false); - let b = IntegerTrait::::new(13_u32, false); + let a = IntegerTrait::::new(42, false); + let b = IntegerTrait::::new(13, false); let result = a - b; - assert(result.mag == 29_u32, '42 - 13 = 29'); + assert(result.mag == 29, '42 - 13 = 29'); assert(result.sign == false, '42 - 13 -> positive'); // Test subtraction of two positive integers with larger second - let a = IntegerTrait::::new(13_u32, false); - let b = IntegerTrait::::new(42_u32, false); + let a = IntegerTrait::::new(13, false); + let b = IntegerTrait::::new(42, false); let result = a - b; - assert(result.mag == 29_u32, '13 - 42 = -29'); + assert(result.mag == 29, '13 - 42 = -29'); assert(result.sign == true, '13 - 42 -> negative'); // Test subtraction of two negative integers with larger first - let a = IntegerTrait::::new(42_u32, true); - let b = IntegerTrait::::new(13_u32, true); + let a = IntegerTrait::::new(42, true); + let b = IntegerTrait::::new(13, true); let result = a - b; - assert(result.mag == 29_u32, '-42 - -13 = 29'); + assert(result.mag == 29, '-42 - -13 = 29'); assert(result.sign == true, '-42 - -13 -> negative'); // Test subtraction of two negative integers with larger second - let a = IntegerTrait::::new(13_u32, true); - let b = IntegerTrait::::new(42_u32, true); + let a = IntegerTrait::::new(13, true); + let b = IntegerTrait::::new(42, true); let result = a - b; - assert(result.mag == 29_u32, '-13 - -42 = 29'); + assert(result.mag == 29, '-13 - -42 = 29'); assert(result.sign == false, '-13 - -42 -> positive'); // Test subtraction of a positive integer and a negative integer with the same magnitude - let a = IntegerTrait::::new(42_u32, false); - let b = IntegerTrait::::new(42_u32, true); + let a = IntegerTrait::::new(42, false); + let b = IntegerTrait::::new(42, true); let result = a - b; - assert(result.mag == 84_u32, '42 - -42 = 84'); + assert(result.mag == 84, '42 - -42 = 84'); assert(result.sign == false, '42 - -42 -> postive'); // Test subtraction of a negative integer and a positive integer with the same magnitude - let a = IntegerTrait::::new(42_u32, true); - let b = IntegerTrait::::new(42_u32, false); + let a = IntegerTrait::::new(42, true); + let b = IntegerTrait::::new(42, false); let result = a - b; - assert(result.mag == 84_u32, '-42 - 42 = -84'); + assert(result.mag == 84, '-42 - 42 = -84'); assert(result.sign == true, '-42 - 42 -> negative'); // Test subtraction of a positive integer and a negative integer with different magnitudes - let a = IntegerTrait::::new(100_u32, false); - let b = IntegerTrait::::new(42_u32, true); + let a = IntegerTrait::::new(100, false); + let b = IntegerTrait::::new(42, true); let result = a - b; - assert(result.mag == 142_u32, '100 - - 42 = 142'); + assert(result.mag == 142, '100 - - 42 = 142'); assert(result.sign == false, '100 - - 42 -> postive'); // Test subtraction of a negative integer and a positive integer with different magnitudes - let a = IntegerTrait::::new(42_u32, true); - let b = IntegerTrait::::new(100_u32, false); + let a = IntegerTrait::::new(42, true); + let b = IntegerTrait::::new(100, false); let result = a - b; - assert(result.mag == 142_u32, '-42 - 100 = -142'); + assert(result.mag == 142, '-42 - 100 = -142'); assert(result.sign == true, '-42 - 100 -> negative'); // Test subtraction resulting in zero - let a = IntegerTrait::::new(42_u32, false); - let b = IntegerTrait::::new(42_u32, false); + let a = IntegerTrait::::new(42, false); + let b = IntegerTrait::::new(42, false); let result = a - b; - assert(result.mag == 0_u32, '42 - 42 = 0'); + assert(result.mag == 0, '42 - 42 = 0'); assert(result.sign == false, '42 - 42 -> positive'); } @@ -118,69 +118,69 @@ fn test_sub() { #[test] fn test_mul() { // Test multiplication of positive integers - let a = IntegerTrait::::new(10_u32, false); - let b = IntegerTrait::::new(5_u32, false); + let a = IntegerTrait::::new(10, false); + let b = IntegerTrait::::new(5, false); let result = a * b; - assert(result.mag == 50_u32, '10 * 5 = 50'); + assert(result.mag == 50, '10 * 5 = 50'); assert(result.sign == false, '10 * 5 -> positive'); // Test multiplication of negative integers - let a = IntegerTrait::::new(10_u32, true); - let b = IntegerTrait::::new(5_u32, true); + let a = IntegerTrait::::new(10, true); + let b = IntegerTrait::::new(5, true); let result = a * b; - assert(result.mag == 50_u32, '-10 * -5 = 50'); + assert(result.mag == 50, '-10 * -5 = 50'); assert(result.sign == false, '-10 * -5 -> positive'); // Test multiplication of positive and negative integers - let a = IntegerTrait::::new(10_u32, false); - let b = IntegerTrait::::new(5_u32, true); + let a = IntegerTrait::::new(10, false); + let b = IntegerTrait::::new(5, true); let result = a * b; - assert(result.mag == 50_u32, '10 * -5 = -50'); + assert(result.mag == 50, '10 * -5 = -50'); assert(result.sign == true, '10 * -5 -> negative'); // Test multiplication by zero - let a = IntegerTrait::::new(10_u32, false); - let b = IntegerTrait::::new(0_u32, false); + let a = IntegerTrait::::new(10, false); + let b = IntegerTrait::::new(0, false); let result = a * b; - assert(result.mag == 0_u32, '10 * 0 = 0'); + assert(result.mag == 0, '10 * 0 = 0'); assert(result.sign == false, '10 * 0 -> positive'); } #[test] fn test_div_no_rem() { // Test division of positive integers - let a = IntegerTrait::::new(10_u32, false); - let b = IntegerTrait::::new(5_u32, false); + let a = IntegerTrait::::new(10, false); + let b = IntegerTrait::::new(5, false); let result = a / b; - assert(result.mag == 2_u32, '10 // 5 = 2'); + assert(result.mag == 2, '10 // 5 = 2'); assert(result.sign == false, '10 // 5 -> positive'); // Test division of negative integers - let a = IntegerTrait::::new(10_u32, true); - let b = IntegerTrait::::new(5_u32, true); + let a = IntegerTrait::::new(10, true); + let b = IntegerTrait::::new(5, true); let result = a / b; - assert(result.mag == 2_u32, '-10 // -5 = 2'); + assert(result.mag == 2, '-10 // -5 = 2'); assert(result.sign == false, '-10 // -5 -> positive'); // Test division of positive and negative integers - let a = IntegerTrait::::new(10_u32, false); - let b = IntegerTrait::::new(5_u32, true); + let a = IntegerTrait::::new(10, false); + let b = IntegerTrait::::new(5, true); let result = a / b; - assert(result.mag == 2_u32, '10 // -5 = -2'); + assert(result.mag == 2, '10 // -5 = -2'); assert(result.sign == true, '10 // -5 -> negative'); // Test division with a = zero - let a = IntegerTrait::::new(0_u32, false); - let b = IntegerTrait::::new(10_u32, false); + let a = IntegerTrait::::new(0, false); + let b = IntegerTrait::::new(10, false); let result = a / b; - assert(result.mag == 0_u32, '0 // 10 = 0'); + assert(result.mag == 0, '0 // 10 = 0'); assert(result.sign == false, '0 // 10 -> positive'); // Test division with a = zero - let a = IntegerTrait::::new(0_u32, false); - let b = IntegerTrait::::new(10_u32, false); + let a = IntegerTrait::::new(0, false); + let b = IntegerTrait::::new(10, false); let result = a / b; - assert(result.mag == 0_u32, '0 // 10 = 0'); + assert(result.mag == 0, '0 // 10 = 0'); assert(result.sign == false, '0 // 10 -> positive'); } @@ -188,37 +188,37 @@ fn test_div_no_rem() { #[available_gas(20000000)] fn test_div_rem() { // Test division and remainder of positive integers - let a = IntegerTrait::::new(13_u32, false); - let b = IntegerTrait::::new(5_u32, false); + let a = IntegerTrait::::new(13, false); + let b = IntegerTrait::::new(5, false); let (q, r) = a.div_rem(b); - assert(q.mag == 2_u32 && r.mag == 3_u32, '13 // 5 = 2 r 3'); + assert(q.mag == 2 && r.mag == 3, '13 // 5 = 2 r 3'); assert((q.sign == false) & (r.sign == false), '13 // 5 -> positive'); // Test division and remainder of negative integers - let a = IntegerTrait::::new(13_u32, true); - let b = IntegerTrait::::new(5_u32, true); + let a = IntegerTrait::::new(13, true); + let b = IntegerTrait::::new(5, true); let (q, r) = a.div_rem(b); - assert(q.mag == 2_u32 && r.mag == 3_u32, '-13 // -5 = 2 r -3'); + assert(q.mag == 2 && r.mag == 3, '-13 // -5 = 2 r -3'); assert(q.sign == false && r.sign == true, '-13 // -5 -> positive'); // Test division and remainder of positive and negative integers - let a = IntegerTrait::::new(13_u32, false); - let b = IntegerTrait::::new(5_u32, true); + let a = IntegerTrait::::new(13, false); + let b = IntegerTrait::::new(5, true); let (q, r) = a.div_rem(b); - assert(q.mag == 3_u32 && r.mag == 2_u32, '13 // -5 = -3 r -2'); + assert(q.mag == 3 && r.mag == 2, '13 // -5 = -3 r -2'); assert(q.sign == true && r.sign == true, '13 // -5 -> negative'); // Test division with a = zero - let a = IntegerTrait::::new(0_u32, false); - let b = IntegerTrait::::new(10_u32, false); + let a = IntegerTrait::::new(0, false); + let b = IntegerTrait::::new(10, false); let (q, r) = a.div_rem(b); - assert(q.mag == 0_u32 && r.mag == 0_u32, '0 // 10 = 0 r 0'); + assert(q.mag == 0 && r.mag == 0, '0 // 10 = 0 r 0'); assert(q.sign == false && r.sign == false, '0 // 10 -> positive'); // Test division and remainder with a negative dividend and positive divisor - let a = IntegerTrait::::new(13_u32, true); - let b = IntegerTrait::::new(5_u32, false); + let a = IntegerTrait::::new(13, true); + let b = IntegerTrait::::new(5, false); let (q, r) = a.div_rem(b); - assert(q.mag == 3_u32 && r.mag == 2_u32, '-13 // 5 = -3 r 2'); + assert(q.mag == 3 && r.mag == 2, '-13 // 5 = -3 r 2'); assert(q.sign == true && r.sign == false, '-13 // 5 -> negative'); } diff --git a/src/tests/operators/math/argmax/argmax_i32_test.cairo b/src/tests/operators/math/argmax/argmax_i32_test.cairo index 82fc5c120..4a2247354 100644 --- a/src/tests/operators/math/argmax/argmax_i32_test.cairo +++ b/src/tests/operators/math/argmax/argmax_i32_test.cairo @@ -18,9 +18,9 @@ mod tensor1D_argmax_i32 { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -32,9 +32,9 @@ mod tensor1D_argmax_i32 { let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, true)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, true)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -60,9 +60,9 @@ mod tensor1D_argmax_i32 { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, true)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, true)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -85,9 +85,9 @@ mod tensor1D_argmax_i32 { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(1_u32, true)); - data.append(IntegerTrait::new(1_u32, true)); - data.append(IntegerTrait::new(1_u32, true)); + data.append(IntegerTrait::new(1, true)); + data.append(IntegerTrait::new(1, true)); + data.append(IntegerTrait::new(1, true)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -172,10 +172,10 @@ mod tensor2x2_argmax_i32 { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -278,14 +278,14 @@ mod tensor2x2x2_argmax_i32 { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); diff --git a/src/tests/operators/math/argmin/argmin_i32_test.cairo b/src/tests/operators/math/argmin/argmin_i32_test.cairo index 5e6786656..ac767e7e7 100644 --- a/src/tests/operators/math/argmin/argmin_i32_test.cairo +++ b/src/tests/operators/math/argmin/argmin_i32_test.cairo @@ -18,9 +18,9 @@ mod tensor1D_argmin_i32 { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -32,9 +32,9 @@ mod tensor1D_argmin_i32 { let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, true)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, true)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -60,9 +60,9 @@ mod tensor1D_argmin_i32 { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, true)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, true)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -85,9 +85,9 @@ mod tensor1D_argmin_i32 { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(1_u32, true)); - data.append(IntegerTrait::new(1_u32, true)); - data.append(IntegerTrait::new(1_u32, true)); + data.append(IntegerTrait::new(1, true)); + data.append(IntegerTrait::new(1, true)); + data.append(IntegerTrait::new(1, true)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -103,9 +103,9 @@ mod tensor1D_argmin_i32 { let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(1_u32, true)); - data.append(IntegerTrait::new(1_u32, true)); - data.append(IntegerTrait::new(1_u32, true)); + data.append(IntegerTrait::new(1, true)); + data.append(IntegerTrait::new(1, true)); + data.append(IntegerTrait::new(1, true)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -181,10 +181,10 @@ mod tensor2x2_argmin_i32 { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -202,10 +202,10 @@ mod tensor2x2_argmin_i32 { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -299,14 +299,14 @@ mod tensor2x2x2_argmin_i32 { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(1, false)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); diff --git a/src/tests/operators/math/equal/equal_u32_test.cairo b/src/tests/operators/math/equal/equal_u32_test.cairo index 3b362c11d..2de02866b 100644 --- a/src/tests/operators/math/equal/equal_u32_test.cairo +++ b/src/tests/operators/math/equal/equal_u32_test.cairo @@ -11,26 +11,26 @@ fn tensor_eq_u32() { sizes.append(3); let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(5_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - arr_1.append(8_u32); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10_u32); - arr_2.append(11_u32); - arr_2.append(12_u32); - arr_2.append(13_u32); - arr_2.append(4_u32); - arr_2.append(5_u32); - arr_2.append(16_u32); - arr_2.append(17_u32); - arr_2.append(18_u32); + arr_2.append(10); + arr_2.append(11); + arr_2.append(12); + arr_2.append(13); + arr_2.append(4); + arr_2.append(5); + arr_2.append(16); + arr_2.append(17); + arr_2.append(18); let extra = Option::::None(()); @@ -63,23 +63,23 @@ fn tensor_eq_u32_broadcast() { sizes_2.append(3); let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(5_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - arr_1.append(8_u32); - arr_1.append(9_u32); - arr_1.append(10_u32); - arr_1.append(11_u32); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + arr_1.append(9); + arr_1.append(10); + arr_1.append(11); let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0_u32); - arr_2.append(1_u32); - arr_2.append(2_u32); + arr_2.append(0); + arr_2.append(1); + arr_2.append(2); let extra = Option::::None(()); diff --git a/src/tests/operators/math/greater/greater_u32_test.cairo b/src/tests/operators/math/greater/greater_u32_test.cairo index 0bc034518..1aca92576 100644 --- a/src/tests/operators/math/greater/greater_u32_test.cairo +++ b/src/tests/operators/math/greater/greater_u32_test.cairo @@ -11,26 +11,26 @@ fn tensor_greater_u32() { sizes.append(3); let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(7_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - arr_1.append(8_u32); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(7); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10_u32); - arr_2.append(11_u32); - arr_2.append(12_u32); - arr_2.append(13_u32); - arr_2.append(4_u32); - arr_2.append(5_u32); - arr_2.append(16_u32); - arr_2.append(17_u32); - arr_2.append(18_u32); + arr_2.append(10); + arr_2.append(11); + arr_2.append(12); + arr_2.append(13); + arr_2.append(4); + arr_2.append(5); + arr_2.append(16); + arr_2.append(17); + arr_2.append(18); let extra = Option::::None(()); @@ -76,23 +76,23 @@ fn tensor_greater_u32_broadcast() { sizes_2.append(3); let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(5_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - arr_1.append(8_u32); - arr_1.append(9_u32); - arr_1.append(10_u32); - arr_1.append(11_u32); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + arr_1.append(9); + arr_1.append(10); + arr_1.append(11); let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0_u32); - arr_2.append(1_u32); - arr_2.append(2_u32); + arr_2.append(0); + arr_2.append(1); + arr_2.append(2); let extra = Option::::None(()); diff --git a/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo b/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo index 339f503df..1d7eb0d13 100644 --- a/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo +++ b/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo @@ -11,26 +11,26 @@ fn tensor_greater_equal_u32() { sizes.append(3); let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(7_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - arr_1.append(8_u32); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(7); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10_u32); - arr_2.append(11_u32); - arr_2.append(12_u32); - arr_2.append(13_u32); - arr_2.append(4_u32); - arr_2.append(5_u32); - arr_2.append(16_u32); - arr_2.append(17_u32); - arr_2.append(18_u32); + arr_2.append(10); + arr_2.append(11); + arr_2.append(12); + arr_2.append(13); + arr_2.append(4); + arr_2.append(5); + arr_2.append(16); + arr_2.append(17); + arr_2.append(18); let extra = Option::::None(()); @@ -76,23 +76,23 @@ fn tensor_greater_equal_u32_broadcast() { sizes_2.append(3); let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(5_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - arr_1.append(8_u32); - arr_1.append(9_u32); - arr_1.append(10_u32); - arr_1.append(11_u32); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + arr_1.append(9); + arr_1.append(10); + arr_1.append(11); let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0_u32); - arr_2.append(1_u32); - arr_2.append(2_u32); + arr_2.append(0); + arr_2.append(1); + arr_2.append(2); let extra = Option::::None(()); diff --git a/src/tests/operators/math/less/less_u32_test.cairo b/src/tests/operators/math/less/less_u32_test.cairo index b173cc045..9bfbd3e4d 100644 --- a/src/tests/operators/math/less/less_u32_test.cairo +++ b/src/tests/operators/math/less/less_u32_test.cairo @@ -11,26 +11,26 @@ fn tensor_less_u32() { sizes.append(3); let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(7_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - arr_1.append(8_u32); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(7); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10_u32); - arr_2.append(11_u32); - arr_2.append(12_u32); - arr_2.append(13_u32); - arr_2.append(4_u32); - arr_2.append(5_u32); - arr_2.append(16_u32); - arr_2.append(17_u32); - arr_2.append(18_u32); + arr_2.append(10); + arr_2.append(11); + arr_2.append(12); + arr_2.append(13); + arr_2.append(4); + arr_2.append(5); + arr_2.append(16); + arr_2.append(17); + arr_2.append(18); let extra = Option::::None(()); @@ -76,23 +76,23 @@ fn tensor_less_u32_broadcast() { sizes_2.append(3); let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(5_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - arr_1.append(8_u32); - arr_1.append(9_u32); - arr_1.append(10_u32); - arr_1.append(11_u32); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + arr_1.append(9); + arr_1.append(10); + arr_1.append(11); let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0_u32); - arr_2.append(1_u32); - arr_2.append(2_u32); + arr_2.append(0); + arr_2.append(1); + arr_2.append(2); let extra = Option::::None(()); diff --git a/src/tests/operators/math/less_equal/less_equal_u32_test.cairo b/src/tests/operators/math/less_equal/less_equal_u32_test.cairo index b2c5f5073..da59fb24d 100644 --- a/src/tests/operators/math/less_equal/less_equal_u32_test.cairo +++ b/src/tests/operators/math/less_equal/less_equal_u32_test.cairo @@ -11,26 +11,26 @@ fn tensor_less_equal_u32() { sizes.append(3); let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(7_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - arr_1.append(8_u32); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(7); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10_u32); - arr_2.append(11_u32); - arr_2.append(12_u32); - arr_2.append(13_u32); - arr_2.append(4_u32); - arr_2.append(5_u32); - arr_2.append(16_u32); - arr_2.append(17_u32); - arr_2.append(18_u32); + arr_2.append(10); + arr_2.append(11); + arr_2.append(12); + arr_2.append(13); + arr_2.append(4); + arr_2.append(5); + arr_2.append(16); + arr_2.append(17); + arr_2.append(18); let extra = Option::::None(()); @@ -76,23 +76,23 @@ fn tensor_less_equal_u32_broadcast() { sizes_2.append(3); let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(5_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - arr_1.append(8_u32); - arr_1.append(9_u32); - arr_1.append(10_u32); - arr_1.append(11_u32); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + arr_1.append(9); + arr_1.append(10); + arr_1.append(11); let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0_u32); - arr_2.append(1_u32); - arr_2.append(2_u32); + arr_2.append(0); + arr_2.append(1); + arr_2.append(2); let extra = Option::::None(()); diff --git a/src/tests/operators/math/ln_test.cairo b/src/tests/operators/math/ln_test.cairo index 5c76d27a4..86fdcc67e 100644 --- a/src/tests/operators/math/ln_test.cairo +++ b/src/tests/operators/math/ln_test.cairo @@ -16,10 +16,10 @@ fn ln_test() { sizes.append(4); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); - data.append(IntegerTrait::new(3_u32, false)); - data.append(IntegerTrait::new(100_u32, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + data.append(IntegerTrait::new(100, false)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); diff --git a/src/tests/operators/math/max_test.cairo b/src/tests/operators/math/max_test.cairo index 40d491cd7..21002dc29 100644 --- a/src/tests/operators/math/max_test.cairo +++ b/src/tests/operators/math/max_test.cairo @@ -8,5 +8,5 @@ fn max_tensor() { let tensor = i32_tensor_2x2x2_helper(); let result = tensor.max().mag; - assert(result == 7_u32, 'tensor.max = 7'); + assert(result == 7, 'tensor.max = 7'); } diff --git a/src/tests/operators/math/min_test.cairo b/src/tests/operators/math/min_test.cairo index 2f1d35a85..afd2b7d2b 100644 --- a/src/tests/operators/math/min_test.cairo +++ b/src/tests/operators/math/min_test.cairo @@ -8,5 +8,5 @@ fn min_tensor() { let tensor = i32_tensor_2x2x2_helper(); let result = tensor.min().mag; - assert(result == 0_u32, 'tensor.min = 0'); + assert(result == 0, 'tensor.min = 0'); } diff --git a/src/tests/operators/math/reduce_sum_test.cairo b/src/tests/operators/math/reduce_sum_test.cairo index c18d963ce..145ca109d 100644 --- a/src/tests/operators/math/reduce_sum_test.cairo +++ b/src/tests/operators/math/reduce_sum_test.cairo @@ -23,22 +23,22 @@ fn reduce_sum_3d() { let result = tensor.reduce_sum(0, false); - assert(*result.data.at(0).mag == 4_u32, 'result[0] = 4'); - assert(*result.data.at(1).mag == 6_u32, 'result[1] = 6'); - assert(*result.data.at(2).mag == 8_u32, 'result[2] = 8'); - assert(*result.data.at(3).mag == 10_u32, 'result[3] = 10'); + assert(*result.data.at(0).mag == 4, 'result[0] = 4'); + assert(*result.data.at(1).mag == 6, 'result[1] = 6'); + assert(*result.data.at(2).mag == 8, 'result[2] = 8'); + assert(*result.data.at(3).mag == 10, 'result[3] = 10'); let result = tensor.reduce_sum(1, false).data; - assert(*result.at(0).mag == 2_u32, 'result[0] = 2'); - assert(*result.at(1).mag == 4_u32, 'result[1] = 4'); - assert(*result.at(2).mag == 10_u32, 'result[2] = 10'); - assert(*result.at(3).mag == 12_u32, 'result[3] = 12'); + assert(*result.at(0).mag == 2, 'result[0] = 2'); + assert(*result.at(1).mag == 4, 'result[1] = 4'); + assert(*result.at(2).mag == 10, 'result[2] = 10'); + assert(*result.at(3).mag == 12, 'result[3] = 12'); let result = tensor.reduce_sum(2, false).data; - assert(*result.at(0).mag == 1_u32, 'result[0] = 1'); - assert(*result.at(1).mag == 5_u32, 'result[1] = 5'); - assert(*result.at(2).mag == 9_u32, 'result[2] = 9'); - assert(*result.at(3).mag == 13_u32, 'result[3] = 13'); + assert(*result.at(0).mag == 1, 'result[0] = 1'); + assert(*result.at(1).mag == 5, 'result[1] = 5'); + assert(*result.at(2).mag == 9, 'result[2] = 9'); + assert(*result.at(3).mag == 13, 'result[3] = 13'); } diff --git a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo index f7ddef031..c45af6f86 100644 --- a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo +++ b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo @@ -19,12 +19,12 @@ fn leaky_relu_i32_test() { shape.append(3); let mut data = ArrayTrait::::new(); - let val_1 = IntegerTrait::new(1_u32, false); - let val_2 = IntegerTrait::new(2_u32, false); - let val_3 = IntegerTrait::new(1_u32, true); - let val_4 = IntegerTrait::new(2_u32, true); - let val_5 = IntegerTrait::new(0_u32, false); - let val_6 = IntegerTrait::new(0_u32, false); + let val_1 = IntegerTrait::new(1, false); + let val_2 = IntegerTrait::new(2, false); + let val_3 = IntegerTrait::new(1, true); + let val_4 = IntegerTrait::new(2, true); + let val_5 = IntegerTrait::new(0, false); + let val_6 = IntegerTrait::new(0, false); data.append(val_1); data.append(val_2); diff --git a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo index d95b46563..e9ba81712 100644 --- a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo +++ b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo @@ -19,12 +19,12 @@ fn leaky_relu_u32_test() { shape.append(3); let mut data = ArrayTrait::::new(); - let val_1 = 4_u32; - let val_2 = 3_u32; - let val_3 = 2_u32; - let val_4 = 1_u32; - let val_5 = 0_u32; - let val_6 = 0_u32; + let val_1 = 4; + let val_2 = 3; + let val_3 = 2; + let val_4 = 1; + let val_5 = 0; + let val_6 = 0; data.append(val_1); data.append(val_2); @@ -37,7 +37,7 @@ fn leaky_relu_u32_test() { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let alpha = FixedTrait::new(838861, false); // 0.1 - let threshold = 3_u32; + let threshold = 3; let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); let data = *result.data.at(0); diff --git a/src/tests/operators/nn/functional/linear/linear_test.cairo b/src/tests/operators/nn/functional/linear/linear_test.cairo index 224d4f3ee..eea6d4e16 100644 --- a/src/tests/operators/nn/functional/linear/linear_test.cairo +++ b/src/tests/operators/nn/functional/linear/linear_test.cairo @@ -15,9 +15,9 @@ fn linear_test() { let mut shape = ArrayTrait::::new(); shape.append(3); let mut data = ArrayTrait::new(); - data.append(i32 { mag: 71_u32, sign: true }); - data.append(i32 { mag: 38_u32, sign: false }); - data.append(i32 { mag: 62_u32, sign: false }); + data.append(i32 { mag: 71, sign: true }); + data.append(i32 { mag: 38, sign: false }); + data.append(i32 { mag: 62, sign: false }); let extra = Option::::None(()); let inputs = TensorTrait::new(shape.span(), data.span(), extra); @@ -26,12 +26,12 @@ fn linear_test() { shape.append(2); shape.append(3); let mut data = ArrayTrait::new(); - data.append(i32 { mag: 8_u32, sign: true }); - data.append(i32 { mag: 64_u32, sign: false }); - data.append(i32 { mag: 40_u32, sign: false }); - data.append(i32 { mag: 33_u32, sign: true }); - data.append(i32 { mag: 34_u32, sign: true }); - data.append(i32 { mag: 20_u32, sign: true }); + data.append(i32 { mag: 8, sign: true }); + data.append(i32 { mag: 64, sign: false }); + data.append(i32 { mag: 40, sign: false }); + data.append(i32 { mag: 33, sign: true }); + data.append(i32 { mag: 34, sign: true }); + data.append(i32 { mag: 20, sign: true }); let extra = Option::::None(()); let weights = TensorTrait::new(shape.span(), data.span(), extra); @@ -39,29 +39,29 @@ fn linear_test() { let mut shape = ArrayTrait::::new(); shape.append(2); let mut data = ArrayTrait::new(); - data.append(i32 { mag: 61_u32, sign: false }); - data.append(i32 { mag: 71_u32, sign: true }); + data.append(i32 { mag: 61, sign: false }); + data.append(i32 { mag: 71, sign: true }); let extra = Option::::None(()); let bias = TensorTrait::new(shape.span(), data.span(), extra); // TEST UNQUANTIZED let result = NNTrait::linear(inputs, weights, bias, false).data; assert( - *result.at(0_usize).mag == 5541_u32 && *result.at(0_usize).sign == false, + *result.at(0_usize).mag == 5541 && *result.at(0_usize).sign == false, 'result[0] = 5541' ); assert( - *result.at(1_usize).mag == 260_u32 && *result.at(1_usize).sign == true, + *result.at(1_usize).mag == 260 && *result.at(1_usize).sign == true, 'result[1] = -260' ); // TEST QUANTIZED let result = NNTrait::linear(inputs, weights, bias, true).data; assert( - *result.at(0_usize).mag == 127_u32 && *result.at(0_usize).sign == false, + *result.at(0_usize).mag == 127 && *result.at(0_usize).sign == false, 'result[0] = 127' ); assert( - *result.at(1_usize).mag == 6_u32 && *result.at(1_usize).sign == true, 'result[1] = -6' + *result.at(1_usize).mag == 6 && *result.at(1_usize).sign == true, 'result[1] = -6' ); } diff --git a/src/tests/operators/nn/functional/relu/relu_i32_test.cairo b/src/tests/operators/nn/functional/relu/relu_i32_test.cairo index 5daba51d2..3621306df 100644 --- a/src/tests/operators/nn/functional/relu/relu_i32_test.cairo +++ b/src/tests/operators/nn/functional/relu/relu_i32_test.cairo @@ -15,10 +15,10 @@ fn relu_i32_test() { shape.append(2); let mut data = ArrayTrait::::new(); - let val_1 = IntegerTrait::new(1_u32, false); - let val_2 = IntegerTrait::new(2_u32, false); - let val_3 = IntegerTrait::new(1_u32, true); - let val_4 = IntegerTrait::new(2_u32, true); + let val_1 = IntegerTrait::new(1, false); + let val_2 = IntegerTrait::new(2, false); + let val_3 = IntegerTrait::new(1, true); + let val_4 = IntegerTrait::new(2, true); data.append(val_1); data.append(val_2); @@ -33,10 +33,10 @@ fn relu_i32_test() { let mut result = NNTrait::relu(@tensor, threshold); let data_0 = *result.data.at(0); - assert(data_0.mag == 1_u32, 'result[0] == 1'); + assert(data_0.mag == 1, 'result[0] == 1'); assert(data_0.sign == false, 'result[0] == 1'); let data_3 = *result.data.at(3); - assert(data_3.mag == 0_u32, 'result[3] == 0'); + assert(data_3.mag == 0, 'result[3] == 0'); assert(data_3.sign == false, 'result[3] == 0'); } diff --git a/src/tests/operators/nn/functional/relu/relu_u32_test.cairo b/src/tests/operators/nn/functional/relu/relu_u32_test.cairo index c95d803e1..9cd4d5274 100644 --- a/src/tests/operators/nn/functional/relu/relu_u32_test.cairo +++ b/src/tests/operators/nn/functional/relu/relu_u32_test.cairo @@ -15,10 +15,10 @@ fn relu_u32_test() { shape.append(2); let mut data = ArrayTrait::::new(); - let val_1 = 1_u32; - let val_2 = 2_u32; - let val_3 = 3_u32; - let val_4 = 4_u32; + let val_1 = 1; + let val_2 = 2; + let val_3 = 3; + let val_4 = 4; data.append(val_1); data.append(val_2); @@ -28,7 +28,7 @@ fn relu_u32_test() { let extra = Option::::None(()); let mut tensor = TensorTrait::new(shape.span(), data.span(), extra); - let threshold = 3_u32; + let threshold = 3; let mut result = NNTrait::relu(@tensor, threshold); let data_0 = *result.data.at(0); diff --git a/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo b/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo index 9cd5ac464..928c08074 100644 --- a/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo +++ b/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo @@ -19,10 +19,10 @@ fn sigmoid_i32_test() { shape.append(2); let mut data = ArrayTrait::::new(); - let val_1 = IntegerTrait::new(0_u32, false); - let val_2 = IntegerTrait::new(1_u32, false); - let val_3 = IntegerTrait::new(2_u32, true); - let val_4 = IntegerTrait::new(254_u32, false); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(254, false); data.append(val_1); data.append(val_2); diff --git a/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo b/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo index 47c3c9119..cffc26fd8 100644 --- a/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo +++ b/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo @@ -17,10 +17,10 @@ fn sigmoid_u32_test() { shape.append(2); let mut data = ArrayTrait::::new(); - let val_1 = 0_u32; - let val_2 = 1_u32; - let val_3 = 2_u32; - let val_4 = 254_u32; + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 254; data.append(val_1); data.append(val_2); diff --git a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo index 372e094ec..f54e206b8 100644 --- a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo +++ b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo @@ -18,10 +18,10 @@ fn softplus_i32_test() { shape.append(2); let mut data = ArrayTrait::::new(); - let val_1 = IntegerTrait::new(0_u32, false); - let val_2 = IntegerTrait::new(1_u32, false); - let val_3 = IntegerTrait::new(2_u32, true); - let val_4 = IntegerTrait::new(3_u32, true); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(3, true); data.append(val_1); data.append(val_2); diff --git a/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo b/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo index a93b6ca1b..9da2bb101 100644 --- a/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo +++ b/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo @@ -20,10 +20,10 @@ fn softplus_u32_test() { shape.append(2); let mut data = ArrayTrait::::new(); - let val_1 = 0_u32; - let val_2 = 1_u32; - let val_3 = 2_u32; - let val_4 = 3_u32; + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 3; data.append(val_1); data.append(val_2); diff --git a/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo b/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo index 97dca3688..5ece23df6 100644 --- a/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo +++ b/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo @@ -17,10 +17,10 @@ fn softsign_i32_test() { shape.append(2); let mut data = ArrayTrait::::new(); - let val_1 = IntegerTrait::new(0_u32, false); - let val_2 = IntegerTrait::new(1_u32, false); - let val_3 = IntegerTrait::new(2_u32, true); - let val_4 = IntegerTrait::new(3_u32, true); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(3, true); data.append(val_1); data.append(val_2); diff --git a/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo b/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo index 18423a1b5..a5158dbd3 100644 --- a/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo +++ b/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo @@ -21,10 +21,10 @@ fn softsign_u32_test() { shape.append(2); let mut data = ArrayTrait::::new(); - let val_1 = 0_u32; - let val_2 = 1_u32; - let val_3 = 2_u32; - let val_4 = 3_u32; + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 3; data.append(val_1); data.append(val_2); diff --git a/src/tests/operators/tensor/helpers/helpers_i32.cairo b/src/tests/operators/tensor/helpers/helpers_i32.cairo index 3a8dce18b..72d009a00 100644 --- a/src/tests/operators/tensor/helpers/helpers_i32.cairo +++ b/src/tests/operators/tensor/helpers/helpers_i32.cairo @@ -12,9 +12,9 @@ fn i32_tensor_1x3_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -30,10 +30,10 @@ fn i32_tensor_2x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); - data.append(IntegerTrait::new(3_u32, false)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -47,15 +47,15 @@ fn i32_tensor_3x3_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); - data.append(IntegerTrait::new(3_u32, false)); - data.append(IntegerTrait::new(4_u32, false)); - data.append(IntegerTrait::new(5_u32, false)); - data.append(IntegerTrait::new(6_u32, false)); - data.append(IntegerTrait::new(7_u32, false)); - data.append(IntegerTrait::new(8_u32, false)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + data.append(IntegerTrait::new(4, false)); + data.append(IntegerTrait::new(5, false)); + data.append(IntegerTrait::new(6, false)); + data.append(IntegerTrait::new(7, false)); + data.append(IntegerTrait::new(8, false)); let extra = Option::::None(()); @@ -70,12 +70,12 @@ fn i32_tensor_3x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); - data.append(IntegerTrait::new(3_u32, false)); - data.append(IntegerTrait::new(4_u32, false)); - data.append(IntegerTrait::new(5_u32, false)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + data.append(IntegerTrait::new(4, false)); + data.append(IntegerTrait::new(5, false)); let extra = Option::::None(()); @@ -90,9 +90,9 @@ fn i32_tensor_3x1_helper() -> Tensor { sizes.append(1); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); let extra = Option::::None(()); @@ -107,12 +107,12 @@ fn i32_tensor_2x3_helper() -> Tensor { sizes.append(3); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); - data.append(IntegerTrait::new(3_u32, false)); - data.append(IntegerTrait::new(4_u32, false)); - data.append(IntegerTrait::new(5_u32, false)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + data.append(IntegerTrait::new(4, false)); + data.append(IntegerTrait::new(5, false)); let extra = Option::::None(()); @@ -130,14 +130,14 @@ fn i32_tensor_2x2x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); - data.append(IntegerTrait::new(3_u32, false)); - data.append(IntegerTrait::new(4_u32, false)); - data.append(IntegerTrait::new(5_u32, false)); - data.append(IntegerTrait::new(6_u32, false)); - data.append(IntegerTrait::new(7_u32, false)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + data.append(IntegerTrait::new(4, false)); + data.append(IntegerTrait::new(5, false)); + data.append(IntegerTrait::new(6, false)); + data.append(IntegerTrait::new(7, false)); let extra = Option::::None(()); @@ -153,18 +153,18 @@ fn i32_tensor_3x2x2_helper() -> Tensor { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); - data.append(IntegerTrait::new(3_u32, false)); - data.append(IntegerTrait::new(4_u32, false)); - data.append(IntegerTrait::new(5_u32, false)); - data.append(IntegerTrait::new(6_u32, false)); - data.append(IntegerTrait::new(7_u32, false)); - data.append(IntegerTrait::new(8_u32, false)); - data.append(IntegerTrait::new(9_u32, false)); - data.append(IntegerTrait::new(10_u32, false)); - data.append(IntegerTrait::new(11_u32, false)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + data.append(IntegerTrait::new(4, false)); + data.append(IntegerTrait::new(5, false)); + data.append(IntegerTrait::new(6, false)); + data.append(IntegerTrait::new(7, false)); + data.append(IntegerTrait::new(8, false)); + data.append(IntegerTrait::new(9, false)); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(11, false)); let extra = Option::::None(()); diff --git a/src/tests/operators/tensor/tensor_test.cairo b/src/tests/operators/tensor/tensor_test.cairo index d642185e2..9596bb48f 100644 --- a/src/tests/operators/tensor/tensor_test.cairo +++ b/src/tests/operators/tensor/tensor_test.cairo @@ -21,9 +21,9 @@ fn wrong_shape_tensor_test() { sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); - data.append(IntegerTrait::new(2_u32, false)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); let extra = Option::::None(()); @@ -42,7 +42,7 @@ fn at_tensor_test() { let result = tensor.at(indices.span()).mag; - assert(result == 3_u32, 'result[3] = 3'); + assert(result == 3, 'result[3] = 3'); } #[test] @@ -151,14 +151,14 @@ fn add_tensor() { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0).mag == 0_u32, 'result[0] = 0'); - assert(*result.at(1).mag == 2_u32, 'result[1] = 2'); - assert(*result.at(2).mag == 4_u32, 'result[2] = 4'); - assert(*result.at(3).mag == 6_u32, 'result[3] = 6'); - assert(*result.at(4).mag == 8_u32, 'result[4] = 8'); - assert(*result.at(5).mag == 10_u32, 'result[5] = 10'); - assert(*result.at(6).mag == 12_u32, 'result[6] = 12'); - assert(*result.at(7).mag == 14_u32, 'result[7] = 14'); + assert(*result.at(0).mag == 0, 'result[0] = 0'); + assert(*result.at(1).mag == 2, 'result[1] = 2'); + assert(*result.at(2).mag == 4, 'result[2] = 4'); + assert(*result.at(3).mag == 6, 'result[3] = 6'); + assert(*result.at(4).mag == 8, 'result[4] = 8'); + assert(*result.at(5).mag == 10, 'result[5] = 10'); + assert(*result.at(6).mag == 12, 'result[6] = 12'); + assert(*result.at(7).mag == 14, 'result[7] = 14'); // broadcast operation @@ -167,63 +167,63 @@ fn add_tensor() { sizes.append(2); sizes.append(1); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(10_u32, false)); - data.append(IntegerTrait::new(100_u32, false)); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); let extra = Option::::None(()); let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); let result = (tensor_1 + tensor_2).data; - assert(*result.at(0).mag == 10_u32, 'result[0] = 10'); - assert(*result.at(1).mag == 11_u32, 'result[1] = 11'); - assert(*result.at(2).mag == 102_u32, 'result[2] = 102'); - assert(*result.at(3).mag == 103_u32, 'result[3] = 103'); - assert(*result.at(4).mag == 14_u32, 'result[4] = 14'); - assert(*result.at(5).mag == 15_u32, 'result[5] = 15'); - assert(*result.at(6).mag == 106_u32, 'result[6] = 106'); - assert(*result.at(7).mag == 107_u32, 'result[7] = 107'); + assert(*result.at(0).mag == 10, 'result[0] = 10'); + assert(*result.at(1).mag == 11, 'result[1] = 11'); + assert(*result.at(2).mag == 102, 'result[2] = 102'); + assert(*result.at(3).mag == 103, 'result[3] = 103'); + assert(*result.at(4).mag == 14, 'result[4] = 14'); + assert(*result.at(5).mag == 15, 'result[5] = 15'); + assert(*result.at(6).mag == 106, 'result[6] = 106'); + assert(*result.at(7).mag == 107, 'result[7] = 107'); let mut sizes = ArrayTrait::new(); sizes.append(2); sizes.append(1); sizes.append(1); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(10_u32, false)); - data.append(IntegerTrait::new(100_u32, false)); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); let extra = Option::::None(()); let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); let result = (tensor_1 + tensor_2).data; - assert(*result.at(0).mag == 10_u32, 'result[0] = 10'); - assert(*result.at(1).mag == 11_u32, 'result[1] = 11'); - assert(*result.at(2).mag == 12_u32, 'result[2] = 12'); - assert(*result.at(3).mag == 13_u32, 'result[3] = 13'); - assert(*result.at(4).mag == 104_u32, 'result[4] = 104'); - assert(*result.at(5).mag == 105_u32, 'result[5] = 105'); - assert(*result.at(6).mag == 106_u32, 'result[6] = 106'); - assert(*result.at(7).mag == 107_u32, 'result[7] = 107'); + assert(*result.at(0).mag == 10, 'result[0] = 10'); + assert(*result.at(1).mag == 11, 'result[1] = 11'); + assert(*result.at(2).mag == 12, 'result[2] = 12'); + assert(*result.at(3).mag == 13, 'result[3] = 13'); + assert(*result.at(4).mag == 104, 'result[4] = 104'); + assert(*result.at(5).mag == 105, 'result[5] = 105'); + assert(*result.at(6).mag == 106, 'result[6] = 106'); + assert(*result.at(7).mag == 107, 'result[7] = 107'); let mut sizes = ArrayTrait::new(); sizes.append(1); sizes.append(1); sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(10_u32, false)); - data.append(IntegerTrait::new(100_u32, false)); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); let extra = Option::::None(()); let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); let result = (tensor_1 + tensor_2).data; - assert(*result.at(0).mag == 10_u32, 'result[0] = 10'); - assert(*result.at(1).mag == 101_u32, 'result[1] = 101'); - assert(*result.at(2).mag == 12_u32, 'result[2] = 12'); - assert(*result.at(3).mag == 103_u32, 'result[3] = 103'); - assert(*result.at(4).mag == 14_u32, 'result[4] = 14'); - assert(*result.at(5).mag == 105_u32, 'result[5] = 105'); - assert(*result.at(6).mag == 16_u32, 'result[6] = 16'); - assert(*result.at(7).mag == 107_u32, 'result[7] = 107'); + assert(*result.at(0).mag == 10, 'result[0] = 10'); + assert(*result.at(1).mag == 101, 'result[1] = 101'); + assert(*result.at(2).mag == 12, 'result[2] = 12'); + assert(*result.at(3).mag == 103, 'result[3] = 103'); + assert(*result.at(4).mag == 14, 'result[4] = 14'); + assert(*result.at(5).mag == 105, 'result[5] = 105'); + assert(*result.at(6).mag == 16, 'result[6] = 16'); + assert(*result.at(7).mag == 107, 'result[7] = 107'); } #[test] @@ -234,14 +234,14 @@ fn sub_tensor() { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0).mag == 0_u32, 'result[0] = 0'); - assert(*result.at(1).mag == 0_u32, 'result[1] = 0'); - assert(*result.at(2).mag == 0_u32, 'result[2] = 0'); - assert(*result.at(3).mag == 0_u32, 'result[3] = 0'); - assert(*result.at(4).mag == 0_u32, 'result[4] = 0'); - assert(*result.at(5).mag == 0_u32, 'result[5] = 0'); - assert(*result.at(6).mag == 0_u32, 'result[6] = 0'); - assert(*result.at(7).mag == 0_u32, 'result[7] = 0'); + assert(*result.at(0).mag == 0, 'result[0] = 0'); + assert(*result.at(1).mag == 0, 'result[1] = 0'); + assert(*result.at(2).mag == 0, 'result[2] = 0'); + assert(*result.at(3).mag == 0, 'result[3] = 0'); + assert(*result.at(4).mag == 0, 'result[4] = 0'); + assert(*result.at(5).mag == 0, 'result[5] = 0'); + assert(*result.at(6).mag == 0, 'result[6] = 0'); + assert(*result.at(7).mag == 0, 'result[7] = 0'); // broadcast operation @@ -250,21 +250,21 @@ fn sub_tensor() { sizes.append(2); sizes.append(1); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0_u32, false)); - data.append(IntegerTrait::new(1_u32, false)); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); let extra = Option::::None(()); let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); let result = (tensor_1 - tensor_2).data; - assert(*result.at(0).mag == 0_u32, 'result[0] = 0'); - assert(*result.at(1).mag == 1_u32, 'result[1] = 1'); - assert(*result.at(2).mag == 1_u32, 'result[2] = 1'); - assert(*result.at(3).mag == 2_u32, 'result[3] = 2'); - assert(*result.at(4).mag == 4_u32, 'result[4] = 4'); - assert(*result.at(5).mag == 5_u32, 'result[5] = 5'); - assert(*result.at(6).mag == 5_u32, 'result[6] = 5'); - assert(*result.at(7).mag == 6_u32, 'result[7] = 6'); + assert(*result.at(0).mag == 0, 'result[0] = 0'); + assert(*result.at(1).mag == 1, 'result[1] = 1'); + assert(*result.at(2).mag == 1, 'result[2] = 1'); + assert(*result.at(3).mag == 2, 'result[3] = 2'); + assert(*result.at(4).mag == 4, 'result[4] = 4'); + assert(*result.at(5).mag == 5, 'result[5] = 5'); + assert(*result.at(6).mag == 5, 'result[6] = 5'); + assert(*result.at(7).mag == 6, 'result[7] = 6'); } #[test] @@ -275,14 +275,14 @@ fn mul_tensor() { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0).mag == 0_u32, 'result[0] = 0'); - assert(*result.at(1).mag == 1_u32, 'result[1] = 1'); - assert(*result.at(2).mag == 4_u32, 'result[2] = 4'); - assert(*result.at(3).mag == 9_u32, 'result[3] = 9'); - assert(*result.at(4).mag == 16_u32, 'result[4] = 16'); - assert(*result.at(5).mag == 25_u32, 'result[5] = 25'); - assert(*result.at(6).mag == 36_u32, 'result[6] = 36'); - assert(*result.at(7).mag == 49_u32, 'result[7] = 49'); + assert(*result.at(0).mag == 0, 'result[0] = 0'); + assert(*result.at(1).mag == 1, 'result[1] = 1'); + assert(*result.at(2).mag == 4, 'result[2] = 4'); + assert(*result.at(3).mag == 9, 'result[3] = 9'); + assert(*result.at(4).mag == 16, 'result[4] = 16'); + assert(*result.at(5).mag == 25, 'result[5] = 25'); + assert(*result.at(6).mag == 36, 'result[6] = 36'); + assert(*result.at(7).mag == 49, 'result[7] = 49'); // broadcast operation @@ -291,21 +291,21 @@ fn mul_tensor() { sizes.append(2); sizes.append(1); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(10_u32, false)); - data.append(IntegerTrait::new(100_u32, false)); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); let extra = Option::::None(()); let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); let result = (tensor_1 * tensor_2).data; - assert(*result.at(0).mag == 0_u32, 'result[0] = 0'); - assert(*result.at(1).mag == 10_u32, 'result[1] = 10'); - assert(*result.at(2).mag == 200_u32, 'result[2] = 200'); - assert(*result.at(3).mag == 300_u32, 'result[3] = 300'); - assert(*result.at(4).mag == 40_u32, 'result[4] = 40'); - assert(*result.at(5).mag == 50_u32, 'result[5] = 50'); - assert(*result.at(6).mag == 600_u32, 'result[6] = 600'); - assert(*result.at(7).mag == 700_u32, 'result[7] = 700'); + assert(*result.at(0).mag == 0, 'result[0] = 0'); + assert(*result.at(1).mag == 10, 'result[1] = 10'); + assert(*result.at(2).mag == 200, 'result[2] = 200'); + assert(*result.at(3).mag == 300, 'result[3] = 300'); + assert(*result.at(4).mag == 40, 'result[4] = 40'); + assert(*result.at(5).mag == 50, 'result[5] = 50'); + assert(*result.at(6).mag == 600, 'result[6] = 600'); + assert(*result.at(7).mag == 700, 'result[7] = 700'); } #[test] @@ -316,14 +316,14 @@ fn div_tensor() { sizes.append(2); sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(100_u32, false)); - data.append(IntegerTrait::new(200_u32, false)); - data.append(IntegerTrait::new(300_u32, false)); - data.append(IntegerTrait::new(400_u32, false)); - data.append(IntegerTrait::new(500_u32, false)); - data.append(IntegerTrait::new(600_u32, false)); - data.append(IntegerTrait::new(700_u32, false)); - data.append(IntegerTrait::new(800_u32, false)); + data.append(IntegerTrait::new(100, false)); + data.append(IntegerTrait::new(200, false)); + data.append(IntegerTrait::new(300, false)); + data.append(IntegerTrait::new(400, false)); + data.append(IntegerTrait::new(500, false)); + data.append(IntegerTrait::new(600, false)); + data.append(IntegerTrait::new(700, false)); + data.append(IntegerTrait::new(800, false)); let extra = Option::::None(()); let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); @@ -332,27 +332,27 @@ fn div_tensor() { sizes.append(2); sizes.append(2); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(100_u32, false)); - data.append(IntegerTrait::new(200_u32, false)); - data.append(IntegerTrait::new(300_u32, false)); - data.append(IntegerTrait::new(400_u32, false)); - data.append(IntegerTrait::new(500_u32, false)); - data.append(IntegerTrait::new(600_u32, false)); - data.append(IntegerTrait::new(700_u32, false)); - data.append(IntegerTrait::new(800_u32, false)); + data.append(IntegerTrait::new(100, false)); + data.append(IntegerTrait::new(200, false)); + data.append(IntegerTrait::new(300, false)); + data.append(IntegerTrait::new(400, false)); + data.append(IntegerTrait::new(500, false)); + data.append(IntegerTrait::new(600, false)); + data.append(IntegerTrait::new(700, false)); + data.append(IntegerTrait::new(800, false)); let extra = Option::::None(()); let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); let result = (tensor_1 / tensor_2).data; - assert(*result.at(0).mag == 1_u32, 'result[0] = 1'); - assert(*result.at(1).mag == 1_u32, 'result[1] = 1'); - assert(*result.at(2).mag == 1_u32, 'result[2] = 1'); - assert(*result.at(3).mag == 1_u32, 'result[3] = 1'); - assert(*result.at(4).mag == 1_u32, 'result[4] = 1'); - assert(*result.at(5).mag == 1_u32, 'result[5] = 1'); - assert(*result.at(6).mag == 1_u32, 'result[6] = 1'); - assert(*result.at(7).mag == 1_u32, 'result[7] = 1'); + assert(*result.at(0).mag == 1, 'result[0] = 1'); + assert(*result.at(1).mag == 1, 'result[1] = 1'); + assert(*result.at(2).mag == 1, 'result[2] = 1'); + assert(*result.at(3).mag == 1, 'result[3] = 1'); + assert(*result.at(4).mag == 1, 'result[4] = 1'); + assert(*result.at(5).mag == 1, 'result[5] = 1'); + assert(*result.at(6).mag == 1, 'result[6] = 1'); + assert(*result.at(7).mag == 1, 'result[7] = 1'); // broadcast operation @@ -361,21 +361,21 @@ fn div_tensor() { sizes.append(2); sizes.append(1); let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(10_u32, false)); - data.append(IntegerTrait::new(100_u32, false)); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); let extra = Option::::None(()); let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); let result = (tensor_1 / tensor_2).data; - assert(*result.at(0).mag == 10_u32, 'result[0] = 10'); - assert(*result.at(1).mag == 20_u32, 'result[1] = 20'); - assert(*result.at(2).mag == 3_u32, 'result[2] = 3'); - assert(*result.at(3).mag == 4_u32, 'result[3] = 4'); - assert(*result.at(4).mag == 50_u32, 'result[4] = 50'); - assert(*result.at(5).mag == 60_u32, 'result[5] = 60'); - assert(*result.at(6).mag == 7_u32, 'result[6] = 7'); - assert(*result.at(7).mag == 8_u32, 'result[7] = 8'); + assert(*result.at(0).mag == 10, 'result[0] = 10'); + assert(*result.at(1).mag == 20, 'result[1] = 20'); + assert(*result.at(2).mag == 3, 'result[2] = 3'); + assert(*result.at(3).mag == 4, 'result[3] = 4'); + assert(*result.at(4).mag == 50, 'result[4] = 50'); + assert(*result.at(5).mag == 60, 'result[5] = 60'); + assert(*result.at(6).mag == 7, 'result[6] = 7'); + assert(*result.at(7).mag == 8, 'result[7] = 8'); } #[test] diff --git a/src/tests/performance/quantization_test.cairo b/src/tests/performance/quantization_test.cairo index 584dfd444..a6c257a07 100644 --- a/src/tests/performance/quantization_test.cairo +++ b/src/tests/performance/quantization_test.cairo @@ -19,34 +19,34 @@ fn quantize_linear_test() { shape.append(2); let mut data = ArrayTrait::::new(); - data.append(IntegerTrait::new(30523_u32, true)); - data.append(IntegerTrait::new(24327_u32, false)); - data.append(IntegerTrait::new(12288_u32, true)); - data.append(IntegerTrait::new(29837_u32, false)); - data.append(IntegerTrait::new(19345_u32, true)); - data.append(IntegerTrait::new(15416_u32, false)); + data.append(IntegerTrait::new(30523, true)); + data.append(IntegerTrait::new(24327, false)); + data.append(IntegerTrait::new(12288, true)); + data.append(IntegerTrait::new(29837, false)); + data.append(IntegerTrait::new(19345, true)); + data.append(IntegerTrait::new(15416, false)); let extra = Option::::None(()); let tensor = TensorTrait::new(shape.span(), data.span(), extra); let mut res = PerfomanceTrait::quantize_linear(@tensor); - assert(*res.data.at(0_usize).mag == 127_u32, '*result[0] == -127'); + assert(*res.data.at(0_usize).mag == 127, '*result[0] == -127'); assert(*res.data.at(0_usize).sign == true, '*result[0] -> negative'); - assert(*res.data.at(1_usize).mag == 101_u32, '*result[1] == 101'); + assert(*res.data.at(1_usize).mag == 101, '*result[1] == 101'); assert(*res.data.at(1_usize).sign == false, '*result[1] -> positive'); - assert(*res.data.at(2_usize).mag == 51_u32, '*result[2] == -51'); + assert(*res.data.at(2_usize).mag == 51, '*result[2] == -51'); assert(*res.data.at(2_usize).sign == true, '*result[2] -> negative'); - assert(*res.data.at(3_usize).mag == 124_u32, '*result[3] == 124'); + assert(*res.data.at(3_usize).mag == 124, '*result[3] == 124'); assert(*res.data.at(3_usize).sign == false, '*result[3] -> positive'); - assert(*res.data.at(4_usize).mag == 80_u32, '*result[4] == -80'); + assert(*res.data.at(4_usize).mag == 80, '*result[4] == -80'); assert(*res.data.at(4_usize).sign == true, '*result[4] -> negative'); - assert(*res.data.at(5_usize).mag == 64_u32, '*result[5] == 64'); + assert(*res.data.at(5_usize).mag == 64, '*result[5] == 64'); assert(*res.data.at(5_usize).sign == false, '*result[5] -> positive'); } From 0509b9c8b3f72151f97a187bc0e99974125586f1 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Tue, 20 Jun 2023 20:32:19 +0300 Subject: [PATCH 020/126] Update CHANGELOG.md --- docs/CHANGELOG.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md index aff40fded..e3956cf25 100644 --- a/docs/CHANGELOG.md +++ b/docs/CHANGELOG.md @@ -4,6 +4,11 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [Unreleased] - 2023-06-20 + +### Changed +- Upgrade Cairo version to v2.0.0-rc + ## [Unreleased] - 2023-06-17 ### Added From 3f3c5b2e6e86dd1edf110c8d2e2ce7f138dbfa3c Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Tue, 20 Jun 2023 20:34:15 +0300 Subject: [PATCH 021/126] Update test.yaml --- .github/workflows/test.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml index 1bb4ad0d7..326a89aac 100644 --- a/.github/workflows/test.yaml +++ b/.github/workflows/test.yaml @@ -3,7 +3,7 @@ name: Tests on: [push, pull_request] env: - ARCHIVE_LINK: https://github.com/starkware-libs/cairo/releases/download/v1.1.0/release-x86_64-unknown-linux-musl.tar.gz + ARCHIVE_LINK: https://github.com/starkware-libs/cairo/releases/download/v2.0.0-rc3/release-x86_64-unknown-linux-musl.tar.gz ARCHIVE_NAME: cairo.zip jobs: From a728e0738063e2e20e8b4bcad40227b4932b9883 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Tue, 20 Jun 2023 22:07:15 +0300 Subject: [PATCH 022/126] fix build errors --- src/tests/helpers/tensor/fixed_point/fp16x16.cairo | 4 ++-- src/tests/helpers/tensor/fixed_point/fp8x23.cairo | 4 ++-- src/tests/helpers/tensor/i32.cairo | 2 +- .../matmul/matmul_fp_test/matmul_fp16x16_test.cairo | 4 ++-- .../linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo | 4 ++-- src/tests/operators/linalg/matmul/matmul_u32_test.cairo | 2 +- .../operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo | 4 ++-- .../operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo | 4 ++-- .../math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo | 4 ++-- .../math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo | 4 ++-- .../math/equal/equal_fp_test/equal_fp16x16_test.cairo | 4 ++-- .../math/equal/equal_fp_test/equal_fp8x23_test.cairo | 4 ++-- src/tests/operators/math/exp_test.cairo | 2 +- src/tests/operators/math/greater/greater_fp_test.cairo | 3 +-- .../greater/greater_fp_test/greater_fp16x16_test.cairo | 4 ++-- .../greater/greater_fp_test/greater_fp8x23_test.cairo | 4 ++-- src/tests/operators/math/ln_test.cairo | 2 +- .../nn/functional/leaky_relu/leaky_relu_i32_test.cairo | 8 ++++---- .../nn/functional/logsoftmax/logsoftmax_test.cairo | 2 +- .../operators/nn/functional/softmax/softmax_test.cairo | 2 +- .../nn/functional/softplus/softplus_i32_test.cairo | 2 +- .../nn/functional/softsign/softsign_i32_test.cairo | 2 +- 22 files changed, 37 insertions(+), 38 deletions(-) diff --git a/src/tests/helpers/tensor/fixed_point/fp16x16.cairo b/src/tests/helpers/tensor/fixed_point/fp16x16.cairo index 279f6df41..c07b396c7 100644 --- a/src/tests/helpers/tensor/fixed_point/fp16x16.cairo +++ b/src/tests/helpers/tensor/fixed_point/fp16x16.cairo @@ -1,8 +1,8 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; -use orion::numbers::fixed_point::implementations::impl_16x16; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; // 1D diff --git a/src/tests/helpers/tensor/fixed_point/fp8x23.cairo b/src/tests/helpers/tensor/fixed_point/fp8x23.cairo index 2b978cd46..9d817f833 100644 --- a/src/tests/helpers/tensor/fixed_point/fp8x23.cairo +++ b/src/tests/helpers/tensor/fixed_point/fp8x23.cairo @@ -1,8 +1,8 @@ use array::ArrayTrait; use array::SpanTrait; use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; // 1D diff --git a/src/tests/helpers/tensor/i32.cairo b/src/tests/helpers/tensor/i32.cairo index b01ce5a3e..4f29cbf4f 100644 --- a/src/tests/helpers/tensor/i32.cairo +++ b/src/tests/helpers/tensor/i32.cairo @@ -3,7 +3,7 @@ use array::SpanTrait; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::implementations::impl_tensor_i32; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; // 1D diff --git a/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp16x16_test.cairo b/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp16x16_test.cairo index fa6e7a843..90377bde8 100644 --- a/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp16x16_test.cairo +++ b/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp16x16_test.cairo @@ -2,9 +2,9 @@ use array::ArrayTrait; use array::SpanTrait; use traits::Into; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; use orion::numbers::fixed_point::core::FixedTrait; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::TensorTrait; use orion::tests::helpers::tensor::fixed_point::fp16x16::{ fp_tensor_1x3_helper, fp_tensor_2x2_helper, fp_tensor_3x3_helper diff --git a/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo b/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo index 01e507caf..fe97ce874 100644 --- a/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo +++ b/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo @@ -2,9 +2,9 @@ use array::ArrayTrait; use array::SpanTrait; use traits::Into; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; use orion::numbers::fixed_point::core::FixedTrait; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::TensorTrait; use orion::tests::helpers::tensor::fixed_point::fp8x23::{ fp_tensor_1x3_helper, fp_tensor_2x2_helper, fp_tensor_3x3_helper diff --git a/src/tests/operators/linalg/matmul/matmul_u32_test.cairo b/src/tests/operators/linalg/matmul/matmul_u32_test.cairo index 62196a0c9..216e26a82 100644 --- a/src/tests/operators/linalg/matmul/matmul_u32_test.cairo +++ b/src/tests/operators/linalg/matmul/matmul_u32_test.cairo @@ -2,7 +2,7 @@ use array::ArrayTrait; use array::SpanTrait; use traits::Into; -use orion::operators::tensor::implementations::impl_tensor_u32; +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; use orion::operators::tensor::core::TensorTrait; use orion::tests::helpers::tensor::u32::{ u32_tensor_1x3_helper, u32_tensor_2x2_helper, u32_tensor_3x3_helper diff --git a/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo b/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo index a22ca9bd3..57ae325cf 100644 --- a/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo +++ b/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo @@ -2,13 +2,13 @@ use array::SpanTrait; use array::ArrayTrait; use core::traits::Into; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::tests::helpers::tensor::fixed_point::fp16x16::{ fp_tensor_1x3_neg_helper, fp_tensor_2x2_neg_helper, fp_tensor_2x2x2_neg_helper }; use orion::numbers::fixed_point::core::{FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; // ===== 1D ===== // diff --git a/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo b/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo index 1900f6018..a5a61bd1a 100644 --- a/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo +++ b/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo @@ -2,13 +2,13 @@ use array::SpanTrait; use array::ArrayTrait; use core::traits::Into; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::tests::helpers::tensor::fixed_point::fp8x23::{ fp_tensor_1x3_neg_helper, fp_tensor_2x2_neg_helper, fp_tensor_2x2x2_neg_helper }; use orion::numbers::fixed_point::core::{FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; // ===== 1D ===== // diff --git a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo index 5879d7226..6cdd4fc9c 100644 --- a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo +++ b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo @@ -1,10 +1,10 @@ use array::SpanTrait; use array::ArrayTrait; use option::OptionTrait; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; // ===== 1D ===== // diff --git a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo index a91c2894f..71c623c16 100644 --- a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo +++ b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo @@ -1,10 +1,10 @@ use array::SpanTrait; use array::ArrayTrait; use option::OptionTrait; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; // ===== 1D ===== // diff --git a/src/tests/operators/math/equal/equal_fp_test/equal_fp16x16_test.cairo b/src/tests/operators/math/equal/equal_fp_test/equal_fp16x16_test.cairo index af03a260b..6b8144d49 100644 --- a/src/tests/operators/math/equal/equal_fp_test/equal_fp16x16_test.cairo +++ b/src/tests/operators/math/equal/equal_fp_test/equal_fp16x16_test.cairo @@ -1,10 +1,10 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; // ===== 1D ===== // diff --git a/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo b/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo index a2ad15dfe..95b4a3aa8 100644 --- a/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo +++ b/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo @@ -1,10 +1,10 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; // ===== 1D ===== // diff --git a/src/tests/operators/math/exp_test.cairo b/src/tests/operators/math/exp_test.cairo index 2a553ebef..5952de07a 100644 --- a/src/tests/operators/math/exp_test.cairo +++ b/src/tests/operators/math/exp_test.cairo @@ -3,7 +3,7 @@ use traits::Into; use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::operators::tensor::core::{TensorTrait, }; -use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2_helper; +use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; #[test] diff --git a/src/tests/operators/math/greater/greater_fp_test.cairo b/src/tests/operators/math/greater/greater_fp_test.cairo index 8920240a6..10e5501a2 100644 --- a/src/tests/operators/math/greater/greater_fp_test.cairo +++ b/src/tests/operators/math/greater/greater_fp_test.cairo @@ -1,3 +1,2 @@ mod greater_fp8x23_test; -// TODO: The following panics with "Failed setting up runner. - Failed calculating gas usage" -// mod greater_fp16x16_test; +mod greater_fp16x16_test; diff --git a/src/tests/operators/math/greater/greater_fp_test/greater_fp16x16_test.cairo b/src/tests/operators/math/greater/greater_fp_test/greater_fp16x16_test.cairo index 32139941e..ad69703de 100644 --- a/src/tests/operators/math/greater/greater_fp_test/greater_fp16x16_test.cairo +++ b/src/tests/operators/math/greater/greater_fp_test/greater_fp16x16_test.cairo @@ -1,10 +1,10 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_16x16; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; // ===== 1D ===== // diff --git a/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo b/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo index ee1b48916..ae9a42af2 100644 --- a/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo +++ b/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo @@ -1,10 +1,10 @@ use array::SpanTrait; use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; // ===== 1D ===== // diff --git a/src/tests/operators/math/ln_test.cairo b/src/tests/operators/math/ln_test.cairo index 86fdcc67e..fcd34d77b 100644 --- a/src/tests/operators/math/ln_test.cairo +++ b/src/tests/operators/math/ln_test.cairo @@ -4,7 +4,7 @@ use array::ArrayTrait; use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::tests::operators::tensor::helpers::helpers_i32::i32_tensor_2x2_helper; +use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; diff --git a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo index 059251360..8eb08aa33 100644 --- a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo +++ b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo @@ -2,15 +2,15 @@ use core::option::OptionTrait; use array::ArrayTrait; use array::SpanTrait; use traits::Into; +use core::integer::NumericLiteral; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::nn::core::{NNTrait}; +use orion::operators::nn::core::NNTrait; use orion::operators::nn::implementations::impl_nn_i32::NN_i32; use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; - -use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, ONE}; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, ONE, FP8x23Into}; #[test] #[available_gas(2000000)] @@ -43,7 +43,7 @@ fn leaky_relu_i32_test() { let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); assert((*result.data.at(0)).into() == 8388608, 'result[0] == 8388608'); // 1 - assert((*result.data.at(3)).into() == - 1677722, 'result[3] == - 1677722'); // 2 * 0.1 = - 0.2 + assert((*result.data.at(3)).into() == -1677722, 'result[3] == - 1677722'); // 2 * 0.1 = - 0.2 assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); } diff --git a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo index 72da585c1..abf545b34 100644 --- a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo +++ b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo @@ -5,7 +5,7 @@ use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::fixed_point::core::FixedImpl; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; use orion::operators::nn::core::NNTrait; use orion::operators::nn::implementations::impl_nn_i32::NN_i32; diff --git a/src/tests/operators/nn/functional/softmax/softmax_test.cairo b/src/tests/operators/nn/functional/softmax/softmax_test.cairo index 590498534..d40fad2d1 100644 --- a/src/tests/operators/nn/functional/softmax/softmax_test.cairo +++ b/src/tests/operators/nn/functional/softmax/softmax_test.cairo @@ -5,7 +5,7 @@ use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; use orion::numbers::fixed_point::core::FixedImpl; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; use orion::operators::nn::core::NNTrait; use orion::operators::nn::implementations::impl_nn_i32::NN_i32; diff --git a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo index 664cf76a0..0b3ac1cde 100644 --- a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo +++ b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo @@ -9,7 +9,7 @@ use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::NNTrait; use orion::operators::nn::implementations::impl_nn_i32::NN_i32; use orion::numbers::fixed_point::core::FixedImpl; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; #[test] #[available_gas(50000000)] diff --git a/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo b/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo index 752d3b38c..d7c8417a8 100644 --- a/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo +++ b/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo @@ -9,7 +9,7 @@ use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; use orion::operators::nn::core::NNTrait; use orion::operators::nn::implementations::impl_nn_i32::NN_i32; use orion::numbers::fixed_point::core::FixedImpl; -use orion::numbers::fixed_point::implementations::impl_8x23; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; #[test] #[available_gas(2000000)] From cbf14fea9567509cdb5e3f69f21ac92a8983fea1 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 09:59:32 +0300 Subject: [PATCH 023/126] encapsulate tests in modules for each dimension --- .../abs/abs_fp_test/abs_fp16x16_test.cairo | 104 ++-- .../abs/abs_fp_test/abs_fp8x23_test.cairo | 103 ++-- .../operators/math/abs/abs_i32_test.cairo | 110 ++-- .../operators/math/abs/abs_u32_test.cairo | 82 ++- .../ceil/ceil_fp_test/ceil_fp16x16_test.cairo | 171 +++--- .../ceil/ceil_fp_test/ceil_fp8x23_test.cairo | 169 +++--- .../operators/math/ceil/ceil_i32_test.cairo | 118 ++-- .../operators/math/ceil/ceil_u32_test.cairo | 101 ++-- .../equal_fp_test/equal_fp16x16_test.cairo | 502 ++++++++-------- .../equal_fp_test/equal_fp8x23_test.cairo | 506 ++++++++-------- .../operators/math/equal/equal_i32_test.cairo | 498 ++++++++-------- .../operators/math/equal/equal_u32_test.cairo | 505 ++++++++-------- .../greater_fp16x16_test.cairo | 559 ++++++++--------- .../greater_fp_test/greater_fp8x23_test.cairo | 561 +++++++++--------- .../math/greater/greater_i32_test.cairo | 558 ++++++++--------- .../math/greater/greater_u32_test.cairo | 559 ++++++++--------- 16 files changed, 2791 insertions(+), 2415 deletions(-) diff --git a/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo b/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo index 57ae325cf..fe91bda3a 100644 --- a/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo +++ b/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo @@ -1,56 +1,70 @@ -use array::SpanTrait; -use array::ArrayTrait; -use core::traits::Into; - -use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::tests::helpers::tensor::fixed_point::fp16x16::{ - fp_tensor_1x3_neg_helper, fp_tensor_2x2_neg_helper, fp_tensor_2x2x2_neg_helper -}; -use orion::numbers::fixed_point::core::{FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; - - // ===== 1D ===== // -#[test] -#[available_gas(2000000000)] -fn abs_1D() { - let tensor = fp_tensor_1x3_neg_helper(); - let result = tensor.abs(); - assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); - assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[0] = 2'); +#[cfg(test)] +mod tensor_1D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_neg_helper; + use orion::numbers::fixed_point::core::{FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(2000000000)] + fn tensor_abs() { + let tensor = fp_tensor_1x3_neg_helper(); + let result = tensor.abs(); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[0] = 2'); + } } + // ===== 2D ===== // -#[test] -#[available_gas(2000000000)] -fn abs_2D() { - let tensor = fp_tensor_2x2_neg_helper(); - let result = tensor.abs(); - assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); - assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); +#[cfg(test)] +mod tensor_2D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_neg_helper; + use orion::numbers::fixed_point::core::{FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(2000000000)] + fn tensor_abs() { + let tensor = fp_tensor_2x2_neg_helper(); + let result = tensor.abs(); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + } } // ===== 3D ===== // -#[test] -#[available_gas(2000000000)] -fn abs_3D() { - let tensor = fp_tensor_2x2x2_neg_helper(); - let result = tensor.abs(); - - assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); - assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); - assert(*result.data[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); - assert(*result.data[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); - assert(*result.data[6] == FixedTrait::new_unscaled(6, false), 'result[6] = 6'); - assert(*result.data[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); -} +#[cfg(test)] +mod tensor_3D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_neg_helper; + use orion::numbers::fixed_point::core::{FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + #[test] + #[available_gas(2000000000)] + fn tensor_abs() { + let tensor = fp_tensor_2x2x2_neg_helper(); + let result = tensor.abs(); + + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.data[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result.data[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.data[6] == FixedTrait::new_unscaled(6, false), 'result[6] = 6'); + assert(*result.data[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + } +} diff --git a/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo b/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo index a5a61bd1a..878719c1e 100644 --- a/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo +++ b/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo @@ -1,56 +1,69 @@ -use array::SpanTrait; -use array::ArrayTrait; -use core::traits::Into; - -use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::tests::helpers::tensor::fixed_point::fp8x23::{ - fp_tensor_1x3_neg_helper, fp_tensor_2x2_neg_helper, fp_tensor_2x2x2_neg_helper -}; -use orion::numbers::fixed_point::core::{FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; - - // ===== 1D ===== // -#[test] -#[available_gas(2000000000)] -fn abs_1D() { - let tensor = fp_tensor_1x3_neg_helper(); - let result = tensor.abs(); - assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); - assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[0] = 2'); +#[cfg(test)] +mod tensor_1D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_neg_helper; + use orion::numbers::fixed_point::core::{FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(2000000000)] + fn tensor_abs() { + let tensor = fp_tensor_1x3_neg_helper(); + let result = tensor.abs(); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[0] = 2'); + } } // ===== 2D ===== // -#[test] -#[available_gas(2000000000)] -fn abs_2D() { - let tensor = fp_tensor_2x2_neg_helper(); - let result = tensor.abs(); - assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); - assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); +#[cfg(test)] +mod tensor_2D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_neg_helper; + use orion::numbers::fixed_point::core::{FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(2000000000)] + fn tensor_abs() { + let tensor = fp_tensor_2x2_neg_helper(); + let result = tensor.abs(); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + } } // ===== 3D ===== // -#[test] -#[available_gas(2000000000)] -fn abs_3D() { - let tensor = fp_tensor_2x2x2_neg_helper(); - let result = tensor.abs(); - - assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); - assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); - assert(*result.data[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); - assert(*result.data[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); - assert(*result.data[6] == FixedTrait::new_unscaled(6, false), 'result[6] = 6'); - assert(*result.data[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); -} +#[cfg(test)] +mod tensor_3D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_neg_helper; + use orion::numbers::fixed_point::core::{FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + #[test] + #[available_gas(2000000000)] + fn tensor_abs() { + let tensor = fp_tensor_2x2x2_neg_helper(); + let result = tensor.abs(); + + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.data[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result.data[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.data[6] == FixedTrait::new_unscaled(6, false), 'result[6] = 6'); + assert(*result.data[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + } +} diff --git a/src/tests/operators/math/abs/abs_i32_test.cairo b/src/tests/operators/math/abs/abs_i32_test.cairo index f2c4173df..4a371ec4a 100644 --- a/src/tests/operators/math/abs/abs_i32_test.cairo +++ b/src/tests/operators/math/abs/abs_i32_test.cairo @@ -1,44 +1,68 @@ -use array::SpanTrait; -use array::ArrayTrait; -use core::traits::Into; - -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::tests::helpers::tensor::i32::i32_tensor_1x3_neg_helper; -use orion::tests::helpers::tensor::i32::i32_tensor_2x2_neg_helper; -use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_neg_helper; - - -#[test] -#[available_gas(2000000000000000000)] -fn tensor_abs() { - // ===== 1D ===== // - - let tensor = i32_tensor_1x3_neg_helper(); - let result = tensor.abs(); - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[1]).into() == 1, 'result[1] = 1'); - assert((*result.data[2]).into() == 2, 'result[2] = 2'); - - // ===== 2D ===== // - - let tensor = i32_tensor_2x2_neg_helper(); - let result = tensor.abs(); - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[1]).into() == 1, 'result[1] = 1'); - assert((*result.data[2]).into() == 2, 'result[2] = 2'); - assert((*result.data[3]).into() == 3, 'result[3] = 3'); - - // ===== 3D ===== // - - let tensor = i32_tensor_2x2x2_neg_helper(); - let result = tensor.abs(); - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[1]).into() == 1, 'result[1] = 1'); - assert((*result.data[2]).into() == 2, 'result[2] = 2'); - assert((*result.data[3]).into() == 3, 'result[3] = 3'); - assert((*result.data[4]).into() == 4, 'result[4] = 4'); - assert((*result.data[5]).into() == 5, 'result[5] = 5'); - assert((*result.data[6]).into() == 6, 'result[6] = 6'); - assert((*result.data[7]).into() == 7, 'result[7] = 7'); +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_neg_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_abs() { + let tensor = i32_tensor_1x3_neg_helper(); + let result = tensor.abs(); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_neg_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_abs() { + let tensor = i32_tensor_2x2_neg_helper(); + let result = tensor.abs(); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_neg_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_abs() { + let tensor = i32_tensor_2x2x2_neg_helper(); + let result = tensor.abs(); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 5, 'result[5] = 5'); + assert((*result.data[6]).into() == 6, 'result[6] = 6'); + assert((*result.data[7]).into() == 7, 'result[7] = 7'); + } } diff --git a/src/tests/operators/math/abs/abs_u32_test.cairo b/src/tests/operators/math/abs/abs_u32_test.cairo index 9968c1f82..0a15b1c6e 100644 --- a/src/tests/operators/math/abs/abs_u32_test.cairo +++ b/src/tests/operators/math/abs/abs_u32_test.cairo @@ -8,43 +8,65 @@ use orion::tests::helpers::tensor::u32::{ // ===== 1D ===== // -#[test] -#[available_gas(20000000)] -fn tensor_abs_1D() { - let tensor = u32_tensor_1x3_helper(); - let result = tensor.abs(); - assert(*result.data[0] == 0, 'result[0] = 0'); - assert(*result.data[1] == 1, 'result[1] = 1'); - assert(*result.data[2] == 2, 'result[2] = 2'); +#[cfg(test)] +mod tensor_1D { + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + + + #[test] + #[available_gas(20000000)] + fn tensor_abs() { + let tensor = u32_tensor_1x3_helper(); + let result = tensor.abs(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + } } // ===== 2D ===== // -#[test] -#[available_gas(20000000)] -fn tensor_abs_2D() { - let tensor = u32_tensor_2x2_helper(); - let result = tensor.abs(); - assert(*result.data[0] == 0, 'result[0] = 0'); - assert(*result.data[1] == 1, 'result[1] = 1'); - assert(*result.data[2] == 2, 'result[2] = 2'); - assert(*result.data[3] == 3, 'result[3] = 3'); +#[cfg(test)] +mod tensor_2D { + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_abs() { + let tensor = u32_tensor_2x2_helper(); + let result = tensor.abs(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + assert(*result.data[3] == 3, 'result[3] = 3'); + } } // ===== 3D ===== // -#[test] -#[available_gas(20000000)] -fn tensor_abs_3D() { - let tensor = u32_tensor_2x2x2_helper(); - let result = tensor.abs(); - assert(*result.data[0] == 0, 'result[0] = 0'); - assert(*result.data[1] == 1, 'result[1] = 1'); - assert(*result.data[2] == 2, 'result[2] = 2'); - assert(*result.data[3] == 3, 'result[3] = 3'); - assert(*result.data[4] == 4, 'result[4] = 4'); - assert(*result.data[5] == 5, 'result[5] = 5'); - assert(*result.data[6] == 6, 'result[6] = 6'); - assert(*result.data[7] == 7, 'result[7] = 7'); +#[cfg(test)] +mod tensor_3D { + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_abs() { + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.abs(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + assert(*result.data[3] == 3, 'result[3] = 3'); + assert(*result.data[4] == 4, 'result[4] = 4'); + assert(*result.data[5] == 5, 'result[5] = 5'); + assert(*result.data[6] == 6, 'result[6] = 6'); + assert(*result.data[7] == 7, 'result[7] = 7'); + } } diff --git a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo index 6cdd4fc9c..2def81007 100644 --- a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo +++ b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo @@ -1,90 +1,113 @@ -use array::SpanTrait; -use array::ArrayTrait; -use option::OptionTrait; -use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; - // ===== 1D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_ceil_1D() { - let mut sizes = ArrayTrait::new(); - sizes.append(4); - let mut arr = ArrayTrait::::new(); - arr.append(FixedTrait::new(0, false)); - arr.append(FixedTrait::new(234, false)); // 0.00357627868 - arr.append(FixedTrait::new(786431, false)); // 11.9999947548 - arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; - let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(2000000)] + fn tensor_ceil() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(234, false)); // 0.00357627868 + arr.append(FixedTrait::new(786431, false)); // 11.9999947548 + arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); - let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + } } + // ===== 2D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_ceil_2D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - let mut arr = ArrayTrait::::new(); - arr.append(FixedTrait::new(0, false)); - arr.append(FixedTrait::new(234, false)); // 0.00357627868 - arr.append(FixedTrait::new(786431, false)); // 11.9999947548 - arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; - let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(2000000)] + fn tensor_ceil() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(234, false)); // 0.00357627868 + arr.append(FixedTrait::new(786431, false)); // 11.9999947548 + arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); - let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + } } // ===== 3D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_ceil_3D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; - let mut arr = ArrayTrait::::new(); - arr.append(FixedTrait::new(0, false)); - arr.append(FixedTrait::new(234, false)); // 0.00357627868 - arr.append(FixedTrait::new(786431, false)); // 11.9999947548 - arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 - arr.append(FixedTrait::new(32768, false)); // 0.5 - arr.append(FixedTrait::new(32768, true)); // - 0.5 - arr.append(FixedTrait::new(98304, false)); // 1.5 - arr.append(FixedTrait::new(98304, true)); // - 1.5 - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; - let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); + #[test] + #[available_gas(2000000)] + fn tensor_ceil() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); - let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); - assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); - assert(*result.data.at(7) == FixedTrait::new_unscaled(1, true), 'result[7] = -1'); - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); -} + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(234, false)); // 0.00357627868 + arr.append(FixedTrait::new(786431, false)); // 11.9999947548 + arr.append(FixedTrait::new(786431, true)); // - 11.9999947548 + arr.append(FixedTrait::new(32768, false)); // 0.5 + arr.append(FixedTrait::new(32768, true)); // - 0.5 + arr.append(FixedTrait::new(98304, false)); // 1.5 + arr.append(FixedTrait::new(98304, true)); // - 1.5 + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); + assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); + assert(*result.data.at(7) == FixedTrait::new_unscaled(1, true), 'result[7] = -1'); + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + } +} diff --git a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo index 71c623c16..935bd0702 100644 --- a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo +++ b/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo @@ -1,90 +1,113 @@ -use array::SpanTrait; -use array::ArrayTrait; -use option::OptionTrait; -use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; - // ===== 1D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_ceil_1D() { - let mut sizes = ArrayTrait::new(); - sizes.append(4); - let mut arr = ArrayTrait::::new(); - arr.append(FixedTrait::new(0, false)); - arr.append(FixedTrait::new(30000, false)); // 0.00357627868 - arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 - arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(2000000)] + fn tensor_cei() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(30000, false)); // 0.00357627868 + arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 + arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); - let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + } } // ===== 2D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_ceil_2D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - let mut arr = ArrayTrait::::new(); - arr.append(FixedTrait::new(0, false)); - arr.append(FixedTrait::new(30000, false)); // 0.00357627868 - arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 - arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(2000000)] + fn tensor_cei() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(30000, false)); // 0.00357627868 + arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 + arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); - let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + } } // ===== 3D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_ceil_3D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + + #[test] + #[available_gas(2000000)] + fn tensor_cei() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); - let mut arr = ArrayTrait::::new(); - arr.append(FixedTrait::new(0, false)); - arr.append(FixedTrait::new(30000, false)); // 0.00357627868 - arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 - arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 - arr.append(FixedTrait::new(4194304, false)); // 0.5 - arr.append(FixedTrait::new(4194304, true)); // - 0.5 - arr.append(FixedTrait::new(12582912, false)); // 1.5 - arr.append(FixedTrait::new(12582912, true)); // - 1.5 + let mut arr = ArrayTrait::::new(); + arr.append(FixedTrait::new(0, false)); + arr.append(FixedTrait::new(30000, false)); // 0.00357627868 + arr.append(FixedTrait::new(100663252, false)); // 11.9999947548 + arr.append(FixedTrait::new(100663252, true)); // - 11.9999947548 + arr.append(FixedTrait::new(4194304, false)); // 0.5 + arr.append(FixedTrait::new(4194304, true)); // - 0.5 + arr.append(FixedTrait::new(12582912, false)); // 1.5 + arr.append(FixedTrait::new(12582912, true)); // - 1.5 - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); - let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); - assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); - assert(*result.data.at(7) == FixedTrait::new_unscaled(1, true), 'result[7] = -1'); - assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + let result = tensor.ceil(); + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); + assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); + assert(*result.data.at(7) == FixedTrait::new_unscaled(1, true), 'result[7] = -1'); + assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); + } } diff --git a/src/tests/operators/math/ceil/ceil_i32_test.cairo b/src/tests/operators/math/ceil/ceil_i32_test.cairo index a22a93b63..62663720e 100644 --- a/src/tests/operators/math/ceil/ceil_i32_test.cairo +++ b/src/tests/operators/math/ceil/ceil_i32_test.cairo @@ -1,43 +1,77 @@ -use array::SpanTrait; -use array::ArrayTrait; -use core::traits::Into; - -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; -use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; -use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; - -#[test] -#[available_gas(2000000000000000000)] -fn tensor_ceil() { - // ===== 1D ===== // - - let tensor = i32_tensor_1x3_helper(); - let result = tensor.ceil(); - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[1]).into() == 1, 'result[1] = 1'); - assert((*result.data[2]).into() == 2, 'result[2] = 2'); - - // ===== 2D ===== // - - let tensor = i32_tensor_2x2_helper(); - let result = tensor.ceil(); - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[1]).into() == 1, 'result[1] = 1'); - assert((*result.data[2]).into() == 2, 'result[2] = 2'); - assert((*result.data[3]).into() == 3, 'result[3] = 3'); - - // ===== 3D ===== // - - let tensor = i32_tensor_2x2x2_helper(); - let result = tensor.ceil(); - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[1]).into() == 1, 'result[1] = 1'); - assert((*result.data[2]).into() == 2, 'result[2] = 2'); - assert((*result.data[3]).into() == 3, 'result[3] = 3'); - assert((*result.data[4]).into() == 4, 'result[4] = 4'); - assert((*result.data[5]).into() == 5, 'result[5] = 5'); - assert((*result.data[6]).into() == 6, 'result[6] = 6'); - assert((*result.data[7]).into() == 7, 'result[7] = 7'); +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::ArrayTrait; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_ceil() { + let tensor = i32_tensor_1x3_helper(); + let result = tensor.ceil(); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + } +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::ArrayTrait; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_ceil() { + let tensor = i32_tensor_2x2_helper(); + let result = tensor.ceil(); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + } +} + + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::ArrayTrait; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + + + #[test] + #[available_gas(20000000)] + fn tensor_ceil() { + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.ceil(); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 5, 'result[5] = 5'); + assert((*result.data[6]).into() == 6, 'result[6] = 6'); + assert((*result.data[7]).into() == 7, 'result[7] = 7'); + } } diff --git a/src/tests/operators/math/ceil/ceil_u32_test.cairo b/src/tests/operators/math/ceil/ceil_u32_test.cairo index 34ed349f5..ae9586d7b 100644 --- a/src/tests/operators/math/ceil/ceil_u32_test.cairo +++ b/src/tests/operators/math/ceil/ceil_u32_test.cairo @@ -1,49 +1,74 @@ -use array::SpanTrait; -use array::ArrayTrait; -use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::tests::helpers::tensor::u32::{ - u32_tensor_1x3_helper, u32_tensor_2x2_helper, u32_tensor_2x2x2_helper -}; - // ===== 1D ===== // -#[test] -#[available_gas(20000000)] -fn tensor_ceil_1D() { - let tensor = u32_tensor_1x3_helper(); - let result = tensor.ceil(); - assert(*result.data[0] == 0, 'result[0] = 0'); - assert(*result.data[1] == 1, 'result[1] = 1'); - assert(*result.data[2] == 2, 'result[2] = 2'); +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_ceil() { + let tensor = u32_tensor_1x3_helper(); + let result = tensor.ceil(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + } } + // ===== 2D ===== // -#[test] -#[available_gas(20000000)] -fn tensor_ceil_2D() { - let tensor = u32_tensor_2x2_helper(); - let result = tensor.ceil(); - assert(*result.data[0] == 0, 'result[0] = 0'); - assert(*result.data[1] == 1, 'result[1] = 1'); - assert(*result.data[2] == 2, 'result[2] = 2'); - assert(*result.data[3] == 3, 'result[3] = 3'); +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_ceil() { + let tensor = u32_tensor_2x2_helper(); + let result = tensor.ceil(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + assert(*result.data[3] == 3, 'result[3] = 3'); + } } + // ===== 3D ===== // -#[test] -#[available_gas(20000000)] -fn tensor_ceil_3D() { - let tensor = u32_tensor_2x2x2_helper(); - let result = tensor.ceil(); - assert(*result.data[0] == 0, 'result[0] = 0'); - assert(*result.data[1] == 1, 'result[1] = 1'); - assert(*result.data[2] == 2, 'result[2] = 2'); - assert(*result.data[3] == 3, 'result[3] = 3'); - assert(*result.data[4] == 4, 'result[4] = 4'); - assert(*result.data[5] == 5, 'result[5] = 5'); - assert(*result.data[6] == 6, 'result[6] = 6'); - assert(*result.data[7] == 7, 'result[7] = 7'); +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_ceil() { + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.ceil(); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 2, 'result[2] = 2'); + assert(*result.data[3] == 3, 'result[3] = 3'); + assert(*result.data[4] == 4, 'result[4] = 4'); + assert(*result.data[5] == 5, 'result[5] = 5'); + assert(*result.data[6] == 6, 'result[6] = 6'); + assert(*result.data[7] == 7, 'result[7] = 7'); + } } + diff --git a/src/tests/operators/math/equal/equal_fp_test/equal_fp16x16_test.cairo b/src/tests/operators/math/equal/equal_fp_test/equal_fp16x16_test.cairo index 6b8144d49..f5de9ca26 100644 --- a/src/tests/operators/math/equal/equal_fp_test/equal_fp16x16_test.cairo +++ b/src/tests/operators/math/equal/equal_fp_test/equal_fp16x16_test.cairo @@ -1,258 +1,284 @@ -use array::SpanTrait; -use array::{ArrayTrait}; +// ===== 1D ===== // -use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; -// ===== 1D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_eq_1D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); + #[test] + #[available_gas(2000000)] + fn tensor_eq() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, true)); - arr_1.append(FixedTrait::new_unscaled(2, false)); + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, true)); + arr_1.append(FixedTrait::new_unscaled(2, false)); - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(10, false)); - arr_2.append(FixedTrait::new_unscaled(11, false)); - arr_2.append(FixedTrait::new_unscaled(2, false)); + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); - let extra = Option::::None(()); + let extra = Option::::None(()); - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } // ===== 2D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_eq_2D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - arr_1.append(FixedTrait::new_unscaled(8, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(10, false)); - arr_2.append(FixedTrait::new_unscaled(11, false)); - arr_2.append(FixedTrait::new_unscaled(12, false)); - arr_2.append(FixedTrait::new_unscaled(3, true)); - arr_2.append(FixedTrait::new_unscaled(4, false)); - arr_2.append(FixedTrait::new_unscaled(5, false)); - arr_2.append(FixedTrait::new_unscaled(16, false)); - arr_2.append(FixedTrait::new_unscaled(17, false)); - arr_2.append(FixedTrait::new_unscaled(18, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); - assert(*result.data.at(8) == 0, 'result[8] = 0'); - - assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} - -#[test] -#[available_gas(2000000)] -fn tensor_eq_broadcast_2D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - arr_1.append(FixedTrait::new_unscaled(8, false)); - arr_1.append(FixedTrait::new_unscaled(9, false)); - arr_1.append(FixedTrait::new_unscaled(10, false)); - arr_1.append(FixedTrait::new_unscaled(11, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(0, false)); - arr_2.append(FixedTrait::new_unscaled(1, false)); - arr_2.append(FixedTrait::new_unscaled(2, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(2000000)] + fn tensor_eq_2D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(12, false)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + arr_2.append(FixedTrait::new_unscaled(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 0, 'result[2] = 0'); + assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data.at(4) == 1, 'result[4] = 1'); + assert(*result.data.at(5) == 1, 'result[5] = 1'); + assert(*result.data.at(6) == 0, 'result[6] = 0'); + assert(*result.data.at(7) == 0, 'result[7] = 0'); + assert(*result.data.at(8) == 0, 'result[8] = 0'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_eq_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + arr_1.append(FixedTrait::new_unscaled(9, false)); + arr_1.append(FixedTrait::new_unscaled(10, false)); + arr_1.append(FixedTrait::new_unscaled(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.eq(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.eq(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data.at(8) == 0, 'result[8] = 0'); + assert(*result_b.data.at(9) == 0, 'result[9] = 0'); + assert(*result_b.data.at(10) == 0, 'result[10] = 0'); + assert(*result_b.data.at(11) == 0, 'result[11] = 0'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } // ===== 3D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_eq_3D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(10, false)); - arr_2.append(FixedTrait::new_unscaled(11, false)); - arr_2.append(FixedTrait::new_unscaled(12, false)); - arr_2.append(FixedTrait::new_unscaled(3, true)); - arr_2.append(FixedTrait::new_unscaled(4, false)); - arr_2.append(FixedTrait::new_unscaled(5, false)); - arr_2.append(FixedTrait::new_unscaled(16, false)); - arr_2.append(FixedTrait::new_unscaled(17, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); - - assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(2000000)] + fn tensor_eq() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(12, false)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 0, 'result[2] = 0'); + assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data.at(4) == 1, 'result[4] = 1'); + assert(*result.data.at(5) == 1, 'result[5] = 1'); + assert(*result.data.at(6) == 0, 'result[6] = 0'); + assert(*result.data.at(7) == 0, 'result[7] = 0'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_eq_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.eq(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.eq(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -#[test] -#[available_gas(2000000)] -fn tensor_eq_broadcast_3D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(2); - sizes_1.append(2); - sizes_1.append(2); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(2); - sizes_2.append(1); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(0, false)); - arr_2.append(FixedTrait::new_unscaled(1, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} diff --git a/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo b/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo index 95b4a3aa8..79ea79852 100644 --- a/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo +++ b/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo @@ -1,258 +1,284 @@ -use array::SpanTrait; -use array::{ArrayTrait}; - -use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +// ===== 1D ===== // +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; -// ===== 1D ===== // + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; -#[test] -#[available_gas(2000000)] -fn tensor_eq_1D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); + #[test] + #[available_gas(2000000)] + fn tensor_eq_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, true)); - arr_1.append(FixedTrait::new_unscaled(2, false)); + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, true)); + arr_1.append(FixedTrait::new_unscaled(2, false)); - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(10, false)); - arr_2.append(FixedTrait::new_unscaled(11, false)); - arr_2.append(FixedTrait::new_unscaled(2, false)); + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); - let extra = Option::::None(()); + let extra = Option::::None(()); - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -// ===== 2D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_eq_2D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - arr_1.append(FixedTrait::new_unscaled(8, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(10, false)); - arr_2.append(FixedTrait::new_unscaled(11, false)); - arr_2.append(FixedTrait::new_unscaled(12, false)); - arr_2.append(FixedTrait::new_unscaled(3, true)); - arr_2.append(FixedTrait::new_unscaled(4, false)); - arr_2.append(FixedTrait::new_unscaled(5, false)); - arr_2.append(FixedTrait::new_unscaled(16, false)); - arr_2.append(FixedTrait::new_unscaled(17, false)); - arr_2.append(FixedTrait::new_unscaled(18, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); - assert(*result.data.at(8) == 0, 'result[8] = 0'); - - assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} +// ===== 2D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_eq_broadcast_2D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - arr_1.append(FixedTrait::new_unscaled(8, false)); - arr_1.append(FixedTrait::new_unscaled(9, false)); - arr_1.append(FixedTrait::new_unscaled(10, false)); - arr_1.append(FixedTrait::new_unscaled(11, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(0, false)); - arr_2.append(FixedTrait::new_unscaled(1, false)); - arr_2.append(FixedTrait::new_unscaled(2, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + + #[test] + #[available_gas(2000000)] + fn tensor_eq_2D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(12, false)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + arr_2.append(FixedTrait::new_unscaled(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 0, 'result[2] = 0'); + assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data.at(4) == 1, 'result[4] = 1'); + assert(*result.data.at(5) == 1, 'result[5] = 1'); + assert(*result.data.at(6) == 0, 'result[6] = 0'); + assert(*result.data.at(7) == 0, 'result[7] = 0'); + assert(*result.data.at(8) == 0, 'result[8] = 0'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_eq_broadcast_2D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + arr_1.append(FixedTrait::new_unscaled(9, false)); + arr_1.append(FixedTrait::new_unscaled(10, false)); + arr_1.append(FixedTrait::new_unscaled(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.eq(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.eq(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data.at(8) == 0, 'result[8] = 0'); + assert(*result_b.data.at(9) == 0, 'result[9] = 0'); + assert(*result_b.data.at(10) == 0, 'result[10] = 0'); + assert(*result_b.data.at(11) == 0, 'result[11] = 0'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } // ===== 3D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_eq_3D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(10, false)); - arr_2.append(FixedTrait::new_unscaled(11, false)); - arr_2.append(FixedTrait::new_unscaled(12, false)); - arr_2.append(FixedTrait::new_unscaled(3, true)); - arr_2.append(FixedTrait::new_unscaled(4, false)); - arr_2.append(FixedTrait::new_unscaled(5, false)); - arr_2.append(FixedTrait::new_unscaled(16, false)); - arr_2.append(FixedTrait::new_unscaled(17, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); - - assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} - -#[test] -#[available_gas(2000000)] -fn tensor_eq_broadcast_3D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(2); - sizes_1.append(2); - sizes_1.append(2); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(2); - sizes_2.append(1); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(0, false)); - arr_2.append(FixedTrait::new_unscaled(1, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(2000000)] + fn tensor_eq_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(12, false)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 0, 'result[2] = 0'); + assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data.at(4) == 1, 'result[4] = 1'); + assert(*result.data.at(5) == 1, 'result[5] = 1'); + assert(*result.data.at(6) == 0, 'result[6] = 0'); + assert(*result.data.at(7) == 0, 'result[7] = 0'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_eq_broadcast_3D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.eq(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.eq(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } diff --git a/src/tests/operators/math/equal/equal_i32_test.cairo b/src/tests/operators/math/equal/equal_i32_test.cairo index 671cefe56..ce62fcf89 100644 --- a/src/tests/operators/math/equal/equal_i32_test.cairo +++ b/src/tests/operators/math/equal/equal_i32_test.cairo @@ -1,256 +1,280 @@ -use array::SpanTrait; -use array::{ArrayTrait}; +// ===== 1D ===== // -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; -// ===== 1D ===== // + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -#[test] -#[available_gas(2000000)] -fn tensor_eq_1D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); + #[test] + #[available_gas(2000000)] + fn tensor_eq_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, true)); - arr_1.append(IntegerTrait::new(2, false)); + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, true)); + arr_1.append(IntegerTrait::new(2, false)); - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(10, false)); - arr_2.append(IntegerTrait::new(11, false)); - arr_2.append(IntegerTrait::new(2, false)); + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, false)); - let extra = Option::::None(()); + let extra = Option::::None(()); - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } // ===== 2D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_eq_2D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); - arr_1.append(IntegerTrait::new(3, false)); - arr_1.append(IntegerTrait::new(4, false)); - arr_1.append(IntegerTrait::new(5, false)); - arr_1.append(IntegerTrait::new(6, false)); - arr_1.append(IntegerTrait::new(7, false)); - arr_1.append(IntegerTrait::new(8, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(10, false)); - arr_2.append(IntegerTrait::new(11, false)); - arr_2.append(IntegerTrait::new(12, false)); - arr_2.append(IntegerTrait::new(3, true)); - arr_2.append(IntegerTrait::new(4, false)); - arr_2.append(IntegerTrait::new(5, false)); - arr_2.append(IntegerTrait::new(16, false)); - arr_2.append(IntegerTrait::new(17, false)); - arr_2.append(IntegerTrait::new(18, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); - assert(*result.data.at(8) == 0, 'result[8] = 0'); - - assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} - -#[test] -#[available_gas(2000000)] -fn tensor_eq_broadcast_2D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); - arr_1.append(IntegerTrait::new(3, false)); - arr_1.append(IntegerTrait::new(4, false)); - arr_1.append(IntegerTrait::new(5, false)); - arr_1.append(IntegerTrait::new(6, false)); - arr_1.append(IntegerTrait::new(7, false)); - arr_1.append(IntegerTrait::new(8, false)); - arr_1.append(IntegerTrait::new(9, false)); - arr_1.append(IntegerTrait::new(10, false)); - arr_1.append(IntegerTrait::new(11, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(0, false)); - arr_2.append(IntegerTrait::new(1, false)); - arr_2.append(IntegerTrait::new(2, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_eq_2D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + arr_1.append(IntegerTrait::new(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(12, false)); + arr_2.append(IntegerTrait::new(3, true)); + arr_2.append(IntegerTrait::new(4, false)); + arr_2.append(IntegerTrait::new(5, false)); + arr_2.append(IntegerTrait::new(16, false)); + arr_2.append(IntegerTrait::new(17, false)); + arr_2.append(IntegerTrait::new(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 0, 'result[2] = 0'); + assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data.at(4) == 1, 'result[4] = 1'); + assert(*result.data.at(5) == 1, 'result[5] = 1'); + assert(*result.data.at(6) == 0, 'result[6] = 0'); + assert(*result.data.at(7) == 0, 'result[7] = 0'); + assert(*result.data.at(8) == 0, 'result[8] = 0'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_eq_broadcast_2D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + arr_1.append(IntegerTrait::new(8, false)); + arr_1.append(IntegerTrait::new(9, false)); + arr_1.append(IntegerTrait::new(10, false)); + arr_1.append(IntegerTrait::new(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(0, false)); + arr_2.append(IntegerTrait::new(1, false)); + arr_2.append(IntegerTrait::new(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.eq(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.eq(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data.at(8) == 0, 'result[8] = 0'); + assert(*result_b.data.at(9) == 0, 'result[9] = 0'); + assert(*result_b.data.at(10) == 0, 'result[10] = 0'); + assert(*result_b.data.at(11) == 0, 'result[11] = 0'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } // ===== 3D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_eq_3D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); - arr_1.append(IntegerTrait::new(3, false)); - arr_1.append(IntegerTrait::new(4, false)); - arr_1.append(IntegerTrait::new(5, false)); - arr_1.append(IntegerTrait::new(6, false)); - arr_1.append(IntegerTrait::new(7, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(10, false)); - arr_2.append(IntegerTrait::new(11, false)); - arr_2.append(IntegerTrait::new(12, false)); - arr_2.append(IntegerTrait::new(3, true)); - arr_2.append(IntegerTrait::new(4, false)); - arr_2.append(IntegerTrait::new(5, false)); - arr_2.append(IntegerTrait::new(16, false)); - arr_2.append(IntegerTrait::new(17, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); - - assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_eq_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(12, false)); + arr_2.append(IntegerTrait::new(3, true)); + arr_2.append(IntegerTrait::new(4, false)); + arr_2.append(IntegerTrait::new(5, false)); + arr_2.append(IntegerTrait::new(16, false)); + arr_2.append(IntegerTrait::new(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 0, 'result[2] = 0'); + assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data.at(4) == 1, 'result[4] = 1'); + assert(*result.data.at(5) == 1, 'result[5] = 1'); + assert(*result.data.at(6) == 0, 'result[6] = 0'); + assert(*result.data.at(7) == 0, 'result[7] = 0'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_eq_broadcast_3D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(0, false)); + arr_2.append(IntegerTrait::new(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.eq(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.eq(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -#[test] -#[available_gas(2000000)] -fn tensor_eq_broadcast_3D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(2); - sizes_1.append(2); - sizes_1.append(2); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(2); - sizes_2.append(1); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); - arr_1.append(IntegerTrait::new(3, false)); - arr_1.append(IntegerTrait::new(4, false)); - arr_1.append(IntegerTrait::new(5, false)); - arr_1.append(IntegerTrait::new(6, false)); - arr_1.append(IntegerTrait::new(7, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(0, false)); - arr_2.append(IntegerTrait::new(1, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} diff --git a/src/tests/operators/math/equal/equal_u32_test.cairo b/src/tests/operators/math/equal/equal_u32_test.cairo index 89abce7fb..88afbd0a5 100644 --- a/src/tests/operators/math/equal/equal_u32_test.cairo +++ b/src/tests/operators/math/equal/equal_u32_test.cairo @@ -1,255 +1,276 @@ -use array::SpanTrait; -use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - // ===== 1D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_eq_1D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10); - arr_2.append(11); - arr_2.append(2); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result = tensor_a.eq(@tensor_b); - assert(*result.data[0] == 0, 'result[0] = 0'); - assert(*result.data[1] == 0, 'result[1] = 0'); - assert(*result.data[2] == 1, 'result[2] = 1'); - - assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_eq() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(2); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 1, 'result[2] = 1'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } + // ===== 2D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_eq_2D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); - arr_1.append(3); - arr_1.append(4); - arr_1.append(5); - arr_1.append(6); - arr_1.append(7); - arr_1.append(8); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10); - arr_2.append(11); - arr_2.append(12); - arr_2.append(13); - arr_2.append(4); - arr_2.append(5); - arr_2.append(16); - arr_2.append(17); - arr_2.append(18); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); - assert(*result.data.at(8) == 0, 'result[8] = 0'); - - assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_eq() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(12); + arr_2.append(13); + arr_2.append(4); + arr_2.append(5); + arr_2.append(16); + arr_2.append(17); + arr_2.append(18); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 0, 'result[2] = 0'); + assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data.at(4) == 1, 'result[4] = 1'); + assert(*result.data.at(5) == 1, 'result[5] = 1'); + assert(*result.data.at(6) == 0, 'result[6] = 0'); + assert(*result.data.at(7) == 0, 'result[7] = 0'); + assert(*result.data.at(8) == 0, 'result[8] = 0'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_eq_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + arr_1.append(9); + arr_1.append(10); + arr_1.append(11); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(0); + arr_2.append(1); + arr_2.append(2); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.eq(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.eq(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data.at(8) == 0, 'result[8] = 0'); + assert(*result_b.data.at(9) == 0, 'result[9] = 0'); + assert(*result_b.data.at(10) == 0, 'result[10] = 0'); + assert(*result_b.data.at(11) == 0, 'result[11] = 0'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -#[test] -#[available_gas(2000000)] -fn tensor_eq_broadcast_2D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); - arr_1.append(3); - arr_1.append(4); - arr_1.append(5); - arr_1.append(6); - arr_1.append(7); - arr_1.append(8); - arr_1.append(9); - arr_1.append(10); - arr_1.append(11); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0); - arr_2.append(1); - arr_2.append(2); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} // ===== 3D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_eq_3D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(5_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10_u32); - arr_2.append(11_u32); - arr_2.append(12_u32); - arr_2.append(13_u32); - arr_2.append(4_u32); - arr_2.append(5_u32); - arr_2.append(16_u32); - arr_2.append(17_u32); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); - - assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} - -#[test] -#[available_gas(2000000)] -fn tensor_eq_broadcast_3D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(2); - sizes_1.append(2); - sizes_1.append(2); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(2); - sizes_2.append(1); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(5_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0_u32); - arr_2.append(1_u32); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_eq() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0_u32); + arr_1.append(1_u32); + arr_1.append(2_u32); + arr_1.append(3_u32); + arr_1.append(4_u32); + arr_1.append(5_u32); + arr_1.append(6_u32); + arr_1.append(7_u32); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10_u32); + arr_2.append(11_u32); + arr_2.append(12_u32); + arr_2.append(13_u32); + arr_2.append(4_u32); + arr_2.append(5_u32); + arr_2.append(16_u32); + arr_2.append(17_u32); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result = tensor_a.eq(@tensor_b); + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data.at(2) == 0, 'result[2] = 0'); + assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data.at(4) == 1, 'result[4] = 1'); + assert(*result.data.at(5) == 1, 'result[5] = 1'); + assert(*result.data.at(6) == 0, 'result[6] = 0'); + assert(*result.data.at(7) == 0, 'result[7] = 0'); + + assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_eq_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0_u32); + arr_1.append(1_u32); + arr_1.append(2_u32); + arr_1.append(3_u32); + arr_1.append(4_u32); + arr_1.append(5_u32); + arr_1.append(6_u32); + arr_1.append(7_u32); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(0_u32); + arr_2.append(1_u32); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.eq(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.eq(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } diff --git a/src/tests/operators/math/greater/greater_fp_test/greater_fp16x16_test.cairo b/src/tests/operators/math/greater/greater_fp_test/greater_fp16x16_test.cairo index ad69703de..8556ec9e7 100644 --- a/src/tests/operators/math/greater/greater_fp_test/greater_fp16x16_test.cairo +++ b/src/tests/operators/math/greater/greater_fp_test/greater_fp16x16_test.cairo @@ -1,286 +1,313 @@ -use array::SpanTrait; -use array::{ArrayTrait}; +// ===== 1D ===== // -use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; -// ===== 1D ===== // + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; -#[test] -#[available_gas(2000000000000)] -fn tensor_greater_1D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(10, false)); - arr_2.append(FixedTrait::new_unscaled(11, false)); - arr_2.append(FixedTrait::new_unscaled(2, true)); + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); - let extra = Option::::None(()); + let extra = Option::::None(()); - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } // ===== 2D ===== // -#[test] -#[available_gas(200000000000)] -fn tensor_greater_2D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - arr_1.append(FixedTrait::new_unscaled(8, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(10, false)); - arr_2.append(FixedTrait::new_unscaled(11, false)); - arr_2.append(FixedTrait::new_unscaled(2, true)); - arr_2.append(FixedTrait::new_unscaled(3, true)); - arr_2.append(FixedTrait::new_unscaled(4, false)); - arr_2.append(FixedTrait::new_unscaled(5, false)); - arr_2.append(FixedTrait::new_unscaled(16, false)); - arr_2.append(FixedTrait::new_unscaled(17, false)); - arr_2.append(FixedTrait::new_unscaled(18, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(200000000000)] + fn tensor_greater() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + arr_2.append(FixedTrait::new_unscaled(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(200000000000)] + fn tensor_greater_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + arr_1.append(FixedTrait::new_unscaled(9, false)); + arr_1.append(FixedTrait::new_unscaled(10, false)); + arr_1.append(FixedTrait::new_unscaled(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data.at(9) == 1, 'result[9] = 1'); + assert(*result_b.data.at(10) == 1, 'result[10] = 1'); + assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -#[test] -#[available_gas(200000000000)] -fn tensor_greater_broadcast_2D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - arr_1.append(FixedTrait::new_unscaled(8, false)); - arr_1.append(FixedTrait::new_unscaled(9, false)); - arr_1.append(FixedTrait::new_unscaled(10, false)); - arr_1.append(FixedTrait::new_unscaled(11, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(0, false)); - arr_2.append(FixedTrait::new_unscaled(1, false)); - arr_2.append(FixedTrait::new_unscaled(2, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} // ===== 3D ===== // -#[test] -#[available_gas(2000000000000)] -fn tensor_greater_3D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(10, false)); - arr_2.append(FixedTrait::new_unscaled(11, false)); - arr_2.append(FixedTrait::new_unscaled(2, true)); - arr_2.append(FixedTrait::new_unscaled(3, true)); - arr_2.append(FixedTrait::new_unscaled(4, false)); - arr_2.append(FixedTrait::new_unscaled(5, false)); - arr_2.append(FixedTrait::new_unscaled(16, false)); - arr_2.append(FixedTrait::new_unscaled(17, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 1, 'result[2] = 0'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -#[test] -#[available_gas(2000000000000)] -fn tensor_greater_broadcast_3D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(2); - sizes_1.append(2); - sizes_1.append(2); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(2); - sizes_2.append(1); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(0, false)); - arr_2.append(FixedTrait::new_unscaled(1, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 0'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} diff --git a/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo b/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo index ae9a42af2..413f7c24b 100644 --- a/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo +++ b/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo @@ -1,286 +1,313 @@ -use array::SpanTrait; -use array::{ArrayTrait}; +// ===== 1D ===== // -use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; -use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::ArrayTrait; -// ===== 1D ===== // + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; -#[test] -#[available_gas(2000000000000)] -fn tensor_greater_1D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); + #[test] + #[available_gas(2000000000000)] + fn tensor_greater() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(10, false)); - arr_2.append(FixedTrait::new_unscaled(11, false)); - arr_2.append(FixedTrait::new_unscaled(2, true)); + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); - let extra = Option::::None(()); + let extra = Option::::None(()); - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } + // ===== 2D ===== // -#[test] -#[available_gas(200000000000)] -fn tensor_greater_2D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - arr_1.append(FixedTrait::new_unscaled(8, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(10, false)); - arr_2.append(FixedTrait::new_unscaled(11, false)); - arr_2.append(FixedTrait::new_unscaled(2, true)); - arr_2.append(FixedTrait::new_unscaled(3, true)); - arr_2.append(FixedTrait::new_unscaled(4, false)); - arr_2.append(FixedTrait::new_unscaled(5, false)); - arr_2.append(FixedTrait::new_unscaled(16, false)); - arr_2.append(FixedTrait::new_unscaled(17, false)); - arr_2.append(FixedTrait::new_unscaled(18, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(200000000000)] + fn tensor_greater() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + arr_2.append(FixedTrait::new_unscaled(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(200000000000)] + fn tensor_greater_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + arr_1.append(FixedTrait::new_unscaled(9, false)); + arr_1.append(FixedTrait::new_unscaled(10, false)); + arr_1.append(FixedTrait::new_unscaled(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data.at(9) == 1, 'result[9] = 1'); + assert(*result_b.data.at(10) == 1, 'result[10] = 1'); + assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -#[test] -#[available_gas(200000000000)] -fn tensor_greater_broadcast_2D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - arr_1.append(FixedTrait::new_unscaled(8, false)); - arr_1.append(FixedTrait::new_unscaled(9, false)); - arr_1.append(FixedTrait::new_unscaled(10, false)); - arr_1.append(FixedTrait::new_unscaled(11, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(0, false)); - arr_2.append(FixedTrait::new_unscaled(1, false)); - arr_2.append(FixedTrait::new_unscaled(2, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} // ===== 3D ===== // -#[test] -#[available_gas(2000000000000)] -fn tensor_greater_3D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(10, false)); - arr_2.append(FixedTrait::new_unscaled(11, false)); - arr_2.append(FixedTrait::new_unscaled(2, true)); - arr_2.append(FixedTrait::new_unscaled(3, true)); - arr_2.append(FixedTrait::new_unscaled(4, false)); - arr_2.append(FixedTrait::new_unscaled(5, false)); - arr_2.append(FixedTrait::new_unscaled(16, false)); - arr_2.append(FixedTrait::new_unscaled(17, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} - -#[test] -#[available_gas(2000000000000)] -fn tensor_greater_broadcast_3D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(2); - sizes_1.append(2); - sizes_1.append(2); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(2); - sizes_2.append(1); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new_unscaled(0, false)); - arr_1.append(FixedTrait::new_unscaled(1, false)); - arr_1.append(FixedTrait::new_unscaled(2, false)); - arr_1.append(FixedTrait::new_unscaled(3, false)); - arr_1.append(FixedTrait::new_unscaled(4, false)); - arr_1.append(FixedTrait::new_unscaled(5, false)); - arr_1.append(FixedTrait::new_unscaled(6, false)); - arr_1.append(FixedTrait::new_unscaled(7, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new_unscaled(0, false)); - arr_2.append(FixedTrait::new_unscaled(1, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 0'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 1, 'result[2] = 0'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } diff --git a/src/tests/operators/math/greater/greater_i32_test.cairo b/src/tests/operators/math/greater/greater_i32_test.cairo index 6a4f904ef..6ce3a0814 100644 --- a/src/tests/operators/math/greater/greater_i32_test.cairo +++ b/src/tests/operators/math/greater/greater_i32_test.cairo @@ -1,285 +1,311 @@ -use array::SpanTrait; -use array::{ArrayTrait}; +// ===== 1D ===== // -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; -// ===== 1D ===== // + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -#[test] -#[available_gas(2000000000000)] -fn tensor_greater_1D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_1D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(10, false)); - arr_2.append(IntegerTrait::new(11, false)); - arr_2.append(IntegerTrait::new(2, true)); + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, true)); - let extra = Option::::None(()); + let extra = Option::::None(()); - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } + // ===== 2D ===== // -#[test] -#[available_gas(200000000000)] -fn tensor_greater_2D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); - arr_1.append(IntegerTrait::new(3, false)); - arr_1.append(IntegerTrait::new(4, false)); - arr_1.append(IntegerTrait::new(5, false)); - arr_1.append(IntegerTrait::new(6, false)); - arr_1.append(IntegerTrait::new(7, false)); - arr_1.append(IntegerTrait::new(8, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(10, false)); - arr_2.append(IntegerTrait::new(11, false)); - arr_2.append(IntegerTrait::new(2, true)); - arr_2.append(IntegerTrait::new(3, true)); - arr_2.append(IntegerTrait::new(4, false)); - arr_2.append(IntegerTrait::new(5, false)); - arr_2.append(IntegerTrait::new(16, false)); - arr_2.append(IntegerTrait::new(17, false)); - arr_2.append(IntegerTrait::new(18, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + + #[test] + #[available_gas(200000000000)] + fn tensor_greater_2D() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + arr_1.append(IntegerTrait::new(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, true)); + arr_2.append(IntegerTrait::new(3, true)); + arr_2.append(IntegerTrait::new(4, false)); + arr_2.append(IntegerTrait::new(5, false)); + arr_2.append(IntegerTrait::new(16, false)); + arr_2.append(IntegerTrait::new(17, false)); + arr_2.append(IntegerTrait::new(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(200000000000)] + fn tensor_greater_broadcast_2D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + arr_1.append(IntegerTrait::new(8, false)); + arr_1.append(IntegerTrait::new(9, false)); + arr_1.append(IntegerTrait::new(10, false)); + arr_1.append(IntegerTrait::new(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(0, false)); + arr_2.append(IntegerTrait::new(1, false)); + arr_2.append(IntegerTrait::new(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data.at(9) == 1, 'result[9] = 1'); + assert(*result_b.data.at(10) == 1, 'result[10] = 1'); + assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -#[test] -#[available_gas(200000000000)] -fn tensor_greater_broadcast_2D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); - arr_1.append(IntegerTrait::new(3, false)); - arr_1.append(IntegerTrait::new(4, false)); - arr_1.append(IntegerTrait::new(5, false)); - arr_1.append(IntegerTrait::new(6, false)); - arr_1.append(IntegerTrait::new(7, false)); - arr_1.append(IntegerTrait::new(8, false)); - arr_1.append(IntegerTrait::new(9, false)); - arr_1.append(IntegerTrait::new(10, false)); - arr_1.append(IntegerTrait::new(11, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(0, false)); - arr_2.append(IntegerTrait::new(1, false)); - arr_2.append(IntegerTrait::new(2, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} // ===== 3D ===== // -#[test] -#[available_gas(2000000000000)] -fn tensor_greater_3D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); - arr_1.append(IntegerTrait::new(3, false)); - arr_1.append(IntegerTrait::new(4, false)); - arr_1.append(IntegerTrait::new(5, false)); - arr_1.append(IntegerTrait::new(6, false)); - arr_1.append(IntegerTrait::new(7, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(10, false)); - arr_2.append(IntegerTrait::new(11, false)); - arr_2.append(IntegerTrait::new(2, true)); - arr_2.append(IntegerTrait::new(3, true)); - arr_2.append(IntegerTrait::new(4, false)); - arr_2.append(IntegerTrait::new(5, false)); - arr_2.append(IntegerTrait::new(16, false)); - arr_2.append(IntegerTrait::new(17, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} - -#[test] -#[available_gas(2000000000000)] -fn tensor_greater_broadcast_3D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(2); - sizes_1.append(2); - sizes_1.append(2); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(2); - sizes_2.append(1); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); - arr_1.append(IntegerTrait::new(3, false)); - arr_1.append(IntegerTrait::new(4, false)); - arr_1.append(IntegerTrait::new(5, false)); - arr_1.append(IntegerTrait::new(6, false)); - arr_1.append(IntegerTrait::new(7, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(0, false)); - arr_2.append(IntegerTrait::new(1, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 0'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_3D() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, true)); + arr_2.append(IntegerTrait::new(3, true)); + arr_2.append(IntegerTrait::new(4, false)); + arr_2.append(IntegerTrait::new(5, false)); + arr_2.append(IntegerTrait::new(16, false)); + arr_2.append(IntegerTrait::new(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_broadcast_3D() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(0, false)); + arr_2.append(IntegerTrait::new(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 1, 'result[2] = 0'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } diff --git a/src/tests/operators/math/greater/greater_u32_test.cairo b/src/tests/operators/math/greater/greater_u32_test.cairo index 4456fcebf..add8a5bf4 100644 --- a/src/tests/operators/math/greater/greater_u32_test.cairo +++ b/src/tests/operators/math/greater/greater_u32_test.cairo @@ -1,289 +1,310 @@ -use array::SpanTrait; -use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - // ===== 1D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_greater_1D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_greater() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10); - arr_2.append(11); - arr_2.append(1); + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(1); - let extra = Option::::None(()); + let extra = Option::::None(()); - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -// ===== 2D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_greater_2D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); - arr_1.append(3); - arr_1.append(4); - arr_1.append(7); - arr_1.append(6); - arr_1.append(7); - arr_1.append(8); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10); - arr_2.append(11); - arr_2.append(12); - arr_2.append(13); - arr_2.append(4); - arr_2.append(5); - arr_2.append(16); - arr_2.append(17); - arr_2.append(18); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} +// ===== 2D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_greater_broadcast_2D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); - arr_1.append(3); - arr_1.append(4); - arr_1.append(5); - arr_1.append(6); - arr_1.append(7); - arr_1.append(8); - arr_1.append(9); - arr_1.append(10); - arr_1.append(11); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0); - arr_2.append(1); - arr_2.append(2); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_greater() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(7); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(12); + arr_2.append(13); + arr_2.append(4); + arr_2.append(5); + arr_2.append(16); + arr_2.append(17); + arr_2.append(18); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_greater_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + arr_1.append(9); + arr_1.append(10); + arr_1.append(11); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(0); + arr_2.append(1); + arr_2.append(2); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data.at(9) == 1, 'result[9] = 1'); + assert(*result_b.data.at(10) == 1, 'result[10] = 1'); + assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } // ===== 3D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_greater_3D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(7_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10_u32); - arr_2.append(11_u32); - arr_2.append(12_u32); - arr_2.append(13_u32); - arr_2.append(4_u32); - arr_2.append(5_u32); - arr_2.append(16_u32); - arr_2.append(17_u32); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_greater() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0_u32); + arr_1.append(1_u32); + arr_1.append(2_u32); + arr_1.append(3_u32); + arr_1.append(4_u32); + arr_1.append(7_u32); + arr_1.append(6_u32); + arr_1.append(7_u32); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10_u32); + arr_2.append(11_u32); + arr_2.append(12_u32); + arr_2.append(13_u32); + arr_2.append(4_u32); + arr_2.append(5_u32); + arr_2.append(16_u32); + arr_2.append(17_u32); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_greater_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(0); + arr_2.append(1); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -#[test] -#[available_gas(2000000)] -fn tensor_greater_broadcast_3D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(2); - sizes_1.append(2); - sizes_1.append(2); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(2); - sizes_2.append(1); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); - arr_1.append(3); - arr_1.append(4); - arr_1.append(5); - arr_1.append(6); - arr_1.append(7); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0); - arr_2.append(1); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} From 15a133e22394a6096dc993c0555e355d230a1ccb Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 10:23:56 +0300 Subject: [PATCH 024/126] refactor tensor greater_equal tests --- .../math/greater/greater_i32_test.cairo | 12 +- .../greater_equal/greater_equal_fp_test.cairo | 137 +---- .../greater_equal_fp16x16_test.cairo | 317 ++++++++++ .../greater_equal_fp8x23_test.cairo | 317 ++++++++++ .../greater_equal_i32_test.cairo | 439 ++++++++++---- .../greater_equal_u32_test.cairo | 559 +++++++++--------- 6 files changed, 1240 insertions(+), 541 deletions(-) create mode 100644 src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp16x16_test.cairo create mode 100644 src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo diff --git a/src/tests/operators/math/greater/greater_i32_test.cairo b/src/tests/operators/math/greater/greater_i32_test.cairo index 6ce3a0814..2dc3fd5aa 100644 --- a/src/tests/operators/math/greater/greater_i32_test.cairo +++ b/src/tests/operators/math/greater/greater_i32_test.cairo @@ -11,7 +11,7 @@ mod tensor_1D { #[test] #[available_gas(2000000000000)] - fn tensor_greater_1D() { + fn tensor_greater() { let mut sizes = ArrayTrait::new(); sizes.append(3); @@ -54,7 +54,7 @@ mod tensor_2D { #[test] #[available_gas(200000000000)] - fn tensor_greater_2D() { + fn tensor_greater() { let mut sizes = ArrayTrait::new(); sizes.append(3); sizes.append(3); @@ -115,7 +115,7 @@ mod tensor_2D { #[test] #[available_gas(200000000000)] - fn tensor_greater_broadcast_2D() { + fn tensor_greater_broadcast() { let mut sizes_1 = ArrayTrait::new(); sizes_1.append(4); sizes_1.append(3); @@ -196,7 +196,7 @@ mod tensor_3D { #[test] #[available_gas(2000000000000)] - fn tensor_greater_3D() { + fn tensor_greater() { let mut sizes = ArrayTrait::new(); sizes.append(2); sizes.append(2); @@ -254,7 +254,7 @@ mod tensor_3D { #[test] #[available_gas(2000000000000)] - fn tensor_greater_broadcast_3D() { + fn tensor_greater_broadcast() { let mut sizes_1 = ArrayTrait::new(); sizes_1.append(2); sizes_1.append(2); @@ -299,7 +299,7 @@ mod tensor_3D { let result_b = tensor_a.greater(@tensor_b); assert(*result_b.data.at(0) == 0, 'result[0] = 0'); assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 0'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); assert(*result_b.data.at(3) == 1, 'result[3] = 1'); assert(*result_b.data.at(4) == 1, 'result[4] = 1'); assert(*result_b.data.at(5) == 1, 'result[5] = 1'); diff --git a/src/tests/operators/math/greater_equal/greater_equal_fp_test.cairo b/src/tests/operators/math/greater_equal/greater_equal_fp_test.cairo index ac1784173..bb73d4adc 100644 --- a/src/tests/operators/math/greater_equal/greater_equal_fp_test.cairo +++ b/src/tests/operators/math/greater_equal/greater_equal_fp_test.cairo @@ -1,135 +1,2 @@ -use array::SpanTrait; -use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp;use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; - - -#[test] -#[available_gas(2000000)] -fn tensor_greater_equal_fp() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new(0, false)); - arr_1.append(FixedTrait::new(1, false)); - arr_1.append(FixedTrait::new(2, false)); - arr_1.append(FixedTrait::new(3, false)); - arr_1.append(FixedTrait::new(4, false)); - arr_1.append(FixedTrait::new(5, false)); - arr_1.append(FixedTrait::new(6, false)); - arr_1.append(FixedTrait::new(7, false)); - arr_1.append(FixedTrait::new(8, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new(10, false)); - arr_2.append(FixedTrait::new(11, false)); - arr_2.append(FixedTrait::new(2, true)); - arr_2.append(FixedTrait::new(3, true)); - arr_2.append(FixedTrait::new(4, false)); - arr_2.append(FixedTrait::new(5, false)); - arr_2.append(FixedTrait::new(16, false)); - arr_2.append(FixedTrait::new(17, false)); - arr_2.append(FixedTrait::new(18, false)); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), Option::Some(extra)); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); - - let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.greater_equal(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} - -#[test] -#[available_gas(2000000)] -fn tensor_greater_equal_fp_broadcast() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new(0, false)); - arr_1.append(FixedTrait::new(1, false)); - arr_1.append(FixedTrait::new(2, false)); - arr_1.append(FixedTrait::new(3, false)); - arr_1.append(FixedTrait::new(4, false)); - arr_1.append(FixedTrait::new(5, false)); - arr_1.append(FixedTrait::new(6, false)); - arr_1.append(FixedTrait::new(7, false)); - arr_1.append(FixedTrait::new(8, false)); - arr_1.append(FixedTrait::new(9, false)); - arr_1.append(FixedTrait::new(10, false)); - arr_1.append(FixedTrait::new(11, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new(0, false)); - arr_2.append(FixedTrait::new(1, false)); - arr_2.append(FixedTrait::new(2, false)); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), Option::Some(extra)); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), Option::Some(extra)); - - let result_a = tensor_b.greater_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.greater_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} +mod greater_equal_fp8x23_test; +mod greater_equal_fp16x16_test; diff --git a/src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp16x16_test.cairo b/src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp16x16_test.cairo new file mode 100644 index 000000000..ccb842082 --- /dev/null +++ b/src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp16x16_test.cairo @@ -0,0 +1,317 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::numbers::fixed_point::{ + core::{FixedTrait, FixedType}, implementations::impl_16x16::FP16x16Impl + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater_equal(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::numbers::fixed_point::{ + core::{FixedTrait, FixedType}, implementations::impl_16x16::FP16x16Impl + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + + #[test] + #[available_gas(200000000000)] + fn tensor_greater_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + arr_2.append(FixedTrait::new_unscaled(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater_equal(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater_equal(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(200000000000)] + fn tensor_greater_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + arr_1.append(FixedTrait::new_unscaled(9, false)); + arr_1.append(FixedTrait::new_unscaled(10, false)); + arr_1.append(FixedTrait::new_unscaled(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data.at(9) == 1, 'result[9] = 1'); + assert(*result_b.data.at(10) == 1, 'result[10] = 1'); + assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::numbers::fixed_point::{ + core::{FixedTrait, FixedType}, implementations::impl_16x16::FP16x16Impl + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater_equal(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater_equal(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} diff --git a/src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo b/src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo new file mode 100644 index 000000000..ee0588820 --- /dev/null +++ b/src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo @@ -0,0 +1,317 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::numbers::fixed_point::{ + core::{FixedTrait, FixedType}, implementations::impl_8x23::FP8x23Impl + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater_equal(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::numbers::fixed_point::{ + core::{FixedTrait, FixedType}, implementations::impl_8x23::FP8x23Impl + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + + #[test] + #[available_gas(200000000000)] + fn tensor_greater_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + arr_2.append(FixedTrait::new_unscaled(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater_equal(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater_equal(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(200000000000)] + fn tensor_greater_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + arr_1.append(FixedTrait::new_unscaled(9, false)); + arr_1.append(FixedTrait::new_unscaled(10, false)); + arr_1.append(FixedTrait::new_unscaled(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data.at(9) == 1, 'result[9] = 1'); + assert(*result_b.data.at(10) == 1, 'result[10] = 1'); + assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::numbers::fixed_point::{ + core::{FixedTrait, FixedType}, implementations::impl_8x23::FP8x23Impl + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater_equal(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater_equal(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} diff --git a/src/tests/operators/math/greater_equal/greater_equal_i32_test.cairo b/src/tests/operators/math/greater_equal/greater_equal_i32_test.cairo index 6d1c7b4cd..4039e559e 100644 --- a/src/tests/operators/math/greater_equal/greater_equal_i32_test.cairo +++ b/src/tests/operators/math/greater_equal/greater_equal_i32_test.cairo @@ -1,134 +1,311 @@ -use array::SpanTrait; -use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - -#[test] -#[available_gas(2000000)] -fn tensor_greater_equal_i32() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); - arr_1.append(IntegerTrait::new(3, false)); - arr_1.append(IntegerTrait::new(4, false)); - arr_1.append(IntegerTrait::new(5, false)); - arr_1.append(IntegerTrait::new(6, false)); - arr_1.append(IntegerTrait::new(7, false)); - arr_1.append(IntegerTrait::new(8, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(10, false)); - arr_2.append(IntegerTrait::new(11, false)); - arr_2.append(IntegerTrait::new(2, true)); - arr_2.append(IntegerTrait::new(3, true)); - arr_2.append(IntegerTrait::new(4, false)); - arr_2.append(IntegerTrait::new(5, false)); - arr_2.append(IntegerTrait::new(16, false)); - arr_2.append(IntegerTrait::new(17, false)); - arr_2.append(IntegerTrait::new(18, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.greater_equal(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, true)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater_equal(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + + #[test] + #[available_gas(200000000000)] + fn tensor_greater_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + arr_1.append(IntegerTrait::new(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, true)); + arr_2.append(IntegerTrait::new(3, true)); + arr_2.append(IntegerTrait::new(4, false)); + arr_2.append(IntegerTrait::new(5, false)); + arr_2.append(IntegerTrait::new(16, false)); + arr_2.append(IntegerTrait::new(17, false)); + arr_2.append(IntegerTrait::new(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater_equal(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater_equal(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(200000000000)] + fn tensor_greater_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + arr_1.append(IntegerTrait::new(8, false)); + arr_1.append(IntegerTrait::new(9, false)); + arr_1.append(IntegerTrait::new(10, false)); + arr_1.append(IntegerTrait::new(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(0, false)); + arr_2.append(IntegerTrait::new(1, false)); + arr_2.append(IntegerTrait::new(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data.at(9) == 1, 'result[9] = 1'); + assert(*result_b.data.at(10) == 1, 'result[10] = 1'); + assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -#[test] -#[available_gas(2000000)] -fn tensor_greater_equal_i32_broadcast() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); - arr_1.append(IntegerTrait::new(3, false)); - arr_1.append(IntegerTrait::new(4, false)); - arr_1.append(IntegerTrait::new(5, false)); - arr_1.append(IntegerTrait::new(6, false)); - arr_1.append(IntegerTrait::new(7, false)); - arr_1.append(IntegerTrait::new(8, false)); - arr_1.append(IntegerTrait::new(9, false)); - arr_1.append(IntegerTrait::new(10, false)); - arr_1.append(IntegerTrait::new(11, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(0, false)); - arr_2.append(IntegerTrait::new(1, false)); - arr_2.append(IntegerTrait::new(2, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.greater_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.greater_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, true)); + arr_2.append(IntegerTrait::new(3, true)); + arr_2.append(IntegerTrait::new(4, false)); + arr_2.append(IntegerTrait::new(5, false)); + arr_2.append(IntegerTrait::new(16, false)); + arr_2.append(IntegerTrait::new(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater_equal(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater_equal(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000000000)] + fn tensor_greater_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(0, false)); + arr_2.append(IntegerTrait::new(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } diff --git a/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo b/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo index 308071091..80ef9ec8d 100644 --- a/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo +++ b/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo @@ -1,289 +1,310 @@ -use array::SpanTrait; -use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - // ===== 1D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_greater_equal_1D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_greater_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10); - arr_2.append(11); - arr_2.append(2); + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(1); - let extra = Option::::None(()); + let extra = Option::::None(()); - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + let result_a = tensor_a.greater_equal(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - let result_b = tensor_b.greater_equal(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 0'); + let result_b = tensor_b.greater_equal(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -// ===== 2D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_greater_equal_2D() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); - arr_1.append(3); - arr_1.append(4); - arr_1.append(7); - arr_1.append(6); - arr_1.append(7); - arr_1.append(8); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10); - arr_2.append(11); - arr_2.append(12); - arr_2.append(13); - arr_2.append(4); - arr_2.append(5); - arr_2.append(16); - arr_2.append(17); - arr_2.append(18); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 1, 'result[4] = 0'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.greater_equal(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} +// ===== 2D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_greater_equal_broadcast_2D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); - arr_1.append(3); - arr_1.append(4); - arr_1.append(5); - arr_1.append(6); - arr_1.append(7); - arr_1.append(8); - arr_1.append(9); - arr_1.append(10); - arr_1.append(11); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0); - arr_2.append(1); - arr_2.append(2); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.greater_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.greater_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_greater_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(7); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(12); + arr_2.append(13); + arr_2.append(4); + arr_2.append(5); + arr_2.append(16); + arr_2.append(17); + arr_2.append(18); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater_equal(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater_equal(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_greater_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + arr_1.append(9); + arr_1.append(10); + arr_1.append(11); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(0); + arr_2.append(1); + arr_2.append(2); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data.at(9) == 0, 'result[9] = 0'); + assert(*result_a.data.at(10) == 0, 'result[10] = 0'); + assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data.at(9) == 1, 'result[9] = 1'); + assert(*result_b.data.at(10) == 1, 'result[10] = 1'); + assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } // ===== 3D ===== // -#[test] -#[available_gas(2000000)] -fn tensor_greater_equal_3D() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0_u32); - arr_1.append(1_u32); - arr_1.append(2_u32); - arr_1.append(3_u32); - arr_1.append(4_u32); - arr_1.append(7_u32); - arr_1.append(6_u32); - arr_1.append(7_u32); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10_u32); - arr_2.append(11_u32); - arr_2.append(12_u32); - arr_2.append(13_u32); - arr_2.append(4_u32); - arr_2.append(5_u32); - arr_2.append(16_u32); - arr_2.append(17_u32); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.greater_equal(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_greater_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0_u32); + arr_1.append(1_u32); + arr_1.append(2_u32); + arr_1.append(3_u32); + arr_1.append(4_u32); + arr_1.append(7_u32); + arr_1.append(6_u32); + arr_1.append(7_u32); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10_u32); + arr_2.append(11_u32); + arr_2.append(12_u32); + arr_2.append(13_u32); + arr_2.append(4_u32); + arr_2.append(5_u32); + arr_2.append(16_u32); + arr_2.append(17_u32); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.greater_equal(@tensor_b); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.greater_equal(@tensor_a); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_greater_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(0); + arr_2.append(1); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.greater_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 0, 'result[3] = 0'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 0, 'result[6] = 0'); + assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.greater_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -#[test] -#[available_gas(2000000)] -fn tensor_greater_equal_broadcast_3D() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(2); - sizes_1.append(2); - sizes_1.append(2); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(2); - sizes_2.append(1); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); - arr_1.append(3); - arr_1.append(4); - arr_1.append(5); - arr_1.append(6); - arr_1.append(7); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0); - arr_2.append(1); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.greater_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.greater_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} From 69cb05006f26166b43b66ca548fe11a975ac038d Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 10:49:45 +0300 Subject: [PATCH 025/126] refactor tensor less tests --- .../operators/math/less/less_fp_test.cairo | 136 +----- .../less/less_fp_test/less_fp16x16_test.cairo | 313 +++++++++++++ .../less/less_fp_test/less_fp8x23_test.cairo | 313 +++++++++++++ .../operators/math/less/less_i32_test.cairo | 441 ++++++++++++------ .../operators/math/less/less_u32_test.cairo | 437 +++++++++++------ 5 files changed, 1243 insertions(+), 397 deletions(-) create mode 100644 src/tests/operators/math/less/less_fp_test/less_fp16x16_test.cairo create mode 100644 src/tests/operators/math/less/less_fp_test/less_fp8x23_test.cairo diff --git a/src/tests/operators/math/less/less_fp_test.cairo b/src/tests/operators/math/less/less_fp_test.cairo index a92f04346..65177e165 100644 --- a/src/tests/operators/math/less/less_fp_test.cairo +++ b/src/tests/operators/math/less/less_fp_test.cairo @@ -1,134 +1,2 @@ -use array::SpanTrait; -use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp;use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; - -#[test] -#[available_gas(2000000)] -fn tensor_less_fp() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new(0, false)); - arr_1.append(FixedTrait::new(1, false)); - arr_1.append(FixedTrait::new(2, false)); - arr_1.append(FixedTrait::new(3, false)); - arr_1.append(FixedTrait::new(4, false)); - arr_1.append(FixedTrait::new(5, false)); - arr_1.append(FixedTrait::new(6, false)); - arr_1.append(FixedTrait::new(7, false)); - arr_1.append(FixedTrait::new(8, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new(10, false)); - arr_2.append(FixedTrait::new(11, false)); - arr_2.append(FixedTrait::new(2, true)); - arr_2.append(FixedTrait::new(3, true)); - arr_2.append(FixedTrait::new(4, false)); - arr_2.append(FixedTrait::new(5, false)); - arr_2.append(FixedTrait::new(16, false)); - arr_2.append(FixedTrait::new(17, false)); - arr_2.append(FixedTrait::new(18, false)); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), Option::Some(extra)); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); - - let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.less(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} - -#[test] -#[available_gas(2000000)] -fn tensor_less_fp_broadcast() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new(0, false)); - arr_1.append(FixedTrait::new(1, false)); - arr_1.append(FixedTrait::new(2, false)); - arr_1.append(FixedTrait::new(3, false)); - arr_1.append(FixedTrait::new(4, false)); - arr_1.append(FixedTrait::new(5, false)); - arr_1.append(FixedTrait::new(6, false)); - arr_1.append(FixedTrait::new(7, false)); - arr_1.append(FixedTrait::new(8, false)); - arr_1.append(FixedTrait::new(9, false)); - arr_1.append(FixedTrait::new(10, false)); - arr_1.append(FixedTrait::new(11, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new(0, false)); - arr_2.append(FixedTrait::new(1, false)); - arr_2.append(FixedTrait::new(2, false)); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), Option::Some(extra)); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), Option::Some(extra)); - - let result_a = tensor_b.less(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - assert(*result_a.data.at(9) == 1, 'result[9] = 1'); - assert(*result_a.data.at(10) == 1, 'result[10] = 1'); - assert(*result_a.data.at(11) == 1, 'result[11] = 1'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.less(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} +mod less_fp8x23_test; +mod less_fp16x16_test; \ No newline at end of file diff --git a/src/tests/operators/math/less/less_fp_test/less_fp16x16_test.cairo b/src/tests/operators/math/less/less_fp_test/less_fp16x16_test.cairo new file mode 100644 index 000000000..7d3237018 --- /dev/null +++ b/src/tests/operators/math/less/less_fp_test/less_fp16x16_test.cairo @@ -0,0 +1,313 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(2000000000000)] + fn tensor_less() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + + #[test] + #[available_gas(200000000000)] + fn tensor_less() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + arr_2.append(FixedTrait::new_unscaled(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 1'); + assert(*result_b.data.at(1) == 0, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(200000000000)] + fn tensor_less_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + arr_1.append(FixedTrait::new_unscaled(9, false)); + arr_1.append(FixedTrait::new_unscaled(10, false)); + arr_1.append(FixedTrait::new_unscaled(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data.at(9) == 1, 'result[9] = 1'); + assert(*result_a.data.at(10) == 1, 'result[10] = 1'); + assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 1'); + assert(*result_b.data.at(5) == 0, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + assert(*result_b.data.at(9) == 0, 'result[9] = 1'); + assert(*result_b.data.at(10) == 0, 'result[10] = 1'); + assert(*result_b.data.at(11) == 0, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + + #[test] + #[available_gas(2000000000000)] + fn tensor_less() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 1'); + assert(*result_b.data.at(1) == 0, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000000000)] + fn tensor_less_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 1'); + assert(*result_b.data.at(5) == 0, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} diff --git a/src/tests/operators/math/less/less_fp_test/less_fp8x23_test.cairo b/src/tests/operators/math/less/less_fp_test/less_fp8x23_test.cairo new file mode 100644 index 000000000..acbaff4b9 --- /dev/null +++ b/src/tests/operators/math/less/less_fp_test/less_fp8x23_test.cairo @@ -0,0 +1,313 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(2000000000000)] + fn tensor_less() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + + #[test] + #[available_gas(200000000000)] + fn tensor_less() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + arr_2.append(FixedTrait::new_unscaled(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 1'); + assert(*result_b.data.at(1) == 0, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(200000000000)] + fn tensor_less_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + arr_1.append(FixedTrait::new_unscaled(9, false)); + arr_1.append(FixedTrait::new_unscaled(10, false)); + arr_1.append(FixedTrait::new_unscaled(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data.at(9) == 1, 'result[9] = 1'); + assert(*result_a.data.at(10) == 1, 'result[10] = 1'); + assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 1'); + assert(*result_b.data.at(5) == 0, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + assert(*result_b.data.at(9) == 0, 'result[9] = 1'); + assert(*result_b.data.at(10) == 0, 'result[10] = 1'); + assert(*result_b.data.at(11) == 0, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + + #[test] + #[available_gas(2000000000000)] + fn tensor_less() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 1'); + assert(*result_b.data.at(1) == 0, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000000000)] + fn tensor_less_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 1'); + assert(*result_b.data.at(5) == 0, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} diff --git a/src/tests/operators/math/less/less_i32_test.cairo b/src/tests/operators/math/less/less_i32_test.cairo index 7f04b2b8e..0abd2751d 100644 --- a/src/tests/operators/math/less/less_i32_test.cairo +++ b/src/tests/operators/math/less/less_i32_test.cairo @@ -1,136 +1,311 @@ -use array::SpanTrait; -use array::{ArrayTrait}; - -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - - -#[test] -#[available_gas(2000000)] -fn tensor_less_i32() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); - arr_1.append(IntegerTrait::new(3, false)); - arr_1.append(IntegerTrait::new(4, false)); - arr_1.append(IntegerTrait::new(5, false)); - arr_1.append(IntegerTrait::new(6, false)); - arr_1.append(IntegerTrait::new(7, false)); - arr_1.append(IntegerTrait::new(8, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(10, false)); - arr_2.append(IntegerTrait::new(11, false)); - arr_2.append(IntegerTrait::new(2, true)); - arr_2.append(IntegerTrait::new(3, true)); - arr_2.append(IntegerTrait::new(4, false)); - arr_2.append(IntegerTrait::new(5, false)); - arr_2.append(IntegerTrait::new(16, false)); - arr_2.append(IntegerTrait::new(17, false)); - arr_2.append(IntegerTrait::new(18, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.less(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000000000)] + fn tensor_less() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, true)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + + #[test] + #[available_gas(200000000000)] + fn tensor_less() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + arr_1.append(IntegerTrait::new(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, true)); + arr_2.append(IntegerTrait::new(3, true)); + arr_2.append(IntegerTrait::new(4, false)); + arr_2.append(IntegerTrait::new(5, false)); + arr_2.append(IntegerTrait::new(16, false)); + arr_2.append(IntegerTrait::new(17, false)); + arr_2.append(IntegerTrait::new(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 1'); + assert(*result_b.data.at(1) == 0, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(200000000000)] + fn tensor_less_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + arr_1.append(IntegerTrait::new(8, false)); + arr_1.append(IntegerTrait::new(9, false)); + arr_1.append(IntegerTrait::new(10, false)); + arr_1.append(IntegerTrait::new(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(0, false)); + arr_2.append(IntegerTrait::new(1, false)); + arr_2.append(IntegerTrait::new(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data.at(9) == 1, 'result[9] = 1'); + assert(*result_a.data.at(10) == 1, 'result[10] = 1'); + assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 1'); + assert(*result_b.data.at(5) == 0, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + assert(*result_b.data.at(9) == 0, 'result[9] = 1'); + assert(*result_b.data.at(10) == 0, 'result[10] = 1'); + assert(*result_b.data.at(11) == 0, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -#[test] -#[available_gas(2000000)] -fn tensor_less_i32_broadcast() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); - arr_1.append(IntegerTrait::new(3, false)); - arr_1.append(IntegerTrait::new(4, false)); - arr_1.append(IntegerTrait::new(5, false)); - arr_1.append(IntegerTrait::new(6, false)); - arr_1.append(IntegerTrait::new(7, false)); - arr_1.append(IntegerTrait::new(8, false)); - arr_1.append(IntegerTrait::new(9, false)); - arr_1.append(IntegerTrait::new(10, false)); - arr_1.append(IntegerTrait::new(11, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(0, false)); - arr_2.append(IntegerTrait::new(1, false)); - arr_2.append(IntegerTrait::new(2, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.less(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - assert(*result_a.data.at(9) == 1, 'result[9] = 1'); - assert(*result_a.data.at(10) == 1, 'result[10] = 1'); - assert(*result_a.data.at(11) == 1, 'result[11] = 1'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.less(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000000000)] + fn tensor_less() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, true)); + arr_2.append(IntegerTrait::new(3, true)); + arr_2.append(IntegerTrait::new(4, false)); + arr_2.append(IntegerTrait::new(5, false)); + arr_2.append(IntegerTrait::new(16, false)); + arr_2.append(IntegerTrait::new(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 1'); + assert(*result_b.data.at(1) == 0, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000000000)] + fn tensor_less_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(0, false)); + arr_2.append(IntegerTrait::new(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 1'); + assert(*result_b.data.at(5) == 0, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } diff --git a/src/tests/operators/math/less/less_u32_test.cairo b/src/tests/operators/math/less/less_u32_test.cairo index 9bfbd3e4d..cf6b3c8b8 100644 --- a/src/tests/operators/math/less/less_u32_test.cairo +++ b/src/tests/operators/math/less/less_u32_test.cairo @@ -1,133 +1,310 @@ -use array::SpanTrait; -use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - -#[test] -#[available_gas(2000000)] -fn tensor_less_u32() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); - arr_1.append(3); - arr_1.append(4); - arr_1.append(7); - arr_1.append(6); - arr_1.append(7); - arr_1.append(8); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10); - arr_2.append(11); - arr_2.append(12); - arr_2.append(13); - arr_2.append(4); - arr_2.append(5); - arr_2.append(16); - arr_2.append(17); - arr_2.append(18); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.less(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_less() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(1); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_less() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(7); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(12); + arr_2.append(13); + arr_2.append(4); + arr_2.append(5); + arr_2.append(16); + arr_2.append(17); + arr_2.append(18); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data.at(8) == 0, 'result[8] = 0'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_less_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + arr_1.append(9); + arr_1.append(10); + arr_1.append(11); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(0); + arr_2.append(1); + arr_2.append(2); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data.at(9) == 1, 'result[9] = 1'); + assert(*result_a.data.at(10) == 1, 'result[10] = 1'); + assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data.at(8) == 0, 'result[8] = 0'); + assert(*result_b.data.at(9) == 0, 'result[9] = 0'); + assert(*result_b.data.at(10) == 0, 'result[10] = 0'); + assert(*result_b.data.at(11) == 0, 'result[11] = 0'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -#[test] -#[available_gas(2000000)] -fn tensor_less_u32_broadcast() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); - arr_1.append(3); - arr_1.append(4); - arr_1.append(5); - arr_1.append(6); - arr_1.append(7); - arr_1.append(8); - arr_1.append(9); - arr_1.append(10); - arr_1.append(11); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0); - arr_2.append(1); - arr_2.append(2); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.less(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - assert(*result_a.data.at(9) == 1, 'result[9] = 1'); - assert(*result_a.data.at(10) == 1, 'result[10] = 1'); - assert(*result_a.data.at(11) == 1, 'result[11] = 1'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.less(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_less() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0_u32); + arr_1.append(1_u32); + arr_1.append(2_u32); + arr_1.append(3_u32); + arr_1.append(4_u32); + arr_1.append(7_u32); + arr_1.append(6_u32); + arr_1.append(7_u32); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10_u32); + arr_2.append(11_u32); + arr_2.append(12_u32); + arr_2.append(13_u32); + arr_2.append(4_u32); + arr_2.append(5_u32); + arr_2.append(16_u32); + arr_2.append(17_u32); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 0, 'result[4] = 0'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_less_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(0); + arr_2.append(1); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less(@tensor_a); + assert(*result_a.data.at(0) == 0, 'result[0] = 0'); + assert(*result_a.data.at(1) == 0, 'result[1] = 0'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less(@tensor_b); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } + From f55af597acbba8968fe49cad68f2f4098ebe49b0 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 11:02:07 +0300 Subject: [PATCH 026/126] refactor tensor less_equal tests --- .../operators/math/less/less_i32_test.cairo | 12 +- .../math/less_equal/less_equal_fp_test.cairo | 136 +----- .../less_equal_fp16x16_test.cairo | 314 +++++++++++++ .../less_equal_fp8x23_test.cairo | 314 +++++++++++++ .../math/less_equal/less_equal_i32_test.cairo | 440 ++++++++++++------ .../math/less_equal/less_equal_u32_test.cairo | 437 +++++++++++------ 6 files changed, 1251 insertions(+), 402 deletions(-) create mode 100644 src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp16x16_test.cairo create mode 100644 src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo diff --git a/src/tests/operators/math/less/less_i32_test.cairo b/src/tests/operators/math/less/less_i32_test.cairo index 0abd2751d..9cc413f72 100644 --- a/src/tests/operators/math/less/less_i32_test.cairo +++ b/src/tests/operators/math/less/less_i32_test.cairo @@ -299,12 +299,12 @@ mod tensor_3D { let result_b = tensor_a.less(@tensor_b); assert(*result_b.data.at(0) == 0, 'result[0] = 0'); assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 1'); - assert(*result_b.data.at(5) == 0, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/math/less_equal/less_equal_fp_test.cairo b/src/tests/operators/math/less_equal/less_equal_fp_test.cairo index c821ca3e5..cc5230ac6 100644 --- a/src/tests/operators/math/less_equal/less_equal_fp_test.cairo +++ b/src/tests/operators/math/less_equal/less_equal_fp_test.cairo @@ -1,134 +1,2 @@ -use array::SpanTrait; -use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp;use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; - -#[test] -#[available_gas(2000000)] -fn tensor_less_equal_fp() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new(0, false)); - arr_1.append(FixedTrait::new(1, false)); - arr_1.append(FixedTrait::new(2, false)); - arr_1.append(FixedTrait::new(3, false)); - arr_1.append(FixedTrait::new(4, false)); - arr_1.append(FixedTrait::new(5, false)); - arr_1.append(FixedTrait::new(6, false)); - arr_1.append(FixedTrait::new(7, false)); - arr_1.append(FixedTrait::new(8, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new(10, false)); - arr_2.append(FixedTrait::new(11, false)); - arr_2.append(FixedTrait::new(2, true)); - arr_2.append(FixedTrait::new(3, true)); - arr_2.append(FixedTrait::new(4, false)); - arr_2.append(FixedTrait::new(5, false)); - arr_2.append(FixedTrait::new(16, false)); - arr_2.append(FixedTrait::new(17, false)); - arr_2.append(FixedTrait::new(18, false)); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), Option::Some(extra)); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); - - let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.less_equal(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} - -#[test] -#[available_gas(2000000)] -fn tensor_less_equal_fp_broadcast() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(FixedTrait::new(0, false)); - arr_1.append(FixedTrait::new(1, false)); - arr_1.append(FixedTrait::new(2, false)); - arr_1.append(FixedTrait::new(3, false)); - arr_1.append(FixedTrait::new(4, false)); - arr_1.append(FixedTrait::new(5, false)); - arr_1.append(FixedTrait::new(6, false)); - arr_1.append(FixedTrait::new(7, false)); - arr_1.append(FixedTrait::new(8, false)); - arr_1.append(FixedTrait::new(9, false)); - arr_1.append(FixedTrait::new(10, false)); - arr_1.append(FixedTrait::new(11, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(FixedTrait::new(0, false)); - arr_2.append(FixedTrait::new(1, false)); - arr_2.append(FixedTrait::new(2, false)); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), Option::Some(extra)); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), Option::Some(extra)); - - let result_a = tensor_b.less_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - assert(*result_a.data.at(9) == 1, 'result[9] = 1'); - assert(*result_a.data.at(10) == 1, 'result[10] = 1'); - assert(*result_a.data.at(11) == 1, 'result[11] = 1'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.less_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); -} +mod less_equal_fp8x23_test; +mod less_equal_fp16x16_test; diff --git a/src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp16x16_test.cairo b/src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp16x16_test.cairo new file mode 100644 index 000000000..2ed2b5023 --- /dev/null +++ b/src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp16x16_test.cairo @@ -0,0 +1,314 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(2000000000000)] + fn tensor_less_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less_equal(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + + #[test] + #[available_gas(200000000000)] + fn tensor_less_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + arr_2.append(FixedTrait::new_unscaled(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less_equal(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less_equal(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 1'); + assert(*result_b.data.at(1) == 0, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(200000000000)] + fn tensor_less_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + arr_1.append(FixedTrait::new_unscaled(9, false)); + arr_1.append(FixedTrait::new_unscaled(10, false)); + arr_1.append(FixedTrait::new_unscaled(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data.at(9) == 1, 'result[9] = 1'); + assert(*result_a.data.at(10) == 1, 'result[10] = 1'); + assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 1'); + assert(*result_b.data.at(5) == 0, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + assert(*result_b.data.at(9) == 0, 'result[9] = 1'); + assert(*result_b.data.at(10) == 0, 'result[10] = 1'); + assert(*result_b.data.at(11) == 0, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(2000000000000)] + fn tensor_less_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less_equal(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less_equal(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 1'); + assert(*result_b.data.at(1) == 0, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000000000)] + fn tensor_less_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} diff --git a/src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo b/src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo new file mode 100644 index 000000000..c9456396a --- /dev/null +++ b/src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo @@ -0,0 +1,314 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(2000000000000)] + fn tensor_less_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less_equal(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + + #[test] + #[available_gas(200000000000)] + fn tensor_less_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + arr_2.append(FixedTrait::new_unscaled(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less_equal(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less_equal(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 1'); + assert(*result_b.data.at(1) == 0, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(200000000000)] + fn tensor_less_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + arr_1.append(FixedTrait::new_unscaled(8, false)); + arr_1.append(FixedTrait::new_unscaled(9, false)); + arr_1.append(FixedTrait::new_unscaled(10, false)); + arr_1.append(FixedTrait::new_unscaled(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + arr_2.append(FixedTrait::new_unscaled(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data.at(9) == 1, 'result[9] = 1'); + assert(*result_a.data.at(10) == 1, 'result[10] = 1'); + assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 1'); + assert(*result_b.data.at(5) == 0, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + assert(*result_b.data.at(9) == 0, 'result[9] = 1'); + assert(*result_b.data.at(10) == 0, 'result[10] = 1'); + assert(*result_b.data.at(11) == 0, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(2000000000000)] + fn tensor_less_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(10, false)); + arr_2.append(FixedTrait::new_unscaled(11, false)); + arr_2.append(FixedTrait::new_unscaled(2, true)); + arr_2.append(FixedTrait::new_unscaled(3, true)); + arr_2.append(FixedTrait::new_unscaled(4, false)); + arr_2.append(FixedTrait::new_unscaled(5, false)); + arr_2.append(FixedTrait::new_unscaled(16, false)); + arr_2.append(FixedTrait::new_unscaled(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less_equal(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less_equal(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 1'); + assert(*result_b.data.at(1) == 0, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000000000)] + fn tensor_less_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(FixedTrait::new_unscaled(0, false)); + arr_1.append(FixedTrait::new_unscaled(1, false)); + arr_1.append(FixedTrait::new_unscaled(2, false)); + arr_1.append(FixedTrait::new_unscaled(3, false)); + arr_1.append(FixedTrait::new_unscaled(4, false)); + arr_1.append(FixedTrait::new_unscaled(5, false)); + arr_1.append(FixedTrait::new_unscaled(6, false)); + arr_1.append(FixedTrait::new_unscaled(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(FixedTrait::new_unscaled(0, false)); + arr_2.append(FixedTrait::new_unscaled(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} diff --git a/src/tests/operators/math/less_equal/less_equal_i32_test.cairo b/src/tests/operators/math/less_equal/less_equal_i32_test.cairo index e85236e3c..cb06e188b 100644 --- a/src/tests/operators/math/less_equal/less_equal_i32_test.cairo +++ b/src/tests/operators/math/less_equal/less_equal_i32_test.cairo @@ -1,135 +1,311 @@ -use array::SpanTrait; -use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - - -#[test] -#[available_gas(2000000)] -fn tensor_less_equal_i32() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); - arr_1.append(IntegerTrait::new(3, false)); - arr_1.append(IntegerTrait::new(4, false)); - arr_1.append(IntegerTrait::new(5, false)); - arr_1.append(IntegerTrait::new(6, false)); - arr_1.append(IntegerTrait::new(7, false)); - arr_1.append(IntegerTrait::new(8, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(10, false)); - arr_2.append(IntegerTrait::new(11, false)); - arr_2.append(IntegerTrait::new(2, true)); - arr_2.append(IntegerTrait::new(3, true)); - arr_2.append(IntegerTrait::new(4, false)); - arr_2.append(IntegerTrait::new(5, false)); - arr_2.append(IntegerTrait::new(16, false)); - arr_2.append(IntegerTrait::new(17, false)); - arr_2.append(IntegerTrait::new(18, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.less_equal(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000000000)] + fn tensor_less_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, true)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less_equal(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + + #[test] + #[available_gas(200000000000)] + fn tensor_less_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + arr_1.append(IntegerTrait::new(8, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, true)); + arr_2.append(IntegerTrait::new(3, true)); + arr_2.append(IntegerTrait::new(4, false)); + arr_2.append(IntegerTrait::new(5, false)); + arr_2.append(IntegerTrait::new(16, false)); + arr_2.append(IntegerTrait::new(17, false)); + arr_2.append(IntegerTrait::new(18, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less_equal(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less_equal(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 1'); + assert(*result_b.data.at(1) == 0, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(200000000000)] + fn tensor_less_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + arr_1.append(IntegerTrait::new(8, false)); + arr_1.append(IntegerTrait::new(9, false)); + arr_1.append(IntegerTrait::new(10, false)); + arr_1.append(IntegerTrait::new(11, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(0, false)); + arr_2.append(IntegerTrait::new(1, false)); + arr_2.append(IntegerTrait::new(2, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data.at(9) == 1, 'result[9] = 1'); + assert(*result_a.data.at(10) == 1, 'result[10] = 1'); + assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 1'); + assert(*result_b.data.at(4) == 0, 'result[4] = 1'); + assert(*result_b.data.at(5) == 0, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + assert(*result_b.data.at(9) == 0, 'result[9] = 1'); + assert(*result_b.data.at(10) == 0, 'result[10] = 1'); + assert(*result_b.data.at(11) == 0, 'result[11] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -#[test] -#[available_gas(2000000)] -fn tensor_less_equal_i32_broadcast() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(IntegerTrait::new(0, false)); - arr_1.append(IntegerTrait::new(1, false)); - arr_1.append(IntegerTrait::new(2, false)); - arr_1.append(IntegerTrait::new(3, false)); - arr_1.append(IntegerTrait::new(4, false)); - arr_1.append(IntegerTrait::new(5, false)); - arr_1.append(IntegerTrait::new(6, false)); - arr_1.append(IntegerTrait::new(7, false)); - arr_1.append(IntegerTrait::new(8, false)); - arr_1.append(IntegerTrait::new(9, false)); - arr_1.append(IntegerTrait::new(10, false)); - arr_1.append(IntegerTrait::new(11, false)); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(IntegerTrait::new(0, false)); - arr_2.append(IntegerTrait::new(1, false)); - arr_2.append(IntegerTrait::new(2, false)); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.less_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - assert(*result_a.data.at(9) == 1, 'result[9] = 1'); - assert(*result_a.data.at(10) == 1, 'result[10] = 1'); - assert(*result_a.data.at(11) == 1, 'result[11] = 1'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.less_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000000000)] + fn tensor_less_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(10, false)); + arr_2.append(IntegerTrait::new(11, false)); + arr_2.append(IntegerTrait::new(2, true)); + arr_2.append(IntegerTrait::new(3, true)); + arr_2.append(IntegerTrait::new(4, false)); + arr_2.append(IntegerTrait::new(5, false)); + arr_2.append(IntegerTrait::new(16, false)); + arr_2.append(IntegerTrait::new(17, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less_equal(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data.at(3) == 0, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less_equal(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 1'); + assert(*result_b.data.at(1) == 0, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 1, 'result[3] = 1'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 1'); + assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000000000)] + fn tensor_less_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(IntegerTrait::new(0, false)); + arr_1.append(IntegerTrait::new(1, false)); + arr_1.append(IntegerTrait::new(2, false)); + arr_1.append(IntegerTrait::new(3, false)); + arr_1.append(IntegerTrait::new(4, false)); + arr_1.append(IntegerTrait::new(5, false)); + arr_1.append(IntegerTrait::new(6, false)); + arr_1.append(IntegerTrait::new(7, false)); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(IntegerTrait::new(0, false)); + arr_2.append(IntegerTrait::new(1, false)); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } diff --git a/src/tests/operators/math/less_equal/less_equal_u32_test.cairo b/src/tests/operators/math/less_equal/less_equal_u32_test.cairo index da59fb24d..97434920e 100644 --- a/src/tests/operators/math/less_equal/less_equal_u32_test.cairo +++ b/src/tests/operators/math/less_equal/less_equal_u32_test.cairo @@ -1,133 +1,310 @@ -use array::SpanTrait; -use array::{ArrayTrait}; -use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - -#[test] -#[available_gas(2000000)] -fn tensor_less_equal_u32() { - let mut sizes = ArrayTrait::new(); - sizes.append(3); - sizes.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); - arr_1.append(3); - arr_1.append(4); - arr_1.append(7); - arr_1.append(6); - arr_1.append(7); - arr_1.append(8); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(10); - arr_2.append(11); - arr_2.append(12); - arr_2.append(13); - arr_2.append(4); - arr_2.append(5); - arr_2.append(16); - arr_2.append(17); - arr_2.append(18); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); - - let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_b.less_equal(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_less_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(1); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less_equal(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less_equal(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_less_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(3); + sizes.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(7); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10); + arr_2.append(11); + arr_2.append(12); + arr_2.append(13); + arr_2.append(4); + arr_2.append(5); + arr_2.append(16); + arr_2.append(17); + arr_2.append(18); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less_equal(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less_equal(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data.at(8) == 0, 'result[8] = 0'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_less_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(4); + sizes_1.append(3); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(3); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + arr_1.append(8); + arr_1.append(9); + arr_1.append(10); + arr_1.append(11); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(0); + arr_2.append(1); + arr_2.append(2); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data.at(9) == 1, 'result[9] = 1'); + assert(*result_a.data.at(10) == 1, 'result[10] = 1'); + assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data.at(8) == 0, 'result[8] = 0'); + assert(*result_b.data.at(9) == 0, 'result[9] = 0'); + assert(*result_b.data.at(10) == 0, 'result[10] = 0'); + assert(*result_b.data.at(11) == 0, 'result[11] = 0'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } -#[test] -#[available_gas(2000000)] -fn tensor_less_equal_u32_broadcast() { - let mut sizes_1 = ArrayTrait::new(); - sizes_1.append(4); - sizes_1.append(3); - - let mut sizes_2 = ArrayTrait::new(); - sizes_2.append(1); - sizes_2.append(3); - - let mut arr_1 = ArrayTrait::::new(); - arr_1.append(0); - arr_1.append(1); - arr_1.append(2); - arr_1.append(3); - arr_1.append(4); - arr_1.append(5); - arr_1.append(6); - arr_1.append(7); - arr_1.append(8); - arr_1.append(9); - arr_1.append(10); - arr_1.append(11); - - let mut arr_2 = ArrayTrait::::new(); - arr_2.append(0); - arr_2.append(1); - arr_2.append(2); - - let extra = Option::::None(()); - - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); - - let result_a = tensor_b.less_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - assert(*result_a.data.at(9) == 1, 'result[9] = 1'); - assert(*result_a.data.at(10) == 1, 'result[10] = 1'); - assert(*result_a.data.at(11) == 1, 'result[11] = 1'); - - assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); - - let result_b = tensor_a.less_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); - - assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use array::{ArrayTrait}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(2000000)] + fn tensor_less_equal() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0_u32); + arr_1.append(1_u32); + arr_1.append(2_u32); + arr_1.append(3_u32); + arr_1.append(4_u32); + arr_1.append(7_u32); + arr_1.append(6_u32); + arr_1.append(7_u32); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(10_u32); + arr_2.append(11_u32); + arr_2.append(12_u32); + arr_2.append(13_u32); + arr_2.append(4_u32); + arr_2.append(5_u32); + arr_2.append(16_u32); + arr_2.append(17_u32); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + + let result_a = tensor_a.less_equal(@tensor_b); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 0, 'result[5] = 0'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_b.less_equal(@tensor_a); + assert(*result_b.data.at(0) == 0, 'result[0] = 0'); + assert(*result_b.data.at(1) == 0, 'result[1] = 0'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 1, 'result[4] = 1'); + assert(*result_b.data.at(5) == 1, 'result[5] = 1'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } + + #[test] + #[available_gas(2000000)] + fn tensor_less_equal_broadcast() { + let mut sizes_1 = ArrayTrait::new(); + sizes_1.append(2); + sizes_1.append(2); + sizes_1.append(2); + + let mut sizes_2 = ArrayTrait::new(); + sizes_2.append(1); + sizes_2.append(2); + sizes_2.append(1); + + let mut arr_1 = ArrayTrait::::new(); + arr_1.append(0); + arr_1.append(1); + arr_1.append(2); + arr_1.append(3); + arr_1.append(4); + arr_1.append(5); + arr_1.append(6); + arr_1.append(7); + + let mut arr_2 = ArrayTrait::::new(); + arr_2.append(0); + arr_2.append(1); + + let extra = Option::::None(()); + + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + + let result_a = tensor_b.less_equal(@tensor_a); + assert(*result_a.data.at(0) == 1, 'result[0] = 1'); + assert(*result_a.data.at(1) == 1, 'result[1] = 1'); + assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data.at(3) == 1, 'result[3] = 1'); + assert(*result_a.data.at(4) == 1, 'result[4] = 1'); + assert(*result_a.data.at(5) == 1, 'result[5] = 1'); + assert(*result_a.data.at(6) == 1, 'result[6] = 1'); + assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + + assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + + let result_b = tensor_a.less_equal(@tensor_b); + assert(*result_b.data.at(0) == 1, 'result[0] = 1'); + assert(*result_b.data.at(1) == 1, 'result[1] = 1'); + assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data.at(3) == 0, 'result[3] = 0'); + assert(*result_b.data.at(4) == 0, 'result[4] = 0'); + assert(*result_b.data.at(5) == 0, 'result[5] = 0'); + assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + + assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); + } } + From 7a66bd8d3f8b0a8182ca06921ff9f9818d00290f Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 11:35:22 +0300 Subject: [PATCH 027/126] refactor tensor exp tests --- src/tests/operators/math.cairo | 2 +- src/tests/operators/math/exp.cairo | 3 + .../operators/math/exp/exp_fp_test.cairo | 2 + .../exp/exp_fp_test/exp_fp16x16_test.cairo | 79 +++++++++++++++++++ .../exp/exp_fp_test/exp_fp8x23_test.cairo | 78 ++++++++++++++++++ .../operators/math/exp/exp_i32_test.cairo | 79 +++++++++++++++++++ .../operators/math/exp/exp_u32_test.cairo | 79 +++++++++++++++++++ src/tests/operators/math/exp_test.cairo | 19 ----- 8 files changed, 321 insertions(+), 20 deletions(-) create mode 100644 src/tests/operators/math/exp.cairo create mode 100644 src/tests/operators/math/exp/exp_fp_test.cairo create mode 100644 src/tests/operators/math/exp/exp_fp_test/exp_fp16x16_test.cairo create mode 100644 src/tests/operators/math/exp/exp_fp_test/exp_fp8x23_test.cairo create mode 100644 src/tests/operators/math/exp/exp_i32_test.cairo create mode 100644 src/tests/operators/math/exp/exp_u32_test.cairo delete mode 100644 src/tests/operators/math/exp_test.cairo diff --git a/src/tests/operators/math.cairo b/src/tests/operators/math.cairo index 4fe9a7d63..cb5d99ec6 100644 --- a/src/tests/operators/math.cairo +++ b/src/tests/operators/math.cairo @@ -3,7 +3,7 @@ mod argmin; mod max_test; mod min_test; mod reduce_sum_test; -mod exp_test; +mod exp; mod equal; mod greater; mod greater_equal; diff --git a/src/tests/operators/math/exp.cairo b/src/tests/operators/math/exp.cairo new file mode 100644 index 000000000..d6c664da2 --- /dev/null +++ b/src/tests/operators/math/exp.cairo @@ -0,0 +1,3 @@ +mod exp_u32_test; +mod exp_i32_test; +mod exp_fp_test; diff --git a/src/tests/operators/math/exp/exp_fp_test.cairo b/src/tests/operators/math/exp/exp_fp_test.cairo new file mode 100644 index 000000000..4cbd312e1 --- /dev/null +++ b/src/tests/operators/math/exp/exp_fp_test.cairo @@ -0,0 +1,2 @@ +mod exp_fp8x23_test; +mod exp_fp16x16_test; \ No newline at end of file diff --git a/src/tests/operators/math/exp/exp_fp_test/exp_fp16x16_test.cairo b/src/tests/operators/math/exp/exp_fp_test/exp_fp16x16_test.cairo new file mode 100644 index 000000000..9b7161134 --- /dev/null +++ b/src/tests/operators/math/exp/exp_fp_test/exp_fp16x16_test.cairo @@ -0,0 +1,79 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = fp_tensor_1x3_helper(); + let result = tensor.exp().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 178142, 'result[1] = 2.7182...'); + assert((*result.at(2).mag).into() == 484232, 'result[2] = 7.389...'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = fp_tensor_2x2_helper(); + let result = tensor.exp().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 178142, 'result[1] = 2.7182...'); + assert((*result.at(2).mag).into() == 484232, 'result[2] = 7.389...'); + assert((*result.at(3).mag).into() == 1316288, 'result[3] = 20.085...'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.exp().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 178142, 'result[1] = 2.7182...'); + assert((*result.at(2).mag).into() == 484232, 'result[2] = 7.389...'); + assert((*result.at(3).mag).into() == 1316288, 'result[3] = 20.085...'); + assert((*result.at(4).mag).into() == 3577984, 'result[3] = 54.5981...'); + assert((*result.at(5).mag).into() == 9726080, 'result[3] = 148.4131...'); + assert((*result.at(6).mag).into() == 26437888, 'result[3] = 403.4287...'); + assert((*result.at(7).mag).into() == 71866368, 'result[3] = 1096.6331...'); + } +} + diff --git a/src/tests/operators/math/exp/exp_fp_test/exp_fp8x23_test.cairo b/src/tests/operators/math/exp/exp_fp_test/exp_fp8x23_test.cairo new file mode 100644 index 000000000..84df3f05c --- /dev/null +++ b/src/tests/operators/math/exp/exp_fp_test/exp_fp8x23_test.cairo @@ -0,0 +1,78 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = fp_tensor_1x3_helper(); + let result = tensor.exp().data; + + assert((*result.at(0).mag).into() == 8388608, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 22802598, 'result[1] = 2.7182...'); + assert((*result.at(2).mag).into() == 61983880, 'result[2] = 7.389...'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = fp_tensor_2x2_helper(); + let result = tensor.exp().data; + + assert((*result.at(0).mag).into() == 8388608, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 22802598, 'result[1] = 2.7182...'); + assert((*result.at(2).mag).into() == 61983880, 'result[2] = 7.389...'); + assert((*result.at(3).mag).into() == 168489680, 'result[3] = 20.085...'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.exp().data; + + assert((*result.at(0).mag).into() == 8388608, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 22802598, 'result[1] = 2.7182...'); + assert((*result.at(2).mag).into() == 61983880, 'result[2] = 7.389...'); + assert((*result.at(3).mag).into() == 168489680, 'result[3] = 20.085...'); + assert((*result.at(4).mag).into() == 458002400, 'result[3] = 54.5981...'); + assert((*result.at(5).mag).into() == 1244979584, 'result[3] = 148.4131...'); + assert((*result.at(6).mag).into() == 3384205312, 'result[3] = 403.4287...'); + assert((*result.at(7).mag).into() == 9199223808, 'result[3] = 1096.6331...'); + } +} + diff --git a/src/tests/operators/math/exp/exp_i32_test.cairo b/src/tests/operators/math/exp/exp_i32_test.cairo new file mode 100644 index 000000000..cabeee1d9 --- /dev/null +++ b/src/tests/operators/math/exp/exp_i32_test.cairo @@ -0,0 +1,79 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = i32_tensor_1x3_helper(); + let result = tensor.exp().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 178142, 'result[1] = 2.7182...'); + assert((*result.at(2).mag).into() == 484232, 'result[2] = 7.389...'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = i32_tensor_2x2_helper(); + let result = tensor.exp().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 178142, 'result[1] = 2.7182...'); + assert((*result.at(2).mag).into() == 484232, 'result[2] = 7.389...'); + assert((*result.at(3).mag).into() == 1316288, 'result[3] = 20.085...'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.exp().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 178142, 'result[1] = 2.7182...'); + assert((*result.at(2).mag).into() == 484232, 'result[2] = 7.389...'); + assert((*result.at(3).mag).into() == 1316288, 'result[3] = 20.085...'); + assert((*result.at(4).mag).into() == 3577984, 'result[3] = 54.5981...'); + assert((*result.at(5).mag).into() == 9726080, 'result[3] = 148.4131...'); + assert((*result.at(6).mag).into() == 26437888, 'result[3] = 403.4287...'); + assert((*result.at(7).mag).into() == 71866368, 'result[3] = 1096.6331...'); + } +} + diff --git a/src/tests/operators/math/exp/exp_u32_test.cairo b/src/tests/operators/math/exp/exp_u32_test.cairo new file mode 100644 index 000000000..cabeee1d9 --- /dev/null +++ b/src/tests/operators/math/exp/exp_u32_test.cairo @@ -0,0 +1,79 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = i32_tensor_1x3_helper(); + let result = tensor.exp().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 178142, 'result[1] = 2.7182...'); + assert((*result.at(2).mag).into() == 484232, 'result[2] = 7.389...'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = i32_tensor_2x2_helper(); + let result = tensor.exp().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 178142, 'result[1] = 2.7182...'); + assert((*result.at(2).mag).into() == 484232, 'result[2] = 7.389...'); + assert((*result.at(3).mag).into() == 1316288, 'result[3] = 20.085...'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.exp().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 178142, 'result[1] = 2.7182...'); + assert((*result.at(2).mag).into() == 484232, 'result[2] = 7.389...'); + assert((*result.at(3).mag).into() == 1316288, 'result[3] = 20.085...'); + assert((*result.at(4).mag).into() == 3577984, 'result[3] = 54.5981...'); + assert((*result.at(5).mag).into() == 9726080, 'result[3] = 148.4131...'); + assert((*result.at(6).mag).into() == 26437888, 'result[3] = 403.4287...'); + assert((*result.at(7).mag).into() == 71866368, 'result[3] = 1096.6331...'); + } +} + diff --git a/src/tests/operators/math/exp_test.cairo b/src/tests/operators/math/exp_test.cairo deleted file mode 100644 index 5952de07a..000000000 --- a/src/tests/operators/math/exp_test.cairo +++ /dev/null @@ -1,19 +0,0 @@ -use array::SpanTrait; -use traits::Into; - -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::operators::tensor::core::{TensorTrait, }; -use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; -use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; - -#[test] -#[available_gas(20000000)] -fn tensor_exp_test() { - let tensor = i32_tensor_2x2_helper(); - let result = tensor.exp().data; - - assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); - assert((*result.at(1).mag).into() == 178142, 'result[1] = 2.7182...'); - assert((*result.at(2).mag).into() == 484232, 'result[2] = 7.389...'); - assert((*result.at(3).mag).into() == 1316288, 'result[3] = 20.085...'); -} From 7b01f8478835b448ceecc2e7acf265032c66be4b Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 12:12:13 +0300 Subject: [PATCH 028/126] refactor tensor ln tests --- src/tests/operators/math.cairo | 2 +- src/tests/operators/math/ln.cairo | 3 + src/tests/operators/math/ln/ln_fp_test.cairo | 2 + .../math/ln/ln_fp_test/ln_fp16x16_test.cairo | 119 +++++++++++++++++ .../math/ln/ln_fp_test/ln_fp8x23_test.cairo | 120 ++++++++++++++++++ src/tests/operators/math/ln/ln_i32_test.cairo | 113 +++++++++++++++++ src/tests/operators/math/ln/ln_u32_test.cairo | 110 ++++++++++++++++ src/tests/operators/math/ln_test.cairo | 36 ------ 8 files changed, 468 insertions(+), 37 deletions(-) create mode 100644 src/tests/operators/math/ln.cairo create mode 100644 src/tests/operators/math/ln/ln_fp_test.cairo create mode 100644 src/tests/operators/math/ln/ln_fp_test/ln_fp16x16_test.cairo create mode 100644 src/tests/operators/math/ln/ln_fp_test/ln_fp8x23_test.cairo create mode 100644 src/tests/operators/math/ln/ln_i32_test.cairo create mode 100644 src/tests/operators/math/ln/ln_u32_test.cairo delete mode 100644 src/tests/operators/math/ln_test.cairo diff --git a/src/tests/operators/math.cairo b/src/tests/operators/math.cairo index cb5d99ec6..0fa0f68e6 100644 --- a/src/tests/operators/math.cairo +++ b/src/tests/operators/math.cairo @@ -11,4 +11,4 @@ mod less; mod less_equal; mod abs; mod ceil; -mod ln_test; +mod ln; diff --git a/src/tests/operators/math/ln.cairo b/src/tests/operators/math/ln.cairo new file mode 100644 index 000000000..a60cb374b --- /dev/null +++ b/src/tests/operators/math/ln.cairo @@ -0,0 +1,3 @@ +mod ln_u32_test; +mod ln_i32_test; +mod ln_fp_test; \ No newline at end of file diff --git a/src/tests/operators/math/ln/ln_fp_test.cairo b/src/tests/operators/math/ln/ln_fp_test.cairo new file mode 100644 index 000000000..628ffb6cf --- /dev/null +++ b/src/tests/operators/math/ln/ln_fp_test.cairo @@ -0,0 +1,2 @@ +mod ln_fp16x16_test; +mod ln_fp8x23_test; \ No newline at end of file diff --git a/src/tests/operators/math/ln/ln_fp_test/ln_fp16x16_test.cairo b/src/tests/operators/math/ln/ln_fp_test/ln_fp16x16_test.cairo new file mode 100644 index 000000000..c945b6cff --- /dev/null +++ b/src/tests/operators/math/ln/ln_fp_test/ln_fp16x16_test.cairo @@ -0,0 +1,119 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::numbers::fixed_point::{ + core::{FixedTrait, FixedType}, implementations::impl_16x16::FP16x16Impl + }; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_ln_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.ln().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 45355, 'result[1] = 0.69315'); + assert((*result.at(2).mag).into() == 71992, 'result[2] = 1.0986'); + assert((*result.at(3).mag).into() == 301793, 'result[3] = 4.60517'); + } +} + +// ===== 2D ===== // + +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::numbers::fixed_point::{ + core::{FixedTrait, FixedType}, implementations::impl_16x16::FP16x16Impl + }; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_ln_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.ln().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 45355, 'result[1] = 0.69315'); + assert((*result.at(2).mag).into() == 71992, 'result[2] = 1.0986'); + assert((*result.at(3).mag).into() == 301793, 'result[3] = 4.60517'); + } +} +// // ===== 3D ===== // + +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::numbers::fixed_point::{ + core::{FixedTrait, FixedType}, implementations::impl_16x16::FP16x16Impl + }; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_ln_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(100, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(100, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.ln().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 45355, 'result[1] = 0.69315'); + assert((*result.at(2).mag).into() == 71992, 'result[2] = 1.0986'); + assert((*result.at(3).mag).into() == 301793, 'result[3] = 4.60517'); + assert((*result.at(4).mag).into() == 71992, 'result[4] = 1.0986'); + assert((*result.at(5).mag).into() == 301793, 'result[5] = 4.60517'); + assert((*result.at(6).mag).into() == 71992, 'result[6] = 1.0986'); + assert((*result.at(7).mag).into() == 301793, 'result[7] = 4.60517'); + } +} + diff --git a/src/tests/operators/math/ln/ln_fp_test/ln_fp8x23_test.cairo b/src/tests/operators/math/ln/ln_fp_test/ln_fp8x23_test.cairo new file mode 100644 index 000000000..fed6f7438 --- /dev/null +++ b/src/tests/operators/math/ln/ln_fp_test/ln_fp8x23_test.cairo @@ -0,0 +1,120 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::numbers::fixed_point::{ + core::{FixedTrait, FixedType, FixedImpl}, implementations::impl_8x23::FP8x23Impl + }; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + use debug::PrintTrait; + #[test] + #[available_gas(20000000)] + fn tensor_ln_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = tensor.ln().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 5814556, 'result[1] = 0.69315'); + assert((*result.at(2).mag).into() == 9215831, 'result[2] = 1.0986'); + assert((*result.at(3).mag).into() == 38630976, 'result[3] = 4.60517'); + } +} + +// ===== 2D ===== // + +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::numbers::fixed_point::{ + core::{FixedTrait, FixedType, FixedImpl}, implementations::impl_8x23::FP8x23Impl + }; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_ln_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = tensor.ln().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 5814556, 'result[1] = 0.69315'); + assert((*result.at(2).mag).into() == 9215831, 'result[2] = 1.0986'); + assert((*result.at(3).mag).into() == 38630976, 'result[3] = 4.60517'); + } +} +// // ===== 3D ===== // + +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::numbers::fixed_point::{ + core::{FixedTrait, FixedType, FixedImpl}, implementations::impl_8x23::FP8x23Impl + }; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_ln_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(1, false)); + data.append(FixedTrait::new_unscaled(2, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(100, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(100, false)); + data.append(FixedTrait::new_unscaled(3, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = tensor.ln().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 5814556, 'result[1] = 0.69315'); + assert((*result.at(2).mag).into() == 9215831, 'result[2] = 1.0986'); + assert((*result.at(3).mag).into() == 38630976, 'result[3] = 4.60517'); + assert((*result.at(4).mag).into() == 9215831, 'result[4] = 1.0986'); + assert((*result.at(5).mag).into() == 38630976, 'result[5] = 4.60517'); + assert((*result.at(6).mag).into() == 9215831, 'result[6] = 1.0986'); + assert((*result.at(7).mag).into() == 38630976, 'result[7] = 4.60517'); + } +} + diff --git a/src/tests/operators/math/ln/ln_i32_test.cairo b/src/tests/operators/math/ln/ln_i32_test.cairo new file mode 100644 index 000000000..d8e65b020 --- /dev/null +++ b/src/tests/operators/math/ln/ln_i32_test.cairo @@ -0,0 +1,113 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_ln_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + data.append(IntegerTrait::new(100, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.ln().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 45355, 'result[1] = 0.69315'); + assert((*result.at(2).mag).into() == 71992, 'result[2] = 1.0986'); + assert((*result.at(3).mag).into() == 301793, 'result[3] = 4.60517'); + } +} + +// ===== 2D ===== // + +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_ln_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + data.append(IntegerTrait::new(100, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.ln().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 45355, 'result[1] = 0.69315'); + assert((*result.at(2).mag).into() == 71992, 'result[2] = 1.0986'); + assert((*result.at(3).mag).into() == 301793, 'result[3] = 4.60517'); + } +} +// // ===== 3D ===== // + +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_ln_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + data.append(IntegerTrait::new(100, false)); + data.append(IntegerTrait::new(3, false)); + data.append(IntegerTrait::new(100, false)); + data.append(IntegerTrait::new(3, false)); + data.append(IntegerTrait::new(100, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.ln().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 45355, 'result[1] = 0.69315'); + assert((*result.at(2).mag).into() == 71992, 'result[2] = 1.0986'); + assert((*result.at(3).mag).into() == 301793, 'result[3] = 4.60517'); + assert((*result.at(4).mag).into() == 71992, 'result[4] = 1.0986'); + assert((*result.at(5).mag).into() == 301793, 'result[5] = 4.60517'); + assert((*result.at(6).mag).into() == 71992, 'result[6] = 1.0986'); + assert((*result.at(7).mag).into() == 301793, 'result[7] = 4.60517'); + } +} + diff --git a/src/tests/operators/math/ln/ln_u32_test.cairo b/src/tests/operators/math/ln/ln_u32_test.cairo new file mode 100644 index 000000000..5b57d6ac8 --- /dev/null +++ b/src/tests/operators/math/ln/ln_u32_test.cairo @@ -0,0 +1,110 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_ln_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + + let mut data = ArrayTrait::new(); + data.append(1); + data.append(2); + data.append(3); + data.append(100); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.ln().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 45355, 'result[1] = 0.69315'); + assert((*result.at(2).mag).into() == 71992, 'result[2] = 1.0986'); + assert((*result.at(3).mag).into() == 301793, 'result[3] = 4.60517'); + } +} + +// ===== 2D ===== // + +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_ln_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(1); + data.append(2); + data.append(3); + data.append(100); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.ln().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 45355, 'result[1] = 0.69315'); + assert((*result.at(2).mag).into() == 71992, 'result[2] = 1.0986'); + assert((*result.at(3).mag).into() == 301793, 'result[3] = 4.60517'); + } +} +// // ===== 3D ===== // + +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_ln_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(1); + data.append(2); + data.append(3); + data.append(100); + data.append(3); + data.append(100); + data.append(3); + data.append(100); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.ln().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 45355, 'result[1] = 0.69315'); + assert((*result.at(2).mag).into() == 71992, 'result[2] = 1.0986'); + assert((*result.at(3).mag).into() == 301793, 'result[3] = 4.60517'); + assert((*result.at(4).mag).into() == 71992, 'result[4] = 1.0986'); + assert((*result.at(5).mag).into() == 301793, 'result[5] = 4.60517'); + assert((*result.at(6).mag).into() == 71992, 'result[6] = 1.0986'); + assert((*result.at(7).mag).into() == 301793, 'result[7] = 4.60517'); + } +} + diff --git a/src/tests/operators/math/ln_test.cairo b/src/tests/operators/math/ln_test.cairo deleted file mode 100644 index fcd34d77b..000000000 --- a/src/tests/operators/math/ln_test.cairo +++ /dev/null @@ -1,36 +0,0 @@ -use array::SpanTrait; -use traits::Into; -use array::ArrayTrait; - -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; - -use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; -use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; - -#[test] -#[available_gas(20000000)] -fn ln_test() { - let mut sizes = ArrayTrait::new(); - sizes.append(4); - - let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(1, false)); - data.append(IntegerTrait::new(2, false)); - data.append(IntegerTrait::new(3, false)); - data.append(IntegerTrait::new(100, false)); - let extra = Option::::None(()); - - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); - - - let result = tensor.ln().data; - - assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); - assert((*result.at(1).mag).into() == 45355, 'result[1] = 0.69315'); - assert((*result.at(2).mag).into() == 71992, 'result[2] = 1.0986'); - assert((*result.at(3).mag).into() == 301793, 'result[3] = 4.60517'); -} - - From a9fe76235ab4e95bd15fe190efbd3b4f98d8d743 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 12:25:40 +0300 Subject: [PATCH 029/126] fix extra param in tensor fp8x23 --- .../argmax_fp_test/argmax_fp8x23_test.cairo | 30 ++--- .../argmin_fp_test/argmin_fp8x23_test.cairo | 110 ++++++++---------- .../equal_fp_test/equal_fp8x23_test.cairo | 56 ++++++--- .../greater_fp_test/greater_fp8x23_test.cairo | 36 +++--- .../greater_equal_fp8x23_test.cairo | 56 ++++++--- .../less/less_fp_test/less_fp8x23_test.cairo | 36 +++--- .../less_equal_fp8x23_test.cairo | 56 ++++++--- 7 files changed, 211 insertions(+), 169 deletions(-) diff --git a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo index d6b40125e..020727d37 100644 --- a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo +++ b/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo @@ -2,7 +2,7 @@ #[cfg(test)] mod tensor_1D { use array::{ArrayTrait,SpanTrait}; - use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -23,9 +23,9 @@ mod tensor_1D { data.append(FixedTrait::new(0, false)); data.append(FixedTrait::new(1, false)); data.append(FixedTrait::new(2, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmax(0,Option::None(()),Option::None(())); assert(*result.data.at(0) == 2, 'result[0] = 2'); @@ -37,9 +37,9 @@ mod tensor_1D { data.append(FixedTrait::new(0, false)); data.append(FixedTrait::new(1, false)); data.append(FixedTrait::new(2, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmax(0,Option::None(()),Option::None(())); assert(*result.data.at(0) == 1, 'result[0] = 1'); @@ -65,9 +65,9 @@ mod tensor_1D { data.append(FixedTrait::new(0, false)); data.append(FixedTrait::new(1, false)); data.append(FixedTrait::new(2, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmax(0,Option::Some(false),Option::None(())); assert(*result.data.at(0) == 1, 'result[0] = 1'); @@ -90,9 +90,9 @@ mod tensor_1D { data.append(FixedTrait::new(1, true)); data.append(FixedTrait::new(1, true)); data.append(FixedTrait::new(1, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmax(0,Option::None(()),Option::Some(false)); assert(*result.data.at(0) == 0, 'result[0] = 0'); @@ -113,7 +113,7 @@ mod tensor_1D { #[cfg(test)] mod tensor_2D { use array::{ArrayTrait,SpanTrait}; - use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -179,8 +179,8 @@ mod tensor_2D { data.append(FixedTrait::new(1, false)); data.append(FixedTrait::new(1, false)); data.append(FixedTrait::new(1, false)); - let extra = Option::::None(()); - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmax(1,Option::None(()),Option::Some(false)); assert(*result.data.at(0) == 0, 'result[0] = 0'); @@ -203,7 +203,7 @@ mod tensor_2D { #[cfg(test)] mod tensor_3D { use array::{ArrayTrait,SpanTrait}; - use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -291,8 +291,8 @@ mod tensor_3D { data.append(FixedTrait::new(1, false)); data.append(FixedTrait::new(1, false)); - let extra = Option::::None(()); - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmax(0,Option::None(()),Option::Some(false)); assert(*result.data.at(0) == 0, 'result[0] = 0'); assert(*result.data.at(1) == 0, 'result[1] = 0'); diff --git a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo index da5c1ad26..8f8e7c4bf 100644 --- a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo +++ b/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo @@ -1,8 +1,7 @@ - #[cfg(test)] mod tensor_1D { - use array::{ArrayTrait,SpanTrait}; - use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use array::{ArrayTrait, SpanTrait}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; @@ -10,7 +9,6 @@ mod tensor_1D { #[test] #[available_gas(20000000)] fn default_parameters() { - //////////////////////////////////////////// // case: default parameters //////////////////////////////////////////// @@ -22,29 +20,27 @@ mod tensor_1D { data.append(FixedTrait::new(0, false)); data.append(FixedTrait::new(1, false)); data.append(FixedTrait::new(2, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); - - let result = tensor.argmin(0,Option::None(()),Option::None(())); + let result = tensor.argmin(0, Option::None(()), Option::None(())); assert(*result.data.at(0) == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); - let mut data = ArrayTrait::new(); data.append(FixedTrait::new(0, false)); data.append(FixedTrait::new(1, false)); data.append(FixedTrait::new(2, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); - - let result = tensor.argmin(0,Option::None(()),Option::None(())); + let result = tensor.argmin(0, Option::None(()), Option::None(())); assert(*result.data.at(0) == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); - } #[test] @@ -64,11 +60,11 @@ mod tensor_1D { data.append(FixedTrait::new(0, false)); data.append(FixedTrait::new(1, false)); data.append(FixedTrait::new(2, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); - - let result = tensor.argmin(0,Option::Some(false),Option::None(())); + let result = tensor.argmin(0, Option::Some(false), Option::None(())); assert(*result.data.at(0) == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -77,7 +73,6 @@ mod tensor_1D { #[test] #[available_gas(20000000)] fn select_last_index() { - //////////////////////////////////////////// // case: select_last_index == false //////////////////////////////////////////// @@ -89,11 +84,11 @@ mod tensor_1D { data.append(FixedTrait::new(1, true)); data.append(FixedTrait::new(1, true)); data.append(FixedTrait::new(1, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); - - let result = tensor.argmin(0,Option::None(()),Option::Some(false)); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = tensor.argmin(0, Option::None(()), Option::Some(false)); assert(*result.data.at(0) == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -102,16 +97,15 @@ mod tensor_1D { // case: select_last_index == true //////////////////////////////////////////// - let mut data = ArrayTrait::new(); data.append(FixedTrait::new(1, true)); data.append(FixedTrait::new(1, true)); data.append(FixedTrait::new(1, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); - let result = tensor.argmin(0,Option::None(()),Option::Some(true)); + let result = tensor.argmin(0, Option::None(()), Option::Some(true)); assert(*result.data.at(0) == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -120,13 +114,13 @@ mod tensor_1D { #[cfg(test)] mod tensor_2D { - use array::{ArrayTrait,SpanTrait}; - use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use array::{ArrayTrait, SpanTrait}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::helpers::tensor::fixed_point::fp8x23::{ - fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper + fp_tensor_1x3_helper, fp_tensor_2x2_helper, fp_tensor_2x2x2_helper }; #[test] @@ -138,43 +132,37 @@ mod tensor_2D { let tensor = fp_tensor_2x2_helper(); - let result = tensor.argmin(0,Option::None(()),Option::None(())); + let result = tensor.argmin(0, Option::None(()), Option::None(())); assert(*result.data.at(0) == 0, 'result[0] = 0'); assert(*result.data.at(1) == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); - - let result = tensor.argmin(1,Option::None(()),Option::None(())); + let result = tensor.argmin(1, Option::None(()), Option::None(())); assert(*result.data.at(0) == 0, 'result[0] = 0'); assert(*result.data.at(1) == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); - - } #[test] #[available_gas(20000000)] fn keepdims() { - //////////////////////////////////////////// // case: keepdims == false //////////////////////////////////////////// let tensor = fp_tensor_2x2_helper(); - let result = tensor.argmin(1,Option::Some(false),Option::None(())); + let result = tensor.argmin(1, Option::Some(false), Option::None(())); assert(*result.data.at(0) == 0, 'result[0] = 0'); assert(*result.data.at(1) == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); - } #[test] #[available_gas(20000000)] fn select_last_index() { - //////////////////////////////////////////// // case: select_last_index == false //////////////////////////////////////////// @@ -187,10 +175,10 @@ mod tensor_2D { data.append(FixedTrait::new(1, false)); data.append(FixedTrait::new(1, false)); data.append(FixedTrait::new(1, false)); - let extra = Option::::None(()); - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); - let result = tensor.argmin(1,Option::None(()),Option::Some(false)); + let result = tensor.argmin(1, Option::None(()), Option::Some(false)); assert(*result.data.at(0) == 0, 'result[0] = 0'); assert(*result.data.at(1) == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); @@ -208,10 +196,10 @@ mod tensor_2D { data.append(FixedTrait::new(1, false)); data.append(FixedTrait::new(1, false)); data.append(FixedTrait::new(1, false)); - let extra = Option::::None(()); - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); - let result = tensor.argmin(1,Option::None(()),Option::Some(true)); + let result = tensor.argmin(1, Option::None(()), Option::Some(true)); assert(*result.data.at(0) == 1, 'result[0] = 1'); assert(*result.data.at(1) == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); @@ -221,13 +209,13 @@ mod tensor_2D { #[cfg(test)] mod tensor_3D { - use array::{ArrayTrait,SpanTrait}; - use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use array::{ArrayTrait, SpanTrait}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; use orion::tests::helpers::tensor::fixed_point::fp8x23::{ - fp_tensor_1x3_helper,fp_tensor_2x2_helper, fp_tensor_2x2x2_helper + fp_tensor_1x3_helper, fp_tensor_2x2_helper, fp_tensor_2x2x2_helper }; #[test] @@ -238,7 +226,7 @@ mod tensor_3D { //////////////////////////////////////////// let tensor = fp_tensor_2x2x2_helper(); - let result = tensor.argmin(0,Option::None(()),Option::None(())); + let result = tensor.argmin(0, Option::None(()), Option::None(())); assert(*result.data.at(0) == 0, 'result[0] = 0'); assert(*result.data.at(1) == 0, 'result[1] = 0'); @@ -247,8 +235,7 @@ mod tensor_3D { assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); - - let result = tensor.argmin(1,Option::None(()),Option::None(())); + let result = tensor.argmin(1, Option::None(()), Option::None(())); assert(*result.data.at(0) == 0, 'result[0] = 0'); assert(*result.data.at(1) == 0, 'result[1] = 0'); @@ -257,8 +244,7 @@ mod tensor_3D { assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); - - let result = tensor.argmin(2,Option::None(()),Option::None(())); + let result = tensor.argmin(2, Option::None(()), Option::None(())); assert(*result.data.at(0) == 0, 'result[0] = 0'); assert(*result.data.at(1) == 0, 'result[1] = 0'); @@ -272,13 +258,12 @@ mod tensor_3D { #[test] #[available_gas(20000000)] fn keepdims() { - //////////////////////////////////////////// // case: keepdims == false //////////////////////////////////////////// let tensor = fp_tensor_2x2x2_helper(); - let result = tensor.argmin(0,Option::Some(false),Option::None(())); + let result = tensor.argmin(0, Option::Some(false), Option::None(())); assert(*result.data.at(0) == 0, 'result[0] = 0'); assert(*result.data.at(1) == 0, 'result[1] = 0'); assert(*result.data.at(2) == 0, 'result[2] = 0'); @@ -290,7 +275,6 @@ mod tensor_3D { #[test] #[available_gas(20000000)] fn select_last_index() { - //////////////////////////////////////////// // case: select_last_index == false //////////////////////////////////////////// @@ -309,9 +293,9 @@ mod tensor_3D { data.append(FixedTrait::new(1, false)); data.append(FixedTrait::new(1, false)); - let extra = Option::::None(()); - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); - let result = tensor.argmin(0,Option::None(()),Option::Some(false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + let result = tensor.argmin(0, Option::None(()), Option::Some(false)); assert(*result.data.at(0) == 0, 'result[0] = 0'); assert(*result.data.at(1) == 0, 'result[1] = 0'); assert(*result.data.at(2) == 0, 'result[2] = 0'); @@ -319,15 +303,13 @@ mod tensor_3D { assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); - //////////////////////////////////////////// // case: select_last_index == true //////////////////////////////////////////// - - let extra = Option::::None(()); - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); - let result = tensor.argmin(0,Option::None(()),Option::Some(true)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + let result = tensor.argmin(0, Option::None(()), Option::Some(true)); assert(*result.data.at(0) == 1, 'result[0] = 1'); assert(*result.data.at(1) == 1, 'result[1] = 1'); assert(*result.data.at(2) == 1, 'result[2] = 1'); diff --git a/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo b/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo index 79ea79852..a824347c7 100644 --- a/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo +++ b/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo @@ -7,7 +7,7 @@ mod tensor_1D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; #[test] @@ -26,10 +26,14 @@ mod tensor_1D { arr_2.append(FixedTrait::new_unscaled(11, false)); arr_2.append(FixedTrait::new_unscaled(2, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes.span(), arr_2.span(), Option::Some(extra) + ); let result = tensor_a.eq(@tensor_b); assert(*result.data.at(0) == 0, 'result[0] = 0'); @@ -50,7 +54,7 @@ mod tensor_2D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; @@ -83,10 +87,14 @@ mod tensor_2D { arr_2.append(FixedTrait::new_unscaled(17, false)); arr_2.append(FixedTrait::new_unscaled(18, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes.span(), arr_2.span(), Option::Some(extra) + ); let result = tensor_a.eq(@tensor_b); assert(*result.data.at(0) == 0, 'result[0] = 0'); @@ -132,10 +140,14 @@ mod tensor_2D { arr_2.append(FixedTrait::new_unscaled(1, false)); arr_2.append(FixedTrait::new_unscaled(2, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes_1.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes_2.span(), arr_2.span(), Option::Some(extra) + ); let result_a = tensor_b.eq(@tensor_a); assert(*result_a.data.at(0) == 1, 'result[0] = 1'); @@ -178,7 +190,7 @@ mod tensor_3D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; #[test] @@ -209,10 +221,14 @@ mod tensor_3D { arr_2.append(FixedTrait::new_unscaled(16, false)); arr_2.append(FixedTrait::new_unscaled(17, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes.span(), arr_2.span(), Option::Some(extra) + ); let result = tensor_a.eq(@tensor_b); assert(*result.data.at(0) == 0, 'result[0] = 0'); @@ -254,10 +270,14 @@ mod tensor_3D { arr_2.append(FixedTrait::new_unscaled(0, false)); arr_2.append(FixedTrait::new_unscaled(1, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes_1.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes_2.span(), arr_2.span(), Option::Some(extra) + ); let result_a = tensor_b.eq(@tensor_a); assert(*result_a.data.at(0) == 1, 'result[0] = 1'); diff --git a/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo b/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo index 413f7c24b..4cdead3dd 100644 --- a/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo +++ b/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo @@ -7,7 +7,7 @@ mod tensor_1D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; #[test] @@ -26,10 +26,10 @@ mod tensor_1D { arr_2.append(FixedTrait::new_unscaled(11, false)); arr_2.append(FixedTrait::new_unscaled(2, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), Option::Some(extra)); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_a.greater(@tensor_b); assert(*result_a.data.at(0) == 0, 'result[0] = 0'); @@ -50,7 +50,7 @@ mod tensor_2D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; #[test] @@ -82,10 +82,10 @@ mod tensor_2D { arr_2.append(FixedTrait::new_unscaled(17, false)); arr_2.append(FixedTrait::new_unscaled(18, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), Option::Some(extra)); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_a.greater(@tensor_b); assert(*result_a.data.at(0) == 0, 'result[0] = 0'); @@ -144,10 +144,10 @@ mod tensor_2D { arr_2.append(FixedTrait::new_unscaled(1, false)); arr_2.append(FixedTrait::new_unscaled(2, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), Option::Some(extra)); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_b.greater(@tensor_a); assert(*result_a.data.at(0) == 0, 'result[0] = 0'); @@ -193,7 +193,7 @@ mod tensor_3D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; #[test] @@ -224,10 +224,10 @@ mod tensor_3D { arr_2.append(FixedTrait::new_unscaled(16, false)); arr_2.append(FixedTrait::new_unscaled(17, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), Option::Some(extra)); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_a.greater(@tensor_b); assert(*result_a.data.at(0) == 0, 'result[0] = 0'); @@ -281,10 +281,10 @@ mod tensor_3D { arr_2.append(FixedTrait::new_unscaled(0, false)); arr_2.append(FixedTrait::new_unscaled(1, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), Option::Some(extra)); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_b.greater(@tensor_a); assert(*result_a.data.at(0) == 0, 'result[0] = 0'); diff --git a/src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo b/src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo index ee0588820..f51426d7f 100644 --- a/src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo +++ b/src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo @@ -7,7 +7,7 @@ mod tensor_1D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::numbers::fixed_point::{ - core::{FixedTrait, FixedType}, implementations::impl_8x23::FP8x23Impl + core::{FixedTrait, FixedType, FixedImpl}, implementations::impl_8x23::FP8x23Impl }; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; @@ -27,10 +27,14 @@ mod tensor_1D { arr_2.append(FixedTrait::new_unscaled(11, false)); arr_2.append(FixedTrait::new_unscaled(2, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes.span(), arr_2.span(), Option::Some(extra) + ); let result_a = tensor_a.greater_equal(@tensor_b); assert(*result_a.data.at(0) == 0, 'result[0] = 0'); @@ -51,7 +55,7 @@ mod tensor_2D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::numbers::fixed_point::{ - core::{FixedTrait, FixedType}, implementations::impl_8x23::FP8x23Impl + core::{FixedTrait, FixedType, FixedImpl}, implementations::impl_8x23::FP8x23Impl }; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; @@ -85,10 +89,14 @@ mod tensor_2D { arr_2.append(FixedTrait::new_unscaled(17, false)); arr_2.append(FixedTrait::new_unscaled(18, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes.span(), arr_2.span(), Option::Some(extra) + ); let result_a = tensor_a.greater_equal(@tensor_b); assert(*result_a.data.at(0) == 0, 'result[0] = 0'); @@ -147,10 +155,14 @@ mod tensor_2D { arr_2.append(FixedTrait::new_unscaled(1, false)); arr_2.append(FixedTrait::new_unscaled(2, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes_1.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes_2.span(), arr_2.span(), Option::Some(extra) + ); let result_a = tensor_b.greater_equal(@tensor_a); assert(*result_a.data.at(0) == 1, 'result[0] = 1'); @@ -196,7 +208,7 @@ mod tensor_3D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::numbers::fixed_point::{ - core::{FixedTrait, FixedType}, implementations::impl_8x23::FP8x23Impl + core::{FixedTrait, FixedType, FixedImpl}, implementations::impl_8x23::FP8x23Impl }; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; @@ -228,10 +240,14 @@ mod tensor_3D { arr_2.append(FixedTrait::new_unscaled(16, false)); arr_2.append(FixedTrait::new_unscaled(17, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes.span(), arr_2.span(), Option::Some(extra) + ); let result_a = tensor_a.greater_equal(@tensor_b); assert(*result_a.data.at(0) == 0, 'result[0] = 0'); @@ -285,10 +301,14 @@ mod tensor_3D { arr_2.append(FixedTrait::new_unscaled(0, false)); arr_2.append(FixedTrait::new_unscaled(1, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes_1.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes_2.span(), arr_2.span(), Option::Some(extra) + ); let result_a = tensor_b.greater_equal(@tensor_a); assert(*result_a.data.at(0) == 1, 'result[0] = 1'); diff --git a/src/tests/operators/math/less/less_fp_test/less_fp8x23_test.cairo b/src/tests/operators/math/less/less_fp_test/less_fp8x23_test.cairo index acbaff4b9..9efe3284e 100644 --- a/src/tests/operators/math/less/less_fp_test/less_fp8x23_test.cairo +++ b/src/tests/operators/math/less/less_fp_test/less_fp8x23_test.cairo @@ -7,7 +7,7 @@ mod tensor_1D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; #[test] @@ -26,10 +26,10 @@ mod tensor_1D { arr_2.append(FixedTrait::new_unscaled(11, false)); arr_2.append(FixedTrait::new_unscaled(2, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), Option::Some(extra)); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_a.less(@tensor_b); assert(*result_a.data.at(0) == 1, 'result[0] = 1'); @@ -49,7 +49,7 @@ mod tensor_2D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; @@ -82,10 +82,10 @@ mod tensor_2D { arr_2.append(FixedTrait::new_unscaled(17, false)); arr_2.append(FixedTrait::new_unscaled(18, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), Option::Some(extra)); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_a.less(@tensor_b); assert(*result_a.data.at(0) == 1, 'result[0] = 1'); @@ -144,10 +144,10 @@ mod tensor_2D { arr_2.append(FixedTrait::new_unscaled(1, false)); arr_2.append(FixedTrait::new_unscaled(2, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), Option::Some(extra)); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_b.less(@tensor_a); assert(*result_a.data.at(0) == 0, 'result[0] = 0'); @@ -192,7 +192,7 @@ mod tensor_3D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; @@ -224,10 +224,10 @@ mod tensor_3D { arr_2.append(FixedTrait::new_unscaled(16, false)); arr_2.append(FixedTrait::new_unscaled(17, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), Option::Some(extra)); + let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_a.less(@tensor_b); assert(*result_a.data.at(0) == 1, 'result[0] = 1'); @@ -281,10 +281,10 @@ mod tensor_3D { arr_2.append(FixedTrait::new_unscaled(0, false)); arr_2.append(FixedTrait::new_unscaled(1, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), Option::Some(extra)); + let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_b.less(@tensor_a); assert(*result_a.data.at(0) == 0, 'result[0] = 0'); diff --git a/src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo b/src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo index c9456396a..b4b8ff3f5 100644 --- a/src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo +++ b/src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo @@ -7,7 +7,7 @@ mod tensor_1D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; #[test] @@ -26,10 +26,14 @@ mod tensor_1D { arr_2.append(FixedTrait::new_unscaled(11, false)); arr_2.append(FixedTrait::new_unscaled(2, true)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes.span(), arr_2.span(), Option::Some(extra) + ); let result_a = tensor_a.less_equal(@tensor_b); assert(*result_a.data.at(0) == 1, 'result[0] = 1'); @@ -50,7 +54,7 @@ mod tensor_2D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; @@ -83,10 +87,14 @@ mod tensor_2D { arr_2.append(FixedTrait::new_unscaled(17, false)); arr_2.append(FixedTrait::new_unscaled(18, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes.span(), arr_2.span(), Option::Some(extra) + ); let result_a = tensor_a.less_equal(@tensor_b); assert(*result_a.data.at(0) == 1, 'result[0] = 1'); @@ -145,10 +153,14 @@ mod tensor_2D { arr_2.append(FixedTrait::new_unscaled(1, false)); arr_2.append(FixedTrait::new_unscaled(2, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes_1.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes_2.span(), arr_2.span(), Option::Some(extra) + ); let result_a = tensor_b.less_equal(@tensor_a); assert(*result_a.data.at(0) == 1, 'result[0] = 1'); @@ -194,7 +206,7 @@ mod tensor_3D { use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; use orion::operators::tensor::core::{TensorTrait, ExtraParams}; - use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; #[test] @@ -225,10 +237,14 @@ mod tensor_3D { arr_2.append(FixedTrait::new_unscaled(16, false)); arr_2.append(FixedTrait::new_unscaled(17, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes.span(), arr_2.span(), Option::Some(extra) + ); let result_a = tensor_a.less_equal(@tensor_b); assert(*result_a.data.at(0) == 1, 'result[0] = 1'); @@ -282,10 +298,14 @@ mod tensor_3D { arr_2.append(FixedTrait::new_unscaled(0, false)); arr_2.append(FixedTrait::new_unscaled(1, false)); - let extra = Option::::None(()); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor_a = TensorTrait::::new(sizes_1.span(), arr_1.span(), extra); - let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); + let tensor_a = TensorTrait::::new( + sizes_1.span(), arr_1.span(), Option::Some(extra) + ); + let tensor_b = TensorTrait::::new( + sizes_2.span(), arr_2.span(), Option::Some(extra) + ); let result_a = tensor_b.less_equal(@tensor_a); assert(*result_a.data.at(0) == 1, 'result[0] = 1'); From b546fb79fa24c8162aa41ca8f173b6727f205adb Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 12:38:32 +0300 Subject: [PATCH 030/126] refactor tensor max tests --- src/tests/operators/math.cairo | 2 +- src/tests/operators/math/max.cairo | 3 + .../operators/math/max/max_fp_test.cairo | 2 + .../max/max_fp_test/max_fp16x16_test.cairo | 62 +++++++++++++++++++ .../max/max_fp_test/max_fp8x23_test.cairo | 62 +++++++++++++++++++ .../operators/math/max/max_i32_test.cairo | 54 ++++++++++++++++ .../operators/math/max/max_u32_test.cairo | 54 ++++++++++++++++ src/tests/operators/math/max_test.cairo | 12 ---- 8 files changed, 238 insertions(+), 13 deletions(-) create mode 100644 src/tests/operators/math/max.cairo create mode 100644 src/tests/operators/math/max/max_fp_test.cairo create mode 100644 src/tests/operators/math/max/max_fp_test/max_fp16x16_test.cairo create mode 100644 src/tests/operators/math/max/max_fp_test/max_fp8x23_test.cairo create mode 100644 src/tests/operators/math/max/max_i32_test.cairo create mode 100644 src/tests/operators/math/max/max_u32_test.cairo delete mode 100644 src/tests/operators/math/max_test.cairo diff --git a/src/tests/operators/math.cairo b/src/tests/operators/math.cairo index 0fa0f68e6..15bc3297d 100644 --- a/src/tests/operators/math.cairo +++ b/src/tests/operators/math.cairo @@ -1,6 +1,6 @@ mod argmax; mod argmin; -mod max_test; +mod max; mod min_test; mod reduce_sum_test; mod exp; diff --git a/src/tests/operators/math/max.cairo b/src/tests/operators/math/max.cairo new file mode 100644 index 000000000..6dbfabe36 --- /dev/null +++ b/src/tests/operators/math/max.cairo @@ -0,0 +1,3 @@ +mod max_u32_test; +mod max_i32_test; +mod max_fp_test; \ No newline at end of file diff --git a/src/tests/operators/math/max/max_fp_test.cairo b/src/tests/operators/math/max/max_fp_test.cairo new file mode 100644 index 000000000..e5ef96043 --- /dev/null +++ b/src/tests/operators/math/max/max_fp_test.cairo @@ -0,0 +1,2 @@ +mod max_fp8x23_test; +mod max_fp16x16_test; \ No newline at end of file diff --git a/src/tests/operators/math/max/max_fp_test/max_fp16x16_test.cairo b/src/tests/operators/math/max/max_fp_test/max_fp16x16_test.cairo new file mode 100644 index 000000000..0a95a8e22 --- /dev/null +++ b/src/tests/operators/math/max/max_fp_test/max_fp16x16_test.cairo @@ -0,0 +1,62 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + use orion::numbers::fixed_point::core::{FixedTrait}; + + #[test] + #[available_gas(2000000)] + fn tensor_max() { + let tensor = fp_tensor_1x3_helper(); + + let result = tensor.max().mag; + assert(result == FixedTrait::new_unscaled(2, false).mag, 'tensor.max = 2'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + use orion::numbers::fixed_point::core::{FixedTrait}; + + + #[test] + #[available_gas(2000000)] + fn tensor_max() { + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.max().mag; + assert(result == FixedTrait::new_unscaled(3, false).mag, 'tensor.max = 3'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + use orion::numbers::fixed_point::core::{FixedTrait}; + + + #[test] + #[available_gas(2000000)] + fn tensor_max() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.max().mag; + assert(result == FixedTrait::new_unscaled(7, false).mag, 'tensor.max = 7'); + } +} + diff --git a/src/tests/operators/math/max/max_fp_test/max_fp8x23_test.cairo b/src/tests/operators/math/max/max_fp_test/max_fp8x23_test.cairo new file mode 100644 index 000000000..7fc0f2550 --- /dev/null +++ b/src/tests/operators/math/max/max_fp_test/max_fp8x23_test.cairo @@ -0,0 +1,62 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + use orion::numbers::fixed_point::core::{FixedTrait}; + + #[test] + #[available_gas(2000000)] + fn tensor_max() { + let tensor = fp_tensor_1x3_helper(); + + let result = tensor.max().mag; + assert(result == FixedTrait::new_unscaled(2, false).mag, 'tensor.max = 2'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + use orion::numbers::fixed_point::core::{FixedTrait}; + + + #[test] + #[available_gas(2000000)] + fn tensor_max() { + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.max().mag; + assert(result == FixedTrait::new_unscaled(3, false).mag, 'tensor.max = 3'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + use orion::numbers::fixed_point::core::{FixedTrait}; + + + #[test] + #[available_gas(2000000)] + fn tensor_max() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.max().mag; + assert(result == FixedTrait::new_unscaled(7, false).mag, 'tensor.max = 7'); + } +} + diff --git a/src/tests/operators/math/max/max_i32_test.cairo b/src/tests/operators/math/max/max_i32_test.cairo new file mode 100644 index 000000000..9d714d4c4 --- /dev/null +++ b/src/tests/operators/math/max/max_i32_test.cairo @@ -0,0 +1,54 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + + #[test] + #[available_gas(2000000)] + fn tensor_max() { + let tensor = i32_tensor_1x3_helper(); + + let result = tensor.max().mag; + assert(result == 2, 'tensor.max = 2'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + + #[test] + #[available_gas(2000000)] + fn tensor_max() { + let tensor = i32_tensor_2x2_helper(); + + let result = tensor.max().mag; + assert(result == 3, 'tensor.max = 3'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + + #[test] + #[available_gas(2000000)] + fn tensor_max() { + let tensor = i32_tensor_2x2x2_helper(); + + let result = tensor.max().mag; + assert(result == 7, 'tensor.max = 7'); + } +} + diff --git a/src/tests/operators/math/max/max_u32_test.cairo b/src/tests/operators/math/max/max_u32_test.cairo new file mode 100644 index 000000000..292b0773e --- /dev/null +++ b/src/tests/operators/math/max/max_u32_test.cairo @@ -0,0 +1,54 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + + #[test] + #[available_gas(2000000)] + fn tensor_max() { + let tensor = u32_tensor_1x3_helper(); + + let result = tensor.max(); + assert(result == 2, 'tensor.max = 2'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + + #[test] + #[available_gas(2000000)] + fn tensor_max() { + let tensor = u32_tensor_2x2_helper(); + + let result = tensor.max(); + assert(result == 3, 'tensor.max = 3'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + + #[test] + #[available_gas(2000000)] + fn tensor_max() { + let tensor = u32_tensor_2x2x2_helper(); + + let result = tensor.max(); + assert(result == 7, 'tensor.max = 7'); + } +} + diff --git a/src/tests/operators/math/max_test.cairo b/src/tests/operators/math/max_test.cairo deleted file mode 100644 index d277ad9fd..000000000 --- a/src/tests/operators/math/max_test.cairo +++ /dev/null @@ -1,12 +0,0 @@ -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::operators::tensor::core::TensorTrait; -use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; - -#[test] -#[available_gas(2000000)] -fn max_tensor() { - let tensor = i32_tensor_2x2x2_helper(); - - let result = tensor.max().mag; - assert(result == 7, 'tensor.max = 7'); -} From 964bf187fce137786430e63afa251c42f88e2aa8 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 12:42:51 +0300 Subject: [PATCH 031/126] refactor tensor min tests --- src/tests/operators/math.cairo | 2 +- src/tests/operators/math/min.cairo | 3 + .../operators/math/min/min_fp_test.cairo | 2 + .../min/min_fp_test/min_fp16x16_test.cairo | 62 +++++++++++++++++++ .../min/min_fp_test/min_fp8x23_test.cairo | 62 +++++++++++++++++++ .../operators/math/min/min_i32_test.cairo | 54 ++++++++++++++++ .../operators/math/min/min_u32_test.cairo | 54 ++++++++++++++++ src/tests/operators/math/min_test.cairo | 12 ---- 8 files changed, 238 insertions(+), 13 deletions(-) create mode 100644 src/tests/operators/math/min.cairo create mode 100644 src/tests/operators/math/min/min_fp_test.cairo create mode 100644 src/tests/operators/math/min/min_fp_test/min_fp16x16_test.cairo create mode 100644 src/tests/operators/math/min/min_fp_test/min_fp8x23_test.cairo create mode 100644 src/tests/operators/math/min/min_i32_test.cairo create mode 100644 src/tests/operators/math/min/min_u32_test.cairo delete mode 100644 src/tests/operators/math/min_test.cairo diff --git a/src/tests/operators/math.cairo b/src/tests/operators/math.cairo index 15bc3297d..c11b183be 100644 --- a/src/tests/operators/math.cairo +++ b/src/tests/operators/math.cairo @@ -1,7 +1,7 @@ mod argmax; mod argmin; mod max; -mod min_test; +mod min; mod reduce_sum_test; mod exp; mod equal; diff --git a/src/tests/operators/math/min.cairo b/src/tests/operators/math/min.cairo new file mode 100644 index 000000000..9b3d49b66 --- /dev/null +++ b/src/tests/operators/math/min.cairo @@ -0,0 +1,3 @@ +mod min_u32_test; +mod min_i32_test; +mod min_fp_test; \ No newline at end of file diff --git a/src/tests/operators/math/min/min_fp_test.cairo b/src/tests/operators/math/min/min_fp_test.cairo new file mode 100644 index 000000000..e5ad01dfe --- /dev/null +++ b/src/tests/operators/math/min/min_fp_test.cairo @@ -0,0 +1,2 @@ +mod min_fp8x23_test; +mod min_fp16x16_test; \ No newline at end of file diff --git a/src/tests/operators/math/min/min_fp_test/min_fp16x16_test.cairo b/src/tests/operators/math/min/min_fp_test/min_fp16x16_test.cairo new file mode 100644 index 000000000..4d3b72cee --- /dev/null +++ b/src/tests/operators/math/min/min_fp_test/min_fp16x16_test.cairo @@ -0,0 +1,62 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + use orion::numbers::fixed_point::core::{FixedTrait}; + + #[test] + #[available_gas(2000000)] + fn tensor_min() { + let tensor = fp_tensor_1x3_helper(); + + let result = tensor.min().mag; + assert(result == 0, 'tensor.min = 0'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + use orion::numbers::fixed_point::core::{FixedTrait}; + + + #[test] + #[available_gas(2000000)] + fn tensor_min() { + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.min().mag; + assert(result == 0, 'tensor.min = 0'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + use orion::numbers::fixed_point::core::{FixedTrait}; + + + #[test] + #[available_gas(2000000)] + fn tensor_min() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.min().mag; + assert(result == 0, 'tensor.min = 0'); + } +} + diff --git a/src/tests/operators/math/min/min_fp_test/min_fp8x23_test.cairo b/src/tests/operators/math/min/min_fp_test/min_fp8x23_test.cairo new file mode 100644 index 000000000..7c04f1720 --- /dev/null +++ b/src/tests/operators/math/min/min_fp_test/min_fp8x23_test.cairo @@ -0,0 +1,62 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + use orion::numbers::fixed_point::core::{FixedTrait}; + + #[test] + #[available_gas(2000000)] + fn tensor_min() { + let tensor = fp_tensor_1x3_helper(); + + let result = tensor.min().mag; + assert(result == 0, 'tensor.min = 0'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + use orion::numbers::fixed_point::core::{FixedTrait}; + + + #[test] + #[available_gas(2000000)] + fn tensor_min() { + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.min().mag; + assert(result == 0, 'tensor.min = 0'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + use orion::numbers::fixed_point::core::{FixedTrait}; + + + #[test] + #[available_gas(2000000)] + fn tensor_min() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.min().mag; + assert(result == 0, 'tensor.min = 0'); + } +} + diff --git a/src/tests/operators/math/min/min_i32_test.cairo b/src/tests/operators/math/min/min_i32_test.cairo new file mode 100644 index 000000000..59cefae7c --- /dev/null +++ b/src/tests/operators/math/min/min_i32_test.cairo @@ -0,0 +1,54 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + + #[test] + #[available_gas(2000000)] + fn tensor_min() { + let tensor = i32_tensor_1x3_helper(); + + let result = tensor.min().mag; + assert(result == 0, 'tensor.min = 0'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + + #[test] + #[available_gas(2000000)] + fn tensor_min() { + let tensor = i32_tensor_2x2_helper(); + + let result = tensor.min().mag; + assert(result == 0, 'tensor.min = 0'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + + #[test] + #[available_gas(2000000)] + fn tensor_min() { + let tensor = i32_tensor_2x2x2_helper(); + + let result = tensor.min().mag; + assert(result == 0, 'tensor.min = 0'); + } +} + diff --git a/src/tests/operators/math/min/min_u32_test.cairo b/src/tests/operators/math/min/min_u32_test.cairo new file mode 100644 index 000000000..e7155a943 --- /dev/null +++ b/src/tests/operators/math/min/min_u32_test.cairo @@ -0,0 +1,54 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + + #[test] + #[available_gas(2000000)] + fn tensor_min() { + let tensor = u32_tensor_1x3_helper(); + + let result = tensor.min(); + assert(result == 0, 'tensor.min = 0'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + + #[test] + #[available_gas(2000000)] + fn tensor_min() { + let tensor = u32_tensor_2x2_helper(); + + let result = tensor.min(); + assert(result == 0, 'tensor.min = 0'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + + #[test] + #[available_gas(2000000)] + fn tensor_min() { + let tensor = u32_tensor_2x2x2_helper(); + + let result = tensor.min(); + assert(result == 0, 'tensor.min = 0'); + } +} + diff --git a/src/tests/operators/math/min_test.cairo b/src/tests/operators/math/min_test.cairo deleted file mode 100644 index dea3e0897..000000000 --- a/src/tests/operators/math/min_test.cairo +++ /dev/null @@ -1,12 +0,0 @@ -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::operators::tensor::core::TensorTrait; -use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; - -#[test] -#[available_gas(2000000)] -fn min_tensor() { - let tensor = i32_tensor_2x2x2_helper(); - - let result = tensor.min().mag; - assert(result == 0, 'tensor.min = 0'); -} From 5cac0cc4e54676d9fdad54b8e5d9dbb6fd7ebdaf Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 14:46:09 +0300 Subject: [PATCH 032/126] refactor reduce_sum tests --- .../reduce_sum/reduce_sum_fp/fp16x16.cairo | 3 +- .../reduce_sum/reduce_sum_fp/fp8x23.cairo | 3 +- .../math/reduce_sum/reduce_sum_i32.cairo | 3 +- .../math/reduce_sum/reduce_sum_u32.cairo | 3 +- src/tests/operators/math.cairo | 2 +- src/tests/operators/math/reduce_sum.cairo | 3 + .../math/reduce_sum/reduce_sum_fp_test.cairo | 2 + .../reduce_sum_fp16x16_test.cairo | 242 ++++++++++++++++++ .../reduce_sum_fp8x23_test.cairo | 242 ++++++++++++++++++ .../math/reduce_sum/reduce_sum_i32_test.cairo | 228 +++++++++++++++++ .../math/reduce_sum/reduce_sum_u32_test.cairo | 228 +++++++++++++++++ .../operators/math/reduce_sum_test.cairo | 45 ---- 12 files changed, 954 insertions(+), 50 deletions(-) create mode 100644 src/tests/operators/math/reduce_sum.cairo create mode 100644 src/tests/operators/math/reduce_sum/reduce_sum_fp_test.cairo create mode 100644 src/tests/operators/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp16x16_test.cairo create mode 100644 src/tests/operators/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp8x23_test.cairo create mode 100644 src/tests/operators/math/reduce_sum/reduce_sum_i32_test.cairo create mode 100644 src/tests/operators/math/reduce_sum/reduce_sum_u32_test.cairo delete mode 100644 src/tests/operators/math/reduce_sum_test.cairo diff --git a/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp16x16.cairo b/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp16x16.cairo index 0032287b9..bdcbc295e 100644 --- a/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp16x16.cairo +++ b/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp16x16.cairo @@ -12,10 +12,10 @@ use orion::utils::check_gas; /// Cf: TensorTrait::reduce_sum docstring fn reduce_sum(self: @Tensor, axis: usize, keepdims: bool) -> Tensor { - assert(axis <= (*self.shape).len(), 'axis out of dimensions'); let mut output_data = ArrayTrait::new(); if (*self.shape).len() == 1 { + assert(axis == 0, 'axis out of dimensions'); let current_sum = accumulate_sum(*self.data, *self.shape, *self.shape, axis); output_data.append(current_sum); @@ -24,6 +24,7 @@ fn reduce_sum(self: @Tensor, axis: usize, keepdims: bool) -> Tensor::new(output_shape.span(), output_data.span(), *self.extra); } else { + assert(axis <= (*self.shape).len(), 'axis out of dimensions'); let output_shape = reduce_output_shape(*self.shape, axis, false); let output_data_len = len_from_shape(output_shape); let mut index: usize = 0; diff --git a/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp8x23.cairo b/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp8x23.cairo index c2087b279..58c649291 100644 --- a/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp8x23.cairo +++ b/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp8x23.cairo @@ -12,10 +12,10 @@ use orion::utils::check_gas; /// Cf: TensorTrait::reduce_sum docstring fn reduce_sum(self: @Tensor, axis: usize, keepdims: bool) -> Tensor { - assert(axis <= (*self.shape).len(), 'axis out of dimensions'); let mut output_data = ArrayTrait::new(); if (*self.shape).len() == 1 { + assert(axis == 0, 'axis out of dimensions'); let current_sum = accumulate_sum(*self.data, *self.shape, *self.shape, axis); output_data.append(current_sum); @@ -24,6 +24,7 @@ fn reduce_sum(self: @Tensor, axis: usize, keepdims: bool) -> Tensor::new(output_shape.span(), output_data.span(), *self.extra); } else { + assert(axis <= (*self.shape).len(), 'axis out of dimensions'); let output_shape = reduce_output_shape(*self.shape, axis, false); let output_data_len = len_from_shape(output_shape); let mut index: usize = 0; diff --git a/src/operators/tensor/math/reduce_sum/reduce_sum_i32.cairo b/src/operators/tensor/math/reduce_sum/reduce_sum_i32.cairo index 27ff5e8f2..1d2fb803e 100644 --- a/src/operators/tensor/math/reduce_sum/reduce_sum_i32.cairo +++ b/src/operators/tensor/math/reduce_sum/reduce_sum_i32.cairo @@ -10,10 +10,10 @@ use orion::utils::check_gas; /// Cf: TensorTrait::reduce_sum docstring fn reduce_sum(self: @Tensor, axis: usize, keepdims: bool) -> Tensor { - assert(axis <= (*self.shape).len(), 'axis out of dimensions'); let mut output_data = ArrayTrait::new(); if (*self.shape).len() == 1 { + assert(axis == 0, 'axis out of dimensions'); let current_sum = accumulate_sum(*self.data, *self.shape, *self.shape, axis); output_data.append(current_sum); @@ -22,6 +22,7 @@ fn reduce_sum(self: @Tensor, axis: usize, keepdims: bool) -> Tensor { return TensorTrait::::new(output_shape.span(), output_data.span(), *self.extra); } else { + assert(axis <= (*self.shape).len(), 'axis out of dimensions'); let output_shape = reduce_output_shape(*self.shape, axis, false); let output_data_len = len_from_shape(output_shape); let mut index: usize = 0; diff --git a/src/operators/tensor/math/reduce_sum/reduce_sum_u32.cairo b/src/operators/tensor/math/reduce_sum/reduce_sum_u32.cairo index 547c2f07c..4d5fa6db3 100644 --- a/src/operators/tensor/math/reduce_sum/reduce_sum_u32.cairo +++ b/src/operators/tensor/math/reduce_sum/reduce_sum_u32.cairo @@ -9,10 +9,10 @@ use orion::utils::check_gas; /// Cf: TensorTrait::reduce_sum docstring fn reduce_sum(self: @Tensor, axis: usize, keepdims: bool) -> Tensor { - assert(axis <= (*self.shape).len(), 'axis out of dimensions'); let mut output_data = ArrayTrait::new(); if (*self.shape).len() == 1 { + assert(axis == 0, 'axis out of dimensions'); let current_sum = accumulate_sum(*self.data, *self.shape, *self.shape, axis); output_data.append(current_sum); @@ -21,6 +21,7 @@ fn reduce_sum(self: @Tensor, axis: usize, keepdims: bool) -> Tensor { return TensorTrait::::new(output_shape.span(), output_data.span(), *self.extra); } else { + assert(axis <= (*self.shape).len(), 'axis out of dimensions'); let output_shape = reduce_output_shape(*self.shape, axis, false); let output_data_len = len_from_shape(output_shape); let mut index: usize = 0; diff --git a/src/tests/operators/math.cairo b/src/tests/operators/math.cairo index c11b183be..8953d0ad3 100644 --- a/src/tests/operators/math.cairo +++ b/src/tests/operators/math.cairo @@ -2,7 +2,7 @@ mod argmax; mod argmin; mod max; mod min; -mod reduce_sum_test; +mod reduce_sum; mod exp; mod equal; mod greater; diff --git a/src/tests/operators/math/reduce_sum.cairo b/src/tests/operators/math/reduce_sum.cairo new file mode 100644 index 000000000..eabbef7d2 --- /dev/null +++ b/src/tests/operators/math/reduce_sum.cairo @@ -0,0 +1,3 @@ +mod reduce_sum_u32_test; +mod reduce_sum_i32_test; +mod reduce_sum_fp_test; \ No newline at end of file diff --git a/src/tests/operators/math/reduce_sum/reduce_sum_fp_test.cairo b/src/tests/operators/math/reduce_sum/reduce_sum_fp_test.cairo new file mode 100644 index 000000000..00eb45bd8 --- /dev/null +++ b/src/tests/operators/math/reduce_sum/reduce_sum_fp_test.cairo @@ -0,0 +1,2 @@ +mod reduce_sum_fp8x23_test; +mod reduce_sum_fp16x16_test; diff --git a/src/tests/operators/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp16x16_test.cairo b/src/tests/operators/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp16x16_test.cairo new file mode 100644 index 000000000..db6d394f0 --- /dev/null +++ b/src/tests/operators/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp16x16_test.cairo @@ -0,0 +1,242 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Into, FP16x16Impl, FP16x16PartialEq + }; + use orion::numbers::fixed_point::core::FixedTrait; + + #[test] + #[available_gas(20000000)] + fn reduce_sum() { + let tensor = fp_tensor_1x3_helper(); + + let result = tensor.reduce_sum(0, false); + assert((*result.data[0]) == FixedTrait::new_unscaled(3, false), 'result[0] = 3'); + assert(result.data.len() == 1, 'result.data.len = 1'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn out_of_dim() { + let tensor = fp_tensor_1x3_helper(); + + let result = tensor.reduce_sum(1, false); + } +} +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Into, FP16x16Impl, FP16x16PartialEq + }; + use orion::numbers::fixed_point::core::FixedTrait; + + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_false() { + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.reduce_sum(0, false); + assert((*result.data[0]) == FixedTrait::new_unscaled(2, false), 'result.data[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(4, false), 'result.data[1] = 4'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 1, 'result.shape.len = 1'); + } + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_true() { + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.reduce_sum(0, true); + + assert((*result.data[0]) == FixedTrait::new_unscaled(2, false), 'result.data[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(4, false), 'result.data[1] = 4'); + assert((*result.shape[0]) == 1, 'result.shape[0] = 1'); + assert((*result.shape[1]) == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_false() { + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.reduce_sum(1, false); + + assert((*result.data[0]) == FixedTrait::new_unscaled(1, false), 'result.data[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(5, false), 'result.data[1] = 5'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 1, 'result.shape.len = 1'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_true() { + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.reduce_sum(1, true); + + assert((*result.data[0]) == FixedTrait::new_unscaled(1, false), 'result.data[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(5, false), 'result.data[1] = 5'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]) == 1, 'result.shape[1] = 1'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn out_of_dim() { + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.reduce_sum(2, false); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Into, FP16x16Impl, FP16x16PartialEq + }; + use orion::numbers::fixed_point::core::FixedTrait; + + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_false() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(0, false); + assert((*result.data[0]) == FixedTrait::new_unscaled(4, false), 'result[0] = 4'); + assert((*result.data[1]) == FixedTrait::new_unscaled(6, false), 'result[1] = 6'); + assert((*result.data[2]) == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); + assert((*result.data[3]) == FixedTrait::new_unscaled(10, false), 'result[3] = 10'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]) == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_true() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(0, true); + assert((*result.data[0]) == FixedTrait::new_unscaled(4, false), 'result[0] = 4'); + assert((*result.data[1]) == FixedTrait::new_unscaled(6, false), 'result[1] = 6'); + assert((*result.data[2]) == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); + assert((*result.data[3]) == FixedTrait::new_unscaled(10, false), 'result[3] = 10'); + assert((*result.shape[0]) == 1, 'result.shape[0] = 1'); + assert((*result.shape[1]) == 2, 'result.shape[1] = 2'); + assert((*result.shape[2]) == 2, 'result.shape[2] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 3, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_false() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(1, false); + assert((*result.data[0]) == FixedTrait::new_unscaled(2, false), 'result[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert((*result.data[2]) == FixedTrait::new_unscaled(10, false), 'result[2] = 10'); + assert((*result.data[3]) == FixedTrait::new_unscaled(12, false), 'result[3] = 12'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]) == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_true() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(1, true); + assert((*result.data[0]) == FixedTrait::new_unscaled(2, false), 'result[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert((*result.data[2]) == FixedTrait::new_unscaled(10, false), 'result[2] = 10'); + assert((*result.data[3]) == FixedTrait::new_unscaled(12, false), 'result[3] = 12'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]) == 1, 'result.shape[1] = 1'); + assert((*result.shape[2]) == 2, 'result.shape[2] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 3, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_2_keepdims_false() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(2, false); + assert((*result.data[0]) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(5, false), 'result[1] = 5'); + assert((*result.data[2]) == FixedTrait::new_unscaled(9, false), 'result[2] = 9'); + assert((*result.data[3]) == FixedTrait::new_unscaled(13, false), 'result[3] = 13'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]) == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_2_keepdims_true() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(2, true); + assert((*result.data[0]) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(5, false), 'result[1] = 5'); + assert((*result.data[2]) == FixedTrait::new_unscaled(9, false), 'result[2] = 9'); + assert((*result.data[3]) == FixedTrait::new_unscaled(13, false), 'result[3] = 13'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]) == 2, 'result.shape[1] = 2'); + assert((*result.shape[2]) == 1, 'result.shape[2] = 1'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 3, 'result.shape.len = 2'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn out_of_dim() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(3, false); + } +} + diff --git a/src/tests/operators/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp8x23_test.cairo b/src/tests/operators/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp8x23_test.cairo new file mode 100644 index 000000000..919996c49 --- /dev/null +++ b/src/tests/operators/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp8x23_test.cairo @@ -0,0 +1,242 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::{ + FP8x23Into, FP8x23Impl, FP8x23PartialEq + }; + use orion::numbers::fixed_point::core::FixedTrait; + + #[test] + #[available_gas(20000000)] + fn reduce_sum() { + let tensor = fp_tensor_1x3_helper(); + + let result = tensor.reduce_sum(0, false); + assert((*result.data[0]) == FixedTrait::new_unscaled(3, false), 'result[0] = 3'); + assert(result.data.len() == 1, 'result.data.len = 1'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn out_of_dim() { + let tensor = fp_tensor_1x3_helper(); + + let result = tensor.reduce_sum(1, false); + } +} +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::{ + FP8x23Into, FP8x23Impl, FP8x23PartialEq + }; + use orion::numbers::fixed_point::core::FixedTrait; + + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_false() { + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.reduce_sum(0, false); + assert((*result.data[0]) == FixedTrait::new_unscaled(2, false), 'result.data[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(4, false), 'result.data[1] = 4'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 1, 'result.shape.len = 1'); + } + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_true() { + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.reduce_sum(0, true); + + assert((*result.data[0]) == FixedTrait::new_unscaled(2, false), 'result.data[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(4, false), 'result.data[1] = 4'); + assert((*result.shape[0]) == 1, 'result.shape[0] = 1'); + assert((*result.shape[1]) == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_false() { + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.reduce_sum(1, false); + + assert((*result.data[0]) == FixedTrait::new_unscaled(1, false), 'result.data[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(5, false), 'result.data[1] = 5'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 1, 'result.shape.len = 1'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_true() { + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.reduce_sum(1, true); + + assert((*result.data[0]) == FixedTrait::new_unscaled(1, false), 'result.data[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(5, false), 'result.data[1] = 5'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]) == 1, 'result.shape[1] = 1'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn out_of_dim() { + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.reduce_sum(2, false); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::{ + FP8x23Into, FP8x23Impl, FP8x23PartialEq + }; + use orion::numbers::fixed_point::core::FixedTrait; + + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_false() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(0, false); + assert((*result.data[0]) == FixedTrait::new_unscaled(4, false), 'result[0] = 4'); + assert((*result.data[1]) == FixedTrait::new_unscaled(6, false), 'result[1] = 6'); + assert((*result.data[2]) == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); + assert((*result.data[3]) == FixedTrait::new_unscaled(10, false), 'result[3] = 10'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]) == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_true() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(0, true); + assert((*result.data[0]) == FixedTrait::new_unscaled(4, false), 'result[0] = 4'); + assert((*result.data[1]) == FixedTrait::new_unscaled(6, false), 'result[1] = 6'); + assert((*result.data[2]) == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); + assert((*result.data[3]) == FixedTrait::new_unscaled(10, false), 'result[3] = 10'); + assert((*result.shape[0]) == 1, 'result.shape[0] = 1'); + assert((*result.shape[1]) == 2, 'result.shape[1] = 2'); + assert((*result.shape[2]) == 2, 'result.shape[2] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 3, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_false() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(1, false); + assert((*result.data[0]) == FixedTrait::new_unscaled(2, false), 'result[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert((*result.data[2]) == FixedTrait::new_unscaled(10, false), 'result[2] = 10'); + assert((*result.data[3]) == FixedTrait::new_unscaled(12, false), 'result[3] = 12'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]) == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_true() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(1, true); + assert((*result.data[0]) == FixedTrait::new_unscaled(2, false), 'result[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert((*result.data[2]) == FixedTrait::new_unscaled(10, false), 'result[2] = 10'); + assert((*result.data[3]) == FixedTrait::new_unscaled(12, false), 'result[3] = 12'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]) == 1, 'result.shape[1] = 1'); + assert((*result.shape[2]) == 2, 'result.shape[2] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 3, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_2_keepdims_false() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(2, false); + assert((*result.data[0]) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(5, false), 'result[1] = 5'); + assert((*result.data[2]) == FixedTrait::new_unscaled(9, false), 'result[2] = 9'); + assert((*result.data[3]) == FixedTrait::new_unscaled(13, false), 'result[3] = 13'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]) == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_2_keepdims_true() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(2, true); + assert((*result.data[0]) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(5, false), 'result[1] = 5'); + assert((*result.data[2]) == FixedTrait::new_unscaled(9, false), 'result[2] = 9'); + assert((*result.data[3]) == FixedTrait::new_unscaled(13, false), 'result[3] = 13'); + assert((*result.shape[0]) == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]) == 2, 'result.shape[1] = 2'); + assert((*result.shape[2]) == 1, 'result.shape[2] = 1'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 3, 'result.shape.len = 2'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn out_of_dim() { + let tensor = fp_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(3, false); + } +} + diff --git a/src/tests/operators/math/reduce_sum/reduce_sum_i32_test.cairo b/src/tests/operators/math/reduce_sum/reduce_sum_i32_test.cairo new file mode 100644 index 000000000..d0ce6da8f --- /dev/null +++ b/src/tests/operators/math/reduce_sum/reduce_sum_i32_test.cairo @@ -0,0 +1,228 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + + #[test] + #[available_gas(20000000)] + fn reduce_sum() { + let tensor = i32_tensor_1x3_helper(); + + let result = tensor.reduce_sum(0, false); + assert((*result.data[0]).into() == 3, 'result[0] = 3'); + assert(result.data.len() == 1, 'result.data.len = 1'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn out_of_dim() { + let tensor = i32_tensor_1x3_helper(); + + let result = tensor.reduce_sum(1, false); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_false() { + let tensor = i32_tensor_2x2_helper(); + + let result = tensor.reduce_sum(0, false); + assert((*result.data[0]).into() == 2, 'result.data[0] = 2'); + assert((*result.data[1]).into() == 4, 'result.data[1] = 4'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 1, 'result.shape.len = 1'); + } + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_true() { + let tensor = i32_tensor_2x2_helper(); + + let result = tensor.reduce_sum(0, true); + + assert((*result.data[0]).into() == 2, 'result.data[0] = 2'); + assert((*result.data[1]).into() == 4, 'result.data[1] = 4'); + assert((*result.shape[0]).into() == 1, 'result.shape[0] = 1'); + assert((*result.shape[1]).into() == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_false() { + let tensor = i32_tensor_2x2_helper(); + + let result = tensor.reduce_sum(1, false); + + assert((*result.data[0]).into() == 1, 'result.data[0] = 1'); + assert((*result.data[1]).into() == 5, 'result.data[1] = 5'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 1, 'result.shape.len = 1'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_true() { + let tensor = i32_tensor_2x2_helper(); + + let result = tensor.reduce_sum(1, true); + + assert((*result.data[0]).into() == 1, 'result.data[0] = 1'); + assert((*result.data[1]).into() == 5, 'result.data[1] = 5'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]).into() == 1, 'result.shape[1] = 1'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn out_of_dim() { + let tensor = i32_tensor_2x2_helper(); + + let result = tensor.reduce_sum(2, false); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_false() { + let tensor = i32_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(0, false); + assert((*result.data[0]).into() == 4, 'result[0] = 4'); + assert((*result.data[1]).into() == 6, 'result[1] = 6'); + assert((*result.data[2]).into() == 8, 'result[2] = 8'); + assert((*result.data[3]).into() == 10, 'result[3] = 10'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]).into() == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_true() { + let tensor = i32_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(0, true); + assert((*result.data[0]).into() == 4, 'result[0] = 4'); + assert((*result.data[1]).into() == 6, 'result[1] = 6'); + assert((*result.data[2]).into() == 8, 'result[2] = 8'); + assert((*result.data[3]).into() == 10, 'result[3] = 10'); + assert((*result.shape[0]).into() == 1, 'result.shape[0] = 1'); + assert((*result.shape[1]).into() == 2, 'result.shape[1] = 2'); + assert((*result.shape[2]).into() == 2, 'result.shape[2] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 3, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_false() { + let tensor = i32_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(1, false); + assert((*result.data[0]).into() == 2, 'result[0] = 2'); + assert((*result.data[1]).into() == 4, 'result[1] = 4'); + assert((*result.data[2]).into() == 10, 'result[2] = 10'); + assert((*result.data[3]).into() == 12, 'result[3] = 12'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]).into() == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_true() { + let tensor = i32_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(1, true); + assert((*result.data[0]).into() == 2, 'result[0] = 2'); + assert((*result.data[1]).into() == 4, 'result[1] = 4'); + assert((*result.data[2]).into() == 10, 'result[2] = 10'); + assert((*result.data[3]).into() == 12, 'result[3] = 12'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]).into() == 1, 'result.shape[1] = 1'); + assert((*result.shape[2]).into() == 2, 'result.shape[2] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 3, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_2_keepdims_false() { + let tensor = i32_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(2, false); + assert((*result.data[0]).into() == 1, 'result[0] = 1'); + assert((*result.data[1]).into() == 5, 'result[1] = 5'); + assert((*result.data[2]).into() == 9, 'result[2] = 9'); + assert((*result.data[3]).into() == 13, 'result[3] = 13'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]).into() == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_2_keepdims_true() { + let tensor = i32_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(2, true); + assert((*result.data[0]).into() == 1, 'result[0] = 1'); + assert((*result.data[1]).into() == 5, 'result[1] = 5'); + assert((*result.data[2]).into() == 9, 'result[2] = 9'); + assert((*result.data[3]).into() == 13, 'result[3] = 13'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]).into() == 2, 'result.shape[1] = 2'); + assert((*result.shape[2]).into() == 1, 'result.shape[2] = 1'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 3, 'result.shape.len = 2'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn out_of_dim() { + let tensor = i32_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(3, false); + } +} diff --git a/src/tests/operators/math/reduce_sum/reduce_sum_u32_test.cairo b/src/tests/operators/math/reduce_sum/reduce_sum_u32_test.cairo new file mode 100644 index 000000000..246ed569c --- /dev/null +++ b/src/tests/operators/math/reduce_sum/reduce_sum_u32_test.cairo @@ -0,0 +1,228 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + + #[test] + #[available_gas(20000000)] + fn reduce_sum() { + let tensor = u32_tensor_1x3_helper(); + + let result = tensor.reduce_sum(0, false); + assert((*result.data[0]).into() == 3, 'result[0] = 3'); + assert(result.data.len() == 1, 'result.data.len = 1'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn out_of_dim() { + let tensor = u32_tensor_1x3_helper(); + + let result = tensor.reduce_sum(1, false); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_false() { + let tensor = u32_tensor_2x2_helper(); + + let result = tensor.reduce_sum(0, false); + assert((*result.data[0]).into() == 2, 'result.data[0] = 2'); + assert((*result.data[1]).into() == 4, 'result.data[1] = 4'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 1, 'result.shape.len = 1'); + } + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_true() { + let tensor = u32_tensor_2x2_helper(); + + let result = tensor.reduce_sum(0, true); + + assert((*result.data[0]).into() == 2, 'result.data[0] = 2'); + assert((*result.data[1]).into() == 4, 'result.data[1] = 4'); + assert((*result.shape[0]).into() == 1, 'result.shape[0] = 1'); + assert((*result.shape[1]).into() == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_false() { + let tensor = u32_tensor_2x2_helper(); + + let result = tensor.reduce_sum(1, false); + + assert((*result.data[0]).into() == 1, 'result.data[0] = 1'); + assert((*result.data[1]).into() == 5, 'result.data[1] = 5'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 1, 'result.shape.len = 1'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_true() { + let tensor = u32_tensor_2x2_helper(); + + let result = tensor.reduce_sum(1, true); + + assert((*result.data[0]).into() == 1, 'result.data[0] = 1'); + assert((*result.data[1]).into() == 5, 'result.data[1] = 5'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]).into() == 1, 'result.shape[1] = 1'); + assert(result.data.len() == 2, 'result.data.len = 1'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn out_of_dim() { + let tensor = u32_tensor_2x2_helper(); + + let result = tensor.reduce_sum(2, false); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::TensorTrait; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_false() { + let tensor = u32_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(0, false); + assert((*result.data[0]).into() == 4, 'result[0] = 4'); + assert((*result.data[1]).into() == 6, 'result[1] = 6'); + assert((*result.data[2]).into() == 8, 'result[2] = 8'); + assert((*result.data[3]).into() == 10, 'result[3] = 10'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]).into() == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_0_keepdims_true() { + let tensor = u32_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(0, true); + assert((*result.data[0]).into() == 4, 'result[0] = 4'); + assert((*result.data[1]).into() == 6, 'result[1] = 6'); + assert((*result.data[2]).into() == 8, 'result[2] = 8'); + assert((*result.data[3]).into() == 10, 'result[3] = 10'); + assert((*result.shape[0]).into() == 1, 'result.shape[0] = 1'); + assert((*result.shape[1]).into() == 2, 'result.shape[1] = 2'); + assert((*result.shape[2]).into() == 2, 'result.shape[2] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 3, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_false() { + let tensor = u32_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(1, false); + assert((*result.data[0]).into() == 2, 'result[0] = 2'); + assert((*result.data[1]).into() == 4, 'result[1] = 4'); + assert((*result.data[2]).into() == 10, 'result[2] = 10'); + assert((*result.data[3]).into() == 12, 'result[3] = 12'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]).into() == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_1_keepdims_true() { + let tensor = u32_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(1, true); + assert((*result.data[0]).into() == 2, 'result[0] = 2'); + assert((*result.data[1]).into() == 4, 'result[1] = 4'); + assert((*result.data[2]).into() == 10, 'result[2] = 10'); + assert((*result.data[3]).into() == 12, 'result[3] = 12'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]).into() == 1, 'result.shape[1] = 1'); + assert((*result.shape[2]).into() == 2, 'result.shape[2] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 3, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_2_keepdims_false() { + let tensor = u32_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(2, false); + assert((*result.data[0]).into() == 1, 'result[0] = 1'); + assert((*result.data[1]).into() == 5, 'result[1] = 5'); + assert((*result.data[2]).into() == 9, 'result[2] = 9'); + assert((*result.data[3]).into() == 13, 'result[3] = 13'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]).into() == 2, 'result.shape[1] = 2'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 2, 'result.shape.len = 2'); + } + + #[test] + #[available_gas(20000000)] + fn axis_2_keepdims_true() { + let tensor = u32_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(2, true); + assert((*result.data[0]).into() == 1, 'result[0] = 1'); + assert((*result.data[1]).into() == 5, 'result[1] = 5'); + assert((*result.data[2]).into() == 9, 'result[2] = 9'); + assert((*result.data[3]).into() == 13, 'result[3] = 13'); + assert((*result.shape[0]).into() == 2, 'result.shape[0] = 2'); + assert((*result.shape[1]).into() == 2, 'result.shape[1] = 2'); + assert((*result.shape[2]).into() == 1, 'result.shape[2] = 1'); + assert(result.data.len() == 4, 'result.data.len = 4'); + assert(result.shape.len() == 3, 'result.shape.len = 2'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn out_of_dim() { + let tensor = u32_tensor_2x2x2_helper(); + + let result = tensor.reduce_sum(3, false); + } +} diff --git a/src/tests/operators/math/reduce_sum_test.cairo b/src/tests/operators/math/reduce_sum_test.cairo deleted file mode 100644 index d9ef43888..000000000 --- a/src/tests/operators/math/reduce_sum_test.cairo +++ /dev/null @@ -1,45 +0,0 @@ -use array::SpanTrait; -use traits::Into; - -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::operators::tensor::core::TensorTrait; -use orion::tests::helpers::tensor::i32::{i32_tensor_2x2x2_helper, i32_tensor_1x3_helper}; - -use debug::PrintTrait; - -#[test] -#[available_gas(20000000)] -fn reduce_sum_1d() { - let tensor = i32_tensor_1x3_helper(); - - let result = tensor.reduce_sum(0, false); - assert((*result.data[0]).into() == 3, 'result[0] = 3'); - assert(result.data.len() == 1, 'result.len = 1'); -} - -#[test] -#[available_gas(20000000)] -fn reduce_sum_3d() { - let tensor = i32_tensor_2x2x2_helper(); - - let result = tensor.reduce_sum(0, false); - - assert((*result.data[0]).into() == 4, 'result[0] = 4'); - assert((*result.data[1]).into() == 6, 'result[1] = 6'); - assert((*result.data[2]).into() == 8, 'result[2] = 8'); - assert((*result.data[3]).into() == 10, 'result[3] = 10'); - - let result = tensor.reduce_sum(1, false).data; - - assert((*result[0]).into() == 2, 'result[0] = 2'); - assert((*result[1]).into() == 4, 'result[1] = 4'); - assert((*result[2]).into() == 10, 'result[2] = 10'); - assert((*result[3]).into() == 12, 'result[3] = 12'); - - let result = tensor.reduce_sum(2, false).data; - - assert((*result[0]).into() == 1, 'result[0] = 1'); - assert((*result[1]).into() == 5, 'result[1] = 5'); - assert((*result[2]).into() == 9, 'result[2] = 9'); - assert((*result[3]).into() == 13, 'result[3] = 13'); -} From 6f2813c47a21a606d1212d03d839bfca879d88c0 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 14:58:20 +0300 Subject: [PATCH 033/126] reorganize tensor tests --- src/tests/operators.cairo | 2 -- src/tests/operators/tensor.cairo | 4 +++- src/tests/operators/{ => tensor}/linalg.cairo | 0 src/tests/operators/{ => tensor}/linalg/matmul.cairo | 0 .../operators/{ => tensor}/linalg/matmul/matmul_fp_test.cairo | 0 .../linalg/matmul/matmul_fp_test/matmul_fp16x16_test.cairo | 0 .../linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo | 0 .../{ => tensor}/linalg/matmul/matmul_i32_test.cairo | 0 .../{ => tensor}/linalg/matmul/matmul_u32_test.cairo | 0 src/tests/operators/{ => tensor}/math.cairo | 0 src/tests/operators/{ => tensor}/math/abs.cairo | 0 src/tests/operators/{ => tensor}/math/abs/abs_fp_test.cairo | 0 .../{ => tensor}/math/abs/abs_fp_test/abs_fp16x16_test.cairo | 0 .../{ => tensor}/math/abs/abs_fp_test/abs_fp8x23_test.cairo | 0 src/tests/operators/{ => tensor}/math/abs/abs_i32_test.cairo | 0 src/tests/operators/{ => tensor}/math/abs/abs_u32_test.cairo | 0 src/tests/operators/{ => tensor}/math/argmax.cairo | 0 .../operators/{ => tensor}/math/argmax/argmax_fp_test.cairo | 0 .../math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo | 0 .../math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo | 0 .../operators/{ => tensor}/math/argmax/argmax_i32_test.cairo | 0 .../operators/{ => tensor}/math/argmax/argmax_u32_test.cairo | 0 src/tests/operators/{ => tensor}/math/argmin.cairo | 0 .../operators/{ => tensor}/math/argmin/argmin_fp_test.cairo | 0 .../math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo | 0 .../math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo | 0 .../operators/{ => tensor}/math/argmin/argmin_i32_test.cairo | 0 .../operators/{ => tensor}/math/argmin/argmin_u32_test.cairo | 0 src/tests/operators/{ => tensor}/math/ceil.cairo | 0 src/tests/operators/{ => tensor}/math/ceil/ceil_fp_test.cairo | 0 .../math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo | 0 .../math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo | 0 .../operators/{ => tensor}/math/ceil/ceil_i32_test.cairo | 0 .../operators/{ => tensor}/math/ceil/ceil_u32_test.cairo | 0 src/tests/operators/{ => tensor}/math/equal.cairo | 0 .../operators/{ => tensor}/math/equal/equal_fp_test.cairo | 0 .../math/equal/equal_fp_test/equal_fp16x16_test.cairo | 0 .../math/equal/equal_fp_test/equal_fp8x23_test.cairo | 0 .../operators/{ => tensor}/math/equal/equal_i32_test.cairo | 0 .../operators/{ => tensor}/math/equal/equal_u32_test.cairo | 0 src/tests/operators/{ => tensor}/math/exp.cairo | 0 src/tests/operators/{ => tensor}/math/exp/exp_fp_test.cairo | 0 .../{ => tensor}/math/exp/exp_fp_test/exp_fp16x16_test.cairo | 0 .../{ => tensor}/math/exp/exp_fp_test/exp_fp8x23_test.cairo | 0 src/tests/operators/{ => tensor}/math/exp/exp_i32_test.cairo | 0 src/tests/operators/{ => tensor}/math/exp/exp_u32_test.cairo | 0 src/tests/operators/{ => tensor}/math/greater.cairo | 0 .../operators/{ => tensor}/math/greater/greater_fp_test.cairo | 0 .../math/greater/greater_fp_test/greater_fp16x16_test.cairo | 0 .../math/greater/greater_fp_test/greater_fp8x23_test.cairo | 0 .../{ => tensor}/math/greater/greater_i32_test.cairo | 0 .../{ => tensor}/math/greater/greater_u32_test.cairo | 0 src/tests/operators/{ => tensor}/math/greater_equal.cairo | 0 .../math/greater_equal/greater_equal_fp_test.cairo | 0 .../greater_equal_fp_test/greater_equal_fp16x16_test.cairo | 0 .../greater_equal_fp_test/greater_equal_fp8x23_test.cairo | 0 .../math/greater_equal/greater_equal_i32_test.cairo | 0 .../math/greater_equal/greater_equal_u32_test.cairo | 0 src/tests/operators/{ => tensor}/math/less.cairo | 0 src/tests/operators/{ => tensor}/math/less/less_fp_test.cairo | 0 .../math/less/less_fp_test/less_fp16x16_test.cairo | 0 .../math/less/less_fp_test/less_fp8x23_test.cairo | 0 .../operators/{ => tensor}/math/less/less_i32_test.cairo | 0 .../operators/{ => tensor}/math/less/less_u32_test.cairo | 0 src/tests/operators/{ => tensor}/math/less_equal.cairo | 0 .../{ => tensor}/math/less_equal/less_equal_fp_test.cairo | 0 .../less_equal_fp_test/less_equal_fp16x16_test.cairo | 0 .../less_equal_fp_test/less_equal_fp8x23_test.cairo | 0 .../{ => tensor}/math/less_equal/less_equal_i32_test.cairo | 0 .../{ => tensor}/math/less_equal/less_equal_u32_test.cairo | 0 src/tests/operators/{ => tensor}/math/ln.cairo | 0 src/tests/operators/{ => tensor}/math/ln/ln_fp_test.cairo | 0 .../{ => tensor}/math/ln/ln_fp_test/ln_fp16x16_test.cairo | 0 .../{ => tensor}/math/ln/ln_fp_test/ln_fp8x23_test.cairo | 0 src/tests/operators/{ => tensor}/math/ln/ln_i32_test.cairo | 0 src/tests/operators/{ => tensor}/math/ln/ln_u32_test.cairo | 0 src/tests/operators/{ => tensor}/math/max.cairo | 0 src/tests/operators/{ => tensor}/math/max/max_fp_test.cairo | 0 .../{ => tensor}/math/max/max_fp_test/max_fp16x16_test.cairo | 0 .../{ => tensor}/math/max/max_fp_test/max_fp8x23_test.cairo | 0 src/tests/operators/{ => tensor}/math/max/max_i32_test.cairo | 0 src/tests/operators/{ => tensor}/math/max/max_u32_test.cairo | 0 src/tests/operators/{ => tensor}/math/min.cairo | 0 src/tests/operators/{ => tensor}/math/min/min_fp_test.cairo | 0 .../{ => tensor}/math/min/min_fp_test/min_fp16x16_test.cairo | 0 .../{ => tensor}/math/min/min_fp_test/min_fp8x23_test.cairo | 0 src/tests/operators/{ => tensor}/math/min/min_i32_test.cairo | 0 src/tests/operators/{ => tensor}/math/min/min_u32_test.cairo | 0 src/tests/operators/{ => tensor}/math/reduce_sum.cairo | 0 .../{ => tensor}/math/reduce_sum/reduce_sum_fp_test.cairo | 0 .../reduce_sum_fp_test/reduce_sum_fp16x16_test.cairo | 0 .../reduce_sum_fp_test/reduce_sum_fp8x23_test.cairo | 0 .../{ => tensor}/math/reduce_sum/reduce_sum_i32_test.cairo | 0 .../{ => tensor}/math/reduce_sum/reduce_sum_u32_test.cairo | 0 94 files changed, 3 insertions(+), 3 deletions(-) rename src/tests/operators/{ => tensor}/linalg.cairo (100%) rename src/tests/operators/{ => tensor}/linalg/matmul.cairo (100%) rename src/tests/operators/{ => tensor}/linalg/matmul/matmul_fp_test.cairo (100%) rename src/tests/operators/{ => tensor}/linalg/matmul/matmul_fp_test/matmul_fp16x16_test.cairo (100%) rename src/tests/operators/{ => tensor}/linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo (100%) rename src/tests/operators/{ => tensor}/linalg/matmul/matmul_i32_test.cairo (100%) rename src/tests/operators/{ => tensor}/linalg/matmul/matmul_u32_test.cairo (100%) rename src/tests/operators/{ => tensor}/math.cairo (100%) rename src/tests/operators/{ => tensor}/math/abs.cairo (100%) rename src/tests/operators/{ => tensor}/math/abs/abs_fp_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/abs/abs_fp_test/abs_fp16x16_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/abs/abs_fp_test/abs_fp8x23_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/abs/abs_i32_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/abs/abs_u32_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/argmax.cairo (100%) rename src/tests/operators/{ => tensor}/math/argmax/argmax_fp_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/argmax/argmax_i32_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/argmax/argmax_u32_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/argmin.cairo (100%) rename src/tests/operators/{ => tensor}/math/argmin/argmin_fp_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/argmin/argmin_i32_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/argmin/argmin_u32_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/ceil.cairo (100%) rename src/tests/operators/{ => tensor}/math/ceil/ceil_fp_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/ceil/ceil_i32_test.cairo (100%) rename src/tests/operators/{ => tensor}/math/ceil/ceil_u32_test.cairo (100%) rename src/tests/operators/{ => 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(100%) rename src/tests/operators/{ => tensor}/math/reduce_sum/reduce_sum_u32_test.cairo (100%) diff --git a/src/tests/operators.cairo b/src/tests/operators.cairo index 2dbe7792b..391e7133c 100644 --- a/src/tests/operators.cairo +++ b/src/tests/operators.cairo @@ -1,4 +1,2 @@ -mod linalg; -mod math; mod nn; mod tensor; diff --git a/src/tests/operators/tensor.cairo b/src/tests/operators/tensor.cairo index 0143edfc3..df3dfc814 100644 --- a/src/tests/operators/tensor.cairo +++ b/src/tests/operators/tensor.cairo @@ -1 +1,3 @@ -mod tensor_test; \ No newline at end of file +mod tensor_test; +mod math; +mod linalg; \ No newline at end of file diff --git a/src/tests/operators/linalg.cairo b/src/tests/operators/tensor/linalg.cairo similarity index 100% rename from src/tests/operators/linalg.cairo rename to src/tests/operators/tensor/linalg.cairo diff --git a/src/tests/operators/linalg/matmul.cairo b/src/tests/operators/tensor/linalg/matmul.cairo similarity index 100% rename from src/tests/operators/linalg/matmul.cairo rename to src/tests/operators/tensor/linalg/matmul.cairo diff --git a/src/tests/operators/linalg/matmul/matmul_fp_test.cairo b/src/tests/operators/tensor/linalg/matmul/matmul_fp_test.cairo similarity index 100% rename from src/tests/operators/linalg/matmul/matmul_fp_test.cairo rename to src/tests/operators/tensor/linalg/matmul/matmul_fp_test.cairo diff --git a/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp16x16_test.cairo b/src/tests/operators/tensor/linalg/matmul/matmul_fp_test/matmul_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp16x16_test.cairo rename to src/tests/operators/tensor/linalg/matmul/matmul_fp_test/matmul_fp16x16_test.cairo diff --git a/src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo b/src/tests/operators/tensor/linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo rename to src/tests/operators/tensor/linalg/matmul/matmul_fp_test/matmul_fp8x23_test.cairo diff --git a/src/tests/operators/linalg/matmul/matmul_i32_test.cairo b/src/tests/operators/tensor/linalg/matmul/matmul_i32_test.cairo similarity index 100% rename from src/tests/operators/linalg/matmul/matmul_i32_test.cairo rename to src/tests/operators/tensor/linalg/matmul/matmul_i32_test.cairo diff --git a/src/tests/operators/linalg/matmul/matmul_u32_test.cairo b/src/tests/operators/tensor/linalg/matmul/matmul_u32_test.cairo similarity index 100% rename from src/tests/operators/linalg/matmul/matmul_u32_test.cairo rename to src/tests/operators/tensor/linalg/matmul/matmul_u32_test.cairo diff --git a/src/tests/operators/math.cairo b/src/tests/operators/tensor/math.cairo similarity index 100% rename from src/tests/operators/math.cairo rename to src/tests/operators/tensor/math.cairo diff --git a/src/tests/operators/math/abs.cairo b/src/tests/operators/tensor/math/abs.cairo similarity index 100% rename from src/tests/operators/math/abs.cairo rename to src/tests/operators/tensor/math/abs.cairo diff --git a/src/tests/operators/math/abs/abs_fp_test.cairo b/src/tests/operators/tensor/math/abs/abs_fp_test.cairo similarity index 100% rename from src/tests/operators/math/abs/abs_fp_test.cairo rename to src/tests/operators/tensor/math/abs/abs_fp_test.cairo diff --git a/src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo b/src/tests/operators/tensor/math/abs/abs_fp_test/abs_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/math/abs/abs_fp_test/abs_fp16x16_test.cairo rename to src/tests/operators/tensor/math/abs/abs_fp_test/abs_fp16x16_test.cairo diff --git a/src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo b/src/tests/operators/tensor/math/abs/abs_fp_test/abs_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/math/abs/abs_fp_test/abs_fp8x23_test.cairo rename to src/tests/operators/tensor/math/abs/abs_fp_test/abs_fp8x23_test.cairo diff --git a/src/tests/operators/math/abs/abs_i32_test.cairo b/src/tests/operators/tensor/math/abs/abs_i32_test.cairo similarity index 100% rename from src/tests/operators/math/abs/abs_i32_test.cairo rename to src/tests/operators/tensor/math/abs/abs_i32_test.cairo diff --git a/src/tests/operators/math/abs/abs_u32_test.cairo b/src/tests/operators/tensor/math/abs/abs_u32_test.cairo similarity index 100% rename from src/tests/operators/math/abs/abs_u32_test.cairo rename to src/tests/operators/tensor/math/abs/abs_u32_test.cairo diff --git a/src/tests/operators/math/argmax.cairo b/src/tests/operators/tensor/math/argmax.cairo similarity index 100% rename from src/tests/operators/math/argmax.cairo rename to src/tests/operators/tensor/math/argmax.cairo diff --git a/src/tests/operators/math/argmax/argmax_fp_test.cairo b/src/tests/operators/tensor/math/argmax/argmax_fp_test.cairo similarity index 100% rename from src/tests/operators/math/argmax/argmax_fp_test.cairo rename to src/tests/operators/tensor/math/argmax/argmax_fp_test.cairo diff --git a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo b/src/tests/operators/tensor/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo rename to src/tests/operators/tensor/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo diff --git a/src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo b/src/tests/operators/tensor/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo rename to src/tests/operators/tensor/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo diff --git a/src/tests/operators/math/argmax/argmax_i32_test.cairo b/src/tests/operators/tensor/math/argmax/argmax_i32_test.cairo similarity index 100% rename from src/tests/operators/math/argmax/argmax_i32_test.cairo rename to src/tests/operators/tensor/math/argmax/argmax_i32_test.cairo diff --git a/src/tests/operators/math/argmax/argmax_u32_test.cairo b/src/tests/operators/tensor/math/argmax/argmax_u32_test.cairo similarity index 100% rename from src/tests/operators/math/argmax/argmax_u32_test.cairo rename to src/tests/operators/tensor/math/argmax/argmax_u32_test.cairo diff --git a/src/tests/operators/math/argmin.cairo b/src/tests/operators/tensor/math/argmin.cairo similarity index 100% rename from src/tests/operators/math/argmin.cairo rename to src/tests/operators/tensor/math/argmin.cairo diff --git a/src/tests/operators/math/argmin/argmin_fp_test.cairo b/src/tests/operators/tensor/math/argmin/argmin_fp_test.cairo similarity index 100% rename from src/tests/operators/math/argmin/argmin_fp_test.cairo rename to src/tests/operators/tensor/math/argmin/argmin_fp_test.cairo diff --git a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo b/src/tests/operators/tensor/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo rename to src/tests/operators/tensor/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo diff --git a/src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo b/src/tests/operators/tensor/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo rename to src/tests/operators/tensor/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo diff --git a/src/tests/operators/math/argmin/argmin_i32_test.cairo b/src/tests/operators/tensor/math/argmin/argmin_i32_test.cairo similarity index 100% rename from src/tests/operators/math/argmin/argmin_i32_test.cairo rename to src/tests/operators/tensor/math/argmin/argmin_i32_test.cairo diff --git a/src/tests/operators/math/argmin/argmin_u32_test.cairo b/src/tests/operators/tensor/math/argmin/argmin_u32_test.cairo similarity index 100% rename from src/tests/operators/math/argmin/argmin_u32_test.cairo rename to src/tests/operators/tensor/math/argmin/argmin_u32_test.cairo diff --git a/src/tests/operators/math/ceil.cairo b/src/tests/operators/tensor/math/ceil.cairo similarity index 100% rename from src/tests/operators/math/ceil.cairo rename to src/tests/operators/tensor/math/ceil.cairo diff --git a/src/tests/operators/math/ceil/ceil_fp_test.cairo b/src/tests/operators/tensor/math/ceil/ceil_fp_test.cairo similarity index 100% rename from src/tests/operators/math/ceil/ceil_fp_test.cairo rename to src/tests/operators/tensor/math/ceil/ceil_fp_test.cairo diff --git a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo b/src/tests/operators/tensor/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo rename to src/tests/operators/tensor/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo diff --git a/src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo b/src/tests/operators/tensor/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo rename to src/tests/operators/tensor/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo diff --git a/src/tests/operators/math/ceil/ceil_i32_test.cairo b/src/tests/operators/tensor/math/ceil/ceil_i32_test.cairo similarity index 100% rename from src/tests/operators/math/ceil/ceil_i32_test.cairo rename to src/tests/operators/tensor/math/ceil/ceil_i32_test.cairo diff --git a/src/tests/operators/math/ceil/ceil_u32_test.cairo b/src/tests/operators/tensor/math/ceil/ceil_u32_test.cairo similarity index 100% rename from src/tests/operators/math/ceil/ceil_u32_test.cairo rename to src/tests/operators/tensor/math/ceil/ceil_u32_test.cairo diff --git a/src/tests/operators/math/equal.cairo b/src/tests/operators/tensor/math/equal.cairo similarity index 100% rename from src/tests/operators/math/equal.cairo rename to src/tests/operators/tensor/math/equal.cairo diff --git a/src/tests/operators/math/equal/equal_fp_test.cairo b/src/tests/operators/tensor/math/equal/equal_fp_test.cairo similarity index 100% rename from src/tests/operators/math/equal/equal_fp_test.cairo rename to src/tests/operators/tensor/math/equal/equal_fp_test.cairo diff --git a/src/tests/operators/math/equal/equal_fp_test/equal_fp16x16_test.cairo b/src/tests/operators/tensor/math/equal/equal_fp_test/equal_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/math/equal/equal_fp_test/equal_fp16x16_test.cairo rename to src/tests/operators/tensor/math/equal/equal_fp_test/equal_fp16x16_test.cairo diff --git a/src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo b/src/tests/operators/tensor/math/equal/equal_fp_test/equal_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/math/equal/equal_fp_test/equal_fp8x23_test.cairo rename to src/tests/operators/tensor/math/equal/equal_fp_test/equal_fp8x23_test.cairo diff --git a/src/tests/operators/math/equal/equal_i32_test.cairo b/src/tests/operators/tensor/math/equal/equal_i32_test.cairo similarity index 100% rename from src/tests/operators/math/equal/equal_i32_test.cairo rename to src/tests/operators/tensor/math/equal/equal_i32_test.cairo diff --git a/src/tests/operators/math/equal/equal_u32_test.cairo b/src/tests/operators/tensor/math/equal/equal_u32_test.cairo similarity index 100% rename from src/tests/operators/math/equal/equal_u32_test.cairo rename to src/tests/operators/tensor/math/equal/equal_u32_test.cairo diff --git a/src/tests/operators/math/exp.cairo b/src/tests/operators/tensor/math/exp.cairo similarity index 100% rename from src/tests/operators/math/exp.cairo rename to src/tests/operators/tensor/math/exp.cairo diff --git a/src/tests/operators/math/exp/exp_fp_test.cairo b/src/tests/operators/tensor/math/exp/exp_fp_test.cairo similarity index 100% rename from src/tests/operators/math/exp/exp_fp_test.cairo rename to src/tests/operators/tensor/math/exp/exp_fp_test.cairo diff --git a/src/tests/operators/math/exp/exp_fp_test/exp_fp16x16_test.cairo b/src/tests/operators/tensor/math/exp/exp_fp_test/exp_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/math/exp/exp_fp_test/exp_fp16x16_test.cairo rename to src/tests/operators/tensor/math/exp/exp_fp_test/exp_fp16x16_test.cairo diff --git a/src/tests/operators/math/exp/exp_fp_test/exp_fp8x23_test.cairo b/src/tests/operators/tensor/math/exp/exp_fp_test/exp_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/math/exp/exp_fp_test/exp_fp8x23_test.cairo rename to src/tests/operators/tensor/math/exp/exp_fp_test/exp_fp8x23_test.cairo diff --git a/src/tests/operators/math/exp/exp_i32_test.cairo b/src/tests/operators/tensor/math/exp/exp_i32_test.cairo similarity index 100% rename from src/tests/operators/math/exp/exp_i32_test.cairo rename to src/tests/operators/tensor/math/exp/exp_i32_test.cairo diff --git a/src/tests/operators/math/exp/exp_u32_test.cairo b/src/tests/operators/tensor/math/exp/exp_u32_test.cairo similarity index 100% rename from src/tests/operators/math/exp/exp_u32_test.cairo rename to src/tests/operators/tensor/math/exp/exp_u32_test.cairo diff --git a/src/tests/operators/math/greater.cairo b/src/tests/operators/tensor/math/greater.cairo similarity index 100% rename from src/tests/operators/math/greater.cairo rename to src/tests/operators/tensor/math/greater.cairo diff --git a/src/tests/operators/math/greater/greater_fp_test.cairo b/src/tests/operators/tensor/math/greater/greater_fp_test.cairo similarity index 100% rename from src/tests/operators/math/greater/greater_fp_test.cairo rename to src/tests/operators/tensor/math/greater/greater_fp_test.cairo diff --git a/src/tests/operators/math/greater/greater_fp_test/greater_fp16x16_test.cairo b/src/tests/operators/tensor/math/greater/greater_fp_test/greater_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/math/greater/greater_fp_test/greater_fp16x16_test.cairo rename to src/tests/operators/tensor/math/greater/greater_fp_test/greater_fp16x16_test.cairo diff --git a/src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo b/src/tests/operators/tensor/math/greater/greater_fp_test/greater_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/math/greater/greater_fp_test/greater_fp8x23_test.cairo rename to src/tests/operators/tensor/math/greater/greater_fp_test/greater_fp8x23_test.cairo diff --git a/src/tests/operators/math/greater/greater_i32_test.cairo b/src/tests/operators/tensor/math/greater/greater_i32_test.cairo similarity index 100% rename from src/tests/operators/math/greater/greater_i32_test.cairo rename to src/tests/operators/tensor/math/greater/greater_i32_test.cairo diff --git a/src/tests/operators/math/greater/greater_u32_test.cairo b/src/tests/operators/tensor/math/greater/greater_u32_test.cairo similarity index 100% rename from src/tests/operators/math/greater/greater_u32_test.cairo rename to src/tests/operators/tensor/math/greater/greater_u32_test.cairo diff --git a/src/tests/operators/math/greater_equal.cairo b/src/tests/operators/tensor/math/greater_equal.cairo similarity index 100% rename from src/tests/operators/math/greater_equal.cairo rename to src/tests/operators/tensor/math/greater_equal.cairo diff --git a/src/tests/operators/math/greater_equal/greater_equal_fp_test.cairo b/src/tests/operators/tensor/math/greater_equal/greater_equal_fp_test.cairo similarity index 100% rename from src/tests/operators/math/greater_equal/greater_equal_fp_test.cairo rename to src/tests/operators/tensor/math/greater_equal/greater_equal_fp_test.cairo diff --git a/src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp16x16_test.cairo b/src/tests/operators/tensor/math/greater_equal/greater_equal_fp_test/greater_equal_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp16x16_test.cairo rename to src/tests/operators/tensor/math/greater_equal/greater_equal_fp_test/greater_equal_fp16x16_test.cairo diff --git a/src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo b/src/tests/operators/tensor/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo rename to src/tests/operators/tensor/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo diff --git a/src/tests/operators/math/greater_equal/greater_equal_i32_test.cairo b/src/tests/operators/tensor/math/greater_equal/greater_equal_i32_test.cairo similarity index 100% rename from src/tests/operators/math/greater_equal/greater_equal_i32_test.cairo rename to src/tests/operators/tensor/math/greater_equal/greater_equal_i32_test.cairo diff --git a/src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo b/src/tests/operators/tensor/math/greater_equal/greater_equal_u32_test.cairo similarity index 100% rename from src/tests/operators/math/greater_equal/greater_equal_u32_test.cairo rename to src/tests/operators/tensor/math/greater_equal/greater_equal_u32_test.cairo diff --git a/src/tests/operators/math/less.cairo b/src/tests/operators/tensor/math/less.cairo similarity index 100% rename from src/tests/operators/math/less.cairo rename to src/tests/operators/tensor/math/less.cairo diff --git a/src/tests/operators/math/less/less_fp_test.cairo b/src/tests/operators/tensor/math/less/less_fp_test.cairo similarity index 100% rename from src/tests/operators/math/less/less_fp_test.cairo rename to src/tests/operators/tensor/math/less/less_fp_test.cairo diff --git a/src/tests/operators/math/less/less_fp_test/less_fp16x16_test.cairo b/src/tests/operators/tensor/math/less/less_fp_test/less_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/math/less/less_fp_test/less_fp16x16_test.cairo rename to src/tests/operators/tensor/math/less/less_fp_test/less_fp16x16_test.cairo diff --git a/src/tests/operators/math/less/less_fp_test/less_fp8x23_test.cairo b/src/tests/operators/tensor/math/less/less_fp_test/less_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/math/less/less_fp_test/less_fp8x23_test.cairo rename to src/tests/operators/tensor/math/less/less_fp_test/less_fp8x23_test.cairo diff --git a/src/tests/operators/math/less/less_i32_test.cairo b/src/tests/operators/tensor/math/less/less_i32_test.cairo similarity index 100% rename from src/tests/operators/math/less/less_i32_test.cairo rename to src/tests/operators/tensor/math/less/less_i32_test.cairo diff --git a/src/tests/operators/math/less/less_u32_test.cairo b/src/tests/operators/tensor/math/less/less_u32_test.cairo similarity index 100% rename from src/tests/operators/math/less/less_u32_test.cairo rename to src/tests/operators/tensor/math/less/less_u32_test.cairo diff --git a/src/tests/operators/math/less_equal.cairo b/src/tests/operators/tensor/math/less_equal.cairo similarity index 100% rename from src/tests/operators/math/less_equal.cairo rename to src/tests/operators/tensor/math/less_equal.cairo diff --git a/src/tests/operators/math/less_equal/less_equal_fp_test.cairo b/src/tests/operators/tensor/math/less_equal/less_equal_fp_test.cairo similarity index 100% rename from src/tests/operators/math/less_equal/less_equal_fp_test.cairo rename to src/tests/operators/tensor/math/less_equal/less_equal_fp_test.cairo diff --git a/src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp16x16_test.cairo b/src/tests/operators/tensor/math/less_equal/less_equal_fp_test/less_equal_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp16x16_test.cairo rename to src/tests/operators/tensor/math/less_equal/less_equal_fp_test/less_equal_fp16x16_test.cairo diff --git a/src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo b/src/tests/operators/tensor/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo rename to src/tests/operators/tensor/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo diff --git a/src/tests/operators/math/less_equal/less_equal_i32_test.cairo b/src/tests/operators/tensor/math/less_equal/less_equal_i32_test.cairo similarity index 100% rename from src/tests/operators/math/less_equal/less_equal_i32_test.cairo rename to src/tests/operators/tensor/math/less_equal/less_equal_i32_test.cairo diff --git a/src/tests/operators/math/less_equal/less_equal_u32_test.cairo b/src/tests/operators/tensor/math/less_equal/less_equal_u32_test.cairo similarity index 100% rename from src/tests/operators/math/less_equal/less_equal_u32_test.cairo rename to src/tests/operators/tensor/math/less_equal/less_equal_u32_test.cairo diff --git a/src/tests/operators/math/ln.cairo b/src/tests/operators/tensor/math/ln.cairo similarity index 100% rename from src/tests/operators/math/ln.cairo rename to src/tests/operators/tensor/math/ln.cairo diff --git a/src/tests/operators/math/ln/ln_fp_test.cairo b/src/tests/operators/tensor/math/ln/ln_fp_test.cairo similarity index 100% rename from src/tests/operators/math/ln/ln_fp_test.cairo rename to src/tests/operators/tensor/math/ln/ln_fp_test.cairo diff --git a/src/tests/operators/math/ln/ln_fp_test/ln_fp16x16_test.cairo b/src/tests/operators/tensor/math/ln/ln_fp_test/ln_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/math/ln/ln_fp_test/ln_fp16x16_test.cairo rename to src/tests/operators/tensor/math/ln/ln_fp_test/ln_fp16x16_test.cairo diff --git a/src/tests/operators/math/ln/ln_fp_test/ln_fp8x23_test.cairo b/src/tests/operators/tensor/math/ln/ln_fp_test/ln_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/math/ln/ln_fp_test/ln_fp8x23_test.cairo rename to src/tests/operators/tensor/math/ln/ln_fp_test/ln_fp8x23_test.cairo diff --git a/src/tests/operators/math/ln/ln_i32_test.cairo b/src/tests/operators/tensor/math/ln/ln_i32_test.cairo similarity index 100% rename from src/tests/operators/math/ln/ln_i32_test.cairo rename to src/tests/operators/tensor/math/ln/ln_i32_test.cairo diff --git a/src/tests/operators/math/ln/ln_u32_test.cairo b/src/tests/operators/tensor/math/ln/ln_u32_test.cairo similarity index 100% rename from src/tests/operators/math/ln/ln_u32_test.cairo rename to src/tests/operators/tensor/math/ln/ln_u32_test.cairo diff --git a/src/tests/operators/math/max.cairo b/src/tests/operators/tensor/math/max.cairo similarity index 100% rename from src/tests/operators/math/max.cairo rename to src/tests/operators/tensor/math/max.cairo diff --git a/src/tests/operators/math/max/max_fp_test.cairo b/src/tests/operators/tensor/math/max/max_fp_test.cairo similarity index 100% rename from src/tests/operators/math/max/max_fp_test.cairo rename to src/tests/operators/tensor/math/max/max_fp_test.cairo diff --git a/src/tests/operators/math/max/max_fp_test/max_fp16x16_test.cairo b/src/tests/operators/tensor/math/max/max_fp_test/max_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/math/max/max_fp_test/max_fp16x16_test.cairo rename to src/tests/operators/tensor/math/max/max_fp_test/max_fp16x16_test.cairo diff --git a/src/tests/operators/math/max/max_fp_test/max_fp8x23_test.cairo b/src/tests/operators/tensor/math/max/max_fp_test/max_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/math/max/max_fp_test/max_fp8x23_test.cairo rename to src/tests/operators/tensor/math/max/max_fp_test/max_fp8x23_test.cairo diff --git a/src/tests/operators/math/max/max_i32_test.cairo b/src/tests/operators/tensor/math/max/max_i32_test.cairo similarity index 100% rename from src/tests/operators/math/max/max_i32_test.cairo rename to src/tests/operators/tensor/math/max/max_i32_test.cairo diff --git a/src/tests/operators/math/max/max_u32_test.cairo b/src/tests/operators/tensor/math/max/max_u32_test.cairo similarity index 100% rename from src/tests/operators/math/max/max_u32_test.cairo rename to src/tests/operators/tensor/math/max/max_u32_test.cairo diff --git a/src/tests/operators/math/min.cairo b/src/tests/operators/tensor/math/min.cairo similarity index 100% rename from src/tests/operators/math/min.cairo rename to src/tests/operators/tensor/math/min.cairo diff --git a/src/tests/operators/math/min/min_fp_test.cairo b/src/tests/operators/tensor/math/min/min_fp_test.cairo similarity index 100% rename from src/tests/operators/math/min/min_fp_test.cairo rename to src/tests/operators/tensor/math/min/min_fp_test.cairo diff --git a/src/tests/operators/math/min/min_fp_test/min_fp16x16_test.cairo b/src/tests/operators/tensor/math/min/min_fp_test/min_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/math/min/min_fp_test/min_fp16x16_test.cairo rename to src/tests/operators/tensor/math/min/min_fp_test/min_fp16x16_test.cairo diff --git a/src/tests/operators/math/min/min_fp_test/min_fp8x23_test.cairo b/src/tests/operators/tensor/math/min/min_fp_test/min_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/math/min/min_fp_test/min_fp8x23_test.cairo rename to src/tests/operators/tensor/math/min/min_fp_test/min_fp8x23_test.cairo diff --git a/src/tests/operators/math/min/min_i32_test.cairo b/src/tests/operators/tensor/math/min/min_i32_test.cairo similarity index 100% rename from src/tests/operators/math/min/min_i32_test.cairo rename to src/tests/operators/tensor/math/min/min_i32_test.cairo diff --git a/src/tests/operators/math/min/min_u32_test.cairo b/src/tests/operators/tensor/math/min/min_u32_test.cairo similarity index 100% rename from src/tests/operators/math/min/min_u32_test.cairo rename to src/tests/operators/tensor/math/min/min_u32_test.cairo diff --git a/src/tests/operators/math/reduce_sum.cairo b/src/tests/operators/tensor/math/reduce_sum.cairo similarity index 100% rename from src/tests/operators/math/reduce_sum.cairo rename to src/tests/operators/tensor/math/reduce_sum.cairo diff --git a/src/tests/operators/math/reduce_sum/reduce_sum_fp_test.cairo b/src/tests/operators/tensor/math/reduce_sum/reduce_sum_fp_test.cairo similarity index 100% rename from src/tests/operators/math/reduce_sum/reduce_sum_fp_test.cairo rename to src/tests/operators/tensor/math/reduce_sum/reduce_sum_fp_test.cairo diff --git a/src/tests/operators/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp16x16_test.cairo b/src/tests/operators/tensor/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp16x16_test.cairo similarity index 100% rename from src/tests/operators/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp16x16_test.cairo rename to src/tests/operators/tensor/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp16x16_test.cairo diff --git a/src/tests/operators/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp8x23_test.cairo b/src/tests/operators/tensor/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp8x23_test.cairo similarity index 100% rename from src/tests/operators/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp8x23_test.cairo rename to src/tests/operators/tensor/math/reduce_sum/reduce_sum_fp_test/reduce_sum_fp8x23_test.cairo diff --git a/src/tests/operators/math/reduce_sum/reduce_sum_i32_test.cairo b/src/tests/operators/tensor/math/reduce_sum/reduce_sum_i32_test.cairo similarity index 100% rename from src/tests/operators/math/reduce_sum/reduce_sum_i32_test.cairo rename to src/tests/operators/tensor/math/reduce_sum/reduce_sum_i32_test.cairo diff --git a/src/tests/operators/math/reduce_sum/reduce_sum_u32_test.cairo b/src/tests/operators/tensor/math/reduce_sum/reduce_sum_u32_test.cairo similarity index 100% rename from src/tests/operators/math/reduce_sum/reduce_sum_u32_test.cairo rename to src/tests/operators/tensor/math/reduce_sum/reduce_sum_u32_test.cairo From c0009e9588436d0e7fb68fdf258121dcc45b0e4f Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 15:19:32 +0300 Subject: [PATCH 034/126] refactor tensor at tests --- src/tests/operators/tensor.cairo | 3 +- src/tests/operators/tensor/core.cairo | 1 + src/tests/operators/tensor/core/at.cairo | 3 + .../operators/tensor/core/at/at_fp_test.cairo | 2 + .../core/at/at_fp_test/at_fp16x16_test.cairo | 77 +++++++++++++++++++ .../core/at/at_fp_test/at_fp8x23_test.cairo | 77 +++++++++++++++++++ .../tensor/core/at/at_i32_test.cairo | 73 ++++++++++++++++++ .../tensor/core/at/at_u32_test.cairo | 73 ++++++++++++++++++ 8 files changed, 308 insertions(+), 1 deletion(-) create mode 100644 src/tests/operators/tensor/core.cairo create mode 100644 src/tests/operators/tensor/core/at.cairo create mode 100644 src/tests/operators/tensor/core/at/at_fp_test.cairo create mode 100644 src/tests/operators/tensor/core/at/at_fp_test/at_fp16x16_test.cairo create mode 100644 src/tests/operators/tensor/core/at/at_fp_test/at_fp8x23_test.cairo create mode 100644 src/tests/operators/tensor/core/at/at_i32_test.cairo create mode 100644 src/tests/operators/tensor/core/at/at_u32_test.cairo diff --git a/src/tests/operators/tensor.cairo b/src/tests/operators/tensor.cairo index df3dfc814..4fe917d84 100644 --- a/src/tests/operators/tensor.cairo +++ b/src/tests/operators/tensor.cairo @@ -1,3 +1,4 @@ mod tensor_test; mod math; -mod linalg; \ No newline at end of file +mod linalg; +mod core; \ No newline at end of file diff --git a/src/tests/operators/tensor/core.cairo b/src/tests/operators/tensor/core.cairo new file mode 100644 index 000000000..29a18432a --- /dev/null +++ b/src/tests/operators/tensor/core.cairo @@ -0,0 +1 @@ +mod at; \ No newline at end of file diff --git a/src/tests/operators/tensor/core/at.cairo b/src/tests/operators/tensor/core/at.cairo new file mode 100644 index 000000000..bbb7ef326 --- /dev/null +++ b/src/tests/operators/tensor/core/at.cairo @@ -0,0 +1,3 @@ +mod at_u32_test; +mod at_i32_test; +mod at_fp_test; \ No newline at end of file diff --git a/src/tests/operators/tensor/core/at/at_fp_test.cairo b/src/tests/operators/tensor/core/at/at_fp_test.cairo new file mode 100644 index 000000000..6fc2ff192 --- /dev/null +++ b/src/tests/operators/tensor/core/at/at_fp_test.cairo @@ -0,0 +1,2 @@ +mod at_fp8x23_test; +mod at_fp16x16_test; \ No newline at end of file diff --git a/src/tests/operators/tensor/core/at/at_fp_test/at_fp16x16_test.cairo b/src/tests/operators/tensor/core/at/at_fp_test/at_fp16x16_test.cairo new file mode 100644 index 000000000..0a75cf5a3 --- /dev/null +++ b/src/tests/operators/tensor/core/at/at_fp_test/at_fp16x16_test.cairo @@ -0,0 +1,77 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::core::FixedTrait; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = fp_tensor_1x3_helper(); + let mut indices = ArrayTrait::new(); + indices.append(1); + + let result = tensor.at(indices.span()); + + assert(result == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::core::FixedTrait; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = fp_tensor_2x2_helper(); + + let mut indices = ArrayTrait::new(); + indices.append(1); + indices.append(1); + + let result = tensor.at(indices.span()); + + assert(result == FixedTrait::new_unscaled(3, false), 'result[4] = 3'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::core::FixedTrait; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = fp_tensor_2x2x2_helper(); + + let mut indices = ArrayTrait::new(); + indices.append(0); + indices.append(1); + indices.append(1); + + let result = tensor.at(indices.span()); + + assert(result == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + } +} diff --git a/src/tests/operators/tensor/core/at/at_fp_test/at_fp8x23_test.cairo b/src/tests/operators/tensor/core/at/at_fp_test/at_fp8x23_test.cairo new file mode 100644 index 000000000..dd0904bf6 --- /dev/null +++ b/src/tests/operators/tensor/core/at/at_fp_test/at_fp8x23_test.cairo @@ -0,0 +1,77 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::core::FixedTrait; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = fp_tensor_1x3_helper(); + let mut indices = ArrayTrait::new(); + indices.append(1); + + let result = tensor.at(indices.span()); + + assert(result == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::core::FixedTrait; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = fp_tensor_2x2_helper(); + + let mut indices = ArrayTrait::new(); + indices.append(1); + indices.append(1); + + let result = tensor.at(indices.span()); + + assert(result == FixedTrait::new_unscaled(3, false), 'result[4] = 3'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::core::FixedTrait; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = fp_tensor_2x2x2_helper(); + + let mut indices = ArrayTrait::new(); + indices.append(0); + indices.append(1); + indices.append(1); + + let result = tensor.at(indices.span()); + + assert(result == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + } +} diff --git a/src/tests/operators/tensor/core/at/at_i32_test.cairo b/src/tests/operators/tensor/core/at/at_i32_test.cairo new file mode 100644 index 000000000..2dd2d51ee --- /dev/null +++ b/src/tests/operators/tensor/core/at/at_i32_test.cairo @@ -0,0 +1,73 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = i32_tensor_1x3_helper(); + let mut indices = ArrayTrait::new(); + indices.append(1); + + let result = tensor.at(indices.span()).mag; + + assert(result == 1, 'result[2] = 1'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = i32_tensor_2x2_helper(); + + let mut indices = ArrayTrait::new(); + indices.append(1); + indices.append(1); + + let result = tensor.at(indices.span()).mag; + + assert(result == 3, 'result[4] = 3'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = i32_tensor_2x2x2_helper(); + + let mut indices = ArrayTrait::new(); + indices.append(0); + indices.append(1); + indices.append(1); + + let result = tensor.at(indices.span()).mag; + + assert(result == 3, 'result[3] = 3'); + } +} diff --git a/src/tests/operators/tensor/core/at/at_u32_test.cairo b/src/tests/operators/tensor/core/at/at_u32_test.cairo new file mode 100644 index 000000000..175fe1c63 --- /dev/null +++ b/src/tests/operators/tensor/core/at/at_u32_test.cairo @@ -0,0 +1,73 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = u32_tensor_1x3_helper(); + let mut indices = ArrayTrait::new(); + indices.append(1); + + let result = tensor.at(indices.span()); + + assert(result == 1, 'result[2] = 1'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = u32_tensor_2x2_helper(); + + let mut indices = ArrayTrait::new(); + indices.append(1); + indices.append(1); + + let result = tensor.at(indices.span()); + + assert(result == 3, 'result[4] = 3'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = u32_tensor_2x2x2_helper(); + + let mut indices = ArrayTrait::new(); + indices.append(0); + indices.append(1); + indices.append(1); + + let result = tensor.at(indices.span()); + + assert(result == 3, 'result[3] = 3'); + } +} From b8678073e3ad1209db32616c6f94a32a15fc9bca Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 16:03:36 +0300 Subject: [PATCH 035/126] refactor tensor stride tests --- src/tests/operators/tensor.cairo | 1 - src/tests/operators/tensor/core.cairo | 3 +- src/tests/operators/tensor/core/stride.cairo | 3 + .../tensor/core/stride/stride_fp_test.cairo | 2 + .../stride_fp_test/stride_fp16x16_test.cairo | 68 +++ .../stride_fp_test/stride_fp8x23_test.cairo | 68 +++ .../tensor/core/stride/stride_i32_test.cairo | 68 +++ .../tensor/core/stride/stride_u32_test.cairo | 68 +++ src/tests/operators/tensor/tensor_test.cairo | 550 ------------------ 9 files changed, 279 insertions(+), 552 deletions(-) create mode 100644 src/tests/operators/tensor/core/stride.cairo create mode 100644 src/tests/operators/tensor/core/stride/stride_fp_test.cairo create mode 100644 src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp16x16_test.cairo create mode 100644 src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp8x23_test.cairo create mode 100644 src/tests/operators/tensor/core/stride/stride_i32_test.cairo create mode 100644 src/tests/operators/tensor/core/stride/stride_u32_test.cairo delete mode 100644 src/tests/operators/tensor/tensor_test.cairo diff --git a/src/tests/operators/tensor.cairo b/src/tests/operators/tensor.cairo index 4fe917d84..18677472d 100644 --- a/src/tests/operators/tensor.cairo +++ b/src/tests/operators/tensor.cairo @@ -1,4 +1,3 @@ -mod tensor_test; mod math; mod linalg; mod core; \ No newline at end of file diff --git a/src/tests/operators/tensor/core.cairo b/src/tests/operators/tensor/core.cairo index 29a18432a..1b010a72f 100644 --- a/src/tests/operators/tensor/core.cairo +++ b/src/tests/operators/tensor/core.cairo @@ -1 +1,2 @@ -mod at; \ No newline at end of file +mod at; +mod stride; \ No newline at end of file diff --git a/src/tests/operators/tensor/core/stride.cairo b/src/tests/operators/tensor/core/stride.cairo new file mode 100644 index 000000000..385e7bf22 --- /dev/null +++ b/src/tests/operators/tensor/core/stride.cairo @@ -0,0 +1,3 @@ +mod stride_u32_test; +mod stride_i32_test; +mod stride_fp_test; \ No newline at end of file diff --git a/src/tests/operators/tensor/core/stride/stride_fp_test.cairo b/src/tests/operators/tensor/core/stride/stride_fp_test.cairo new file mode 100644 index 000000000..f9a50da68 --- /dev/null +++ b/src/tests/operators/tensor/core/stride/stride_fp_test.cairo @@ -0,0 +1,2 @@ +mod stride_fp8x23_test; +mod stride_fp16x16_test; \ No newline at end of file diff --git a/src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp16x16_test.cairo b/src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp16x16_test.cairo new file mode 100644 index 000000000..f1fec401e --- /dev/null +++ b/src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp16x16_test.cairo @@ -0,0 +1,68 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_stride() { + let tensor = fp_tensor_1x3_helper(); + let result = tensor.stride(); + assert(*result.at(0) == 1, 'stride x = 1'); + assert(result.len() == 1, 'len = 1'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_stride() { + let tensor = fp_tensor_2x2_helper(); + let result = tensor.stride(); + assert(*result.at(0) == 2, 'stride x = 2'); + assert(*result.at(1) == 1, 'stride y = 1'); + assert(result.len() == 2, 'len = 2'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_stride() { + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.stride(); + assert(*result.at(0) == 4, 'stride x = 4'); + assert(*result.at(1) == 2, 'stride y = 2'); + assert(*result.at(2) == 1, 'stride z = 1'); + assert(result.len() == 3, 'len = 3'); + } +} diff --git a/src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp8x23_test.cairo b/src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp8x23_test.cairo new file mode 100644 index 000000000..a7a7d670a --- /dev/null +++ b/src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp8x23_test.cairo @@ -0,0 +1,68 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_stride() { + let tensor = fp_tensor_1x3_helper(); + let result = tensor.stride(); + assert(*result.at(0) == 1, 'stride x = 1'); + assert(result.len() == 1, 'len = 1'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_stride() { + let tensor = fp_tensor_2x2_helper(); + let result = tensor.stride(); + assert(*result.at(0) == 2, 'stride x = 2'); + assert(*result.at(1) == 1, 'stride y = 1'); + assert(result.len() == 2, 'len = 2'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_stride() { + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.stride(); + assert(*result.at(0) == 4, 'stride x = 4'); + assert(*result.at(1) == 2, 'stride y = 2'); + assert(*result.at(2) == 1, 'stride z = 1'); + assert(result.len() == 3, 'len = 3'); + } +} diff --git a/src/tests/operators/tensor/core/stride/stride_i32_test.cairo b/src/tests/operators/tensor/core/stride/stride_i32_test.cairo new file mode 100644 index 000000000..b9d7b4b6e --- /dev/null +++ b/src/tests/operators/tensor/core/stride/stride_i32_test.cairo @@ -0,0 +1,68 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_stride() { + let tensor = i32_tensor_1x3_helper(); + let result = tensor.stride(); + assert(*result.at(0) == 1, 'stride x = 1'); + assert(result.len() == 1, 'len = 1'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = i32_tensor_2x2_helper(); + let result = tensor.stride(); + assert(*result.at(0) == 2, 'stride x = 2'); + assert(*result.at(1) == 1, 'stride y = 1'); + assert(result.len() == 2, 'len = 2'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.stride(); + assert(*result.at(0) == 4, 'stride x = 4'); + assert(*result.at(1) == 2, 'stride y = 2'); + assert(*result.at(2) == 1, 'stride z = 1'); + assert(result.len() == 3, 'len = 3'); + } +} diff --git a/src/tests/operators/tensor/core/stride/stride_u32_test.cairo b/src/tests/operators/tensor/core/stride/stride_u32_test.cairo new file mode 100644 index 000000000..5fb0607ba --- /dev/null +++ b/src/tests/operators/tensor/core/stride/stride_u32_test.cairo @@ -0,0 +1,68 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_stride() { + let tensor = u32_tensor_1x3_helper(); + let result = tensor.stride(); + assert(*result.at(0) == 1, 'stride x = 1'); + assert(result.len() == 1, 'len = 1'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = u32_tensor_2x2_helper(); + let result = tensor.stride(); + assert(*result.at(0) == 2, 'stride x = 2'); + assert(*result.at(1) == 1, 'stride y = 1'); + assert(result.len() == 2, 'len = 2'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.stride(); + assert(*result.at(0) == 4, 'stride x = 4'); + assert(*result.at(1) == 2, 'stride y = 2'); + assert(*result.at(2) == 1, 'stride z = 1'); + assert(result.len() == 3, 'len = 3'); + } +} diff --git a/src/tests/operators/tensor/tensor_test.cairo b/src/tests/operators/tensor/tensor_test.cairo deleted file mode 100644 index 9299dc2d2..000000000 --- a/src/tests/operators/tensor/tensor_test.cairo +++ /dev/null @@ -1,550 +0,0 @@ -use array::ArrayTrait; -use array::SpanTrait; -use traits::Into; - -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::tensor::implementations::impl_tensor_i32::{ - Tensor_i32, i32TensorAdd, i32TensorSub, i32TensorMul, i32TensorDiv -}; -use orion::operators::tensor::core::{TensorTrait, ExtraParams, ravel_index, unravel_index}; -use orion::tests::helpers::tensor::i32::{ - i32_tensor_2x2_helper, i32_tensor_3x2_helper, i32_tensor_2x3_helper, i32_tensor_2x2x2_helper, - i32_tensor_3x2x2_helper -}; - -#[test] -#[available_gas(2000000)] -#[should_panic] -fn wrong_shape_tensor_test() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); - - let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0, false)); - data.append(IntegerTrait::new(1, false)); - data.append(IntegerTrait::new(2, false)); - - let extra = Option::::None(()); - - let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); -} - -#[test] -#[available_gas(2000000)] -fn at_tensor_test() { - let tensor = i32_tensor_2x2x2_helper(); - - let mut indices = ArrayTrait::new(); - indices.append(0); - indices.append(1); - indices.append(1); - - let result = tensor.at(indices.span()).mag; - - assert(result == 3, 'result[3] = 3'); -} - -#[test] -#[available_gas(2000000)] -fn stride_test() { - let tensor = i32_tensor_2x2x2_helper(); - let result = tensor.stride(); - assert(*result.at(0) == 4, 'stride x = 4'); - assert(*result.at(1) == 2, 'stride y = 2'); - assert(*result.at(2) == 1, 'stride z = 1'); -} - -#[test] -#[available_gas(2000000)] -fn ravel_index_test() { - // 1D - let mut shape = ArrayTrait::new(); - shape.append(5); - let mut indices = ArrayTrait::new(); - indices.append(2); - let result = ravel_index(shape.span(), indices.span()); - assert(result == 2, 'result = 2'); - - // 2D - let mut shape = ArrayTrait::new(); - shape.append(2); - shape.append(4); - let mut indices = ArrayTrait::new(); - indices.append(1); - indices.append(2); - let result = ravel_index(shape.span(), indices.span()); - assert(result == 6, 'result = 6'); - - // 3D - let mut shape = ArrayTrait::new(); - shape.append(2); - shape.append(4); - shape.append(6); - let mut indices = ArrayTrait::new(); - indices.append(1); - indices.append(3); - indices.append(0); - let result = ravel_index(shape.span(), indices.span()); - assert(result == 42, 'result = 42'); - - // 4D - let mut shape = ArrayTrait::new(); - shape.append(2); - shape.append(4); - shape.append(6); - shape.append(8); - let mut indices = ArrayTrait::new(); - indices.append(0); - indices.append(2); - indices.append(5); - indices.append(6); - let result = ravel_index(shape.span(), indices.span()); - assert(result == 142, 'result = 142'); -} - -#[test] -#[available_gas(2000000)] -fn unravel_index_test() { - // 1D - let mut shape = ArrayTrait::new(); - shape.append(5); - let result = unravel_index(2, shape.span()); - assert(*result.at(0) == 2, 'result[0] = 2'); - - // 2D - let mut shape = ArrayTrait::new(); - shape.append(2); - shape.append(4); - let result = unravel_index(6, shape.span()); - assert(*result.at(0) == 1, 'result[0] = 1'); - assert(*result.at(1) == 2, 'result[1] = 2'); - - // 3D - let mut shape = ArrayTrait::new(); - shape.append(2); - shape.append(4); - shape.append(6); - let result = unravel_index(42, shape.span()); - assert(*result.at(0) == 1, 'result[0] = 1'); - assert(*result.at(1) == 3, 'result[1] = 3'); - assert(*result.at(2) == 0, 'result[2] = 0'); - - // 4D - let mut shape = ArrayTrait::new(); - shape.append(2); - shape.append(4); - shape.append(6); - shape.append(8); - let result = unravel_index(142, shape.span()); - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 2, 'result[1] = 2'); - assert(*result.at(2) == 5, 'result[2] = 5'); - assert(*result.at(3) == 6, 'result[3] = 6'); -} - -#[test] -#[available_gas(20000000)] -fn add_tensor() { - let tensor_1 = i32_tensor_2x2x2_helper(); - let tensor_2 = i32_tensor_2x2x2_helper(); - - let result = (tensor_1 + tensor_2).data; - - assert((*result[0]).into() == 0, 'result[0] = 0'); - assert((*result[1]).into() == 2, 'result[1] = 2'); - assert((*result[2]).into() == 4, 'result[2] = 4'); - assert((*result[3]).into() == 6, 'result[3] = 6'); - assert((*result[4]).into() == 8, 'result[4] = 8'); - assert((*result[5]).into() == 10, 'result[5] = 10'); - assert((*result[6]).into() == 12, 'result[6] = 12'); - assert((*result[7]).into() == 14, 'result[7] = 14'); - - // broadcast operation - - let mut sizes = ArrayTrait::new(); - sizes.append(1); - sizes.append(2); - sizes.append(1); - let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(10, false)); - data.append(IntegerTrait::new(100, false)); - let extra = Option::::None(()); - let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); - - let result = (tensor_1 + tensor_2).data; - - assert((*result[0]).into() == 10, 'result[0] = 10'); - assert((*result[1]).into() == 11, 'result[1] = 11'); - assert((*result[2]).into() == 102, 'result[2] = 102'); - assert((*result[3]).into() == 103, 'result[3] = 103'); - assert((*result[4]).into() == 14, 'result[4] = 14'); - assert((*result[5]).into() == 15, 'result[5] = 15'); - assert((*result[6]).into() == 106, 'result[6] = 106'); - assert((*result[7]).into() == 107, 'result[7] = 107'); - - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(1); - sizes.append(1); - let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(10, false)); - data.append(IntegerTrait::new(100, false)); - let extra = Option::::None(()); - let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); - - let result = (tensor_1 + tensor_2).data; - - assert((*result[0]).into() == 10, 'result[0] = 10'); - assert((*result[1]).into() == 11, 'result[1] = 11'); - assert((*result[2]).into() == 12, 'result[2] = 12'); - assert((*result[3]).into() == 13, 'result[3] = 13'); - assert((*result[4]).into() == 104, 'result[4] = 104'); - assert((*result[5]).into() == 105, 'result[5] = 105'); - assert((*result[6]).into() == 106, 'result[6] = 106'); - assert((*result[7]).into() == 107, 'result[7] = 107'); - - let mut sizes = ArrayTrait::new(); - sizes.append(1); - sizes.append(1); - sizes.append(2); - let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(10, false)); - data.append(IntegerTrait::new(100, false)); - let extra = Option::::None(()); - let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); - - let result = (tensor_1 + tensor_2).data; - - assert((*result[0]).into() == 10, 'result[0] = 10'); - assert((*result[1]).into() == 101, 'result[1] = 101'); - assert((*result[2]).into() == 12, 'result[2] = 12'); - assert((*result[3]).into() == 103, 'result[3] = 103'); - assert((*result[4]).into() == 14, 'result[4] = 14'); - assert((*result[5]).into() == 105, 'result[5] = 105'); - assert((*result[6]).into() == 16, 'result[6] = 16'); - assert((*result[7]).into() == 107, 'result[7] = 107'); -} - -#[test] -#[available_gas(200000000)] -fn sub_tensor() { - let tensor_1 = i32_tensor_2x2x2_helper(); - let tensor_2 = i32_tensor_2x2x2_helper(); - - let result = (tensor_1 - tensor_2).data; - - assert((*result[0]).into() == 0, 'result[0] = 0'); - assert((*result[1]).into() == 0, 'result[1] = 0'); - assert((*result[2]).into() == 0, 'result[2] = 0'); - assert((*result[3]).into() == 0, 'result[3] = 0'); - assert((*result[4]).into() == 0, 'result[4] = 0'); - assert((*result[5]).into() == 0, 'result[5] = 0'); - assert((*result[6]).into() == 0, 'result[6] = 0'); - assert((*result[7]).into() == 0, 'result[7] = 0'); - - // broadcast operation - - let mut sizes = ArrayTrait::new(); - sizes.append(1); - sizes.append(2); - sizes.append(1); - let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(0, false)); - data.append(IntegerTrait::new(1, false)); - let extra = Option::::None(()); - let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); - - let result = (tensor_1 - tensor_2).data; - - assert((*result[0]).into() == 0, 'result[0] = 0'); - assert((*result[1]).into() == 1, 'result[1] = 1'); - assert((*result[2]).into() == 1, 'result[2] = 1'); - assert((*result[3]).into() == 2, 'result[3] = 2'); - assert((*result[4]).into() == 4, 'result[4] = 4'); - assert((*result[5]).into() == 5, 'result[5] = 5'); - assert((*result[6]).into() == 5, 'result[6] = 5'); - assert((*result[7]).into() == 6, 'result[7] = 6'); -} - -#[test] -#[available_gas(20000000)] -fn mul_tensor() { - let tensor_1 = i32_tensor_2x2x2_helper(); - let tensor_2 = i32_tensor_2x2x2_helper(); - - let result = (tensor_1 * tensor_2).data; - - assert((*result[0]).into() == 0, 'result[0] = 0'); - assert((*result[1]).into() == 1, 'result[1] = 1'); - assert((*result[2]).into() == 4, 'result[2] = 4'); - assert((*result[3]).into() == 9, 'result[3] = 9'); - assert((*result[4]).into() == 16, 'result[4] = 16'); - assert((*result[5]).into() == 25, 'result[5] = 25'); - assert((*result[6]).into() == 36, 'result[6] = 36'); - assert((*result[7]).into() == 49, 'result[7] = 49'); - - // broadcast operation - - let mut sizes = ArrayTrait::new(); - sizes.append(1); - sizes.append(2); - sizes.append(1); - let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(10, false)); - data.append(IntegerTrait::new(100, false)); - let extra = Option::::None(()); - let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); - - let result = (tensor_1 * tensor_2).data; - - assert((*result[0]).into() == 0, 'result[0] = 0'); - assert((*result[1]).into() == 10, 'result[1] = 10'); - assert((*result[2]).into() == 200, 'result[2] = 200'); - assert((*result[3]).into() == 300, 'result[3] = 300'); - assert((*result[4]).into() == 40, 'result[4] = 40'); - assert((*result[5]).into() == 50, 'result[5] = 50'); - assert((*result[6]).into() == 600, 'result[6] = 600'); - assert((*result[7]).into() == 700, 'result[7] = 700'); -} - -#[test] -#[available_gas(20000000)] -fn div_tensor() { - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); - let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(100, false)); - data.append(IntegerTrait::new(200, false)); - data.append(IntegerTrait::new(300, false)); - data.append(IntegerTrait::new(400, false)); - data.append(IntegerTrait::new(500, false)); - data.append(IntegerTrait::new(600, false)); - data.append(IntegerTrait::new(700, false)); - data.append(IntegerTrait::new(800, false)); - let extra = Option::::None(()); - let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); - - let mut sizes = ArrayTrait::new(); - sizes.append(2); - sizes.append(2); - sizes.append(2); - let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(100, false)); - data.append(IntegerTrait::new(200, false)); - data.append(IntegerTrait::new(300, false)); - data.append(IntegerTrait::new(400, false)); - data.append(IntegerTrait::new(500, false)); - data.append(IntegerTrait::new(600, false)); - data.append(IntegerTrait::new(700, false)); - data.append(IntegerTrait::new(800, false)); - let extra = Option::::None(()); - let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); - - let result = (tensor_1 / tensor_2).data; - - assert((*result[0]).into() == 1, 'result[0] = 1'); - assert((*result[1]).into() == 1, 'result[1] = 1'); - assert((*result[2]).into() == 1, 'result[2] = 1'); - assert((*result[3]).into() == 1, 'result[3] = 1'); - assert((*result[4]).into() == 1, 'result[4] = 1'); - assert((*result[5]).into() == 1, 'result[5] = 1'); - assert((*result[6]).into() == 1, 'result[6] = 1'); - assert((*result[7]).into() == 1, 'result[7] = 1'); - - // broadcast operation - - let mut sizes = ArrayTrait::new(); - sizes.append(1); - sizes.append(2); - sizes.append(1); - let mut data = ArrayTrait::new(); - data.append(IntegerTrait::new(10, false)); - data.append(IntegerTrait::new(100, false)); - let extra = Option::::None(()); - let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); - - let result = (tensor_1 / tensor_2).data; - - assert((*result[0]).into() == 10, 'result[0] = 10'); - assert((*result[1]).into() == 20, 'result[1] = 20'); - assert((*result[2]).into() == 3, 'result[2] = 3'); - assert((*result[3]).into() == 4, 'result[3] = 4'); - assert((*result[4]).into() == 50, 'result[4] = 50'); - assert((*result[5]).into() == 60, 'result[5] = 60'); - assert((*result[6]).into() == 7, 'result[6] = 7'); - assert((*result[7]).into() == 8, 'result[7] = 8'); -} - -#[test] -#[available_gas(200000000)] -fn tensor_transpose_2D() { - let mut axes: Array = ArrayTrait::new(); - axes.append(1); - axes.append(0); - - let tensor = i32_tensor_2x2_helper(); - - let result = tensor.transpose(axes.span()); - - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[1]).into() == 2, 'result[1] = 2'); - assert((*result.data[2]).into() == 1, 'result[2] = 1'); - assert((*result.data[3]).into() == 3, 'result[3] = 3'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); - - let tensor = i32_tensor_3x2_helper(); - - let result = tensor.transpose(axes.span()); - - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[1]).into() == 2, 'result[1] = 2'); - assert((*result.data[2]).into() == 4, 'result[2] = 4'); - assert((*result.data[3]).into() == 1, 'result[3] = 1'); - assert((*result.data[4]).into() == 3, 'result[4] = 3'); - assert((*result.data[5]).into() == 5, 'result[5] = 5'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 3, 'shape[1] = 3'); - - let tensor = i32_tensor_2x3_helper(); - - let result = tensor.transpose(axes.span()); - - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[1]).into() == 3, 'result[1] = 3'); - assert((*result.data[2]).into() == 1, 'result[2] = 1'); - assert((*result.data[3]).into() == 4, 'result[3] = 4'); - assert((*result.data[4]).into() == 2, 'result[4] = 2'); - assert((*result.data[5]).into() == 5, 'result[5] = 5'); - assert(*result.shape.at(0) == 3, 'shape[0] = 3'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); -} - -#[test] -#[available_gas(200000000)] -fn tensor_transpose_3D() { - let tensor = i32_tensor_2x2x2_helper(); - - let mut axes: Array = ArrayTrait::new(); - axes.append(1); - axes.append(2); - axes.append(0); - - let result = tensor.transpose(axes.span()).data; - - assert((*result[0]).into() == 0, 'result[0] = 0'); - assert((*result[1]).into() == 4, 'result[1] = 4'); - assert((*result[2]).into() == 1, 'result[2] = 1'); - assert((*result[3]).into() == 5, 'result[3] = 5'); - assert((*result[4]).into() == 2, 'result[4] = 2'); - assert((*result[5]).into() == 6, 'result[5] = 6'); - assert((*result[6]).into() == 3, 'result[6] = 3'); - assert((*result[7]).into() == 7, 'result[7] = 7'); - - let mut axes: Array = ArrayTrait::new(); - axes.append(2); - axes.append(1); - axes.append(0); - - let result = tensor.transpose(axes.span()).data; - - assert((*result[0]).into() == 0, 'result[0] = 0'); - assert((*result[1]).into() == 4, 'result[1] = 4'); - assert((*result[2]).into() == 2, 'result[2] = 2'); - assert((*result[3]).into() == 6, 'result[3] = 6'); - assert((*result[4]).into() == 1, 'result[4] = 1'); - assert((*result[5]).into() == 5, 'result[5] = 5'); - assert((*result[6]).into() == 3, 'result[6] = 3'); - assert((*result[7]).into() == 7, 'result[7] = 7'); - - let mut axes: Array = ArrayTrait::new(); - axes.append(0); - axes.append(2); - axes.append(1); - - let result = tensor.transpose(axes.span()).data; - - assert((*result[0]).into() == 0, 'result[0] = 0'); - assert((*result[1]).into() == 2, 'result[1] = 2'); - assert((*result[2]).into() == 1, 'result[2] = 1'); - assert((*result[3]).into() == 3, 'result[3] = 3'); - assert((*result[4]).into() == 4, 'result[4] = 4'); - assert((*result[5]).into() == 6, 'result[5] = 6'); - assert((*result[6]).into() == 5, 'result[6] = 5'); - assert((*result[7]).into() == 7, 'result[7] = 7'); - - let tensor = i32_tensor_3x2x2_helper(); - - let mut axes: Array = ArrayTrait::new(); - axes.append(1); - axes.append(2); - axes.append(0); - - let result = tensor.transpose(axes.span()); - - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[1]).into() == 4, 'result[1] = 4'); - assert((*result.data[2]).into() == 8, 'result[2] = 8'); - assert((*result.data[3]).into() == 1, 'result[3] = 1'); - assert((*result.data[4]).into() == 5, 'result[4] = 5'); - assert((*result.data[5]).into() == 9, 'result[5] = 9'); - assert((*result.data[6]).into() == 2, 'result[6] = 2'); - assert((*result.data[7]).into() == 6, 'result[7] = 6'); - assert((*result.data[8]).into() == 10, 'result[7] = 10'); - assert((*result.data[9]).into() == 3, 'result[7] = 3'); - assert((*result.data[10]).into() == 7, 'result[7] = 7'); - assert((*result.data[11]).into() == 11, 'result[7] = 11'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); - assert(*result.shape.at(2) == 3, 'shape[2] = 3'); - - let mut axes: Array = ArrayTrait::new(); - axes.append(2); - axes.append(1); - axes.append(0); - - let result = tensor.transpose(axes.span()); - - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[1]).into() == 4, 'result[1] = 4'); - assert((*result.data[2]).into() == 8, 'result[2] = 8'); - assert((*result.data[3]).into() == 2, 'result[3] = 2'); - assert((*result.data[4]).into() == 6, 'result[4] = 6'); - assert((*result.data[5]).into() == 10, 'result[5] = 10'); - assert((*result.data[6]).into() == 1, 'result[6] = 1'); - assert((*result.data[7]).into() == 5, 'result[7] = 5'); - assert((*result.data[8]).into() == 9, 'result[7] = 9'); - assert((*result.data[9]).into() == 3, 'result[7] = 3'); - assert((*result.data[10]).into() == 7, 'result[7] = 7'); - assert((*result.data[11]).into() == 11, 'result[7] = 11'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); - assert(*result.shape.at(2) == 3, 'shape[2] = 3'); - - let mut axes: Array = ArrayTrait::new(); - axes.append(0); - axes.append(2); - axes.append(1); - - let result = tensor.transpose(axes.span()); - - assert((*result.data[0]).into() == 0, 'result[0] = 0'); - assert((*result.data[1]).into() == 2, 'result[1] = 2'); - assert((*result.data[2]).into() == 1, 'result[2] = 1'); - assert((*result.data[3]).into() == 3, 'result[3] = 3'); - assert((*result.data[4]).into() == 4, 'result[4] = 4'); - assert((*result.data[5]).into() == 6, 'result[5] = 6'); - assert((*result.data[6]).into() == 5, 'result[6] = 5'); - assert((*result.data[7]).into() == 7, 'result[7] = 7'); - assert((*result.data[8]).into() == 8, 'result[7] = 8'); - assert((*result.data[9]).into() == 10, 'result[7] = 10'); - assert((*result.data[10]).into() == 9, 'result[7] = 9'); - assert((*result.data[11]).into() == 11, 'result[7] = 11'); - assert(*result.shape.at(0) == 3, 'shape[0] = 3'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); - assert(*result.shape.at(2) == 2, 'shape[2] = 2'); -} From 9241833314bb827ec27b35e06c0b69824d38f089 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 16:09:52 +0300 Subject: [PATCH 036/126] refactor ravel_index tests --- src/tests/operators/tensor/core.cairo | 3 +- .../operators/tensor/core/ravel_index.cairo | 63 +++++++++++++++++++ 2 files changed, 65 insertions(+), 1 deletion(-) create mode 100644 src/tests/operators/tensor/core/ravel_index.cairo diff --git a/src/tests/operators/tensor/core.cairo b/src/tests/operators/tensor/core.cairo index 1b010a72f..1807b6364 100644 --- a/src/tests/operators/tensor/core.cairo +++ b/src/tests/operators/tensor/core.cairo @@ -1,2 +1,3 @@ mod at; -mod stride; \ No newline at end of file +mod stride; +mod ravel_index; \ No newline at end of file diff --git a/src/tests/operators/tensor/core/ravel_index.cairo b/src/tests/operators/tensor/core/ravel_index.cairo new file mode 100644 index 000000000..dec634507 --- /dev/null +++ b/src/tests/operators/tensor/core/ravel_index.cairo @@ -0,0 +1,63 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use orion::operators::tensor::core::{ravel_index}; + + #[test] + #[available_gas(2000000)] + fn tensor_ravel_index() { + let mut shape = ArrayTrait::new(); + shape.append(5); + let mut indices = ArrayTrait::new(); + indices.append(2); + let result = ravel_index(shape.span(), indices.span()); + assert(result == 2, 'result = 2'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use orion::operators::tensor::core::{ravel_index}; + + #[test] + #[available_gas(2000000)] + fn tensor_ravel_index() { + let mut shape = ArrayTrait::new(); + shape.append(2); + shape.append(4); + let mut indices = ArrayTrait::new(); + indices.append(1); + indices.append(2); + let result = ravel_index(shape.span(), indices.span()); + assert(result == 6, 'result = 6'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use orion::operators::tensor::core::{ravel_index}; + + + #[test] + #[available_gas(2000000)] + fn tensor_at() { + let mut shape = ArrayTrait::new(); + shape.append(2); + shape.append(4); + shape.append(6); + let mut indices = ArrayTrait::new(); + indices.append(1); + indices.append(3); + indices.append(0); + let result = ravel_index(shape.span(), indices.span()); + assert(result == 42, 'result = 42'); + } +} From 93dbb4409339c0e13ac61c330213b1495851e499 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 16:12:50 +0300 Subject: [PATCH 037/126] refactor unravel_index tests --- src/tests/operators/tensor/core.cairo | 3 +- .../operators/tensor/core/ravel_index.cairo | 2 +- .../operators/tensor/core/unravel_index.cairo | 63 +++++++++++++++++++ 3 files changed, 66 insertions(+), 2 deletions(-) create mode 100644 src/tests/operators/tensor/core/unravel_index.cairo diff --git a/src/tests/operators/tensor/core.cairo b/src/tests/operators/tensor/core.cairo index 1807b6364..113893d9c 100644 --- a/src/tests/operators/tensor/core.cairo +++ b/src/tests/operators/tensor/core.cairo @@ -1,3 +1,4 @@ mod at; mod stride; -mod ravel_index; \ No newline at end of file +mod ravel_index; +mod unravel_index; \ No newline at end of file diff --git a/src/tests/operators/tensor/core/ravel_index.cairo b/src/tests/operators/tensor/core/ravel_index.cairo index dec634507..caeb9046e 100644 --- a/src/tests/operators/tensor/core/ravel_index.cairo +++ b/src/tests/operators/tensor/core/ravel_index.cairo @@ -48,7 +48,7 @@ mod tensor_3D { #[test] #[available_gas(2000000)] - fn tensor_at() { + fn tensor_ravel_index() { let mut shape = ArrayTrait::new(); shape.append(2); shape.append(4); diff --git a/src/tests/operators/tensor/core/unravel_index.cairo b/src/tests/operators/tensor/core/unravel_index.cairo new file mode 100644 index 000000000..27a8ee9c8 --- /dev/null +++ b/src/tests/operators/tensor/core/unravel_index.cairo @@ -0,0 +1,63 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{unravel_index}; + + #[test] + #[available_gas(2000000)] + fn tensor_unravel_index() { + let mut shape = ArrayTrait::new(); + shape.append(5); + let result = unravel_index(2, shape.span()); + assert(*result.at(0) == 2, 'result[0] = 2'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{unravel_index}; + + #[test] + #[available_gas(2000000)] + fn tensor_unravel_index() { + let mut shape = ArrayTrait::new(); + shape.append(2); + shape.append(4); + let result = unravel_index(6, shape.span()); + assert(*result.at(0) == 1, 'result[0] = 1'); + assert(*result.at(1) == 2, 'result[1] = 2'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{unravel_index}; + + + #[test] + #[available_gas(2000000)] + fn tensor_unravel_index() { + let mut shape = ArrayTrait::new(); + shape.append(2); + shape.append(4); + shape.append(6); + let result = unravel_index(42, shape.span()); + assert(*result.at(0) == 1, 'result[0] = 1'); + assert(*result.at(1) == 3, 'result[1] = 3'); + assert(*result.at(2) == 0, 'result[2] = 0'); + } +} From 532220e7fe596093a15a22c386780dc794b0e3ca Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 17:26:58 +0300 Subject: [PATCH 038/126] refactor tensor arithmetic tests --- src/tests/operators/tensor/math.cairo | 1 + .../tensor/math/abs/abs_u32_test.cairo | 8 - .../operators/tensor/math/arithmetic.cairo | 3 + .../math/arithmetic/arithmetic_fp_test.cairo | 2 + .../arithmetic_fp16x16_test.cairo | 702 +++++++++++++++++ .../arithmetic_fp8x23_test.cairo | 721 ++++++++++++++++++ .../math/arithmetic/arithmetic_i32_test.cairo | 672 ++++++++++++++++ .../math/arithmetic/arithmetic_u32_test.cairo | 660 ++++++++++++++++ 8 files changed, 2761 insertions(+), 8 deletions(-) create mode 100644 src/tests/operators/tensor/math/arithmetic.cairo create mode 100644 src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test.cairo create mode 100644 src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp16x16_test.cairo create mode 100644 src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp8x23_test.cairo create mode 100644 src/tests/operators/tensor/math/arithmetic/arithmetic_i32_test.cairo create mode 100644 src/tests/operators/tensor/math/arithmetic/arithmetic_u32_test.cairo diff --git a/src/tests/operators/tensor/math.cairo b/src/tests/operators/tensor/math.cairo index 8953d0ad3..826039c61 100644 --- a/src/tests/operators/tensor/math.cairo +++ b/src/tests/operators/tensor/math.cairo @@ -12,3 +12,4 @@ mod less_equal; mod abs; mod ceil; mod ln; +mod arithmetic; diff --git a/src/tests/operators/tensor/math/abs/abs_u32_test.cairo b/src/tests/operators/tensor/math/abs/abs_u32_test.cairo index 0a15b1c6e..1252199f3 100644 --- a/src/tests/operators/tensor/math/abs/abs_u32_test.cairo +++ b/src/tests/operators/tensor/math/abs/abs_u32_test.cairo @@ -1,11 +1,3 @@ -use array::SpanTrait; -use array::ArrayTrait; -use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::tests::helpers::tensor::u32::{ - u32_tensor_1x3_helper, u32_tensor_2x2_helper, u32_tensor_2x2x2_helper -}; - // ===== 1D ===== // #[cfg(test)] diff --git a/src/tests/operators/tensor/math/arithmetic.cairo b/src/tests/operators/tensor/math/arithmetic.cairo new file mode 100644 index 000000000..e9c19950d --- /dev/null +++ b/src/tests/operators/tensor/math/arithmetic.cairo @@ -0,0 +1,3 @@ +mod arithmetic_u32_test; +mod arithmetic_i32_test; +mod arithmetic_fp_test; diff --git a/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test.cairo b/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test.cairo new file mode 100644 index 000000000..41a4c32d7 --- /dev/null +++ b/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test.cairo @@ -0,0 +1,2 @@ +mod arithmetic_fp8x23_test; +mod arithmetic_fp16x16_test; \ No newline at end of file diff --git a/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp16x16_test.cairo b/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp16x16_test.cairo new file mode 100644 index 000000000..7d9c61c71 --- /dev/null +++ b/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp16x16_test.cairo @@ -0,0 +1,702 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod add { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::FixedTypeTensorAdd; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_add() { + let tensor_1 = fp_tensor_1x3_helper(); + let tensor_2 = fp_tensor_1x3_helper(); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + } + } + + #[cfg(test)] + mod sub { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::FixedTypeTensorSub; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_sub() { + let tensor_1 = fp_tensor_1x3_helper(); + let tensor_2 = fp_tensor_1x3_helper(); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result.at(2) == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); + } + } + + #[cfg(test)] + mod mul { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::FixedTypeTensorMul; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_mul() { + let tensor_1 = fp_tensor_1x3_helper(); + let tensor_2 = fp_tensor_1x3_helper(); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + } + } + + #[cfg(test)] + mod div { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorDiv, Tensor_fp + }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams, ravel_index, unravel_index}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_div() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(100, false)); + data.append(FixedTrait::new_unscaled(200, false)); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + } + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod add { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorAdd, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_add() { + let tensor_1 = fp_tensor_2x2_helper(); + let tensor_2 = fp_tensor_2x2_helper(); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result.at(3) == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_add_broadcast() { + let tensor_1 = fp_tensor_2x2_helper(); + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(101, false), 'result[1] = 101'); + assert(*result.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); + assert(*result.at(2) == FixedTrait::new_unscaled(102, false), 'result[2] = 102'); + assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + } + } + + #[cfg(test)] + mod sub { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorSub, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_sub() { + let tensor_1 = fp_tensor_2x2_helper(); + let tensor_2 = fp_tensor_2x2_helper(); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result.at(2) == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); + assert(*result.at(3) == FixedTrait::new_unscaled(0, false), 'result[3] = 0'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_sub_broadcast() { + let tensor_1 = fp_tensor_2x2_helper(); + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result.at(2) == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + } + } + + #[cfg(test)] + mod mul { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorMul, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_mul() { + let tensor_1 = fp_tensor_2x2_helper(); + let tensor_2 = fp_tensor_2x2_helper(); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result.at(3) == FixedTrait::new_unscaled(9, false), 'result[3] = 9'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_mul_broadcast() { + let tensor_1 = fp_tensor_2x2_helper(); + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(100, false), 'result[1] = 100'); + assert(*result.at(2) == FixedTrait::new_unscaled(20, false), 'result[2] = 20'); + assert(*result.at(3) == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(10, false), 'result[1] = 10'); + assert(*result.at(2) == FixedTrait::new_unscaled(200, false), 'result[2] = 200'); + assert(*result.at(3) == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); + } + } + + #[cfg(test)] + mod div { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorDiv, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_div() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(100, false)); + data.append(FixedTrait::new_unscaled(200, false)); + data.append(FixedTrait::new_unscaled(300, false)); + data.append(FixedTrait::new_unscaled(400, false)); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_div_broadcast() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(100, false)); + data.append(FixedTrait::new_unscaled(200, false)); + data.append(FixedTrait::new_unscaled(300, false)); + data.append(FixedTrait::new_unscaled(400, false)); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.at(2) == FixedTrait::new_unscaled(30, false), 'result[2] = 30'); + assert(*result.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(20, false), 'result[1] = 20'); + assert(*result.at(2) == FixedTrait::new_unscaled(3, false), 'result[2] = 3'); + assert(*result.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + } + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod add { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorAdd, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_add() { + let tensor_1 = fp_tensor_2x2x2_helper(); + let tensor_2 = fp_tensor_2x2x2_helper(); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result.at(3) == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); + assert(*result.at(4) == FixedTrait::new_unscaled(8, false), 'result[4] = 8'); + assert(*result.at(5) == FixedTrait::new_unscaled(10, false), 'result[5] = 10'); + assert(*result.at(6) == FixedTrait::new_unscaled(12, false), 'result[6] = 12'); + assert(*result.at(7) == FixedTrait::new_unscaled(14, false), 'result[7] = 14'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_add_broadcast() { + let tensor_1 = fp_tensor_2x2x2_helper(); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); + assert(*result.at(2) == FixedTrait::new_unscaled(102, false), 'result[2] = 102'); + assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + assert(*result.at(4) == FixedTrait::new_unscaled(14, false), 'result[4] = 14'); + assert(*result.at(5) == FixedTrait::new_unscaled(15, false), 'result[5] = 15'); + assert(*result.at(6) == FixedTrait::new_unscaled(106, false), 'result[6] = 106'); + assert(*result.at(7) == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); + assert(*result.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result.at(3) == FixedTrait::new_unscaled(13, false), 'result[3] = 13'); + assert(*result.at(4) == FixedTrait::new_unscaled(104, false), 'result[4] = 104'); + assert(*result.at(5) == FixedTrait::new_unscaled(105, false), 'result[5] = 105'); + assert(*result.at(6) == FixedTrait::new_unscaled(106, false), 'result[6] = 106'); + assert(*result.at(7) == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(101, false), 'result[1] = 101'); + assert(*result.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + assert(*result.at(4) == FixedTrait::new_unscaled(14, false), 'result[4] = 14'); + assert(*result.at(5) == FixedTrait::new_unscaled(105, false), 'result[5] = 105'); + assert(*result.at(6) == FixedTrait::new_unscaled(16, false), 'result[6] = 16'); + assert(*result.at(7) == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); + } + } + + #[cfg(test)] + mod sub { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorSub, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_sub() { + let tensor_1 = fp_tensor_2x2x2_helper(); + let tensor_2 = fp_tensor_2x2x2_helper(); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result.at(2) == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); + assert(*result.at(3) == FixedTrait::new_unscaled(0, false), 'result[3] = 0'); + assert(*result.at(4) == FixedTrait::new_unscaled(0, false), 'result[4] = 0'); + assert(*result.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); + assert(*result.at(6) == FixedTrait::new_unscaled(0, false), 'result[6] = 0'); + assert(*result.at(7) == FixedTrait::new_unscaled(0, false), 'result[7] = 0'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_sub_broadcast() { + let tensor_1 = fp_tensor_2x2x2_helper(); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + assert(*result.at(4) == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.at(6) == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); + assert(*result.at(7) == FixedTrait::new_unscaled(6, false), 'result[7] = 6'); + } + } + + #[cfg(test)] + mod mul { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorMul, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_mul() { + let tensor_1 = fp_tensor_2x2x2_helper(); + let tensor_2 = fp_tensor_2x2x2_helper(); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result.at(3) == FixedTrait::new_unscaled(9, false), 'result[3] = 9'); + assert(*result.at(4) == FixedTrait::new_unscaled(16, false), 'result[4] = 16'); + assert(*result.at(5) == FixedTrait::new_unscaled(25, false), 'result[5] = 25'); + assert(*result.at(6) == FixedTrait::new_unscaled(36, false), 'result[6] = 36'); + assert(*result.at(7) == FixedTrait::new_unscaled(49, false), 'result[7] = 49'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_mul_broadcast() { + let tensor_1 = fp_tensor_2x2x2_helper(); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(10, false), 'result[1] = 10'); + assert(*result.at(2) == FixedTrait::new_unscaled(200, false), 'result[2] = 200'); + assert(*result.at(3) == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); + assert(*result.at(4) == FixedTrait::new_unscaled(40, false), 'result[4] = 40'); + assert(*result.at(5) == FixedTrait::new_unscaled(50, false), 'result[5] = 50'); + assert(*result.at(6) == FixedTrait::new_unscaled(600, false), 'result[6] = 600'); + assert(*result.at(7) == FixedTrait::new_unscaled(700, false), 'result[7] = 700'); + } + } + + #[cfg(test)] + mod div { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorDiv, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_div() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(100, false)); + data.append(FixedTrait::new_unscaled(200, false)); + data.append(FixedTrait::new_unscaled(300, false)); + data.append(FixedTrait::new_unscaled(400, false)); + data.append(FixedTrait::new_unscaled(500, false)); + data.append(FixedTrait::new_unscaled(600, false)); + data.append(FixedTrait::new_unscaled(700, false)); + data.append(FixedTrait::new_unscaled(800, false)); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + assert(*result.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result.at(5) == FixedTrait::new_unscaled(1, false), 'result[5] = 1'); + assert(*result.at(6) == FixedTrait::new_unscaled(1, false), 'result[6] = 1'); + assert(*result.at(7) == FixedTrait::new_unscaled(1, false), 'result[7] = 1'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_div_broadcast() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(100, false)); + data.append(FixedTrait::new_unscaled(200, false)); + data.append(FixedTrait::new_unscaled(300, false)); + data.append(FixedTrait::new_unscaled(400, false)); + data.append(FixedTrait::new_unscaled(500, false)); + data.append(FixedTrait::new_unscaled(600, false)); + data.append(FixedTrait::new_unscaled(700, false)); + data.append(FixedTrait::new_unscaled(800, false)); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(20, false), 'result[1] = 20'); + assert(*result.at(2) == FixedTrait::new_unscaled(3, false), 'result[2] = 3'); + assert(*result.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + assert(*result.at(4) == FixedTrait::new_unscaled(50, false), 'result[4] = 50'); + assert(*result.at(5) == FixedTrait::new_unscaled(60, false), 'result[5] = 60'); + assert(*result.at(6) == FixedTrait::new_unscaled(7, false), 'result[6] = 7'); + assert(*result.at(7) == FixedTrait::new_unscaled(8, false), 'result[7] = 8'); + } + } +} diff --git a/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp8x23_test.cairo b/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp8x23_test.cairo new file mode 100644 index 000000000..0f779e5b4 --- /dev/null +++ b/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp8x23_test.cairo @@ -0,0 +1,721 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod add { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::FixedTypeTensorAdd; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_add() { + let tensor_1 = fp_tensor_1x3_helper(); + let tensor_2 = fp_tensor_1x3_helper(); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + } + } + + #[cfg(test)] + mod sub { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::FixedTypeTensorSub; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_sub() { + let tensor_1 = fp_tensor_1x3_helper(); + let tensor_2 = fp_tensor_1x3_helper(); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result.at(2) == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); + } + } + + #[cfg(test)] + mod mul { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::FixedTypeTensorMul; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_mul() { + let tensor_1 = fp_tensor_1x3_helper(); + let tensor_2 = fp_tensor_1x3_helper(); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + } + } + + #[cfg(test)] + mod div { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorDiv, Tensor_fp + }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams, ravel_index, unravel_index}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_div() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(100, false)); + data.append(FixedTrait::new_unscaled(200, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + } + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod add { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorAdd, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_add() { + let tensor_1 = fp_tensor_2x2_helper(); + let tensor_2 = fp_tensor_2x2_helper(); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result.at(3) == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_add_broadcast() { + let tensor_1 = fp_tensor_2x2_helper(); + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(101, false), 'result[1] = 101'); + assert(*result.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); + assert(*result.at(2) == FixedTrait::new_unscaled(102, false), 'result[2] = 102'); + assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + } + } + + #[cfg(test)] + mod sub { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorSub, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_sub() { + let tensor_1 = fp_tensor_2x2_helper(); + let tensor_2 = fp_tensor_2x2_helper(); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result.at(2) == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); + assert(*result.at(3) == FixedTrait::new_unscaled(0, false), 'result[3] = 0'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_sub_broadcast() { + let tensor_1 = fp_tensor_2x2_helper(); + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result.at(2) == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + } + } + + #[cfg(test)] + mod mul { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorMul, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_mul() { + let tensor_1 = fp_tensor_2x2_helper(); + let tensor_2 = fp_tensor_2x2_helper(); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result.at(3) == FixedTrait::new_unscaled(9, false), 'result[3] = 9'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_mul_broadcast() { + let tensor_1 = fp_tensor_2x2_helper(); + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(100, false), 'result[1] = 100'); + assert(*result.at(2) == FixedTrait::new_unscaled(20, false), 'result[2] = 20'); + assert(*result.at(3) == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(10, false), 'result[1] = 10'); + assert(*result.at(2) == FixedTrait::new_unscaled(200, false), 'result[2] = 200'); + assert(*result.at(3) == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); + } + } + + #[cfg(test)] + mod div { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorDiv, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_div() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(100, false)); + data.append(FixedTrait::new_unscaled(200, false)); + data.append(FixedTrait::new_unscaled(300, false)); + data.append(FixedTrait::new_unscaled(400, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_div_broadcast() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(100, false)); + data.append(FixedTrait::new_unscaled(200, false)); + data.append(FixedTrait::new_unscaled(300, false)); + data.append(FixedTrait::new_unscaled(400, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.at(2) == FixedTrait::new_unscaled(30, false), 'result[2] = 30'); + assert(*result.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(20, false), 'result[1] = 20'); + assert(*result.at(2) == FixedTrait::new_unscaled(3, false), 'result[2] = 3'); + assert(*result.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + } + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod add { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorAdd, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_add() { + let tensor_1 = fp_tensor_2x2x2_helper(); + let tensor_2 = fp_tensor_2x2x2_helper(); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result.at(3) == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); + assert(*result.at(4) == FixedTrait::new_unscaled(8, false), 'result[4] = 8'); + assert(*result.at(5) == FixedTrait::new_unscaled(10, false), 'result[5] = 10'); + assert(*result.at(6) == FixedTrait::new_unscaled(12, false), 'result[6] = 12'); + assert(*result.at(7) == FixedTrait::new_unscaled(14, false), 'result[7] = 14'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_add_broadcast() { + let tensor_1 = fp_tensor_2x2x2_helper(); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); + assert(*result.at(2) == FixedTrait::new_unscaled(102, false), 'result[2] = 102'); + assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + assert(*result.at(4) == FixedTrait::new_unscaled(14, false), 'result[4] = 14'); + assert(*result.at(5) == FixedTrait::new_unscaled(15, false), 'result[5] = 15'); + assert(*result.at(6) == FixedTrait::new_unscaled(106, false), 'result[6] = 106'); + assert(*result.at(7) == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); + assert(*result.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result.at(3) == FixedTrait::new_unscaled(13, false), 'result[3] = 13'); + assert(*result.at(4) == FixedTrait::new_unscaled(104, false), 'result[4] = 104'); + assert(*result.at(5) == FixedTrait::new_unscaled(105, false), 'result[5] = 105'); + assert(*result.at(6) == FixedTrait::new_unscaled(106, false), 'result[6] = 106'); + assert(*result.at(7) == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(101, false), 'result[1] = 101'); + assert(*result.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + assert(*result.at(4) == FixedTrait::new_unscaled(14, false), 'result[4] = 14'); + assert(*result.at(5) == FixedTrait::new_unscaled(105, false), 'result[5] = 105'); + assert(*result.at(6) == FixedTrait::new_unscaled(16, false), 'result[6] = 16'); + assert(*result.at(7) == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); + } + } + + #[cfg(test)] + mod sub { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorSub, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_sub() { + let tensor_1 = fp_tensor_2x2x2_helper(); + let tensor_2 = fp_tensor_2x2x2_helper(); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result.at(2) == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); + assert(*result.at(3) == FixedTrait::new_unscaled(0, false), 'result[3] = 0'); + assert(*result.at(4) == FixedTrait::new_unscaled(0, false), 'result[4] = 0'); + assert(*result.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); + assert(*result.at(6) == FixedTrait::new_unscaled(0, false), 'result[6] = 0'); + assert(*result.at(7) == FixedTrait::new_unscaled(0, false), 'result[7] = 0'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_sub_broadcast() { + let tensor_1 = fp_tensor_2x2x2_helper(); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(0, false)); + data.append(FixedTrait::new_unscaled(1, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + assert(*result.at(4) == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.at(6) == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); + assert(*result.at(7) == FixedTrait::new_unscaled(6, false), 'result[7] = 6'); + } + } + + #[cfg(test)] + mod mul { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorMul, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_mul() { + let tensor_1 = fp_tensor_2x2x2_helper(); + let tensor_2 = fp_tensor_2x2x2_helper(); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result.at(3) == FixedTrait::new_unscaled(9, false), 'result[3] = 9'); + assert(*result.at(4) == FixedTrait::new_unscaled(16, false), 'result[4] = 16'); + assert(*result.at(5) == FixedTrait::new_unscaled(25, false), 'result[5] = 25'); + assert(*result.at(6) == FixedTrait::new_unscaled(36, false), 'result[6] = 36'); + assert(*result.at(7) == FixedTrait::new_unscaled(49, false), 'result[7] = 49'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_mul_broadcast() { + let tensor_1 = fp_tensor_2x2x2_helper(); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(10, false), 'result[1] = 10'); + assert(*result.at(2) == FixedTrait::new_unscaled(200, false), 'result[2] = 200'); + assert(*result.at(3) == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); + assert(*result.at(4) == FixedTrait::new_unscaled(40, false), 'result[4] = 40'); + assert(*result.at(5) == FixedTrait::new_unscaled(50, false), 'result[5] = 50'); + assert(*result.at(6) == FixedTrait::new_unscaled(600, false), 'result[6] = 600'); + assert(*result.at(7) == FixedTrait::new_unscaled(700, false), 'result[7] = 700'); + } + } + + #[cfg(test)] + mod div { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::{ + FixedTypeTensorDiv, Tensor_fp + }; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(20000000)] + fn tensor_div() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(100, false)); + data.append(FixedTrait::new_unscaled(200, false)); + data.append(FixedTrait::new_unscaled(300, false)); + data.append(FixedTrait::new_unscaled(400, false)); + data.append(FixedTrait::new_unscaled(500, false)); + data.append(FixedTrait::new_unscaled(600, false)); + data.append(FixedTrait::new_unscaled(700, false)); + data.append(FixedTrait::new_unscaled(800, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + assert(*result.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result.at(5) == FixedTrait::new_unscaled(1, false), 'result[5] = 1'); + assert(*result.at(6) == FixedTrait::new_unscaled(1, false), 'result[6] = 1'); + assert(*result.at(7) == FixedTrait::new_unscaled(1, false), 'result[7] = 1'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_div_broadcast() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(100, false)); + data.append(FixedTrait::new_unscaled(200, false)); + data.append(FixedTrait::new_unscaled(300, false)); + data.append(FixedTrait::new_unscaled(400, false)); + data.append(FixedTrait::new_unscaled(500, false)); + data.append(FixedTrait::new_unscaled(600, false)); + data.append(FixedTrait::new_unscaled(700, false)); + data.append(FixedTrait::new_unscaled(800, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(FixedTrait::new_unscaled(10, false)); + data.append(FixedTrait::new_unscaled(100, false)); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result.at(1) == FixedTrait::new_unscaled(20, false), 'result[1] = 20'); + assert(*result.at(2) == FixedTrait::new_unscaled(3, false), 'result[2] = 3'); + assert(*result.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + assert(*result.at(4) == FixedTrait::new_unscaled(50, false), 'result[4] = 50'); + assert(*result.at(5) == FixedTrait::new_unscaled(60, false), 'result[5] = 60'); + assert(*result.at(6) == FixedTrait::new_unscaled(7, false), 'result[6] = 7'); + assert(*result.at(7) == FixedTrait::new_unscaled(8, false), 'result[7] = 8'); + } + } +} diff --git a/src/tests/operators/tensor/math/arithmetic/arithmetic_i32_test.cairo b/src/tests/operators/tensor/math/arithmetic/arithmetic_i32_test.cairo new file mode 100644 index 000000000..74a110e6d --- /dev/null +++ b/src/tests/operators/tensor/math/arithmetic/arithmetic_i32_test.cairo @@ -0,0 +1,672 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod add { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::i32TensorAdd; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + + #[test] + #[available_gas(20000000)] + fn tensor_add() { + let tensor_1 = i32_tensor_1x3_helper(); + let tensor_2 = i32_tensor_1x3_helper(); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(2, false), 'result[1] = 2'); + assert(*result.at(2) == IntegerTrait::new(4, false), 'result[2] = 4'); + } + } + + #[cfg(test)] + mod sub { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::i32TensorSub; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + + #[test] + #[available_gas(20000000)] + fn tensor_sub() { + let tensor_1 = i32_tensor_1x3_helper(); + let tensor_2 = i32_tensor_1x3_helper(); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(0, false), 'result[1] = 0'); + assert(*result.at(2) == IntegerTrait::new(0, false), 'result[2] = 0'); + } + } + + #[cfg(test)] + mod mul { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::i32TensorMul; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + + #[test] + #[available_gas(20000000)] + fn tensor_mul() { + let tensor_1 = i32_tensor_1x3_helper(); + let tensor_2 = i32_tensor_1x3_helper(); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result.at(2) == IntegerTrait::new(4, false), 'result[2] = 4'); + } + } + + #[cfg(test)] + mod div { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::{i32TensorDiv, Tensor_i32}; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams, ravel_index, unravel_index}; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + + #[test] + #[available_gas(20000000)] + fn tensor_div() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(100, false)); + data.append(IntegerTrait::new(200, false)); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(1, false), 'result[0] = 1'); + assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); + } + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod add { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::{i32TensorAdd, Tensor_i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + + #[test] + #[available_gas(20000000)] + fn tensor_add() { + let tensor_1 = i32_tensor_2x2_helper(); + let tensor_2 = i32_tensor_2x2_helper(); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(2, false), 'result[1] = 2'); + assert(*result.at(2) == IntegerTrait::new(4, false), 'result[2] = 4'); + assert(*result.at(3) == IntegerTrait::new(6, false), 'result[3] = 6'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_add_broadcast() { + let tensor_1 = i32_tensor_2x2_helper(); + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result.at(1) == IntegerTrait::new(101, false), 'result[1] = 101'); + assert(*result.at(2) == IntegerTrait::new(12, false), 'result[2] = 12'); + assert(*result.at(3) == IntegerTrait::new(103, false), 'result[3] = 103'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result.at(1) == IntegerTrait::new(11, false), 'result[1] = 11'); + assert(*result.at(2) == IntegerTrait::new(102, false), 'result[2] = 102'); + assert(*result.at(3) == IntegerTrait::new(103, false), 'result[3] = 103'); + } + } + + #[cfg(test)] + mod sub { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::{i32TensorSub, Tensor_i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + + #[test] + #[available_gas(20000000)] + fn tensor_sub() { + let tensor_1 = i32_tensor_2x2_helper(); + let tensor_2 = i32_tensor_2x2_helper(); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(0, false), 'result[1] = 0'); + assert(*result.at(2) == IntegerTrait::new(0, false), 'result[2] = 0'); + assert(*result.at(3) == IntegerTrait::new(0, false), 'result[3] = 0'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_sub_broadcast() { + let tensor_1 = i32_tensor_2x2_helper(); + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(0, false), 'result[1] = 0'); + assert(*result.at(2) == IntegerTrait::new(2, false), 'result[2] = 2'); + assert(*result.at(3) == IntegerTrait::new(2, false), 'result[3] = 2'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result.at(2) == IntegerTrait::new(1, false), 'result[2] = 1'); + assert(*result.at(3) == IntegerTrait::new(2, false), 'result[3] = 2'); + } + } + + #[cfg(test)] + mod mul { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::{i32TensorMul, Tensor_i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + + #[test] + #[available_gas(20000000)] + fn tensor_mul() { + let tensor_1 = i32_tensor_2x2_helper(); + let tensor_2 = i32_tensor_2x2_helper(); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result.at(2) == IntegerTrait::new(4, false), 'result[2] = 4'); + assert(*result.at(3) == IntegerTrait::new(9, false), 'result[3] = 9'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_mul_broadcast() { + let tensor_1 = i32_tensor_2x2_helper(); + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(100, false), 'result[1] = 100'); + assert(*result.at(2) == IntegerTrait::new(20, false), 'result[2] = 20'); + assert(*result.at(3) == IntegerTrait::new(300, false), 'result[3] = 300'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(10, false), 'result[1] = 10'); + assert(*result.at(2) == IntegerTrait::new(200, false), 'result[2] = 200'); + assert(*result.at(3) == IntegerTrait::new(300, false), 'result[3] = 300'); + } + } + + #[cfg(test)] + mod div { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::{i32TensorDiv, Tensor_i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + + #[test] + #[available_gas(20000000)] + fn tensor_div() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(100, false)); + data.append(IntegerTrait::new(200, false)); + data.append(IntegerTrait::new(300, false)); + data.append(IntegerTrait::new(400, false)); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(1, false), 'result[0] = 1'); + assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result.at(2) == IntegerTrait::new(1, false), 'result[2] = 1'); + assert(*result.at(3) == IntegerTrait::new(1, false), 'result[3] = 1'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_div_broadcast() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(100, false)); + data.append(IntegerTrait::new(200, false)); + data.append(IntegerTrait::new(300, false)); + data.append(IntegerTrait::new(400, false)); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result.at(1) == IntegerTrait::new(2, false), 'result[1] = 2'); + assert(*result.at(2) == IntegerTrait::new(30, false), 'result[2] = 30'); + assert(*result.at(3) == IntegerTrait::new(4, false), 'result[3] = 4'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result.at(1) == IntegerTrait::new(20, false), 'result[1] = 20'); + assert(*result.at(2) == IntegerTrait::new(3, false), 'result[2] = 3'); + assert(*result.at(3) == IntegerTrait::new(4, false), 'result[3] = 4'); + } + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod add { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::{i32TensorAdd, Tensor_i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + + #[test] + #[available_gas(20000000)] + fn tensor_add() { + let tensor_1 = i32_tensor_2x2x2_helper(); + let tensor_2 = i32_tensor_2x2x2_helper(); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(2, false), 'result[1] = 2'); + assert(*result.at(2) == IntegerTrait::new(4, false), 'result[2] = 4'); + assert(*result.at(3) == IntegerTrait::new(6, false), 'result[3] = 6'); + assert(*result.at(4) == IntegerTrait::new(8, false), 'result[4] = 8'); + assert(*result.at(5) == IntegerTrait::new(10, false), 'result[5] = 10'); + assert(*result.at(6) == IntegerTrait::new(12, false), 'result[6] = 12'); + assert(*result.at(7) == IntegerTrait::new(14, false), 'result[7] = 14'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_add_broadcast() { + let tensor_1 = i32_tensor_2x2x2_helper(); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result.at(1) == IntegerTrait::new(11, false), 'result[1] = 11'); + assert(*result.at(2) == IntegerTrait::new(102, false), 'result[2] = 102'); + assert(*result.at(3) == IntegerTrait::new(103, false), 'result[3] = 103'); + assert(*result.at(4) == IntegerTrait::new(14, false), 'result[4] = 14'); + assert(*result.at(5) == IntegerTrait::new(15, false), 'result[5] = 15'); + assert(*result.at(6) == IntegerTrait::new(106, false), 'result[6] = 106'); + assert(*result.at(7) == IntegerTrait::new(107, false), 'result[7] = 107'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result.at(1) == IntegerTrait::new(11, false), 'result[1] = 11'); + assert(*result.at(2) == IntegerTrait::new(12, false), 'result[2] = 12'); + assert(*result.at(3) == IntegerTrait::new(13, false), 'result[3] = 13'); + assert(*result.at(4) == IntegerTrait::new(104, false), 'result[4] = 104'); + assert(*result.at(5) == IntegerTrait::new(105, false), 'result[5] = 105'); + assert(*result.at(6) == IntegerTrait::new(106, false), 'result[6] = 106'); + assert(*result.at(7) == IntegerTrait::new(107, false), 'result[7] = 107'); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result.at(1) == IntegerTrait::new(101, false), 'result[1] = 101'); + assert(*result.at(2) == IntegerTrait::new(12, false), 'result[2] = 12'); + assert(*result.at(3) == IntegerTrait::new(103, false), 'result[3] = 103'); + assert(*result.at(4) == IntegerTrait::new(14, false), 'result[4] = 14'); + assert(*result.at(5) == IntegerTrait::new(105, false), 'result[5] = 105'); + assert(*result.at(6) == IntegerTrait::new(16, false), 'result[6] = 16'); + assert(*result.at(7) == IntegerTrait::new(107, false), 'result[7] = 107'); + } + } + + #[cfg(test)] + mod sub { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::{i32TensorSub, Tensor_i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + + #[test] + #[available_gas(20000000)] + fn tensor_sub() { + let tensor_1 = i32_tensor_2x2x2_helper(); + let tensor_2 = i32_tensor_2x2x2_helper(); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(0, false), 'result[1] = 0'); + assert(*result.at(2) == IntegerTrait::new(0, false), 'result[2] = 0'); + assert(*result.at(3) == IntegerTrait::new(0, false), 'result[3] = 0'); + assert(*result.at(4) == IntegerTrait::new(0, false), 'result[4] = 0'); + assert(*result.at(5) == IntegerTrait::new(0, false), 'result[5] = 0'); + assert(*result.at(6) == IntegerTrait::new(0, false), 'result[6] = 0'); + assert(*result.at(7) == IntegerTrait::new(0, false), 'result[7] = 0'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_sub_broadcast() { + let tensor_1 = i32_tensor_2x2x2_helper(); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result.at(2) == IntegerTrait::new(1, false), 'result[2] = 1'); + assert(*result.at(3) == IntegerTrait::new(2, false), 'result[3] = 2'); + assert(*result.at(4) == IntegerTrait::new(4, false), 'result[4] = 4'); + assert(*result.at(5) == IntegerTrait::new(5, false), 'result[5] = 5'); + assert(*result.at(6) == IntegerTrait::new(5, false), 'result[6] = 5'); + assert(*result.at(7) == IntegerTrait::new(6, false), 'result[7] = 6'); + } + } + + #[cfg(test)] + mod mul { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::{i32TensorMul, Tensor_i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + + #[test] + #[available_gas(20000000)] + fn tensor_mul() { + let tensor_1 = i32_tensor_2x2x2_helper(); + let tensor_2 = i32_tensor_2x2x2_helper(); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result.at(2) == IntegerTrait::new(4, false), 'result[2] = 4'); + assert(*result.at(3) == IntegerTrait::new(9, false), 'result[3] = 9'); + assert(*result.at(4) == IntegerTrait::new(16, false), 'result[4] = 16'); + assert(*result.at(5) == IntegerTrait::new(25, false), 'result[5] = 25'); + assert(*result.at(6) == IntegerTrait::new(36, false), 'result[6] = 36'); + assert(*result.at(7) == IntegerTrait::new(49, false), 'result[7] = 49'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_mul_broadcast() { + let tensor_1 = i32_tensor_2x2x2_helper(); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result.at(1) == IntegerTrait::new(10, false), 'result[1] = 10'); + assert(*result.at(2) == IntegerTrait::new(200, false), 'result[2] = 200'); + assert(*result.at(3) == IntegerTrait::new(300, false), 'result[3] = 300'); + assert(*result.at(4) == IntegerTrait::new(40, false), 'result[4] = 40'); + assert(*result.at(5) == IntegerTrait::new(50, false), 'result[5] = 50'); + assert(*result.at(6) == IntegerTrait::new(600, false), 'result[6] = 600'); + assert(*result.at(7) == IntegerTrait::new(700, false), 'result[7] = 700'); + } + } + + #[cfg(test)] + mod div { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::{i32TensorDiv, Tensor_i32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + + #[test] + #[available_gas(20000000)] + fn tensor_div() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(100, false)); + data.append(IntegerTrait::new(200, false)); + data.append(IntegerTrait::new(300, false)); + data.append(IntegerTrait::new(400, false)); + data.append(IntegerTrait::new(500, false)); + data.append(IntegerTrait::new(600, false)); + data.append(IntegerTrait::new(700, false)); + data.append(IntegerTrait::new(800, false)); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(1, false), 'result[0] = 1'); + assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result.at(2) == IntegerTrait::new(1, false), 'result[2] = 1'); + assert(*result.at(3) == IntegerTrait::new(1, false), 'result[3] = 1'); + assert(*result.at(4) == IntegerTrait::new(1, false), 'result[4] = 1'); + assert(*result.at(5) == IntegerTrait::new(1, false), 'result[5] = 1'); + assert(*result.at(6) == IntegerTrait::new(1, false), 'result[6] = 1'); + assert(*result.at(7) == IntegerTrait::new(1, false), 'result[7] = 1'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_div_broadcast() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(100, false)); + data.append(IntegerTrait::new(200, false)); + data.append(IntegerTrait::new(300, false)); + data.append(IntegerTrait::new(400, false)); + data.append(IntegerTrait::new(500, false)); + data.append(IntegerTrait::new(600, false)); + data.append(IntegerTrait::new(700, false)); + data.append(IntegerTrait::new(800, false)); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(10, false)); + data.append(IntegerTrait::new(100, false)); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result.at(1) == IntegerTrait::new(20, false), 'result[1] = 20'); + assert(*result.at(2) == IntegerTrait::new(3, false), 'result[2] = 3'); + assert(*result.at(3) == IntegerTrait::new(4, false), 'result[3] = 4'); + assert(*result.at(4) == IntegerTrait::new(50, false), 'result[4] = 50'); + assert(*result.at(5) == IntegerTrait::new(60, false), 'result[5] = 60'); + assert(*result.at(6) == IntegerTrait::new(7, false), 'result[6] = 7'); + assert(*result.at(7) == IntegerTrait::new(8, false), 'result[7] = 8'); + } + } +} diff --git a/src/tests/operators/tensor/math/arithmetic/arithmetic_u32_test.cairo b/src/tests/operators/tensor/math/arithmetic/arithmetic_u32_test.cairo new file mode 100644 index 000000000..b96c6fe02 --- /dev/null +++ b/src/tests/operators/tensor/math/arithmetic/arithmetic_u32_test.cairo @@ -0,0 +1,660 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod add { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::u32TensorAdd; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_add() { + let tensor_1 = u32_tensor_1x3_helper(); + let tensor_2 = u32_tensor_1x3_helper(); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == 0_u32, 'result[0] = 0'); + assert(*result.at(1) == 2_u32, 'result[1] = 2'); + assert(*result.at(2) == 4_u32, 'result[2] = 4'); + } + } + + #[cfg(test)] + mod sub { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::u32TensorSub; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_sub() { + let tensor_1 = u32_tensor_1x3_helper(); + let tensor_2 = u32_tensor_1x3_helper(); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == 0_u32, 'result[0] = 0'); + assert(*result.at(1) == 0_u32, 'result[1] = 0'); + assert(*result.at(2) == 0_u32, 'result[2] = 0'); + } + } + + #[cfg(test)] + mod mul { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::u32TensorMul; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_mul() { + let tensor_1 = u32_tensor_1x3_helper(); + let tensor_2 = u32_tensor_1x3_helper(); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == 0_u32, 'result[0] = 0'); + assert(*result.at(1) == 1_u32, 'result[1] = 1'); + assert(*result.at(2) == 4_u32, 'result[2] = 4'); + } + } + + #[cfg(test)] + mod div { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::{u32TensorDiv, Tensor_u32}; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams, ravel_index, unravel_index}; + + #[test] + #[available_gas(20000000)] + fn tensor_div() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(100); + data.append(200_u32); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == 1, 'result[0] = 1'); + assert(*result.at(1) == 1, 'result[1] = 1'); + } + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod add { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::{u32TensorAdd, Tensor_u32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_add() { + let tensor_1 = u32_tensor_2x2_helper(); + let tensor_2 = u32_tensor_2x2_helper(); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 2, 'result[1] = 2'); + assert(*result.at(2) == 4, 'result[2] = 4'); + assert(*result.at(3) == 6, 'result[3] = 6'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_add_broadcast() { + let tensor_1 = u32_tensor_2x2_helper(); + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(10); + data.append(100); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == 10, 'result[0] = 10'); + assert(*result.at(1) == 101, 'result[1] = 101'); + assert(*result.at(2) == 12, 'result[2] = 12'); + assert(*result.at(3) == 103, 'result[3] = 103'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(10); + data.append(100); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == 10, 'result[0] = 10'); + assert(*result.at(1) == 11, 'result[1] = 11'); + assert(*result.at(2) == 102, 'result[2] = 102'); + assert(*result.at(3) == 103, 'result[3] = 103'); + } + } + + #[cfg(test)] + mod sub { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::{u32TensorSub, Tensor_u32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_sub() { + let tensor_1 = u32_tensor_2x2_helper(); + let tensor_2 = u32_tensor_2x2_helper(); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 0, 'result[1] = 0'); + assert(*result.at(2) == 0, 'result[2] = 0'); + assert(*result.at(3) == 0, 'result[3] = 0'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_sub_broadcast() { + let tensor_1 = u32_tensor_2x2_helper(); + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(0); + data.append(1); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 0, 'result[1] = 0'); + assert(*result.at(2) == 2, 'result[2] = 2'); + assert(*result.at(3) == 2, 'result[3] = 2'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(0); + data.append(1); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 1, 'result[1] = 1'); + assert(*result.at(2) == 1, 'result[2] = 1'); + assert(*result.at(3) == 2, 'result[3] = 2'); + } + } + + #[cfg(test)] + mod mul { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::{u32TensorMul, Tensor_u32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_mul() { + let tensor_1 = u32_tensor_2x2_helper(); + let tensor_2 = u32_tensor_2x2_helper(); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 1, 'result[1] = 1'); + assert(*result.at(2) == 4, 'result[2] = 4'); + assert(*result.at(3) == 9, 'result[3] = 9'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_mul_broadcast() { + let tensor_1 = u32_tensor_2x2_helper(); + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(10); + data.append(100); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 100, 'result[1] = 100'); + assert(*result.at(2) == 20, 'result[2] = 20'); + assert(*result.at(3) == 300, 'result[3] = 300'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(10); + data.append(100); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 10, 'result[1] = 10'); + assert(*result.at(2) == 200, 'result[2] = 200'); + assert(*result.at(3) == 300, 'result[3] = 300'); + } + } + + #[cfg(test)] + mod div { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::{u32TensorDiv, Tensor_u32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_div() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(100); + data.append(200); + data.append(300); + data.append(400); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == 1, 'result[0] = 1'); + assert(*result.at(1) == 1, 'result[1] = 1'); + assert(*result.at(2) == 1, 'result[2] = 1'); + assert(*result.at(3) == 1, 'result[3] = 1'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_div_broadcast() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(100); + data.append(200); + data.append(300); + data.append(400); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(10); + data.append(100); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == 10, 'result[0] = 10'); + assert(*result.at(1) == 2, 'result[1] = 2'); + assert(*result.at(2) == 30, 'result[2] = 30'); + assert(*result.at(3) == 4, 'result[3] = 4'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(10_u32); + data.append(100_u32); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == 10, 'result[0] = 10'); + assert(*result.at(1) == 20, 'result[1] = 20'); + assert(*result.at(2) == 3, 'result[2] = 3'); + assert(*result.at(3) == 4, 'result[3] = 4'); + } + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod add { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::{u32TensorAdd, Tensor_u32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_add() { + let tensor_1 = u32_tensor_2x2x2_helper(); + let tensor_2 = u32_tensor_2x2x2_helper(); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 2, 'result[1] = 2'); + assert(*result.at(2) == 4, 'result[2] = 4'); + assert(*result.at(3) == 6, 'result[3] = 6'); + assert(*result.at(4) == 8, 'result[4] = 8'); + assert(*result.at(5) == 10, 'result[5] = 10'); + assert(*result.at(6) == 12, 'result[6] = 12'); + assert(*result.at(7) == 14, 'result[7] = 14'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_add_broadcast() { + let tensor_1 = u32_tensor_2x2x2_helper(); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(10); + data.append(100); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == 10, 'result[0] = 10'); + assert(*result.at(1) == 11, 'result[1] = 11'); + assert(*result.at(2) == 102, 'result[2] = 102'); + assert(*result.at(3) == 103, 'result[3] = 103'); + assert(*result.at(4) == 14, 'result[4] = 14'); + assert(*result.at(5) == 15, 'result[5] = 15'); + assert(*result.at(6) == 106, 'result[6] = 106'); + assert(*result.at(7) == 107, 'result[7] = 107'); + + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(1); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(10); + data.append(100); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == 10, 'result[0] = 10'); + assert(*result.at(1) == 11, 'result[1] = 11'); + assert(*result.at(2) == 12, 'result[2] = 12'); + assert(*result.at(3) == 13, 'result[3] = 13'); + assert(*result.at(4) == 104, 'result[4] = 104'); + assert(*result.at(5) == 105, 'result[5] = 105'); + assert(*result.at(6) == 106, 'result[6] = 106'); + assert(*result.at(7) == 107, 'result[7] = 107'); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(1); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(10); + data.append(100); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 + tensor_2).data; + + assert(*result.at(0) == 10, 'result[0] = 10'); + assert(*result.at(1) == 101, 'result[1] = 101'); + assert(*result.at(2) == 12, 'result[2] = 12'); + assert(*result.at(3) == 103, 'result[3] = 103'); + assert(*result.at(4) == 14, 'result[4] = 14'); + assert(*result.at(5) == 105, 'result[5] = 105'); + assert(*result.at(6) == 16, 'result[6] = 16'); + assert(*result.at(7) == 107, 'result[7] = 107'); + } + } + + #[cfg(test)] + mod sub { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::{u32TensorSub, Tensor_u32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_sub() { + let tensor_1 = u32_tensor_2x2x2_helper(); + let tensor_2 = u32_tensor_2x2x2_helper(); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 0, 'result[1] = 0'); + assert(*result.at(2) == 0, 'result[2] = 0'); + assert(*result.at(3) == 0, 'result[3] = 0'); + assert(*result.at(4) == 0, 'result[4] = 0'); + assert(*result.at(5) == 0, 'result[5] = 0'); + assert(*result.at(6) == 0, 'result[6] = 0'); + assert(*result.at(7) == 0, 'result[7] = 0'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_sub_broadcast() { + let tensor_1 = u32_tensor_2x2x2_helper(); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(0); + data.append(1); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 - tensor_2).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 1, 'result[1] = 1'); + assert(*result.at(2) == 1, 'result[2] = 1'); + assert(*result.at(3) == 2, 'result[3] = 2'); + assert(*result.at(4) == 4, 'result[4] = 4'); + assert(*result.at(5) == 5, 'result[5] = 5'); + assert(*result.at(6) == 5, 'result[6] = 5'); + assert(*result.at(7) == 6, 'result[7] = 6'); + } + } + + #[cfg(test)] + mod mul { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::{u32TensorMul, Tensor_u32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + + #[test] + #[available_gas(20000000)] + fn tensor_mul() { + let tensor_1 = u32_tensor_2x2x2_helper(); + let tensor_2 = u32_tensor_2x2x2_helper(); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 1, 'result[1] = 1'); + assert(*result.at(2) == 4, 'result[2] = 4'); + assert(*result.at(3) == 9, 'result[3] = 9'); + assert(*result.at(4) == 16, 'result[4] = 16'); + assert(*result.at(5) == 25, 'result[5] = 25'); + assert(*result.at(6) == 36, 'result[6] = 36'); + assert(*result.at(7) == 49, 'result[7] = 49'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_mul_broadcast() { + let tensor_1 = u32_tensor_2x2x2_helper(); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(10); + data.append(100); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 * tensor_2).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 10, 'result[1] = 10'); + assert(*result.at(2) == 200, 'result[2] = 200'); + assert(*result.at(3) == 300, 'result[3] = 300'); + assert(*result.at(4) == 40, 'result[4] = 40'); + assert(*result.at(5) == 50, 'result[5] = 50'); + assert(*result.at(6) == 600, 'result[6] = 600'); + assert(*result.at(7) == 700, 'result[7] = 700'); + } + } + + #[cfg(test)] + mod div { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::{u32TensorDiv, Tensor_u32}; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_div() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(100); + data.append(200); + data.append(300); + data.append(400); + data.append(500); + data.append(600); + data.append(700); + data.append(800); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == 1, 'result[0] = 1'); + assert(*result.at(1) == 1, 'result[1] = 1'); + assert(*result.at(2) == 1, 'result[2] = 1'); + assert(*result.at(3) == 1, 'result[3] = 1'); + assert(*result.at(4) == 1, 'result[4] = 1'); + assert(*result.at(5) == 1, 'result[5] = 1'); + assert(*result.at(6) == 1, 'result[6] = 1'); + assert(*result.at(7) == 1, 'result[7] = 1'); + } + + #[test] + #[available_gas(20000000)] + fn tensor_div_broadcast() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + let mut data = ArrayTrait::new(); + data.append(100); + data.append(200); + data.append(300); + data.append(400); + data.append(500); + data.append(600); + data.append(700); + data.append(800); + let extra = Option::::None(()); + let tensor_1 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let mut sizes = ArrayTrait::new(); + sizes.append(1); + sizes.append(2); + sizes.append(1); + let mut data = ArrayTrait::new(); + data.append(10); + data.append(100); + let extra = Option::::None(()); + let tensor_2 = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = (tensor_1 / tensor_2).data; + + assert(*result.at(0) == 10, 'result[0] = 10'); + assert(*result.at(1) == 20, 'result[1] = 20'); + assert(*result.at(2) == 3, 'result[2] = 3'); + assert(*result.at(3) == 4, 'result[3] = 4'); + assert(*result.at(4) == 50, 'result[4] = 50'); + assert(*result.at(5) == 60, 'result[5] = 60'); + assert(*result.at(6) == 7, 'result[6] = 7'); + assert(*result.at(7) == 8, 'result[7] = 8'); + } + } +} From c3b9eae8b8765cd90b76d7bffc38eaf1674a8557 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 18:15:11 +0300 Subject: [PATCH 039/126] refactor tensor transpose tests --- .../transpose/transpose_fp/fp16x16.cairo | 1 + .../transpose/transpose_fp/fp8x23.cairo | 1 + .../linalg/transpose/transpose_i32.cairo | 1 + .../linalg/transpose/transpose_u32.cairo | 1 + src/tests/helpers/tensor/u32.cairo | 4 +- src/tests/operators/tensor/core.cairo | 3 +- .../operators/tensor/core/transpose.cairo | 3 + .../core/transpose/transpose_fp_test.cairo | 2 + .../transpose_fp16x16_test.cairo | 227 ++++++++++++++++++ .../transpose_fp8x23_test.cairo | 227 ++++++++++++++++++ .../core/transpose/transpose_i32_test.cairo | 223 +++++++++++++++++ .../core/transpose/transpose_u32_test.cairo | 223 +++++++++++++++++ 12 files changed, 913 insertions(+), 3 deletions(-) create mode 100644 src/tests/operators/tensor/core/transpose.cairo create mode 100644 src/tests/operators/tensor/core/transpose/transpose_fp_test.cairo create mode 100644 src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp16x16_test.cairo create mode 100644 src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp8x23_test.cairo create mode 100644 src/tests/operators/tensor/core/transpose/transpose_i32_test.cairo create mode 100644 src/tests/operators/tensor/core/transpose/transpose_u32_test.cairo diff --git a/src/operators/tensor/linalg/transpose/transpose_fp/fp16x16.cairo b/src/operators/tensor/linalg/transpose/transpose_fp/fp16x16.cairo index 9a01aae5b..17069aa28 100644 --- a/src/operators/tensor/linalg/transpose/transpose_fp/fp16x16.cairo +++ b/src/operators/tensor/linalg/transpose/transpose_fp/fp16x16.cairo @@ -12,6 +12,7 @@ use orion::utils::check_gas; /// Cf: TensorTrait::transpose docstring fn transpose(self: @Tensor, axes: Span) -> Tensor { + assert((*self.shape).len() > 1, 'cannot transpose a 1D tensor'); assert(axes.len() == (*self.shape).len(), 'shape and axes length unequal'); let output_shape = permutation_output_shape(*self.shape, axes); diff --git a/src/operators/tensor/linalg/transpose/transpose_fp/fp8x23.cairo b/src/operators/tensor/linalg/transpose/transpose_fp/fp8x23.cairo index b5f8aea4c..a1f0aaa23 100644 --- a/src/operators/tensor/linalg/transpose/transpose_fp/fp8x23.cairo +++ b/src/operators/tensor/linalg/transpose/transpose_fp/fp8x23.cairo @@ -12,6 +12,7 @@ use orion::utils::check_gas; /// Cf: TensorTrait::transpose docstring fn transpose(self: @Tensor, axes: Span) -> Tensor { + assert((*self.shape).len() > 1, 'cannot transpose a 1D tensor'); assert(axes.len() == (*self.shape).len(), 'shape and axes length unequal'); let output_shape = permutation_output_shape(*self.shape, axes); diff --git a/src/operators/tensor/linalg/transpose/transpose_i32.cairo b/src/operators/tensor/linalg/transpose/transpose_i32.cairo index 76d42644f..b080033d9 100644 --- a/src/operators/tensor/linalg/transpose/transpose_i32.cairo +++ b/src/operators/tensor/linalg/transpose/transpose_i32.cairo @@ -11,6 +11,7 @@ use orion::utils::check_gas; /// Cf: TensorTrait::transpose docstring fn transpose(self: @Tensor, axes: Span) -> Tensor { + assert((*self.shape).len() > 1, 'cannot transpose a 1D tensor'); assert(axes.len() == (*self.shape).len(), 'shape and axes length unequal'); let output_shape = permutation_output_shape(*self.shape, axes); diff --git a/src/operators/tensor/linalg/transpose/transpose_u32.cairo b/src/operators/tensor/linalg/transpose/transpose_u32.cairo index e6a777d68..b576651cc 100644 --- a/src/operators/tensor/linalg/transpose/transpose_u32.cairo +++ b/src/operators/tensor/linalg/transpose/transpose_u32.cairo @@ -10,6 +10,7 @@ use orion::utils::check_gas; /// Cf: TensorTrait::transpose docstring fn transpose(self: @Tensor, axes: Span) -> Tensor { + assert((*self.shape).len() > 1, 'cannot transpose a 1D tensor'); assert(axes.len() == (*self.shape).len(), 'shape and axes length unequal'); let output_shape = permutation_output_shape(*self.shape, axes); diff --git a/src/tests/helpers/tensor/u32.cairo b/src/tests/helpers/tensor/u32.cairo index 6cfb79645..dcde6470e 100644 --- a/src/tests/helpers/tensor/u32.cairo +++ b/src/tests/helpers/tensor/u32.cairo @@ -160,8 +160,8 @@ fn u32_tensor_3x2x2_helper() -> Tensor { data.append(7); data.append(8); data.append(9); - data.append(1); - data.append(1); + data.append(10); + data.append(11); let extra = Option::::None(()); diff --git a/src/tests/operators/tensor/core.cairo b/src/tests/operators/tensor/core.cairo index 113893d9c..3886ccfcd 100644 --- a/src/tests/operators/tensor/core.cairo +++ b/src/tests/operators/tensor/core.cairo @@ -1,4 +1,5 @@ mod at; mod stride; mod ravel_index; -mod unravel_index; \ No newline at end of file +mod unravel_index; +mod transpose; \ No newline at end of file diff --git a/src/tests/operators/tensor/core/transpose.cairo b/src/tests/operators/tensor/core/transpose.cairo new file mode 100644 index 000000000..c41e465f9 --- /dev/null +++ b/src/tests/operators/tensor/core/transpose.cairo @@ -0,0 +1,3 @@ +mod transpose_u32_test; +mod transpose_i32_test; +mod transpose_fp_test; \ No newline at end of file diff --git a/src/tests/operators/tensor/core/transpose/transpose_fp_test.cairo b/src/tests/operators/tensor/core/transpose/transpose_fp_test.cairo new file mode 100644 index 000000000..f0e2bd08f --- /dev/null +++ b/src/tests/operators/tensor/core/transpose/transpose_fp_test.cairo @@ -0,0 +1,2 @@ +mod transpose_fp8x23_test; +mod transpose_fp16x16_test; \ No newline at end of file diff --git a/src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp16x16_test.cairo b/src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp16x16_test.cairo new file mode 100644 index 000000000..8b5dd219d --- /dev/null +++ b/src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp16x16_test.cairo @@ -0,0 +1,227 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + + #[test] + #[should_panic(expected: ('cannot transpose a 1D tensor', ))] + #[available_gas(2000000)] + fn tensor_transpose() { + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + + let tensor = fp_tensor_1x3_helper(); + + let result = tensor.transpose(axes.span()); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::{ + fp_tensor_2x2_helper, fp_tensor_3x2_helper, fp_tensor_2x3_helper + }; + use orion::numbers::fixed_point::core::FixedTrait; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + + #[test] + #[available_gas(20000000)] + fn tensor_transpose() { + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + axes.append(0); + + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + + let tensor = fp_tensor_3x2_helper(); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(3, false), 'result[4] = 3'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 3, 'shape[1] = 3'); + + let tensor = fp_tensor_2x3_helper(); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(3, false), 'result[1] = 3'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(2, false), 'result[4] = 2'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.shape.at(0) == 3, 'shape[0] = 3'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp16x16::{ + fp_tensor_2x2x2_helper, fp_tensor_3x2x2_helper, fp_tensor_2x3_helper + }; + use orion::numbers::fixed_point::core::FixedTrait; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16PartialEq}; + + + #[test] + #[available_gas(20000000)] + fn tensor_transpose() { + let tensor = fp_tensor_2x2x2_helper(); + + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + axes.append(2); + axes.append(0); + + let result = tensor.transpose(axes.span()).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.at(3) == FixedTrait::new_unscaled(5, false), 'result[3] = 5'); + assert(*result.at(4) == FixedTrait::new_unscaled(2, false), 'result[4] = 2'); + assert(*result.at(5) == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); + assert(*result.at(6) == FixedTrait::new_unscaled(3, false), 'result[6] = 3'); + assert(*result.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(2); + axes.append(1); + axes.append(0); + + let result = tensor.transpose(axes.span()).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result.at(2) == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.at(3) == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); + assert(*result.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.at(6) == FixedTrait::new_unscaled(3, false), 'result[6] = 3'); + assert(*result.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(0); + axes.append(2); + axes.append(1); + + let result = tensor.transpose(axes.span()).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.at(3) == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.at(4) == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result.at(5) == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); + assert(*result.at(6) == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); + assert(*result.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + + let tensor = fp_tensor_3x2x2_helper(); + + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + axes.append(2); + axes.append(0); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(5, false), 'result[4] = 5'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(9, false), 'result[5] = 9'); + assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); + assert(*result.data.at(7) == FixedTrait::new_unscaled(6, false), 'result[7] = 6'); + assert(*result.data.at(8) == FixedTrait::new_unscaled(10, false), 'result[8] = 10'); + assert(*result.data.at(9) == FixedTrait::new_unscaled(3, false), 'result[9] = 3'); + assert(*result.data.at(10) == FixedTrait::new_unscaled(7, false), 'result[10] = 7'); + assert(*result.data.at(11) == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.shape.at(2) == 3, 'shape[2] = 3'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(2); + axes.append(1); + axes.append(0); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(6, false), 'result[4] = 6'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(10, false), 'result[5] = 10'); + assert(*result.data.at(6) == FixedTrait::new_unscaled(1, false), 'result[6] = 1'); + assert(*result.data.at(7) == FixedTrait::new_unscaled(5, false), 'result[7] = 5'); + assert(*result.data.at(8) == FixedTrait::new_unscaled(9, false), 'result[8] = 9'); + assert(*result.data.at(9) == FixedTrait::new_unscaled(3, false), 'result[9] = 3'); + assert(*result.data.at(10) == FixedTrait::new_unscaled(7, false), 'result[10] = 7'); + assert(*result.data.at(11) == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.shape.at(2) == 3, 'shape[2] = 3'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(0); + axes.append(2); + axes.append(1); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); + assert(*result.data.at(6) == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); + assert(*result.data.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + assert(*result.data.at(8) == FixedTrait::new_unscaled(8, false), 'result[8] = 8'); + assert(*result.data.at(9) == FixedTrait::new_unscaled(10, false), 'result[9] = 10'); + assert(*result.data.at(10) == FixedTrait::new_unscaled(9, false), 'result[10] = 9'); + assert(*result.data.at(11) == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); + assert(*result.shape.at(0) == 3, 'shape[0] = 3'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.shape.at(2) == 2, 'shape[2] = 2'); + } +} diff --git a/src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp8x23_test.cairo b/src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp8x23_test.cairo new file mode 100644 index 000000000..a160f7020 --- /dev/null +++ b/src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp8x23_test.cairo @@ -0,0 +1,227 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + + #[test] + #[should_panic(expected: ('cannot transpose a 1D tensor', ))] + #[available_gas(2000000)] + fn tensor_transpose() { + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + + let tensor = fp_tensor_1x3_helper(); + + let result = tensor.transpose(axes.span()); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::{ + fp_tensor_2x2_helper, fp_tensor_3x2_helper, fp_tensor_2x3_helper + }; + use orion::numbers::fixed_point::core::FixedTrait; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + + #[test] + #[available_gas(20000000)] + fn tensor_transpose() { + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + axes.append(0); + + let tensor = fp_tensor_2x2_helper(); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + + let tensor = fp_tensor_3x2_helper(); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(3, false), 'result[4] = 3'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 3, 'shape[1] = 3'); + + let tensor = fp_tensor_2x3_helper(); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(3, false), 'result[1] = 3'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(2, false), 'result[4] = 2'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.shape.at(0) == 3, 'shape[0] = 3'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::fixed_point::fp8x23::{ + fp_tensor_2x2x2_helper, fp_tensor_3x2x2_helper, fp_tensor_2x3_helper + }; + use orion::numbers::fixed_point::core::FixedTrait; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + + #[test] + #[available_gas(20000000)] + fn tensor_transpose() { + let tensor = fp_tensor_2x2x2_helper(); + + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + axes.append(2); + axes.append(0); + + let result = tensor.transpose(axes.span()).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.at(3) == FixedTrait::new_unscaled(5, false), 'result[3] = 5'); + assert(*result.at(4) == FixedTrait::new_unscaled(2, false), 'result[4] = 2'); + assert(*result.at(5) == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); + assert(*result.at(6) == FixedTrait::new_unscaled(3, false), 'result[6] = 3'); + assert(*result.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(2); + axes.append(1); + axes.append(0); + + let result = tensor.transpose(axes.span()).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result.at(2) == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result.at(3) == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); + assert(*result.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.at(6) == FixedTrait::new_unscaled(3, false), 'result[6] = 3'); + assert(*result.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(0); + axes.append(2); + axes.append(1); + + let result = tensor.transpose(axes.span()).data; + + assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.at(3) == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.at(4) == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result.at(5) == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); + assert(*result.at(6) == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); + assert(*result.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + + let tensor = fp_tensor_3x2x2_helper(); + + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + axes.append(2); + axes.append(0); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(5, false), 'result[4] = 5'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(9, false), 'result[5] = 9'); + assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); + assert(*result.data.at(7) == FixedTrait::new_unscaled(6, false), 'result[7] = 6'); + assert(*result.data.at(8) == FixedTrait::new_unscaled(10, false), 'result[8] = 10'); + assert(*result.data.at(9) == FixedTrait::new_unscaled(3, false), 'result[9] = 3'); + assert(*result.data.at(10) == FixedTrait::new_unscaled(7, false), 'result[10] = 7'); + assert(*result.data.at(11) == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.shape.at(2) == 3, 'shape[2] = 3'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(2); + axes.append(1); + axes.append(0); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(6, false), 'result[4] = 6'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(10, false), 'result[5] = 10'); + assert(*result.data.at(6) == FixedTrait::new_unscaled(1, false), 'result[6] = 1'); + assert(*result.data.at(7) == FixedTrait::new_unscaled(5, false), 'result[7] = 5'); + assert(*result.data.at(8) == FixedTrait::new_unscaled(9, false), 'result[8] = 9'); + assert(*result.data.at(9) == FixedTrait::new_unscaled(3, false), 'result[9] = 3'); + assert(*result.data.at(10) == FixedTrait::new_unscaled(7, false), 'result[10] = 7'); + assert(*result.data.at(11) == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.shape.at(2) == 3, 'shape[2] = 3'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(0); + axes.append(2); + axes.append(1); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.data.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.data.at(3) == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.data.at(4) == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result.data.at(5) == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); + assert(*result.data.at(6) == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); + assert(*result.data.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + assert(*result.data.at(8) == FixedTrait::new_unscaled(8, false), 'result[8] = 8'); + assert(*result.data.at(9) == FixedTrait::new_unscaled(10, false), 'result[9] = 10'); + assert(*result.data.at(10) == FixedTrait::new_unscaled(9, false), 'result[10] = 9'); + assert(*result.data.at(11) == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); + assert(*result.shape.at(0) == 3, 'shape[0] = 3'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.shape.at(2) == 2, 'shape[2] = 2'); + } +} diff --git a/src/tests/operators/tensor/core/transpose/transpose_i32_test.cairo b/src/tests/operators/tensor/core/transpose/transpose_i32_test.cairo new file mode 100644 index 000000000..b20436fae --- /dev/null +++ b/src/tests/operators/tensor/core/transpose/transpose_i32_test.cairo @@ -0,0 +1,223 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + + + #[test] + #[should_panic(expected: ('cannot transpose a 1D tensor', ))] + #[available_gas(2000000)] + fn tensor_transpose() { + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + + let tensor = i32_tensor_1x3_helper(); + + let result = tensor.transpose(axes.span()); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::{ + i32_tensor_2x2_helper, i32_tensor_3x2_helper, i32_tensor_2x3_helper + }; + + + #[test] + #[available_gas(20000000)] + fn tensor_transpose() { + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + axes.append(0); + + let tensor = i32_tensor_2x2_helper(); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0).mag == 0, 'result[0] = 0'); + assert(*result.data.at(1).mag == 2, 'result[1] = 2'); + assert(*result.data.at(2).mag == 1, 'result[2] = 1'); + assert(*result.data.at(3).mag == 3, 'result[3] = 3'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + + let tensor = i32_tensor_3x2_helper(); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0).mag == 0, 'result[0] = 0'); + assert(*result.data.at(1).mag == 2, 'result[1] = 2'); + assert(*result.data.at(2).mag == 4, 'result[2] = 4'); + assert(*result.data.at(3).mag == 1, 'result[3] = 1'); + assert(*result.data.at(4).mag == 3, 'result[4] = 3'); + assert(*result.data.at(5).mag == 5, 'result[5] = 5'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 3, 'shape[1] = 3'); + + let tensor = i32_tensor_2x3_helper(); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0).mag == 0, 'result[0] = 0'); + assert(*result.data.at(1).mag == 3, 'result[1] = 3'); + assert(*result.data.at(2).mag == 1, 'result[2] = 1'); + assert(*result.data.at(3).mag == 4, 'result[3] = 4'); + assert(*result.data.at(4).mag == 2, 'result[4] = 2'); + assert(*result.data.at(5).mag == 5, 'result[5] = 5'); + assert(*result.shape.at(0) == 3, 'shape[0] = 3'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::{ + i32_tensor_2x2x2_helper, i32_tensor_3x2x2_helper, i32_tensor_2x3_helper + }; + + #[test] + #[available_gas(20000000)] + fn tensor_transpose() { + let tensor = i32_tensor_2x2x2_helper(); + + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + axes.append(2); + axes.append(0); + + let result = tensor.transpose(axes.span()).data; + + assert(*result.at(0).mag == 0, 'result[0] = 0'); + assert(*result.at(1).mag == 4, 'result[1] = 4'); + assert(*result.at(2).mag == 1, 'result[2] = 1'); + assert(*result.at(3).mag == 5, 'result[3] = 5'); + assert(*result.at(4).mag == 2, 'result[4] = 2'); + assert(*result.at(5).mag == 6, 'result[5] = 6'); + assert(*result.at(6).mag == 3, 'result[6] = 3'); + assert(*result.at(7).mag == 7, 'result[7] = 7'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(2); + axes.append(1); + axes.append(0); + + let result = tensor.transpose(axes.span()).data; + + assert(*result.at(0).mag == 0, 'result[0] = 0'); + assert(*result.at(1).mag == 4, 'result[1] = 4'); + assert(*result.at(2).mag == 2, 'result[2] = 2'); + assert(*result.at(3).mag == 6, 'result[3] = 6'); + assert(*result.at(4).mag == 1, 'result[4] = 1'); + assert(*result.at(5).mag == 5, 'result[5] = 5'); + assert(*result.at(6).mag == 3, 'result[6] = 3'); + assert(*result.at(7).mag == 7, 'result[7] = 7'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(0); + axes.append(2); + axes.append(1); + + let result = tensor.transpose(axes.span()).data; + + assert(*result.at(0).mag == 0, 'result[0] = 0'); + assert(*result.at(1).mag == 2, 'result[1] = 2'); + assert(*result.at(2).mag == 1, 'result[2] = 1'); + assert(*result.at(3).mag == 3, 'result[3] = 3'); + assert(*result.at(4).mag == 4, 'result[4] = 4'); + assert(*result.at(5).mag == 6, 'result[5] = 6'); + assert(*result.at(6).mag == 5, 'result[6] = 5'); + assert(*result.at(7).mag == 7, 'result[7] = 7'); + + let tensor = i32_tensor_3x2x2_helper(); + + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + axes.append(2); + axes.append(0); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0).mag == 0, 'result[0] = 0'); + assert(*result.data.at(1).mag == 4, 'result[1] = 4'); + assert(*result.data.at(2).mag == 8, 'result[2] = 8'); + assert(*result.data.at(3).mag == 1, 'result[3] = 1'); + assert(*result.data.at(4).mag == 5, 'result[4] = 5'); + assert(*result.data.at(5).mag == 9, 'result[5] = 9'); + assert(*result.data.at(6).mag == 2, 'result[6] = 2'); + assert(*result.data.at(7).mag == 6, 'result[7] = 6'); + assert(*result.data.at(8).mag == 10, 'result[8] = 10'); + assert(*result.data.at(9).mag == 3, 'result[9] = 3'); + assert(*result.data.at(10).mag == 7, 'result[10] = 7'); + assert(*result.data.at(11).mag == 11, 'result[11] = 11'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.shape.at(2) == 3, 'shape[2] = 3'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(2); + axes.append(1); + axes.append(0); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0).mag == 0, 'result[0] = 0'); + assert(*result.data.at(1).mag == 4, 'result[1] = 4'); + assert(*result.data.at(2).mag == 8, 'result[2] = 8'); + assert(*result.data.at(3).mag == 2, 'result[3] = 2'); + assert(*result.data.at(4).mag == 6, 'result[4] = 6'); + assert(*result.data.at(5).mag == 10, 'result[5] = 10'); + assert(*result.data.at(6).mag == 1, 'result[6] = 1'); + assert(*result.data.at(7).mag == 5, 'result[7] = 5'); + assert(*result.data.at(8).mag == 9, 'result[8] = 9'); + assert(*result.data.at(9).mag == 3, 'result[9] = 3'); + assert(*result.data.at(10).mag == 7, 'result[10] = 7'); + assert(*result.data.at(11).mag == 11, 'result[11] = 11'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.shape.at(2) == 3, 'shape[2] = 3'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(0); + axes.append(2); + axes.append(1); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0).mag == 0, 'result[0] = 0'); + assert(*result.data.at(1).mag == 2, 'result[1] = 2'); + assert(*result.data.at(2).mag == 1, 'result[2] = 1'); + assert(*result.data.at(3).mag == 3, 'result[3] = 3'); + assert(*result.data.at(4).mag == 4, 'result[4] = 4'); + assert(*result.data.at(5).mag == 6, 'result[5] = 6'); + assert(*result.data.at(6).mag == 5, 'result[6] = 5'); + assert(*result.data.at(7).mag == 7, 'result[7] = 7'); + assert(*result.data.at(8).mag == 8, 'result[8] = 8'); + assert(*result.data.at(9).mag == 10, 'result[9] = 10'); + assert(*result.data.at(10).mag == 9, 'result[10] = 9'); + assert(*result.data.at(11).mag == 11, 'result[11] = 11'); + assert(*result.shape.at(0) == 3, 'shape[0] = 3'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.shape.at(2) == 2, 'shape[2] = 2'); + } +} diff --git a/src/tests/operators/tensor/core/transpose/transpose_u32_test.cairo b/src/tests/operators/tensor/core/transpose/transpose_u32_test.cairo new file mode 100644 index 000000000..902c0f5c0 --- /dev/null +++ b/src/tests/operators/tensor/core/transpose/transpose_u32_test.cairo @@ -0,0 +1,223 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + + + #[test] + #[should_panic(expected: ('cannot transpose a 1D tensor', ))] + #[available_gas(2000000)] + fn tensor_transpose() { + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + + let tensor = u32_tensor_1x3_helper(); + + let result = tensor.transpose(axes.span()); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::{ + u32_tensor_2x2_helper, u32_tensor_3x2_helper, u32_tensor_2x3_helper + }; + + + #[test] + #[available_gas(20000000)] + fn tensor_transpose() { + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + axes.append(0); + + let tensor = u32_tensor_2x2_helper(); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 2, 'result[1] = 2'); + assert(*result.data.at(2) == 1, 'result[2] = 1'); + assert(*result.data.at(3) == 3, 'result[3] = 3'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + + let tensor = u32_tensor_3x2_helper(); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 2, 'result[1] = 2'); + assert(*result.data.at(2) == 4, 'result[2] = 4'); + assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data.at(4) == 3, 'result[4] = 3'); + assert(*result.data.at(5) == 5, 'result[5] = 5'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 3, 'shape[1] = 3'); + + let tensor = u32_tensor_2x3_helper(); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 3, 'result[1] = 3'); + assert(*result.data.at(2) == 1, 'result[2] = 1'); + assert(*result.data.at(3) == 4, 'result[3] = 4'); + assert(*result.data.at(4) == 2, 'result[4] = 2'); + assert(*result.data.at(5) == 5, 'result[5] = 5'); + assert(*result.shape.at(0) == 3, 'shape[0] = 3'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::{ + u32_tensor_2x2x2_helper, u32_tensor_3x2x2_helper, u32_tensor_2x3_helper + }; + + #[test] + #[available_gas(20000000)] + fn tensor_transpose() { + let tensor = u32_tensor_2x2x2_helper(); + + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + axes.append(2); + axes.append(0); + + let result = tensor.transpose(axes.span()).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 4, 'result[1] = 4'); + assert(*result.at(2) == 1, 'result[2] = 1'); + assert(*result.at(3) == 5, 'result[3] = 5'); + assert(*result.at(4) == 2, 'result[4] = 2'); + assert(*result.at(5) == 6, 'result[5] = 6'); + assert(*result.at(6) == 3, 'result[6] = 3'); + assert(*result.at(7) == 7, 'result[7] = 7'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(2); + axes.append(1); + axes.append(0); + + let result = tensor.transpose(axes.span()).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 4, 'result[1] = 4'); + assert(*result.at(2) == 2, 'result[2] = 2'); + assert(*result.at(3) == 6, 'result[3] = 6'); + assert(*result.at(4) == 1, 'result[4] = 1'); + assert(*result.at(5) == 5, 'result[5] = 5'); + assert(*result.at(6) == 3, 'result[6] = 3'); + assert(*result.at(7) == 7, 'result[7] = 7'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(0); + axes.append(2); + axes.append(1); + + let result = tensor.transpose(axes.span()).data; + + assert(*result.at(0) == 0, 'result[0] = 0'); + assert(*result.at(1) == 2, 'result[1] = 2'); + assert(*result.at(2) == 1, 'result[2] = 1'); + assert(*result.at(3) == 3, 'result[3] = 3'); + assert(*result.at(4) == 4, 'result[4] = 4'); + assert(*result.at(5) == 6, 'result[5] = 6'); + assert(*result.at(6) == 5, 'result[6] = 5'); + assert(*result.at(7) == 7, 'result[7] = 7'); + + let tensor = u32_tensor_3x2x2_helper(); + + let mut axes: Array = ArrayTrait::new(); + axes.append(1); + axes.append(2); + axes.append(0); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 4, 'result[1] = 4'); + assert(*result.data.at(2) == 8, 'result[2] = 8'); + assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data.at(4) == 5, 'result[4] = 5'); + assert(*result.data.at(5) == 9, 'result[5] = 9'); + assert(*result.data.at(6) == 2, 'result[6] = 2'); + assert(*result.data.at(7) == 6, 'result[7] = 6'); + assert(*result.data.at(8) == 10, 'result[8] = 10'); + assert(*result.data.at(9) == 3, 'result[9] = 3'); + assert(*result.data.at(10) == 7, 'result[10] = 7'); + assert(*result.data.at(11) == 11, 'result[11] = 11'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.shape.at(2) == 3, 'shape[2] = 3'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(2); + axes.append(1); + axes.append(0); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 4, 'result[1] = 4'); + assert(*result.data.at(2) == 8, 'result[2] = 8'); + assert(*result.data.at(3) == 2, 'result[3] = 2'); + assert(*result.data.at(4) == 6, 'result[4] = 6'); + assert(*result.data.at(5) == 10, 'result[5] = 10'); + assert(*result.data.at(6) == 1, 'result[6] = 1'); + assert(*result.data.at(7) == 5, 'result[7] = 5'); + assert(*result.data.at(8) == 9, 'result[8] = 9'); + assert(*result.data.at(9) == 3, 'result[9] = 3'); + assert(*result.data.at(10) == 7, 'result[10] = 7'); + assert(*result.data.at(11) == 11, 'result[11] = 11'); + assert(*result.shape.at(0) == 2, 'shape[0] = 2'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.shape.at(2) == 3, 'shape[2] = 3'); + + let mut axes: Array = ArrayTrait::new(); + axes.append(0); + axes.append(2); + axes.append(1); + + let result = tensor.transpose(axes.span()); + + assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data.at(1) == 2, 'result[1] = 2'); + assert(*result.data.at(2) == 1, 'result[2] = 1'); + assert(*result.data.at(3) == 3, 'result[3] = 3'); + assert(*result.data.at(4) == 4, 'result[4] = 4'); + assert(*result.data.at(5) == 6, 'result[5] = 6'); + assert(*result.data.at(6) == 5, 'result[6] = 5'); + assert(*result.data.at(7) == 7, 'result[7] = 7'); + assert(*result.data.at(8) == 8, 'result[8] = 8'); + assert(*result.data.at(9) == 10, 'result[9] = 10'); + assert(*result.data.at(10) == 9, 'result[10] = 9'); + assert(*result.data.at(11) == 11, 'result[11] = 11'); + assert(*result.shape.at(0) == 3, 'shape[0] = 3'); + assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.shape.at(2) == 2, 'shape[2] = 2'); + } +} From 8cefc76029e24b667e202da0e36baf1557068c90 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 21 Jun 2023 18:21:54 +0300 Subject: [PATCH 040/126] Update CHANGELOG.md --- docs/CHANGELOG.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md index e3956cf25..1e2af543f 100644 --- a/docs/CHANGELOG.md +++ b/docs/CHANGELOG.md @@ -4,6 +4,11 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [Unreleased] - 2023-06-21 + +### Changed +- Refactor tensor tests to cover n-dimensions + ## [Unreleased] - 2023-06-20 ### Changed From 45823a64c48bd91f920bcae1b1ee97c080f400b1 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Thu, 22 Jun 2023 09:16:41 +0300 Subject: [PATCH 041/126] refactor leaky_relu tests --- .../leaky_relu/leaky_relu_i32_test.cairo | 387 ++++++++++++++-- .../leaky_relu/leaky_relu_u32_test.cairo | 416 +++++++++++++++--- 2 files changed, 703 insertions(+), 100 deletions(-) diff --git a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo index 8eb08aa33..14c395c09 100644 --- a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo +++ b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo @@ -1,49 +1,342 @@ -use core::option::OptionTrait; -use array::ArrayTrait; -use array::SpanTrait; -use traits::Into; -use core::integer::NumericLiteral; - -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32::NN_i32; -use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, ONE, FP8x23Into}; - -#[test] -#[available_gas(2000000)] -fn leaky_relu_i32_test() { - let mut shape = ArrayTrait::::new(); - shape.append(2); - shape.append(3); - - let mut data = ArrayTrait::::new(); - let val_1 = IntegerTrait::new(1, false); - let val_2 = IntegerTrait::new(2, false); - let val_3 = IntegerTrait::new(1, true); - let val_4 = IntegerTrait::new(2, true); - let val_5 = IntegerTrait::new(0, false); - let val_6 = IntegerTrait::new(0, false); - - data.append(val_1); - data.append(val_2); - data.append(val_3); - data.append(val_4); - data.append(val_5); - data.append(val_6); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); - let alpha = FixedTrait::new(838861, false); // 0.1 - let threshold = IntegerTrait::new(0, false); - - let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - - assert((*result.data.at(0)).into() == 8388608, 'result[0] == 8388608'); // 1 - assert((*result.data.at(3)).into() == -1677722, 'result[3] == - 1677722'); // 2 * 0.1 = - 0.2 - assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, ONE, FP8x23Into}; + + #[test] + #[available_gas(2000000)] + fn leaky_relu() { + let mut shape = ArrayTrait::::new(); + shape.append(6); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(1, false); + let val_2 = IntegerTrait::new(2, false); + let val_3 = IntegerTrait::new(1, true); + let val_4 = IntegerTrait::new(2, true); + let val_5 = IntegerTrait::new(0, false); + let val_6 = IntegerTrait::new(0, false); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let alpha = FixedTrait::new(838861, false); // 0.1 + let threshold = IntegerTrait::new(0, false); + + let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); + + assert((*result.data.at(0)).into() == 8388608, 'result[0] == 8388608'); // 1 + assert( + (*result.data.at(3)).into() == -1677722, 'result[3] == - 1677722' + ); // 2 * 0.1 = - 0.2 + assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, ONE, FP16x16Into + }; + + #[test] + #[available_gas(2000000)] + fn leaky_relu() { + let mut shape = ArrayTrait::::new(); + shape.append(6); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(1, false); + let val_2 = IntegerTrait::new(2, false); + let val_3 = IntegerTrait::new(1, true); + let val_4 = IntegerTrait::new(2, true); + let val_5 = IntegerTrait::new(0, false); + let val_6 = IntegerTrait::new(0, false); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let alpha = FixedTrait::new(6554, false); // 0.1 + let threshold = IntegerTrait::new(0, false); + + let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); + + assert((*result.data.at(0)).into() == 65536, 'result[0] == 65536'); // 1 + assert( + (*result.data.at(3)).into() == -13108, 'result[3] == - 13108' + ); // 2 * 0.1 = - 0.2 + assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); + } + } +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, ONE, FP8x23Into}; + + #[test] + #[available_gas(2000000)] + fn leaky_relu() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(3); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(1, false); + let val_2 = IntegerTrait::new(2, false); + let val_3 = IntegerTrait::new(1, true); + let val_4 = IntegerTrait::new(2, true); + let val_5 = IntegerTrait::new(0, false); + let val_6 = IntegerTrait::new(0, false); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let alpha = FixedTrait::new(838861, false); // 0.1 + let threshold = IntegerTrait::new(0, false); + + let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); + + assert((*result.data.at(0)).into() == 8388608, 'result[0] == 8388608'); // 1 + assert( + (*result.data.at(3)).into() == -1677722, 'result[3] == - 1677722' + ); // 2 * 0.1 = - 0.2 + assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, ONE, FP16x16Into + }; + + #[test] + #[available_gas(2000000)] + fn leaky_relu() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(3); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(1, false); + let val_2 = IntegerTrait::new(2, false); + let val_3 = IntegerTrait::new(1, true); + let val_4 = IntegerTrait::new(2, true); + let val_5 = IntegerTrait::new(0, false); + let val_6 = IntegerTrait::new(0, false); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let alpha = FixedTrait::new(6554, false); // 0.1 + let threshold = IntegerTrait::new(0, false); + + let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); + + assert((*result.data.at(0)).into() == 65536, 'result[0] == 65536'); // 1 + assert( + (*result.data.at(3)).into() == -13108, 'result[3] == - 13108' + ); // 2 * 0.1 = - 0.2 + assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); + } + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, ONE, FP8x23Into}; + + #[test] + #[available_gas(2000000)] + fn leaky_relu() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(1, false); + let val_2 = IntegerTrait::new(2, false); + let val_3 = IntegerTrait::new(1, true); + let val_4 = IntegerTrait::new(2, true); + let val_5 = IntegerTrait::new(0, false); + let val_6 = IntegerTrait::new(0, false); + let val_7 = IntegerTrait::new(0, false); + let val_8 = IntegerTrait::new(0, false); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let alpha = FixedTrait::new(838861, false); // 0.1 + let threshold = IntegerTrait::new(0, false); + + let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); + + assert((*result.data.at(0)).into() == 8388608, 'result[0] == 8388608'); // 1 + assert( + (*result.data.at(3)).into() == -1677722, 'result[3] == - 1677722' + ); // 2 * 0.1 = - 0.2 + assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, ONE, FP16x16Into + }; + + #[test] + #[available_gas(2000000)] + fn leaky_relu() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(1, false); + let val_2 = IntegerTrait::new(2, false); + let val_3 = IntegerTrait::new(1, true); + let val_4 = IntegerTrait::new(2, true); + let val_5 = IntegerTrait::new(0, false); + let val_6 = IntegerTrait::new(0, false); + let val_7 = IntegerTrait::new(0, false); + let val_8 = IntegerTrait::new(0, false); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let alpha = FixedTrait::new(6554, false); // 0.1 + let threshold = IntegerTrait::new(0, false); + + let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); + + assert((*result.data.at(0)).into() == 65536, 'result[0] == 65536'); // 1 + assert( + (*result.data.at(3)).into() == -13108, 'result[3] == - 13108' + ); // 2 * 0.1 = - 0.2 + assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); + } + } } diff --git a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo index e9ba81712..95f2b655a 100644 --- a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo +++ b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo @@ -1,55 +1,365 @@ -use core::option::OptionTrait; -use core::traits::Into; -use array::ArrayTrait; -use array::SpanTrait; - -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; -use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32::NN_u32; -use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; -use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; - -#[test] -#[available_gas(2000000)] -fn leaky_relu_u32_test() { - let mut shape = ArrayTrait::::new(); - shape.append(2); - shape.append(3); - - let mut data = ArrayTrait::::new(); - let val_1 = 4; - let val_2 = 3; - let val_3 = 2; - let val_4 = 1; - let val_5 = 0; - let val_6 = 0; - - data.append(val_1); - data.append(val_2); - data.append(val_3); - data.append(val_4); - data.append(val_5); - data.append(val_6); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); - let alpha = FixedTrait::new(838861, false); // 0.1 - let threshold = 3; - let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - - let data = *result.data.at(0); - assert(data == FixedTrait::new(33554432, false), 'result[0] == 33554432'); // 4 - - let data = *result.data.at(1); - assert(data == FixedTrait::new(25165824, false), 'result[1] == 25165824'); // 3 - - let data = *result.data.at(3); - assert(data == FixedTrait::new(838861, false), 'result[3] == 838861'); // 0.1 - - let data =*result.data.at(5); - assert(data == FixedTrait::new(0, false), 'result[5] == 0'); +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(2000000)] + fn leaky_relu() { + let mut shape = ArrayTrait::::new(); + shape.append(6); + + let mut data = ArrayTrait::::new(); + let val_1 = 4; + let val_2 = 3; + let val_3 = 2; + let val_4 = 1; + let val_5 = 0; + let val_6 = 0; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let alpha = FixedTrait::new(838861, false); // 0.1 + let threshold = 3; + let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); + + let data = *result.data.at(0); + assert(data == FixedTrait::new(33554432, false), 'result[0] == 33554432'); // 4 + + let data = *result.data.at(1); + assert(data == FixedTrait::new(25165824, false), 'result[1] == 25165824'); // 3 + + let data = *result.data.at(3); + assert(data == FixedTrait::new(838861, false), 'result[3] == 838861'); // 0.1 + + let data = *result.data.at(5); + assert(data == FixedTrait::new(0, false), 'result[5] == 0'); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16PartialEq + }; + + #[test] + #[available_gas(2000000)] + fn leaky_relu() { + let mut shape = ArrayTrait::::new(); + shape.append(6); + + let mut data = ArrayTrait::::new(); + let val_1 = 4; + let val_2 = 3; + let val_3 = 2; + let val_4 = 1; + let val_5 = 0; + let val_6 = 0; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let alpha = FixedTrait::new(6554, false); // 0.1 + let threshold = 3; + let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); + + let data = *result.data.at(0); + assert(data == FixedTrait::new(262144, false), 'result[0] == 262144'); // 4 + + let data = *result.data.at(1); + assert(data == FixedTrait::new(196608, false), 'result[1] == 196608'); // 3 + + let data = *result.data.at(3); + assert(data == FixedTrait::new(6554, false), 'result[3] == 6554'); // 0.1 + + let data = *result.data.at(5); + assert(data == FixedTrait::new(0, false), 'result[5] == 0'); + } + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(2000000)] + fn leaky_relu() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(3); + + let mut data = ArrayTrait::::new(); + let val_1 = 4; + let val_2 = 3; + let val_3 = 2; + let val_4 = 1; + let val_5 = 0; + let val_6 = 0; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let alpha = FixedTrait::new(838861, false); // 0.1 + let threshold = 3; + let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); + + let data = *result.data.at(0); + assert(data == FixedTrait::new(33554432, false), 'result[0] == 33554432'); // 4 + + let data = *result.data.at(1); + assert(data == FixedTrait::new(25165824, false), 'result[1] == 25165824'); // 3 + + let data = *result.data.at(3); + assert(data == FixedTrait::new(838861, false), 'result[3] == 838861'); // 0.1 + + let data = *result.data.at(5); + assert(data == FixedTrait::new(0, false), 'result[5] == 0'); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16PartialEq + }; + + #[test] + #[available_gas(2000000)] + fn leaky_relu() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(3); + + let mut data = ArrayTrait::::new(); + let val_1 = 4; + let val_2 = 3; + let val_3 = 2; + let val_4 = 1; + let val_5 = 0; + let val_6 = 0; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let alpha = FixedTrait::new(6554, false); // 0.1 + let threshold = 3; + let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); + + let data = *result.data.at(0); + assert(data == FixedTrait::new(262144, false), 'result[0] == 262144'); // 4 + + let data = *result.data.at(1); + assert(data == FixedTrait::new(196608, false), 'result[1] == 196608'); // 3 + + let data = *result.data.at(3); + assert(data == FixedTrait::new(6554, false), 'result[3] == 6554'); // 0.1 + + let data = *result.data.at(5); + assert(data == FixedTrait::new(0, false), 'result[5] == 0'); + } + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + + #[test] + #[available_gas(2000000)] + fn leaky_relu() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 4; + let val_2 = 3; + let val_3 = 2; + let val_4 = 1; + let val_5 = 0; + let val_6 = 0; + let val_7 = 0; + let val_8 = 0; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let alpha = FixedTrait::new(838861, false); // 0.1 + let threshold = 3; + let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); + + let data = *result.data.at(0); + assert(data == FixedTrait::new(33554432, false), 'result[0] == 33554432'); // 4 + + let data = *result.data.at(1); + assert(data == FixedTrait::new(25165824, false), 'result[1] == 25165824'); // 3 + + let data = *result.data.at(3); + assert(data == FixedTrait::new(838861, false), 'result[3] == 838861'); // 0.1 + + let data = *result.data.at(5); + assert(data == FixedTrait::new(0, false), 'result[5] == 0'); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16PartialEq + }; + + #[test] + #[available_gas(2000000)] + fn leaky_relu() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 4; + let val_2 = 3; + let val_3 = 2; + let val_4 = 1; + let val_5 = 0; + let val_6 = 0; + let val_7 = 0; + let val_8 = 0; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let alpha = FixedTrait::new(6554, false); // 0.1 + let threshold = 3; + let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); + + let data = *result.data.at(0); + assert(data == FixedTrait::new(262144, false), 'result[0] == 262144'); // 4 + + let data = *result.data.at(1); + assert(data == FixedTrait::new(196608, false), 'result[1] == 196608'); // 3 + + let data = *result.data.at(3); + assert(data == FixedTrait::new(6554, false), 'result[3] == 6554'); // 0.1 + + let data = *result.data.at(5); + assert(data == FixedTrait::new(0, false), 'result[5] == 0'); + } + } } From 08dba46facfb0e3bef3a91285fff0cec6acf84bd Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Thu, 22 Jun 2023 11:40:27 +0300 Subject: [PATCH 042/126] refactor logsoftmax tests --- .../operators/nn/functional/logsoftmax.cairo | 3 +- .../logsoftmax/logsoftmax_i32_test.cairo | 300 ++++++++++++++++++ .../logsoftmax/logsoftmax_test.cairo | 32 -- .../logsoftmax/logsoftmax_u32_test.cairo | 300 ++++++++++++++++++ 4 files changed, 602 insertions(+), 33 deletions(-) create mode 100644 src/tests/operators/nn/functional/logsoftmax/logsoftmax_i32_test.cairo delete mode 100644 src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo create mode 100644 src/tests/operators/nn/functional/logsoftmax/logsoftmax_u32_test.cairo diff --git a/src/tests/operators/nn/functional/logsoftmax.cairo b/src/tests/operators/nn/functional/logsoftmax.cairo index 342aed7a4..542746d2d 100644 --- a/src/tests/operators/nn/functional/logsoftmax.cairo +++ b/src/tests/operators/nn/functional/logsoftmax.cairo @@ -1 +1,2 @@ -mod logsoftmax_test; \ No newline at end of file +mod logsoftmax_i32_test; +mod logsoftmax_u32_test; \ No newline at end of file diff --git a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_i32_test.cairo b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_i32_test.cairo new file mode 100644 index 000000000..5dc140dbf --- /dev/null +++ b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_i32_test.cairo @@ -0,0 +1,300 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod fp8x23 { + use array::SpanTrait; + use traits::Into; + + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(20000000)] + fn logsoftmax() { + let tensor = i32_tensor_1x3_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::logsoftmax(@tensor, 0).data; + + assert((*result[0]).into() == -20196463, 'result[0] = -2.40760596'); + assert((*result[1]).into() == -11807856, 'result[1] = -1.40760596'); + assert((*result[2]).into() == -3419249, 'result[2] = -0.40760596'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn wrong_axis() { + let tensor = i32_tensor_1x3_helper(); + let mut result = NNTrait::logsoftmax(@tensor, 1); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::SpanTrait; + use traits::Into; + + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Into}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(20000000)] + fn logsoftmax() { + let tensor = i32_tensor_1x3_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::logsoftmax(@tensor, 0).data; + + assert((*result[0]).into() == -157788, 'result[0] = -2.40760596'); + assert((*result[1]).into() == -92250, 'result[1] = -1.40760596'); + assert((*result[2]).into() == -26710, 'result[2] = -0.40760596'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn wrong_axis() { + let tensor = i32_tensor_1x3_helper(); + let mut result = NNTrait::logsoftmax(@tensor, 1); + } + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod fp8x23 { + use array::SpanTrait; + use traits::Into; + + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(20000000)] + fn logsoftmax() { + let tensor = i32_tensor_2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::logsoftmax(@tensor, 0).data; + + assert((*result[0]).into() == -17841970, 'result[0] = -2.12693'); + assert((*result[1]).into() == -17841970, 'result[1] = -2.12695'); + assert((*result[2]).into() == -1064751, 'result[2] = -0.12692'); + assert((*result[3]).into() == -1064751, 'result[3] = -0.12692'); + + let mut result = NNTrait::logsoftmax(@tensor, 1).data; + + assert((*result.at(0)).into() == -11016451, 'result[0] = -1.3134'); + assert((*result.at(1)).into() == -2627827, 'result[1] = -0.3132'); + assert((*result.at(2)).into() == -11016460, 'result[2] = -1.3134'); + assert((*result.at(3)).into() == -2627829, 'result[3] = -0.3132'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn wrong_axis() { + let tensor = i32_tensor_2x2_helper(); + let mut result = NNTrait::logsoftmax(@tensor, 2); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::SpanTrait; + use traits::Into; + + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Into}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(20000000)] + fn logsoftmax() { + let tensor = i32_tensor_2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::logsoftmax(@tensor, 0).data; + + assert((*result[0]).into() == -139390, 'result[0] = -2.12693'); + assert((*result[1]).into() == -139390, 'result[1] = -2.12695'); + assert((*result[2]).into() == -8317, 'result[2] = -0.12692'); + assert((*result[3]).into() == -8317, 'result[3] = -0.12692'); + + let mut result = NNTrait::logsoftmax(@tensor, 1).data; + + assert((*result.at(0)).into() == -86024, 'result[0] = -1.3134'); + assert((*result.at(1)).into() == -20523, 'result[1] = -0.3132'); + assert((*result.at(2)).into() == -86024, 'result[2] = -1.3134'); + assert((*result.at(3)).into() == -20523, 'result[3] = -0.3132'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn wrong_axis() { + let tensor = i32_tensor_2x2_helper(); + let mut result = NNTrait::logsoftmax(@tensor, 2); + } + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod fp8x23 { + use array::SpanTrait; + use traits::Into; + + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(200000000)] + fn logsoftmax() { + let tensor = i32_tensor_2x2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::logsoftmax(@tensor, 0).data; + + assert((*result[0]).into() == -33706687, 'result[0] = -4.01814993'); + assert((*result[1]).into() == -33706687, 'result[1] = -4.01814993'); + assert((*result[2]).into() == -33706687, 'result[2] = -4.01814993'); + assert((*result[3]).into() == -33706687, 'result[3] = -4.01814993'); + assert((*result[4]).into() == -152253, 'result[4] = -0.01814993'); + assert((*result[5]).into() == -152253, 'result[5] = -0.01814993'); + assert((*result[6]).into() == -152253, 'result[6] = -0.01814993'); + assert((*result[7]).into() == -152253, 'result[7] = -0.01814993'); + + let mut result = NNTrait::logsoftmax(@tensor, 1).data; + + assert((*result[0]).into() == -17841970, 'result[0] = -2.12692801'); + assert((*result[1]).into() == -17841970, 'result[1] = -2.12692801'); + assert((*result[2]).into() == -1064751, 'result[2] = -0.12692801'); + assert((*result[3]).into() == -1064751, 'result[3] = -0.12692801'); + assert((*result[4]).into() == -17841970, 'result[4] = -2.12692801'); + assert((*result[5]).into() == -17841970, 'result[5] = -2.12692801'); + assert((*result[6]).into() == -1064751, 'result[6] = -0.12692801'); + assert((*result[7]).into() == -1064751, 'result[7] = -0.12692801'); + + let mut result = NNTrait::logsoftmax(@tensor, 2).data; + + assert((*result[0]).into() == -11016451, 'result[0] = -1.31326169'); + assert((*result[1]).into() == -2627827, 'result[1] = -0.31326169'); + assert((*result[2]).into() == -11016460, 'result[2] = -1.31326169'); + assert((*result[3]).into() == -2627829, 'result[3] = -0.31326169'); + assert((*result[4]).into() == -11016451, 'result[4] = -1.31326169'); + assert((*result[5]).into() == -2627827, 'result[5] = -0.31326169'); + assert((*result[6]).into() == -11016451, 'result[6] = -1.31326169'); + assert((*result[7]).into() == -2627827, 'result[7] = -0.31326169'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn wrong_axis() { + let tensor = i32_tensor_2x2x2_helper(); + let mut result = NNTrait::logsoftmax(@tensor, 3); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::SpanTrait; + use traits::Into; + + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Into}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(200000000)] + fn logsoftmax() { + let tensor = i32_tensor_2x2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::logsoftmax(@tensor, 0).data; + + assert((*result[0]).into() == -263347, 'result[0] = -4.01814993'); + assert((*result[1]).into() == -263347, 'result[1] = -4.01814993'); + assert((*result[2]).into() == -263347, 'result[2] = -4.01814993'); + assert((*result[3]).into() == -263347, 'result[3] = -4.01814993'); + assert((*result[4]).into() == -1188, 'result[4] = -0.01814993'); + assert((*result[5]).into() == -1188, 'result[5] = -0.01814993'); + assert((*result[6]).into() == -1188, 'result[6] = -0.01814993'); + assert((*result[7]).into() == -1188, 'result[7] = -0.01814993'); + + let mut result = NNTrait::logsoftmax(@tensor, 1).data; + + assert((*result[0]).into() == -139390, 'result[0] = -2.12692801'); + assert((*result[1]).into() == -139390, 'result[1] = -2.12692801'); + assert((*result[2]).into() == -8317, 'result[2] = -0.12692801'); + assert((*result[3]).into() == -8317, 'result[3] = -0.12692801'); + assert((*result[4]).into() == -139390, 'result[4] = -2.12692801'); + assert((*result[5]).into() == -139390, 'result[5] = -2.12692801'); + assert((*result[6]).into() == -8317, 'result[6] = -0.12692801'); + assert((*result[7]).into() == -8317, 'result[7] = -0.12692801'); + + let mut result = NNTrait::logsoftmax(@tensor, 2).data; + + assert((*result[0]).into() == -86024, 'result[0] = -1.31326169'); + assert((*result[1]).into() == -20523, 'result[1] = -0.31326169'); + assert((*result[2]).into() == -86024, 'result[2] = -1.31326169'); + assert((*result[3]).into() == -20523, 'result[3] = -0.31326169'); + assert((*result[4]).into() == -86024, 'result[4] = -1.31326169'); + assert((*result[5]).into() == -20523, 'result[5] = -0.31326169'); + assert((*result[6]).into() == -86024, 'result[6] = -1.31326169'); + assert((*result[7]).into() == -20523, 'result[7] = -0.31326169'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn wrong_axis() { + let tensor = i32_tensor_2x2x2_helper(); + let mut result = NNTrait::logsoftmax(@tensor, 3); + } + } +} diff --git a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo deleted file mode 100644 index abf545b34..000000000 --- a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_test.cairo +++ /dev/null @@ -1,32 +0,0 @@ -use array::SpanTrait; -use traits::Into; - -use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::numbers::fixed_point::core::FixedImpl; -use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; -use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32::NN_i32; - -#[test] -#[available_gas(20000000)] -fn logsoftmax_test() { - let tensor = i32_tensor_2x2_helper(); - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); - - let mut result = NNTrait::logsoftmax(@tensor, 0).data; - - assert((*result[0]).into() == -17841970, 'result[0] = -2.12693'); - assert((*result[1]).into() == -17841970, 'result[1] = -2.12695'); - assert((*result[2]).into() == -1064751, 'result[2] = -0.12692'); - assert((*result[3]).into() == -1064751, 'result[3] = -0.12692'); - - let mut result = NNTrait::logsoftmax(@tensor, 1).data; - - assert((*result.at(0)).into() == -11016451, 'result[0] = -1.3134'); - assert((*result.at(1)).into() == -2627827, 'result[1] = -0.3132'); - assert((*result.at(2)).into() == -11016460, 'result[2] = -1.3134'); - assert((*result.at(3)).into() == -2627829, 'result[3] = -0.3132'); -} diff --git a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_u32_test.cairo b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_u32_test.cairo new file mode 100644 index 000000000..ced70e521 --- /dev/null +++ b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_u32_test.cairo @@ -0,0 +1,300 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod fp8x23 { + use array::SpanTrait; + use traits::Into; + + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(20000000)] + fn logsoftmax() { + let tensor = u32_tensor_1x3_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::logsoftmax(@tensor, 0).data; + + assert((*result[0]).into() == -20196463, 'result[0] = -2.40760596'); + assert((*result[1]).into() == -11807856, 'result[1] = -1.40760596'); + assert((*result[2]).into() == -3419249, 'result[2] = -0.40760596'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn wrong_axis() { + let tensor = u32_tensor_1x3_helper(); + let mut result = NNTrait::logsoftmax(@tensor, 1); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::SpanTrait; + use traits::Into; + + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Into}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(20000000)] + fn logsoftmax() { + let tensor = u32_tensor_1x3_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::logsoftmax(@tensor, 0).data; + + assert((*result[0]).into() == -157788, 'result[0] = -2.40760596'); + assert((*result[1]).into() == -92250, 'result[1] = -1.40760596'); + assert((*result[2]).into() == -26710, 'result[2] = -0.40760596'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn wrong_axis() { + let tensor = u32_tensor_1x3_helper(); + let mut result = NNTrait::logsoftmax(@tensor, 1); + } + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod fp8x23 { + use array::SpanTrait; + use traits::Into; + + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(20000000)] + fn logsoftmax() { + let tensor = u32_tensor_2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::logsoftmax(@tensor, 0).data; + + assert((*result[0]).into() == -17841970, 'result[0] = -2.12693'); + assert((*result[1]).into() == -17841970, 'result[1] = -2.12695'); + assert((*result[2]).into() == -1064751, 'result[2] = -0.12692'); + assert((*result[3]).into() == -1064751, 'result[3] = -0.12692'); + + let mut result = NNTrait::logsoftmax(@tensor, 1).data; + + assert((*result.at(0)).into() == -11016451, 'result[0] = -1.3134'); + assert((*result.at(1)).into() == -2627827, 'result[1] = -0.3132'); + assert((*result.at(2)).into() == -11016460, 'result[2] = -1.3134'); + assert((*result.at(3)).into() == -2627829, 'result[3] = -0.3132'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn wrong_axis() { + let tensor = u32_tensor_2x2_helper(); + let mut result = NNTrait::logsoftmax(@tensor, 2); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::SpanTrait; + use traits::Into; + + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Into}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(20000000)] + fn logsoftmax() { + let tensor = u32_tensor_2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::logsoftmax(@tensor, 0).data; + + assert((*result[0]).into() == -139390, 'result[0] = -2.12693'); + assert((*result[1]).into() == -139390, 'result[1] = -2.12695'); + assert((*result[2]).into() == -8317, 'result[2] = -0.12692'); + assert((*result[3]).into() == -8317, 'result[3] = -0.12692'); + + let mut result = NNTrait::logsoftmax(@tensor, 1).data; + + assert((*result.at(0)).into() == -86024, 'result[0] = -1.3134'); + assert((*result.at(1)).into() == -20523, 'result[1] = -0.3132'); + assert((*result.at(2)).into() == -86024, 'result[2] = -1.3134'); + assert((*result.at(3)).into() == -20523, 'result[3] = -0.3132'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn wrong_axis() { + let tensor = u32_tensor_2x2_helper(); + let mut result = NNTrait::logsoftmax(@tensor, 2); + } + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod fp8x23 { + use array::SpanTrait; + use traits::Into; + + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(200000000)] + fn logsoftmax() { + let tensor = u32_tensor_2x2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::logsoftmax(@tensor, 0).data; + + assert((*result[0]).into() == -33706687, 'result[0] = -4.01814993'); + assert((*result[1]).into() == -33706687, 'result[1] = -4.01814993'); + assert((*result[2]).into() == -33706687, 'result[2] = -4.01814993'); + assert((*result[3]).into() == -33706687, 'result[3] = -4.01814993'); + assert((*result[4]).into() == -152253, 'result[4] = -0.01814993'); + assert((*result[5]).into() == -152253, 'result[5] = -0.01814993'); + assert((*result[6]).into() == -152253, 'result[6] = -0.01814993'); + assert((*result[7]).into() == -152253, 'result[7] = -0.01814993'); + + let mut result = NNTrait::logsoftmax(@tensor, 1).data; + + assert((*result[0]).into() == -17841970, 'result[0] = -2.12692801'); + assert((*result[1]).into() == -17841970, 'result[1] = -2.12692801'); + assert((*result[2]).into() == -1064751, 'result[2] = -0.12692801'); + assert((*result[3]).into() == -1064751, 'result[3] = -0.12692801'); + assert((*result[4]).into() == -17841970, 'result[4] = -2.12692801'); + assert((*result[5]).into() == -17841970, 'result[5] = -2.12692801'); + assert((*result[6]).into() == -1064751, 'result[6] = -0.12692801'); + assert((*result[7]).into() == -1064751, 'result[7] = -0.12692801'); + + let mut result = NNTrait::logsoftmax(@tensor, 2).data; + + assert((*result[0]).into() == -11016451, 'result[0] = -1.31326169'); + assert((*result[1]).into() == -2627827, 'result[1] = -0.31326169'); + assert((*result[2]).into() == -11016460, 'result[2] = -1.31326169'); + assert((*result[3]).into() == -2627829, 'result[3] = -0.31326169'); + assert((*result[4]).into() == -11016451, 'result[4] = -1.31326169'); + assert((*result[5]).into() == -2627827, 'result[5] = -0.31326169'); + assert((*result[6]).into() == -11016451, 'result[6] = -1.31326169'); + assert((*result[7]).into() == -2627827, 'result[7] = -0.31326169'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn wrong_axis() { + let tensor = u32_tensor_2x2x2_helper(); + let mut result = NNTrait::logsoftmax(@tensor, 3); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::SpanTrait; + use traits::Into; + + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Into}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(200000000)] + fn logsoftmax() { + let tensor = u32_tensor_2x2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::logsoftmax(@tensor, 0).data; + + assert((*result[0]).into() == -263347, 'result[0] = -4.01814993'); + assert((*result[1]).into() == -263347, 'result[1] = -4.01814993'); + assert((*result[2]).into() == -263347, 'result[2] = -4.01814993'); + assert((*result[3]).into() == -263347, 'result[3] = -4.01814993'); + assert((*result[4]).into() == -1188, 'result[4] = -0.01814993'); + assert((*result[5]).into() == -1188, 'result[5] = -0.01814993'); + assert((*result[6]).into() == -1188, 'result[6] = -0.01814993'); + assert((*result[7]).into() == -1188, 'result[7] = -0.01814993'); + + let mut result = NNTrait::logsoftmax(@tensor, 1).data; + + assert((*result[0]).into() == -139390, 'result[0] = -2.12692801'); + assert((*result[1]).into() == -139390, 'result[1] = -2.12692801'); + assert((*result[2]).into() == -8317, 'result[2] = -0.12692801'); + assert((*result[3]).into() == -8317, 'result[3] = -0.12692801'); + assert((*result[4]).into() == -139390, 'result[4] = -2.12692801'); + assert((*result[5]).into() == -139390, 'result[5] = -2.12692801'); + assert((*result[6]).into() == -8317, 'result[6] = -0.12692801'); + assert((*result[7]).into() == -8317, 'result[7] = -0.12692801'); + + let mut result = NNTrait::logsoftmax(@tensor, 2).data; + + assert((*result[0]).into() == -86024, 'result[0] = -1.31326169'); + assert((*result[1]).into() == -20523, 'result[1] = -0.31326169'); + assert((*result[2]).into() == -86024, 'result[2] = -1.31326169'); + assert((*result[3]).into() == -20523, 'result[3] = -0.31326169'); + assert((*result[4]).into() == -86024, 'result[4] = -1.31326169'); + assert((*result[5]).into() == -20523, 'result[5] = -0.31326169'); + assert((*result[6]).into() == -86024, 'result[6] = -1.31326169'); + assert((*result[7]).into() == -20523, 'result[7] = -0.31326169'); + } + + #[test] + #[should_panic(expected: ('axis out of dimensions', ))] + #[available_gas(20000000)] + fn wrong_axis() { + let tensor = u32_tensor_2x2x2_helper(); + let mut result = NNTrait::logsoftmax(@tensor, 3); + } + } +} From 834d7a972ba0ef5ec60ebf267649056744f98912 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Thu, 22 Jun 2023 13:21:53 +0300 Subject: [PATCH 043/126] refactor relu tests --- .../nn/functional/relu/relu_i32_test.cairo | 180 +++++++++++---- .../nn/functional/relu/relu_u32_test.cairo | 215 ++++++++++++++---- 2 files changed, 313 insertions(+), 82 deletions(-) diff --git a/src/tests/operators/nn/functional/relu/relu_i32_test.cairo b/src/tests/operators/nn/functional/relu/relu_i32_test.cairo index 17f317d48..7fb45f98d 100644 --- a/src/tests/operators/nn/functional/relu/relu_i32_test.cairo +++ b/src/tests/operators/nn/functional/relu/relu_i32_test.cairo @@ -1,39 +1,143 @@ -use array::ArrayTrait; -use array::SpanTrait; -use traits::Into; - -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32::NN_i32; - -#[test] -#[available_gas(2000000)] -fn relu_i32_test() { - let mut shape = ArrayTrait::::new(); - shape.append(2); - shape.append(2); - - let mut data = ArrayTrait::::new(); - let val_1 = IntegerTrait::new(1, false); - let val_2 = IntegerTrait::new(2, false); - let val_3 = IntegerTrait::new(1, true); - let val_4 = IntegerTrait::new(2, true); - - data.append(val_1); - data.append(val_2); - data.append(val_3); - data.append(val_4); - - let extra = Option::::None(()); - - let mut tensor = TensorTrait::new(shape.span(), data.span(), extra); - let threshold = IntegerTrait::new(0, false); - - let mut result = NNTrait::relu(@tensor, threshold); - - let data_0 = *result.data.at(0); - assert((*result.data.at(0)).into() == 1, 'result[0] == 1'); - assert((*result.data.at(3)).into() == 0, 'result[3] == 0'); +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(2000000)] + fn relu() { + let mut shape = ArrayTrait::::new(); + shape.append(4); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(1, false); + let val_2 = IntegerTrait::new(2, false); + let val_3 = IntegerTrait::new(1, true); + let val_4 = IntegerTrait::new(2, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = Option::::None(()); + + let mut tensor = TensorTrait::new(shape.span(), data.span(), extra); + let threshold = IntegerTrait::new(0, false); + + let mut result = NNTrait::relu(@tensor, threshold); + + let data_0 = *result.data.at(0); + assert((*result.data.at(0)).into() == 1, 'result[0] == 1'); + assert((*result.data.at(3)).into() == 0, 'result[3] == 0'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(2000000)] + fn relu() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(1, false); + let val_2 = IntegerTrait::new(2, false); + let val_3 = IntegerTrait::new(1, true); + let val_4 = IntegerTrait::new(2, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = Option::::None(()); + + let mut tensor = TensorTrait::new(shape.span(), data.span(), extra); + let threshold = IntegerTrait::new(0, false); + + let mut result = NNTrait::relu(@tensor, threshold); + + let data_0 = *result.data.at(0); + assert((*result.data.at(0)).into() == 1, 'result[0] == 1'); + assert((*result.data.at(3)).into() == 0, 'result[3] == 0'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(2000000)] + fn relu() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(1, false); + let val_2 = IntegerTrait::new(2, false); + let val_3 = IntegerTrait::new(1, true); + let val_4 = IntegerTrait::new(2, true); + let val_5 = IntegerTrait::new(1, false); + let val_6 = IntegerTrait::new(2, false); + let val_7 = IntegerTrait::new(1, true); + let val_8 = IntegerTrait::new(2, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = Option::::None(()); + + let mut tensor = TensorTrait::new(shape.span(), data.span(), extra); + let threshold = IntegerTrait::new(0, false); + + let mut result = NNTrait::relu(@tensor, threshold); + + let data_0 = *result.data.at(0); + assert((*result.data.at(0)).into() == 1, 'result[0] == 1'); + assert((*result.data.at(3)).into() == 0, 'result[3] == 0'); + assert((*result.data.at(5)).into() == 2, 'result[6] == 2'); + } } diff --git a/src/tests/operators/nn/functional/relu/relu_u32_test.cairo b/src/tests/operators/nn/functional/relu/relu_u32_test.cairo index 9cd4d5274..1fd1a488c 100644 --- a/src/tests/operators/nn/functional/relu/relu_u32_test.cairo +++ b/src/tests/operators/nn/functional/relu/relu_u32_test.cairo @@ -1,45 +1,172 @@ -use array::ArrayTrait; -use array::SpanTrait; - -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; -use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32::NN_u32; - -#[test] -#[available_gas(2000000)] -fn relu_u32_test() { - let mut shape = ArrayTrait::::new(); - shape.append(2); - shape.append(2); - - let mut data = ArrayTrait::::new(); - let val_1 = 1; - let val_2 = 2; - let val_3 = 3; - let val_4 = 4; - - data.append(val_1); - data.append(val_2); - data.append(val_3); - data.append(val_4); - - let extra = Option::::None(()); - - let mut tensor = TensorTrait::new(shape.span(), data.span(), extra); - let threshold = 3; - let mut result = NNTrait::relu(@tensor, threshold); - - let data_0 = *result.data.at(0); - assert(data_0 == 0, 'result[0] == 0'); - - let data_1 = *result.data.at(1); - assert(data_1 == 0, 'result[1] == 0'); - - let data_2 = *result.data.at(2); - assert(data_2 == 3, 'result[2] == 3'); - - let data_3 = *result.data.at(3); - assert(data_3 == 4, 'result[3] == 4'); +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(2000000)] + fn relu() { + let mut shape = ArrayTrait::::new(); + shape.append(4); + + let mut data = ArrayTrait::::new(); + let val_1 = 1; + let val_2 = 2; + let val_3 = 3; + let val_4 = 4; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = Option::::None(()); + + let mut tensor = TensorTrait::new(shape.span(), data.span(), extra); + let threshold = 3; + let mut result = NNTrait::relu(@tensor, threshold); + + let data_0 = *result.data.at(0); + assert(data_0 == 0, 'result[0] == 0'); + + let data_1 = *result.data.at(1); + assert(data_1 == 0, 'result[1] == 0'); + + let data_2 = *result.data.at(2); + assert(data_2 == 3, 'result[2] == 3'); + + let data_3 = *result.data.at(3); + assert(data_3 == 4, 'result[3] == 4'); + } } + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(2000000)] + fn relu() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 1; + let val_2 = 2; + let val_3 = 3; + let val_4 = 4; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = Option::::None(()); + + let mut tensor = TensorTrait::new(shape.span(), data.span(), extra); + let threshold = 3; + let mut result = NNTrait::relu(@tensor, threshold); + + let data_0 = *result.data.at(0); + assert(data_0 == 0, 'result[0] == 0'); + + let data_1 = *result.data.at(1); + assert(data_1 == 0, 'result[1] == 0'); + + let data_2 = *result.data.at(2); + assert(data_2 == 3, 'result[2] == 3'); + + let data_3 = *result.data.at(3); + assert(data_3 == 4, 'result[3] == 4'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(2000000)] + fn relu() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 1; + let val_2 = 2; + let val_3 = 3; + let val_4 = 4; + let val_5 = 5; + let val_6 = 6; + let val_7 = 7; + let val_8 = 8; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + let extra = Option::::None(()); + + let mut tensor = TensorTrait::new(shape.span(), data.span(), extra); + let threshold = 3; + let mut result = NNTrait::relu(@tensor, threshold); + + let data_0 = *result.data.at(0); + assert(data_0 == 0, 'result[0] == 0'); + + let data_1 = *result.data.at(1); + assert(data_1 == 0, 'result[1] == 0'); + + let data_2 = *result.data.at(2); + assert(data_2 == 3, 'result[2] == 3'); + + let data_3 = *result.data.at(3); + assert(data_3 == 4, 'result[3] == 4'); + + let data_4 = *result.data.at(4); + assert(data_4 == 5, 'result[4] == 5'); + + let data_5 = *result.data.at(5); + assert(data_5 == 6, 'result[5] == 6'); + + let data_6 = *result.data.at(6); + assert(data_6 == 7, 'result[6] == 7'); + + let data_7 = *result.data.at(7); + assert(data_7 == 8, 'result[7] == 8'); + } +} + From 15ac01377b71e3cde5b5838cca8c66f7986a3016 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Thu, 22 Jun 2023 13:53:09 +0300 Subject: [PATCH 044/126] refactor sigmoid tests --- .../functional/sigmoid/sigmoid_i32_test.cairo | 386 +++++++++++++++-- .../functional/sigmoid/sigmoid_u32_test.cairo | 398 ++++++++++++++++-- 2 files changed, 703 insertions(+), 81 deletions(-) diff --git a/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo b/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo index 928c08074..4652353ae 100644 --- a/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo +++ b/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo @@ -1,49 +1,363 @@ -use array::ArrayTrait; -use core::debug::PrintTrait; -use array::SpanTrait; -use core::Into; +// ===== 1D ===== // -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32::NN_i32; -use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use core::debug::PrintTrait; + use array::SpanTrait; + use core::Into; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; -#[test] -#[available_gas(5000000)] -fn sigmoid_i32_test() { - let mut shape = ArrayTrait::::new(); - shape.append(2); - shape.append(2); + #[test] + #[available_gas(5000000)] + fn sigmoid() { + let mut shape = ArrayTrait::::new(); + shape.append(4); - let mut data = ArrayTrait::::new(); - let val_1 = IntegerTrait::new(0, false); - let val_2 = IntegerTrait::new(1, false); - let val_3 = IntegerTrait::new(2, true); - let val_4 = IntegerTrait::new(254, false); + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(254, false); - data.append(val_1); - data.append(val_2); - data.append(val_3); - data.append(val_4); + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); - let mut result = NNTrait::sigmoid(@tensor); + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::sigmoid(@tensor); - let data = *result.data.at(0).mag; - assert(data == 32768, 'result[0] == 4194304'); // 0.5 + let data = *result.data.at(0).mag; + assert(data == 4194304, 'result[0] == 4194304'); // 0.5 - let data = *result.data.at(1).mag; - assert(data == 47910, 'result[1] == 47910'); // 0.7310... + let data = *result.data.at(1).mag; + assert(data == 6132564, 'result[1] == 47910'); // 0.7310... - let data = *result.data.at(2).mag; - assert(data == 7812, 'result[2] == 7812'); // 0.11920... + let data = *result.data.at(2).mag; + assert(data == 999946, 'result[2] == 999946'); // 0.11920... - let data = *result.data.at(3).mag; - assert(data == 65536, 'result[3] == 65536'); // 1 + let data = *result.data.at(3).mag; + assert(data == 8388608, 'result[3] == 8388608'); // 1 + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use core::debug::PrintTrait; + use array::SpanTrait; + use core::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + + + #[test] + #[available_gas(5000000)] + fn sigmoid() { + let mut shape = ArrayTrait::::new(); + shape.append(4); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(254, false); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::sigmoid(@tensor); + + let data = *result.data.at(0).mag; + assert(data == 32768, 'result[0] == 32768'); // 0.5 + + let data = *result.data.at(1).mag; + assert(data == 47910, 'result[1] == 47910'); // 0.7310... + + let data = *result.data.at(2).mag; + assert(data == 7812, 'result[2] == 7812'); // 0.11920... + + let data = *result.data.at(3).mag; + assert(data == 65536, 'result[3] == 65536'); // 1 + } + } } +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use core::debug::PrintTrait; + use array::SpanTrait; + use core::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + + #[test] + #[available_gas(5000000)] + fn sigmoid() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(254, false); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::sigmoid(@tensor); + + let data = *result.data.at(0).mag; + assert(data == 4194304, 'result[0] == 4194304'); // 0.5 + + let data = *result.data.at(1).mag; + assert(data == 6132564, 'result[1] == 47910'); // 0.7310... + + let data = *result.data.at(2).mag; + assert(data == 999946, 'result[2] == 999946'); // 0.11920... + + let data = *result.data.at(3).mag; + assert(data == 8388608, 'result[3] == 8388608'); // 1 + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use core::debug::PrintTrait; + use array::SpanTrait; + use core::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + + + #[test] + #[available_gas(5000000)] + fn sigmoid() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(254, false); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::sigmoid(@tensor); + + let data = *result.data.at(0).mag; + assert(data == 32768, 'result[0] == 32768'); // 0.5 + + let data = *result.data.at(1).mag; + assert(data == 47910, 'result[1] == 47910'); // 0.7310... + + let data = *result.data.at(2).mag; + assert(data == 7812, 'result[2] == 7812'); // 0.11920... + + let data = *result.data.at(3).mag; + assert(data == 65536, 'result[3] == 65536'); // 1 + } + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use core::debug::PrintTrait; + use array::SpanTrait; + use core::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + + #[test] + #[available_gas(5000000)] + fn sigmoid() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(254, false); + let val_5 = IntegerTrait::new(0, false); + let val_6 = IntegerTrait::new(1, false); + let val_7 = IntegerTrait::new(2, true); + let val_8 = IntegerTrait::new(254, false); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::sigmoid(@tensor); + + let data = *result.data.at(0).mag; + assert(data == 4194304, 'result[0] == 4194304'); // 0.5 + + let data = *result.data.at(1).mag; + assert(data == 6132564, 'result[1] == 47910'); // 0.7310... + + let data = *result.data.at(2).mag; + assert(data == 999946, 'result[2] == 999946'); // 0.11920... + + let data = *result.data.at(3).mag; + assert(data == 8388608, 'result[3] == 8388608'); // 1 + + let data = *result.data.at(4).mag; + assert(data == 4194304, 'result[4] == 4194304'); // 0.5 + + let data = *result.data.at(5).mag; + assert(data == 6132564, 'result[5] == 47910'); // 0.7310... + + let data = *result.data.at(6).mag; + assert(data == 999946, 'result[6] == 999946'); // 0.11920... + + let data = *result.data.at(7).mag; + assert(data == 8388608, 'result[7] == 8388608'); // 1 + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use core::debug::PrintTrait; + use array::SpanTrait; + use core::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + + + #[test] + #[available_gas(5000000)] + fn sigmoid() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(254, false); + let val_5 = IntegerTrait::new(0, false); + let val_6 = IntegerTrait::new(1, false); + let val_7 = IntegerTrait::new(2, true); + let val_8 = IntegerTrait::new(254, false); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::sigmoid(@tensor); + + let data = *result.data.at(0).mag; + assert(data == 32768, 'result[0] == 32768'); // 0.5 + + let data = *result.data.at(1).mag; + assert(data == 47910, 'result[1] == 47910'); // 0.7310... + + let data = *result.data.at(2).mag; + assert(data == 7812, 'result[2] == 7812'); // 0.11920... + + let data = *result.data.at(3).mag; + assert(data == 65536, 'result[3] == 65536'); // 1 + + let data = *result.data.at(4).mag; + assert(data == 32768, 'result[4] == 32768'); // 0.5 + + let data = *result.data.at(5).mag; + assert(data == 47910, 'result[5] == 47910'); // 0.7310... + + let data = *result.data.at(6).mag; + assert(data == 7812, 'result[6] == 7812'); // 0.11920... + + let data = *result.data.at(7).mag; + assert(data == 65536, 'result[7] == 65536'); // 1 + } + } +} diff --git a/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo b/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo index cffc26fd8..e3782d278 100644 --- a/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo +++ b/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo @@ -1,47 +1,355 @@ -use core::debug::PrintTrait; -use array::ArrayTrait; -use array::SpanTrait; - -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; -use orion::numbers::signed_integer::integer_trait::IntegerTrait; -use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32::NN_u32; -use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; - -#[test] -#[available_gas(5000000)] -fn sigmoid_u32_test() { - let mut shape = ArrayTrait::::new(); - shape.append(2); - shape.append(2); - - let mut data = ArrayTrait::::new(); - let val_1 = 0; - let val_2 = 1; - let val_3 = 2; - let val_4 = 254; - - data.append(val_1); - data.append(val_2); - data.append(val_3); - data.append(val_4); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; - - let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); - let mut result = NNTrait::sigmoid(@tensor); - - let data = *result.data.at(0).mag; - assert(data == 32768, 'result[0] == 4194304'); // 0.5 - - let data = *result.data.at(1).mag; - assert(data == 47910, 'result[1] == 47910'); // 0.7310... - - let data = *result.data.at(2).mag; - assert(data == 57724, 'result[2] == 57724'); // 0.8807... - - let data = *result.data.at(3).mag; - assert(data == 65536, 'result[3] == 65536'); // 1 +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod fp8x23 { + use core::debug::PrintTrait; + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::integer_trait::IntegerTrait; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + + #[test] + #[available_gas(5000000)] + fn sigmoid() { + let mut shape = ArrayTrait::::new(); + shape.append(4); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 254; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::sigmoid(@tensor); + + let data = *result.data.at(0).mag; + assert(data == 4194304, 'result[0] == 4194304'); // 0.5 + + let data = *result.data.at(1).mag; + assert(data == 6132564, 'result[1] == 6132564'); // 0.7310... + + let data = *result.data.at(2).mag; + assert(data == 7388661, 'result[2] == 7388661'); // 0.8807... + + let data = *result.data.at(3).mag; + assert(data == 8388608, 'result[3] == 8388608'); // 1 + } + } + + #[cfg(test)] + mod fp16x16 { + use core::debug::PrintTrait; + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::integer_trait::IntegerTrait; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + + #[test] + #[available_gas(5000000)] + fn sigmoid() { + let mut shape = ArrayTrait::::new(); + shape.append(4); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 254; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::sigmoid(@tensor); + + let data = *result.data.at(0).mag; + assert(data == 32768, 'result[0] == 32768'); // 0.5 + + let data = *result.data.at(1).mag; + assert(data == 47910, 'result[1] == 47910'); // 0.7310... + + let data = *result.data.at(2).mag; + assert(data == 57724, 'result[2] == 57724'); // 0.8807... + + let data = *result.data.at(3).mag; + assert(data == 65536, 'result[3] == 65536'); // 1 + } + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod fp8x23 { + use core::debug::PrintTrait; + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::integer_trait::IntegerTrait; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + + #[test] + #[available_gas(5000000)] + fn sigmoid() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 254; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::sigmoid(@tensor); + + let data = *result.data.at(0).mag; + assert(data == 4194304, 'result[0] == 4194304'); // 0.5 + + let data = *result.data.at(1).mag; + assert(data == 6132564, 'result[1] == 6132564'); // 0.7310... + + let data = *result.data.at(2).mag; + assert(data == 7388661, 'result[2] == 7388661'); // 0.8807... + + let data = *result.data.at(3).mag; + assert(data == 8388608, 'result[3] == 8388608'); // 1 + } + } + + #[cfg(test)] + mod fp16x16 { + use core::debug::PrintTrait; + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::integer_trait::IntegerTrait; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + + #[test] + #[available_gas(5000000)] + fn sigmoid() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 254; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::sigmoid(@tensor); + + let data = *result.data.at(0).mag; + assert(data == 32768, 'result[0] == 32768'); // 0.5 + + let data = *result.data.at(1).mag; + assert(data == 47910, 'result[1] == 47910'); // 0.7310... + + let data = *result.data.at(2).mag; + assert(data == 57724, 'result[2] == 57724'); // 0.8807... + + let data = *result.data.at(3).mag; + assert(data == 65536, 'result[3] == 65536'); // 1 + } + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod fp8x23 { + use core::debug::PrintTrait; + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::integer_trait::IntegerTrait; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + + #[test] + #[available_gas(5000000)] + fn sigmoid() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 254; + let val_5 = 0; + let val_6 = 1; + let val_7 = 2; + let val_8 = 254; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::sigmoid(@tensor); + + let data = *result.data.at(0).mag; + assert(data == 4194304, 'result[0] == 4194304'); // 0.5 + + let data = *result.data.at(1).mag; + assert(data == 6132564, 'result[1] == 6132564'); // 0.7310... + + let data = *result.data.at(2).mag; + assert(data == 7388661, 'result[2] == 7388661'); // 0.8807... + + let data = *result.data.at(3).mag; + assert(data == 8388608, 'result[3] == 8388608'); // 1 + + let data = *result.data.at(4).mag; + assert(data == 4194304, 'result[4] == 4194304'); // 0.5 + + let data = *result.data.at(5).mag; + assert(data == 6132564, 'result[5] == 6132564'); // 0.7310... + + let data = *result.data.at(6).mag; + assert(data == 7388661, 'result[6] == 7388661'); // 0.8807... + + let data = *result.data.at(7).mag; + assert(data == 8388608, 'result[7] == 8388608'); // 1 + } + } + + #[cfg(test)] + mod fp16x16 { + use core::debug::PrintTrait; + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::integer_trait::IntegerTrait; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedTrait, FixedImpl}; + + #[test] + #[available_gas(5000000)] + fn sigmoid() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 254; + let val_5 = 0; + let val_6 = 1; + let val_7 = 2; + let val_8 = 254; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::sigmoid(@tensor); + + let data = *result.data.at(0).mag; + assert(data == 32768, 'result[0] == 32768'); // 0.5 + + let data = *result.data.at(1).mag; + assert(data == 47910, 'result[1] == 47910'); // 0.7310... + + let data = *result.data.at(2).mag; + assert(data == 57724, 'result[2] == 57724'); // 0.8807... + + let data = *result.data.at(3).mag; + assert(data == 65536, 'result[3] == 65536'); // 1 + + let data = *result.data.at(4).mag; + assert(data == 32768, 'result[4] == 32768'); // 0.5 + + let data = *result.data.at(5).mag; + assert(data == 47910, 'result[5] == 47910'); // 0.7310... + + let data = *result.data.at(6).mag; + assert(data == 57724, 'result[6] == 57724'); // 0.8807... + + let data = *result.data.at(7).mag; + assert(data == 65536, 'result[7] == 65536'); // 1 + } + } } From 6fc44423fc962ee1a2aab85cb2ffa1e832f53e37 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Thu, 22 Jun 2023 14:39:54 +0300 Subject: [PATCH 045/126] refactor softmax tests --- .../operators/nn/functional/softmax.cairo | 3 +- .../functional/softmax/softmax_i32_test.cairo | 268 ++++++++++++++++++ .../nn/functional/softmax/softmax_test.cairo | 34 --- .../functional/softmax/softmax_u32_test.cairo | 268 ++++++++++++++++++ 4 files changed, 538 insertions(+), 35 deletions(-) create mode 100644 src/tests/operators/nn/functional/softmax/softmax_i32_test.cairo delete mode 100644 src/tests/operators/nn/functional/softmax/softmax_test.cairo create mode 100644 src/tests/operators/nn/functional/softmax/softmax_u32_test.cairo diff --git a/src/tests/operators/nn/functional/softmax.cairo b/src/tests/operators/nn/functional/softmax.cairo index 9d1f26f3c..7618c4b2f 100644 --- a/src/tests/operators/nn/functional/softmax.cairo +++ b/src/tests/operators/nn/functional/softmax.cairo @@ -1 +1,2 @@ -mod softmax_test; \ No newline at end of file +mod softmax_i32_test; +mod softmax_u32_test; diff --git a/src/tests/operators/nn/functional/softmax/softmax_i32_test.cairo b/src/tests/operators/nn/functional/softmax/softmax_i32_test.cairo new file mode 100644 index 000000000..7231f4bdf --- /dev/null +++ b/src/tests/operators/nn/functional/softmax/softmax_i32_test.cairo @@ -0,0 +1,268 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod fp8x23 { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{ + FP8x23Impl, FP8x23Into, FP8x23Print + }; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(20000000)] + fn softmax() { + let tensor = i32_tensor_1x3_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::softmax(@tensor, 0).data; + + assert((*result.at(0)).into() == 755231, 'result[0] = 0.09003057'); + assert((*result.at(1)).into() == 2052931, 'result[1] = 0.24472847'); + assert((*result.at(2)).into() == 5580445, 'result[2] = 0.66524096'); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16Into, FP16x16Print + }; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(20000000)] + fn softmax() { + let tensor = i32_tensor_1x3_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::softmax(@tensor, 0).data; + + assert((*result.at(0)).into() == 5900, 'result[0] = 0.09003057'); + assert((*result.at(1)).into() == 16038, 'result[1] = 0.24472847'); + assert((*result.at(2)).into() == 43596, 'result[2] = 0.66524096'); + } + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod fp8x23 { + use array::SpanTrait; + use traits::Into; + + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(20000000)] + fn softmax() { + let tensor = i32_tensor_2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::softmax(@tensor, 0).data; + + assert((*result.at(0)).into() == 999946, 'result[0] = 0.1192'); + assert((*result.at(1)).into() == 999946, 'result[1] = 0.1192'); + assert((*result.at(2)).into() == 7388661, 'result[2] = 0.8808'); + assert((*result.at(3)).into() == 7388661, 'result[3] = 0.8808'); + + let mut result = NNTrait::softmax(@tensor, 1).data; + + assert((*result.at(0)).into() == 2256044, 'result[0] = 0.2689'); + assert((*result.at(1)).into() == 6132563, 'result[1] = 0.7311'); + assert((*result.at(2)).into() == 2256043, 'result[2] = 0.2689'); + assert((*result.at(3)).into() == 6132564, 'result[4] = 0.7311'); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16Into, FP16x16Print + }; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(20000000)] + fn softmax() { + let tensor = i32_tensor_2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::softmax(@tensor, 0).data; + + assert((*result.at(0)).into() == 7812, 'result[0] = 0.1192'); + assert((*result.at(1)).into() == 7812, 'result[1] = 0.1192'); + assert((*result.at(2)).into() == 57723, 'result[2] = 0.8808'); + assert((*result.at(3)).into() == 57723, 'result[3] = 0.8808'); + + let mut result = NNTrait::softmax(@tensor, 1).data; + + assert((*result.at(0)).into() == 17625, 'result[0] = 0.2689'); + assert((*result.at(1)).into() == 47910, 'result[1] = 0.7311'); + assert((*result.at(2)).into() == 17625, 'result[2] = 0.2689'); + assert((*result.at(3)).into() == 47910, 'result[4] = 0.7311'); + } + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod fp8x23 { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{ + FP8x23Impl, FP8x23Into, FP8x23Print + }; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(200000000)] + fn softmax() { + let tensor = i32_tensor_2x2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::softmax(@tensor, 0).data; + + assert((*result.at(0)).into() == 150879, 'result[0] = 0.01798621'); + assert((*result.at(1)).into() == 150879, 'result[1] = 0.01798621'); + assert((*result.at(2)).into() == 150879, 'result[2] = 0.01798621'); + assert((*result.at(3)).into() == 150879, 'result[3] = 0.01798621'); + assert((*result.at(4)).into() == 8237728, 'result[4] = 0.01798621'); + assert((*result.at(5)).into() == 8237728, 'result[5] = 0.01798621'); + assert((*result.at(6)).into() == 8237728, 'result[6] = 0.01798621'); + assert((*result.at(7)).into() == 8237728, 'result[7] = 0.01798621'); + + let mut result = NNTrait::softmax(@tensor, 1).data; + + assert((*result.at(0)).into() == 999946, 'result[0] = 0.11920292'); + assert((*result.at(1)).into() == 999946, 'result[1] = 0.11920292'); + assert((*result.at(2)).into() == 7388661, 'result[2] = 0.88079708'); + assert((*result.at(3)).into() == 7388661, 'result[3] = 0.88079708'); + assert((*result.at(4)).into() == 999946, 'result[4] = 0.11920292'); + assert((*result.at(5)).into() == 999946, 'result[5] = 0.11920292'); + assert((*result.at(6)).into() == 7388661, 'result[6] = 0.88079708'); + assert((*result.at(7)).into() == 7388661, 'result[7] = 0.88079708'); + + let mut result = NNTrait::softmax(@tensor, 2).data; + + assert((*result.at(0)).into() == 2256044, 'result[0] = 0.26894142'); + assert((*result.at(1)).into() == 6132563, 'result[1] = 0.73105858'); + assert((*result.at(2)).into() == 2256043, 'result[2] = 0.26894142'); + assert((*result.at(3)).into() == 6132564, 'result[3] = 0.73105858'); + assert((*result.at(4)).into() == 2256044, 'result[4] = 0.26894142'); + assert((*result.at(5)).into() == 6132563, 'result[5] = 0.73105858'); + assert((*result.at(6)).into() == 2256044, 'result[6] = 0.26894142'); + assert((*result.at(7)).into() == 6132563, 'result[7] = 0.73105858'); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16Into, FP16x16Print + }; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + + #[test] + #[available_gas(200000000)] + fn softmax() { + let tensor = i32_tensor_2x2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::softmax(@tensor, 0).data; + + assert((*result.at(0)).into() == 1178, 'result[0] = 0.01798621'); + assert((*result.at(1)).into() == 1178, 'result[1] = 0.01798621'); + assert((*result.at(2)).into() == 1178, 'result[2] = 0.01798621'); + assert((*result.at(3)).into() == 1178, 'result[3] = 0.01798621'); + assert((*result.at(4)).into() == 64357, 'result[4] = 0.01798621'); + assert((*result.at(5)).into() == 64357, 'result[5] = 0.01798621'); + assert((*result.at(6)).into() == 64357, 'result[6] = 0.01798621'); + assert((*result.at(7)).into() == 64357, 'result[7] = 0.01798621'); + + let mut result = NNTrait::softmax(@tensor, 1).data; + + assert((*result.at(0)).into() == 7812, 'result[0] = 0.11920292'); + assert((*result.at(1)).into() == 7812, 'result[1] = 0.11920292'); + assert((*result.at(2)).into() == 57723, 'result[2] = 0.88079708'); + assert((*result.at(3)).into() == 57723, 'result[3] = 0.88079708'); + assert((*result.at(4)).into() == 7812, 'result[4] = 0.11920292'); + assert((*result.at(5)).into() == 7812, 'result[5] = 0.11920292'); + assert((*result.at(6)).into() == 57723, 'result[6] = 0.88079708'); + assert((*result.at(7)).into() == 57723, 'result[7] = 0.88079708'); + + let mut result = NNTrait::softmax(@tensor, 2).data; + + assert((*result.at(0)).into() == 17625, 'result[0] = 0.26894142'); + assert((*result.at(1)).into() == 47910, 'result[1] = 0.73105858'); + assert((*result.at(2)).into() == 17625, 'result[2] = 0.26894142'); + assert((*result.at(3)).into() == 47910, 'result[3] = 0.73105858'); + assert((*result.at(4)).into() == 17625, 'result[4] = 0.26894142'); + assert((*result.at(5)).into() == 47910, 'result[5] = 0.73105858'); + assert((*result.at(6)).into() == 17625, 'result[6] = 0.26894142'); + assert((*result.at(7)).into() == 47910, 'result[7] = 0.73105858'); + } + } +} + diff --git a/src/tests/operators/nn/functional/softmax/softmax_test.cairo b/src/tests/operators/nn/functional/softmax/softmax_test.cairo deleted file mode 100644 index d40fad2d1..000000000 --- a/src/tests/operators/nn/functional/softmax/softmax_test.cairo +++ /dev/null @@ -1,34 +0,0 @@ -use array::SpanTrait; -use traits::Into; - -use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::numbers::fixed_point::core::FixedImpl; -use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; -use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32::NN_i32; - -use debug::print_felt252; - -#[test] -#[available_gas(20000000)] -fn softmax_test() { - let tensor = i32_tensor_2x2_helper(); - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); - - let mut result = NNTrait::softmax(@tensor, 0).data; - - assert((*result.at(0)).into() == 999946, 'result[0] = 0.1192'); - assert((*result.at(1)).into() == 999946, 'result[1] = 0.1192'); - assert((*result.at(2)).into() == 7388661, 'result[2] = 0.8808'); - assert((*result.at(3)).into() == 7388661, 'result[3] = 0.8808'); - - let mut result = NNTrait::softmax(@tensor, 1).data; - - assert((*result.at(0)).into() == 2256044, 'result[0] = 0.2689'); - assert((*result.at(1)).into() == 6132563, 'result[1] = 0.7311'); - assert((*result.at(2)).into() == 2256043, 'result[2] = 0.2689'); - assert((*result.at(3)).into() == 6132564, 'result[4] = 0.7311'); -} diff --git a/src/tests/operators/nn/functional/softmax/softmax_u32_test.cairo b/src/tests/operators/nn/functional/softmax/softmax_u32_test.cairo new file mode 100644 index 000000000..dfe4b4dde --- /dev/null +++ b/src/tests/operators/nn/functional/softmax/softmax_u32_test.cairo @@ -0,0 +1,268 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod fp8x23 { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{ + FP8x23Impl, FP8x23Into, FP8x23Print + }; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(20000000)] + fn softmax() { + let tensor = u32_tensor_1x3_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::softmax(@tensor, 0).data; + + assert((*result.at(0)).into() == 755231, 'result[0] = 0.09003057'); + assert((*result.at(1)).into() == 2052931, 'result[1] = 0.24472847'); + assert((*result.at(2)).into() == 5580445, 'result[2] = 0.66524096'); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16Into, FP16x16Print + }; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(20000000)] + fn softmax() { + let tensor = u32_tensor_1x3_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::softmax(@tensor, 0).data; + + assert((*result.at(0)).into() == 5900, 'result[0] = 0.09003057'); + assert((*result.at(1)).into() == 16038, 'result[1] = 0.24472847'); + assert((*result.at(2)).into() == 43596, 'result[2] = 0.66524096'); + } + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod fp8x23 { + use array::SpanTrait; + use traits::Into; + + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(20000000)] + fn softmax() { + let tensor = u32_tensor_2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::softmax(@tensor, 0).data; + + assert((*result.at(0)).into() == 999946, 'result[0] = 0.1192'); + assert((*result.at(1)).into() == 999946, 'result[1] = 0.1192'); + assert((*result.at(2)).into() == 7388661, 'result[2] = 0.8808'); + assert((*result.at(3)).into() == 7388661, 'result[3] = 0.8808'); + + let mut result = NNTrait::softmax(@tensor, 1).data; + + assert((*result.at(0)).into() == 2256044, 'result[0] = 0.2689'); + assert((*result.at(1)).into() == 6132563, 'result[1] = 0.7311'); + assert((*result.at(2)).into() == 2256043, 'result[2] = 0.2689'); + assert((*result.at(3)).into() == 6132564, 'result[4] = 0.7311'); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16Into, FP16x16Print + }; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(20000000)] + fn softmax() { + let tensor = u32_tensor_2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::softmax(@tensor, 0).data; + + assert((*result.at(0)).into() == 7812, 'result[0] = 0.1192'); + assert((*result.at(1)).into() == 7812, 'result[1] = 0.1192'); + assert((*result.at(2)).into() == 57723, 'result[2] = 0.8808'); + assert((*result.at(3)).into() == 57723, 'result[3] = 0.8808'); + + let mut result = NNTrait::softmax(@tensor, 1).data; + + assert((*result.at(0)).into() == 17625, 'result[0] = 0.2689'); + assert((*result.at(1)).into() == 47910, 'result[1] = 0.7311'); + assert((*result.at(2)).into() == 17625, 'result[2] = 0.2689'); + assert((*result.at(3)).into() == 47910, 'result[4] = 0.7311'); + } + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod fp8x23 { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{ + FP8x23Impl, FP8x23Into, FP8x23Print + }; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(200000000)] + fn softmax() { + let tensor = u32_tensor_2x2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::softmax(@tensor, 0).data; + + assert((*result.at(0)).into() == 150879, 'result[0] = 0.01798621'); + assert((*result.at(1)).into() == 150879, 'result[1] = 0.01798621'); + assert((*result.at(2)).into() == 150879, 'result[2] = 0.01798621'); + assert((*result.at(3)).into() == 150879, 'result[3] = 0.01798621'); + assert((*result.at(4)).into() == 8237728, 'result[4] = 0.01798621'); + assert((*result.at(5)).into() == 8237728, 'result[5] = 0.01798621'); + assert((*result.at(6)).into() == 8237728, 'result[6] = 0.01798621'); + assert((*result.at(7)).into() == 8237728, 'result[7] = 0.01798621'); + + let mut result = NNTrait::softmax(@tensor, 1).data; + + assert((*result.at(0)).into() == 999946, 'result[0] = 0.11920292'); + assert((*result.at(1)).into() == 999946, 'result[1] = 0.11920292'); + assert((*result.at(2)).into() == 7388661, 'result[2] = 0.88079708'); + assert((*result.at(3)).into() == 7388661, 'result[3] = 0.88079708'); + assert((*result.at(4)).into() == 999946, 'result[4] = 0.11920292'); + assert((*result.at(5)).into() == 999946, 'result[5] = 0.11920292'); + assert((*result.at(6)).into() == 7388661, 'result[6] = 0.88079708'); + assert((*result.at(7)).into() == 7388661, 'result[7] = 0.88079708'); + + let mut result = NNTrait::softmax(@tensor, 2).data; + + assert((*result.at(0)).into() == 2256044, 'result[0] = 0.26894142'); + assert((*result.at(1)).into() == 6132563, 'result[1] = 0.73105858'); + assert((*result.at(2)).into() == 2256043, 'result[2] = 0.26894142'); + assert((*result.at(3)).into() == 6132564, 'result[3] = 0.73105858'); + assert((*result.at(4)).into() == 2256044, 'result[4] = 0.26894142'); + assert((*result.at(5)).into() == 6132563, 'result[5] = 0.73105858'); + assert((*result.at(6)).into() == 2256044, 'result[6] = 0.26894142'); + assert((*result.at(7)).into() == 6132563, 'result[7] = 0.73105858'); + } + } + + #[cfg(test)] + mod fp16x16 { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16Into, FP16x16Print + }; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + + #[test] + #[available_gas(200000000)] + fn softmax() { + let tensor = u32_tensor_2x2x2_helper(); + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + let tensor = TensorTrait::new(tensor.shape, tensor.data, Option::Some(extra)); + + let mut result = NNTrait::softmax(@tensor, 0).data; + + assert((*result.at(0)).into() == 1178, 'result[0] = 0.01798621'); + assert((*result.at(1)).into() == 1178, 'result[1] = 0.01798621'); + assert((*result.at(2)).into() == 1178, 'result[2] = 0.01798621'); + assert((*result.at(3)).into() == 1178, 'result[3] = 0.01798621'); + assert((*result.at(4)).into() == 64357, 'result[4] = 0.01798621'); + assert((*result.at(5)).into() == 64357, 'result[5] = 0.01798621'); + assert((*result.at(6)).into() == 64357, 'result[6] = 0.01798621'); + assert((*result.at(7)).into() == 64357, 'result[7] = 0.01798621'); + + let mut result = NNTrait::softmax(@tensor, 1).data; + + assert((*result.at(0)).into() == 7812, 'result[0] = 0.11920292'); + assert((*result.at(1)).into() == 7812, 'result[1] = 0.11920292'); + assert((*result.at(2)).into() == 57723, 'result[2] = 0.88079708'); + assert((*result.at(3)).into() == 57723, 'result[3] = 0.88079708'); + assert((*result.at(4)).into() == 7812, 'result[4] = 0.11920292'); + assert((*result.at(5)).into() == 7812, 'result[5] = 0.11920292'); + assert((*result.at(6)).into() == 57723, 'result[6] = 0.88079708'); + assert((*result.at(7)).into() == 57723, 'result[7] = 0.88079708'); + + let mut result = NNTrait::softmax(@tensor, 2).data; + + assert((*result.at(0)).into() == 17625, 'result[0] = 0.26894142'); + assert((*result.at(1)).into() == 47910, 'result[1] = 0.73105858'); + assert((*result.at(2)).into() == 17625, 'result[2] = 0.26894142'); + assert((*result.at(3)).into() == 47910, 'result[3] = 0.73105858'); + assert((*result.at(4)).into() == 17625, 'result[4] = 0.26894142'); + assert((*result.at(5)).into() == 47910, 'result[5] = 0.73105858'); + assert((*result.at(6)).into() == 17625, 'result[6] = 0.26894142'); + assert((*result.at(7)).into() == 47910, 'result[7] = 0.73105858'); + } + } +} + From cba5acfd08e2cb86ece62a59db52d1eada35ef38 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Thu, 22 Jun 2023 15:57:18 +0300 Subject: [PATCH 046/126] refactor softplus tests --- .../softplus/softplus_i32_test.cairo | 350 +++++++++++++++-- .../softplus/softplus_u32_test.cairo | 355 +++++++++++++++--- 2 files changed, 617 insertions(+), 88 deletions(-) diff --git a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo index 0b3ac1cde..eeebccfc3 100644 --- a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo +++ b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo @@ -1,42 +1,312 @@ -use core::option::OptionTrait; -use array::ArrayTrait; -use array::SpanTrait; -use traits::Into; - -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32::NN_i32; -use orion::numbers::fixed_point::core::FixedImpl; -use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; - -#[test] -#[available_gas(50000000)] -fn softplus_i32_test() { - let mut shape = ArrayTrait::::new(); - shape.append(2); - shape.append(2); - - let mut data = ArrayTrait::::new(); - let val_1 = IntegerTrait::new(0, false); - let val_2 = IntegerTrait::new(1, false); - let val_3 = IntegerTrait::new(2, true); - let val_4 = IntegerTrait::new(3, true); - - data.append(val_1); - data.append(val_2); - data.append(val_3); - data.append(val_4); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); - let mut result = NNTrait::softplus(@tensor); - - assert((*result.data.at(0)).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 - assert((*result.data.at(1)).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 - assert((*result.data.at(2)).into() == 1064751, 'result[2] == 1064751'); // 0.12692797 - assert((*result.data.at(3)).into() == 407580, 'result[3] == 407580'); // 0.04858729 +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + + #[test] + #[available_gas(50000000)] + fn softplus() { + let mut shape = ArrayTrait::::new(); + shape.append(4); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(3, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softplus(@tensor); + + assert((*result.data.at(0)).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 + assert((*result.data.at(1)).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 + assert((*result.data.at(2)).into() == 1064751, 'result[2] == 1064751'); // 0.12692797 + assert((*result.data.at(3)).into() == 407580, 'result[3] == 407580'); // 0.04858729 + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16Into, FP16x16Print + }; + + #[test] + #[available_gas(50000000)] + fn softplus() { + let mut shape = ArrayTrait::::new(); + shape.append(4); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(3, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softplus(@tensor); + + assert((*result.data.at(0)).into() == 45355, 'result[0] == 45355'); // 0.6931452 + assert((*result.data.at(1)).into() == 86022, 'result[1] == 86022'); // 1.31326096 + assert((*result.data.at(2)).into() == 8315, 'result[2] == 8315'); // 0.12692797 + assert((*result.data.at(3)).into() == 3182, 'result[3] == 3182'); // 0.04858729 + } + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + + #[test] + #[available_gas(50000000)] + fn softplus() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(3, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softplus(@tensor); + + assert((*result.data.at(0)).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 + assert((*result.data.at(1)).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 + assert((*result.data.at(2)).into() == 1064751, 'result[2] == 1064751'); // 0.12692797 + assert((*result.data.at(3)).into() == 407580, 'result[3] == 407580'); // 0.04858729 + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16Into, FP16x16Print + }; + + #[test] + #[available_gas(50000000)] + fn softplus() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(3, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softplus(@tensor); + + assert((*result.data.at(0)).into() == 45355, 'result[0] == 45355'); // 0.6931452 + assert((*result.data.at(1)).into() == 86022, 'result[1] == 86022'); // 1.31326096 + assert((*result.data.at(2)).into() == 8315, 'result[2] == 8315'); // 0.12692797 + assert((*result.data.at(3)).into() == 3182, 'result[3] == 3182'); // 0.04858729 + } + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + + #[test] + #[available_gas(50000000)] + fn softplus() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(3, true); + let val_5 = IntegerTrait::new(0, false); + let val_6 = IntegerTrait::new(1, false); + let val_7 = IntegerTrait::new(2, true); + let val_8 = IntegerTrait::new(3, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softplus(@tensor); + + assert((*result.data.at(0)).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 + assert((*result.data.at(1)).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 + assert((*result.data.at(2)).into() == 1064751, 'result[2] == 1064751'); // 0.12692797 + assert((*result.data.at(3)).into() == 407580, 'result[3] == 407580'); // 0.04858729 + assert((*result.data.at(4)).into() == 5814556, 'result[4] == 5814556'); // 0.6931452 + assert((*result.data.at(5)).into() == 11016447, 'result[5] == 11016447'); // 1.31326096 + assert((*result.data.at(6)).into() == 1064751, 'result[6] == 1064751'); // 0.12692797 + assert((*result.data.at(7)).into() == 407580, 'result[7] == 407580'); // 0.04858729 + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16Into, FP16x16Print + }; + + #[test] + #[available_gas(50000000)] + fn softplus() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(3, true); + let val_5 = IntegerTrait::new(0, false); + let val_6 = IntegerTrait::new(1, false); + let val_7 = IntegerTrait::new(2, true); + let val_8 = IntegerTrait::new(3, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softplus(@tensor); + + assert((*result.data.at(0)).into() == 45355, 'result[0] == 45355'); // 0.6931452 + assert((*result.data.at(1)).into() == 86022, 'result[1] == 86022'); // 1.31326096 + assert((*result.data.at(2)).into() == 8315, 'result[2] == 8315'); // 0.12692797 + assert((*result.data.at(3)).into() == 3182, 'result[3] == 3182'); // 0.04858729 + assert((*result.data.at(4)).into() == 45355, 'result[4] == 45355'); // 0.6931452 + assert((*result.data.at(5)).into() == 86022, 'result[5] == 86022'); // 1.31326096 + assert((*result.data.at(6)).into() == 8315, 'result[6] == 8315'); // 0.12692797 + assert((*result.data.at(7)).into() == 3182, 'result[7] == 3182'); // 0.04858729 + } + } } diff --git a/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo b/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo index 9da2bb101..e03679fc9 100644 --- a/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo +++ b/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo @@ -1,50 +1,309 @@ -use core::option::OptionTrait; -use array::ArrayTrait; -use array::SpanTrait; - -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; -use orion::numbers::signed_integer::integer_trait::IntegerTrait; -use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32::NN_u32; -use orion::numbers::fixed_point::core::FixedTrait; - -use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; -use orion::numbers::fixed_point::core::FixedImpl; - -#[test] -#[available_gas(5000000)] -fn softplus_u32_test() { - let mut shape = ArrayTrait::::new(); - shape.append(2); - shape.append(2); - - let mut data = ArrayTrait::::new(); - let val_1 = 0; - let val_2 = 1; - let val_3 = 2; - let val_4 = 3; - - data.append(val_1); - data.append(val_2); - data.append(val_3); - data.append(val_4); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); - let mut result = NNTrait::softplus(@tensor); - - let data = *result.data.at(0); - assert(data == FixedTrait::new(5814556, false), 'result[0] == 5814556'); // 0.6931452 - - let data = *result.data.at(1); - assert(data == FixedTrait::new(11016447, false), 'result[1] == 11016447'); // 1.31326096 - - let data = *result.data.at(2); - assert(data == FixedTrait::new(17841964, false), 'result[2] == 17841964'); // 2.12692796 - - let data = *result.data.at(3); - assert(data == FixedTrait::new(25573406, false), 'result[3] == 25573406'); // 3.04858728 +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + + #[test] + #[available_gas(50000000)] + fn softplus() { + let mut shape = ArrayTrait::::new(); + shape.append(4); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 3; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softplus(@tensor); + + assert((*result.data.at(0)).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 + assert((*result.data.at(1)).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 + assert((*result.data.at(2)).into() == 17841964, 'result[2] == 17841964'); // 2.1269 + assert((*result.data.at(3)).into() == 25573406, 'result[3] == 25573406'); // 3.0485875 + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Into}; + + #[test] + #[available_gas(50000000)] + fn softplus() { + let mut shape = ArrayTrait::::new(); + shape.append(4); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 3; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softplus(@tensor); + + assert((*result.data.at(0)).into() == 45355, 'result[0] == 45355'); // 0.6931452 + assert((*result.data.at(1)).into() == 86022, 'result[1] == 86022'); // 1.31326096 + assert( + (*result.data.at(2)).into() == 139388, 'result[2] == 139388' + ); // 2.12689208984375 + assert((*result.data.at(3)).into() == 199788, 'result[3] == 199788'); // 3.04852294 + } + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + + #[test] + #[available_gas(50000000)] + fn softplus() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 3; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softplus(@tensor); + + assert((*result.data.at(0)).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 + assert((*result.data.at(1)).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 + assert( + (*result.data.at(2)).into() == 17841964, 'result[2] == 17841964' + ); // 2.12689208984375 + assert((*result.data.at(3)).into() == 25573406, 'result[3] == 25573406'); // 3.0485875 + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Into}; + + #[test] + #[available_gas(50000000)] + fn softplus() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 3; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softplus(@tensor); + + assert((*result.data.at(0)).into() == 45355, 'result[0] == 45355'); // 0.6931452 + assert((*result.data.at(1)).into() == 86022, 'result[1] == 86022'); // 1.31326096 + assert( + (*result.data.at(2)).into() == 139388, 'result[2] == 139388' + ); // 2.12689208984375 + assert((*result.data.at(3)).into() == 199788, 'result[3] == 199788'); // 3.04852294 + } + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod fp8x23 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + + #[test] + #[available_gas(50000000)] + fn softplus() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 3; + let val_5 = 0; + let val_6 = 1; + let val_7 = 2; + let val_8 = 3; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softplus(@tensor); + + assert((*result.data.at(0)).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 + assert((*result.data.at(1)).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 + assert( + (*result.data.at(2)).into() == 17841964, 'result[2] == 17841964' + ); // 2.12689208984375 + assert((*result.data.at(3)).into() == 25573406, 'result[3] == 25573406'); // 3.0485875 + assert((*result.data.at(4)).into() == 5814556, 'result[4] == 5814556'); // 0.6931452 + assert((*result.data.at(5)).into() == 11016447, 'result[5] == 11016447'); // 1.31326096 + assert((*result.data.at(6)).into() == 17841964, 'result[6] == 17841964'); // 2.1269278 + assert((*result.data.at(7)).into() == 25573406, 'result[7] == 25573406'); // 3.0485875 + } + } + + #[cfg(test)] + mod fp16x16 { + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Into}; + + #[test] + #[available_gas(50000000)] + fn softplus() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 3; + let val_5 = 0; + let val_6 = 1; + let val_7 = 2; + let val_8 = 3; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softplus(@tensor); + + assert((*result.data.at(0)).into() == 45355, 'result[0] == 45355'); // 0.6931452 + assert((*result.data.at(1)).into() == 86022, 'result[1] == 86022'); // 1.31326096 + assert( + (*result.data.at(2)).into() == 139388, 'result[2] == 139388' + ); // 2.12689208984375 + assert((*result.data.at(3)).into() == 199788, 'result[3] == 199788'); // 3.04852294 + assert((*result.data.at(4)).into() == 45355, 'result[4] == 45355'); // 0.6931452 + assert((*result.data.at(5)).into() == 86022, 'result[5] == 86022'); // 1.31326096 + assert( + (*result.data.at(6)).into() == 139388, 'result[6] == 139388' + ); // 2.12689208984375 + assert((*result.data.at(7)).into() == 199788, 'result[7] == 199788'); // 3.04852294 + } + } } From 80f097befe03c9223382b7a1f5480ec175af0997 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Thu, 22 Jun 2023 16:14:25 +0300 Subject: [PATCH 047/126] refactor softsign --- .../softplus/softplus_i32_test.cairo | 2 +- .../softsign/softsign_i32_test.cairo | 345 ++++++++++++-- .../softsign/softsign_u32_test.cairo | 430 ++++++++++++++++-- 3 files changed, 686 insertions(+), 91 deletions(-) diff --git a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo index eeebccfc3..c0070deb6 100644 --- a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo +++ b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo @@ -188,7 +188,7 @@ mod tensor_2D { } } -// ===== 2D ===== // +// ===== 3D ===== // #[cfg(test)] mod tensor_3D { diff --git a/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo b/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo index d7c8417a8..794030012 100644 --- a/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo +++ b/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo @@ -1,43 +1,306 @@ -use core::option::OptionTrait; -use array::ArrayTrait; -use array::SpanTrait; -use traits::Into; - -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; -use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_i32::NN_i32; -use orion::numbers::fixed_point::core::FixedImpl; -use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; - -#[test] -#[available_gas(2000000)] -fn softsign_i32_test() { - let mut shape = ArrayTrait::::new(); - shape.append(2); - shape.append(2); - - let mut data = ArrayTrait::::new(); - let val_1 = IntegerTrait::new(0, false); - let val_2 = IntegerTrait::new(1, false); - let val_3 = IntegerTrait::new(2, true); - let val_4 = IntegerTrait::new(3, true); - - data.append(val_1); - data.append(val_2); - data.append(val_3); - data.append(val_4); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); - let mut result = NNTrait::softsign(@tensor); - - let data = *result.data.at(0); - assert((*result.data.at(0)).into() == 0, 'result[0] == 0'); // 0 - assert((*result.data.at(1)).into() == 4194304, 'result[1] == 4194304'); // 0.5 - assert((*result.data.at(2)).into() == -5592405, 'result[2] == 5592405'); // -0.67 - assert((*result.data.at(3)).into() == -6291456, 'result[3] == 6291456'); // -0.75 +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod fp8x23 { + use core::option::OptionTrait; + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + + #[test] + #[available_gas(2000000)] + fn softsign() { + let mut shape = ArrayTrait::::new(); + shape.append(4); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(3, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softsign(@tensor); + + assert((*result.data.at(0)).into() == 0, 'result[0] == 0'); // 0 + assert((*result.data.at(1)).into() == 4194304, 'result[1] == 4194304'); // 0.5 + assert((*result.data.at(2)).into() == -5592405, 'result[2] == 5592405'); // -0.67 + assert((*result.data.at(3)).into() == -6291456, 'result[3] == 6291456'); // -0.75 + } + } + + mod fp16x16 { + use core::option::OptionTrait; + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Into}; + + #[test] + #[available_gas(2000000)] + fn softsign() { + let mut shape = ArrayTrait::::new(); + shape.append(4); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(3, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softsign(@tensor); + + assert((*result.data.at(0)).into() == 0, 'result[0] == 0'); // 0 + assert((*result.data.at(1)).into() == 32768, 'result[1] == 32768'); // 0.5 + assert((*result.data.at(2)).into() == -43690, 'result[2] == 43690'); // -0.67 + assert((*result.data.at(3)).into() == -49152, 'result[3] == 49152'); // -0.75 + } + } +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod fp8x23 { + use core::option::OptionTrait; + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + + #[test] + #[available_gas(2000000)] + fn softsign() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(3, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softsign(@tensor); + + assert((*result.data.at(0)).into() == 0, 'result[0] == 0'); // 0 + assert((*result.data.at(1)).into() == 4194304, 'result[1] == 4194304'); // 0.5 + assert((*result.data.at(2)).into() == -5592405, 'result[2] == 5592405'); // -0.67 + assert((*result.data.at(3)).into() == -6291456, 'result[3] == 6291456'); // -0.75 + } + } + + mod fp16x16 { + use core::option::OptionTrait; + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Into}; + + #[test] + #[available_gas(2000000)] + fn softsign() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(3, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softsign(@tensor); + + assert((*result.data.at(0)).into() == 0, 'result[0] == 0'); // 0 + assert((*result.data.at(1)).into() == 32768, 'result[1] == 32768'); // 0.5 + assert((*result.data.at(2)).into() == -43690, 'result[2] == 43690'); // -0.67 + assert((*result.data.at(3)).into() == -49152, 'result[3] == 49152'); // -0.75 + } + } } +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod fp8x23 { + use core::option::OptionTrait; + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Into}; + + #[test] + #[available_gas(2000000)] + fn softsign() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(3, true); + let val_5 = IntegerTrait::new(0, false); + let val_6 = IntegerTrait::new(1, false); + let val_7 = IntegerTrait::new(2, true); + let val_8 = IntegerTrait::new(3, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softsign(@tensor); + + assert((*result.data.at(0)).into() == 0, 'result[0] == 0'); // 0 + assert((*result.data.at(1)).into() == 4194304, 'result[1] == 4194304'); // 0.5 + assert((*result.data.at(2)).into() == -5592405, 'result[2] == 5592405'); // -0.67 + assert((*result.data.at(3)).into() == -6291456, 'result[3] == 6291456'); // -0.75 + assert((*result.data.at(4)).into() == 0, 'result[4] == 0'); // 0 + assert((*result.data.at(5)).into() == 4194304, 'result[5] == 4194304'); // 0.5 + assert((*result.data.at(6)).into() == -5592405, 'result[6] == 5592405'); // -0.67 + assert((*result.data.at(7)).into() == -6291456, 'result[7] == 6291456'); // -0.75 + } + } + + mod fp16x16 { + use core::option::OptionTrait; + use array::ArrayTrait; + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_i32::NN_i32; + use orion::numbers::fixed_point::core::FixedImpl; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Into}; + + #[test] + #[available_gas(2000000)] + fn softsign() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = IntegerTrait::new(0, false); + let val_2 = IntegerTrait::new(1, false); + let val_3 = IntegerTrait::new(2, true); + let val_4 = IntegerTrait::new(3, true); + let val_5 = IntegerTrait::new(0, false); + let val_6 = IntegerTrait::new(1, false); + let val_7 = IntegerTrait::new(2, true); + let val_8 = IntegerTrait::new(3, true); + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softsign(@tensor); + + assert((*result.data.at(0)).into() == 0, 'result[0] == 0'); // 0 + assert((*result.data.at(1)).into() == 32768, 'result[1] == 32768'); // 0.5 + assert((*result.data.at(2)).into() == -43690, 'result[2] == 43690'); // -0.67 + assert((*result.data.at(3)).into() == -49152, 'result[3] == 49152'); // -0.75 + assert((*result.data.at(4)).into() == 0, 'result[4] == 0'); // 0 + assert((*result.data.at(5)).into() == 32768, 'result[5] == 32768'); // 0.5 + assert((*result.data.at(6)).into() == -43690, 'result[6] == 43690'); // -0.67 + assert((*result.data.at(7)).into() == -49152, 'result[7] == 49152'); // -0.75 + } + } +} diff --git a/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo b/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo index a5158dbd3..50ee03076 100644 --- a/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo +++ b/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo @@ -1,51 +1,383 @@ -use core::option::OptionTrait; -use core::traits::Into; -use array::ArrayTrait; -use array::SpanTrait; - -use orion::operators::tensor::core::{TensorTrait, ExtraParams}; -use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; -use orion::operators::nn::core::NNTrait; -use orion::operators::nn::implementations::impl_nn_u32::NN_u32; -use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; - -use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; -use orion::numbers::fixed_point::core::FixedImpl; - -#[test] -#[available_gas(2000000)] -fn softsign_u32_test() { - let mut shape = ArrayTrait::::new(); - shape.append(2); - shape.append(2); - - let mut data = ArrayTrait::::new(); - let val_1 = 0; - let val_2 = 1; - let val_3 = 2; - let val_4 = 3; - - data.append(val_1); - data.append(val_2); - data.append(val_3); - data.append(val_4); - - let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; - - let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); - let mut result = NNTrait::softsign(@tensor); - - let data = *result.data.at(0); - assert(data == FixedTrait::new(0, false), 'result[0] == 0'); // 0 - - let data = *result.data.at(1); - assert(data == FixedTrait::new(4194304, false), 'result[1] == 4194304'); // 0.5 - - let data = *result.data.at(2); - assert(data == FixedTrait::new(5592405, false), 'result[2] == 5592405'); // 0.67 - - let data = *result.data.at(3); - assert(data == FixedTrait::new(6291456, false), 'result[3] == 6291456'); // 0.75 +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + #[cfg(test)] + mod fp8x23 { + use core::option::OptionTrait; + use core::traits::Into; + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + use orion::numbers::fixed_point::core::FixedImpl; + + #[test] + #[available_gas(2000000)] + fn softsign() { + let mut shape = ArrayTrait::::new(); + shape.append(4); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 3; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softsign(@tensor); + + let data = *result.data.at(0); + assert(data == FixedTrait::new(0, false), 'result[0] == 0'); // 0 + + let data = *result.data.at(1); + assert(data == FixedTrait::new(4194304, false), 'result[1] == 4194304'); // 0.5 + + let data = *result.data.at(2); + assert(data == FixedTrait::new(5592405, false), 'result[2] == 5592405'); // 0.67 + + let data = *result.data.at(3); + assert(data == FixedTrait::new(6291456, false), 'result[3] == 6291456'); // 0.75 + } + } + + mod fp16x16 { + use core::option::OptionTrait; + use core::traits::Into; + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16PartialEq + }; + use orion::numbers::fixed_point::core::FixedImpl; + + #[test] + #[available_gas(2000000)] + fn softsign() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 3; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softsign(@tensor); + + let data = *result.data.at(0); + assert(data == FixedTrait::new(0, false), 'result[0] == 0'); // 0 + + let data = *result.data.at(1); + assert(data == FixedTrait::new(32768, false), 'result[1] == 32768'); // 0.5 + + let data = *result.data.at(2); + assert(data == FixedTrait::new(43690, false), 'result[2] == 43690'); // 0.67 + + let data = *result.data.at(3); + assert(data == FixedTrait::new(49152, false), 'result[3] == 49152'); // 0.75 + } + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + #[cfg(test)] + mod fp8x23 { + use core::option::OptionTrait; + use core::traits::Into; + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + use orion::numbers::fixed_point::core::FixedImpl; + + #[test] + #[available_gas(2000000)] + fn softsign() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 3; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softsign(@tensor); + + let data = *result.data.at(0); + assert(data == FixedTrait::new(0, false), 'result[0] == 0'); // 0 + + let data = *result.data.at(1); + assert(data == FixedTrait::new(4194304, false), 'result[1] == 4194304'); // 0.5 + + let data = *result.data.at(2); + assert(data == FixedTrait::new(5592405, false), 'result[2] == 5592405'); // 0.67 + + let data = *result.data.at(3); + assert(data == FixedTrait::new(6291456, false), 'result[3] == 6291456'); // 0.75 + } + } + + mod fp16x16 { + use core::option::OptionTrait; + use core::traits::Into; + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16PartialEq + }; + use orion::numbers::fixed_point::core::FixedImpl; + + #[test] + #[available_gas(2000000)] + fn softsign() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 3; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softsign(@tensor); + + let data = *result.data.at(0); + assert(data == FixedTrait::new(0, false), 'result[0] == 0'); // 0 + + let data = *result.data.at(1); + assert(data == FixedTrait::new(32768, false), 'result[1] == 32768'); // 0.5 + + let data = *result.data.at(2); + assert(data == FixedTrait::new(43690, false), 'result[2] == 43690'); // 0.67 + + let data = *result.data.at(3); + assert(data == FixedTrait::new(49152, false), 'result[3] == 49152'); // 0.75 + } + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + #[cfg(test)] + mod fp8x23 { + use core::option::OptionTrait; + use core::traits::Into; + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23PartialEq}; + use orion::numbers::fixed_point::core::FixedImpl; + + #[test] + #[available_gas(2000000)] + fn softsign() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 3; + let val_5 = 0; + let val_6 = 1; + let val_7 = 2; + let val_8 = 3; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softsign(@tensor); + + let data = *result.data.at(0); + assert(data == FixedTrait::new(0, false), 'result[0] == 0'); // 0 + + let data = *result.data.at(1); + assert(data == FixedTrait::new(4194304, false), 'result[1] == 4194304'); // 0.5 + + let data = *result.data.at(2); + assert(data == FixedTrait::new(5592405, false), 'result[2] == 5592405'); // 0.67 + + let data = *result.data.at(3); + assert(data == FixedTrait::new(6291456, false), 'result[3] == 6291456'); // 0.75 + + let data = *result.data.at(4); + assert(data == FixedTrait::new(0, false), 'result[4] == 0'); // 0 + + let data = *result.data.at(5); + assert(data == FixedTrait::new(4194304, false), 'result[5] == 4194304'); // 0.5 + + let data = *result.data.at(6); + assert(data == FixedTrait::new(5592405, false), 'result[6] == 5592405'); // 0.67 + + let data = *result.data.at(7); + assert(data == FixedTrait::new(6291456, false), 'result[7] == 6291456'); // 0.75 + } + } + + mod fp16x16 { + use core::option::OptionTrait; + use core::traits::Into; + use array::ArrayTrait; + use array::SpanTrait; + + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait}; + use orion::operators::nn::core::NNTrait; + use orion::operators::nn::implementations::impl_nn_u32::NN_u32; + use orion::numbers::fixed_point::core::{FixedType, FixedTrait}; + + use orion::numbers::fixed_point::implementations::impl_16x16::{ + FP16x16Impl, FP16x16PartialEq + }; + use orion::numbers::fixed_point::core::FixedImpl; + + #[test] + #[available_gas(2000000)] + fn softsign() { + let mut shape = ArrayTrait::::new(); + shape.append(2); + shape.append(2); + shape.append(2); + + let mut data = ArrayTrait::::new(); + let val_1 = 0; + let val_2 = 1; + let val_3 = 2; + let val_4 = 3; + let val_5 = 0; + let val_6 = 1; + let val_7 = 2; + let val_8 = 3; + + data.append(val_1); + data.append(val_2); + data.append(val_3); + data.append(val_4); + data.append(val_5); + data.append(val_6); + data.append(val_7); + data.append(val_8); + + let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP16x16(())) }; + + let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); + let mut result = NNTrait::softsign(@tensor); + + let data = *result.data.at(0); + assert(data == FixedTrait::new(0, false), 'result[0] == 0'); // 0 + + let data = *result.data.at(1); + assert(data == FixedTrait::new(32768, false), 'result[1] == 32768'); // 0.5 + + let data = *result.data.at(2); + assert(data == FixedTrait::new(43690, false), 'result[2] == 43690'); // 0.67 + + let data = *result.data.at(3); + assert(data == FixedTrait::new(49152, false), 'result[3] == 49152'); // 0.75 + + let data = *result.data.at(4); + assert(data == FixedTrait::new(0, false), 'result[4] == 0'); // 0 + + let data = *result.data.at(5); + assert(data == FixedTrait::new(32768, false), 'result[5] == 32768'); // 0.5 + + let data = *result.data.at(6); + assert(data == FixedTrait::new(43690, false), 'result[6] == 43690'); // 0.67 + + let data = *result.data.at(7); + assert(data == FixedTrait::new(49152, false), 'result[7] == 49152'); // 0.75 + } + } } From 8bd493b5046d1e4668c132fe6d5897d8ba691607 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Thu, 22 Jun 2023 16:15:02 +0300 Subject: [PATCH 048/126] Update CHANGELOG.md --- docs/CHANGELOG.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md index 1e2af543f..3fb8083a1 100644 --- a/docs/CHANGELOG.md +++ b/docs/CHANGELOG.md @@ -6,6 +6,11 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), ## [Unreleased] - 2023-06-21 +### Changed +- Refactor nn tests to cover n-dimensions + +## [Unreleased] - 2023-06-21 + ### Changed - Refactor tensor tests to cover n-dimensions From 4552895f3f1e03cba900be0808a41cd4f6b1bc84 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Thu, 22 Jun 2023 16:17:53 +0300 Subject: [PATCH 049/126] rename modules in tests --- .../nn/functional/leaky_relu/leaky_relu_i32_test.cairo | 6 +++--- .../nn/functional/leaky_relu/leaky_relu_u32_test.cairo | 6 +++--- .../nn/functional/logsoftmax/logsoftmax_i32_test.cairo | 6 +++--- .../nn/functional/logsoftmax/logsoftmax_u32_test.cairo | 6 +++--- src/tests/operators/nn/functional/relu/relu_i32_test.cairo | 6 +++--- src/tests/operators/nn/functional/relu/relu_u32_test.cairo | 6 +++--- .../operators/nn/functional/sigmoid/sigmoid_i32_test.cairo | 6 +++--- .../operators/nn/functional/sigmoid/sigmoid_u32_test.cairo | 6 +++--- .../operators/nn/functional/softmax/softmax_i32_test.cairo | 6 +++--- .../operators/nn/functional/softmax/softmax_u32_test.cairo | 6 +++--- .../nn/functional/softplus/softplus_i32_test.cairo | 6 +++--- .../nn/functional/softplus/softplus_u32_test.cairo | 6 +++--- .../nn/functional/softsign/softsign_i32_test.cairo | 6 +++--- .../nn/functional/softsign/softsign_u32_test.cairo | 6 +++--- 14 files changed, 42 insertions(+), 42 deletions(-) diff --git a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo index 14c395c09..8bbd9f983 100644 --- a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo +++ b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo @@ -1,7 +1,7 @@ // ===== 1D ===== // #[cfg(test)] -mod tensor_1D { +mod input_1D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; @@ -111,7 +111,7 @@ mod tensor_1D { // ===== 2D ===== // #[cfg(test)] -mod tensor_2D { +mod input_2D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; @@ -222,7 +222,7 @@ mod tensor_2D { // ===== 3D ===== // #[cfg(test)] -mod tensor_3D { +mod input_3D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; diff --git a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo index 95f2b655a..1092f4f9b 100644 --- a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo +++ b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo @@ -1,7 +1,7 @@ // ===== 1D ===== // #[cfg(test)] -mod tensor_1D { +mod input_1D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; @@ -118,7 +118,7 @@ mod tensor_1D { // ===== 2D ===== // #[cfg(test)] -mod tensor_2D { +mod input_2D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; @@ -237,7 +237,7 @@ mod tensor_2D { // ===== 3D ===== // #[cfg(test)] -mod tensor_3D { +mod input_3D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; diff --git a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_i32_test.cairo b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_i32_test.cairo index 5dc140dbf..4a2d04eae 100644 --- a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_i32_test.cairo +++ b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_i32_test.cairo @@ -1,7 +1,7 @@ // ===== 1D ===== // #[cfg(test)] -mod tensor_1D { +mod input_1D { #[cfg(test)] mod fp8x23 { use array::SpanTrait; @@ -78,7 +78,7 @@ mod tensor_1D { // ===== 2D ===== // #[cfg(test)] -mod tensor_2D { +mod input_2D { #[cfg(test)] mod fp8x23 { use array::SpanTrait; @@ -171,7 +171,7 @@ mod tensor_2D { // ===== 3D ===== // #[cfg(test)] -mod tensor_3D { +mod input_3D { #[cfg(test)] mod fp8x23 { use array::SpanTrait; diff --git a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_u32_test.cairo b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_u32_test.cairo index ced70e521..93949e54b 100644 --- a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_u32_test.cairo +++ b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_u32_test.cairo @@ -1,7 +1,7 @@ // ===== 1D ===== // #[cfg(test)] -mod tensor_1D { +mod input_1D { #[cfg(test)] mod fp8x23 { use array::SpanTrait; @@ -78,7 +78,7 @@ mod tensor_1D { // ===== 2D ===== // #[cfg(test)] -mod tensor_2D { +mod input_2D { #[cfg(test)] mod fp8x23 { use array::SpanTrait; @@ -171,7 +171,7 @@ mod tensor_2D { // ===== 3D ===== // #[cfg(test)] -mod tensor_3D { +mod input_3D { #[cfg(test)] mod fp8x23 { use array::SpanTrait; diff --git a/src/tests/operators/nn/functional/relu/relu_i32_test.cairo b/src/tests/operators/nn/functional/relu/relu_i32_test.cairo index 7fb45f98d..a9c67582c 100644 --- a/src/tests/operators/nn/functional/relu/relu_i32_test.cairo +++ b/src/tests/operators/nn/functional/relu/relu_i32_test.cairo @@ -1,7 +1,7 @@ // ===== 1D ===== // #[cfg(test)] -mod tensor_1D { +mod input_1D { use array::ArrayTrait; use array::SpanTrait; use traits::Into; @@ -45,7 +45,7 @@ mod tensor_1D { // ===== 2D ===== // #[cfg(test)] -mod tensor_2D { +mod input_2D { use array::ArrayTrait; use array::SpanTrait; use traits::Into; @@ -90,7 +90,7 @@ mod tensor_2D { // ===== 3D ===== // #[cfg(test)] -mod tensor_3D { +mod input_3D { use array::ArrayTrait; use array::SpanTrait; use traits::Into; diff --git a/src/tests/operators/nn/functional/relu/relu_u32_test.cairo b/src/tests/operators/nn/functional/relu/relu_u32_test.cairo index 1fd1a488c..9f13bd17a 100644 --- a/src/tests/operators/nn/functional/relu/relu_u32_test.cairo +++ b/src/tests/operators/nn/functional/relu/relu_u32_test.cairo @@ -1,7 +1,7 @@ // ===== 1D ===== // #[cfg(test)] -mod tensor_1D { +mod input_1D { use array::ArrayTrait; use array::SpanTrait; @@ -51,7 +51,7 @@ mod tensor_1D { // ===== 2D ===== // #[cfg(test)] -mod tensor_2D { +mod input_2D { use array::ArrayTrait; use array::SpanTrait; @@ -102,7 +102,7 @@ mod tensor_2D { // ===== 3D ===== // #[cfg(test)] -mod tensor_3D { +mod input_3D { use array::ArrayTrait; use array::SpanTrait; diff --git a/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo b/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo index 4652353ae..879e8187f 100644 --- a/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo +++ b/src/tests/operators/nn/functional/sigmoid/sigmoid_i32_test.cairo @@ -1,7 +1,7 @@ // ===== 1D ===== // #[cfg(test)] -mod tensor_1D { +mod input_1D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; @@ -107,7 +107,7 @@ mod tensor_1D { // ===== 2D ===== // #[cfg(test)] -mod tensor_2D { +mod input_2D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; @@ -215,7 +215,7 @@ mod tensor_2D { // ===== 3D ===== // #[cfg(test)] -mod tensor_3D { +mod input_3D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; diff --git a/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo b/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo index e3782d278..cc2781368 100644 --- a/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo +++ b/src/tests/operators/nn/functional/sigmoid/sigmoid_u32_test.cairo @@ -1,7 +1,7 @@ // ===== 1D ===== // #[cfg(test)] -mod tensor_1D { +mod input_1D { #[cfg(test)] mod fp8x23 { use core::debug::PrintTrait; @@ -104,7 +104,7 @@ mod tensor_1D { // ===== 2D ===== // #[cfg(test)] -mod tensor_2D { +mod input_2D { #[cfg(test)] mod fp8x23 { use core::debug::PrintTrait; @@ -209,7 +209,7 @@ mod tensor_2D { // ===== 3D ===== // #[cfg(test)] -mod tensor_3D { +mod input_3D { #[cfg(test)] mod fp8x23 { use core::debug::PrintTrait; diff --git a/src/tests/operators/nn/functional/softmax/softmax_i32_test.cairo b/src/tests/operators/nn/functional/softmax/softmax_i32_test.cairo index 7231f4bdf..2a9306462 100644 --- a/src/tests/operators/nn/functional/softmax/softmax_i32_test.cairo +++ b/src/tests/operators/nn/functional/softmax/softmax_i32_test.cairo @@ -1,7 +1,7 @@ // ===== 1D ===== // #[cfg(test)] -mod tensor_1D { +mod input_1D { #[cfg(test)] mod fp8x23 { use array::SpanTrait; @@ -68,7 +68,7 @@ mod tensor_1D { // ===== 2D ===== // #[cfg(test)] -mod tensor_2D { +mod input_2D { #[cfg(test)] mod fp8x23 { use array::SpanTrait; @@ -148,7 +148,7 @@ mod tensor_2D { // ===== 3D ===== // #[cfg(test)] -mod tensor_3D { +mod input_3D { #[cfg(test)] mod fp8x23 { use array::SpanTrait; diff --git a/src/tests/operators/nn/functional/softmax/softmax_u32_test.cairo b/src/tests/operators/nn/functional/softmax/softmax_u32_test.cairo index dfe4b4dde..39d9daeb2 100644 --- a/src/tests/operators/nn/functional/softmax/softmax_u32_test.cairo +++ b/src/tests/operators/nn/functional/softmax/softmax_u32_test.cairo @@ -1,7 +1,7 @@ // ===== 1D ===== // #[cfg(test)] -mod tensor_1D { +mod input_1D { #[cfg(test)] mod fp8x23 { use array::SpanTrait; @@ -68,7 +68,7 @@ mod tensor_1D { // ===== 2D ===== // #[cfg(test)] -mod tensor_2D { +mod input_2D { #[cfg(test)] mod fp8x23 { use array::SpanTrait; @@ -148,7 +148,7 @@ mod tensor_2D { // ===== 3D ===== // #[cfg(test)] -mod tensor_3D { +mod input_3D { #[cfg(test)] mod fp8x23 { use array::SpanTrait; diff --git a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo index c0070deb6..82f33ae41 100644 --- a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo +++ b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo @@ -1,7 +1,7 @@ // ===== 1D ===== // #[cfg(test)] -mod tensor_1D { +mod input_1D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; @@ -95,7 +95,7 @@ mod tensor_1D { // ===== 2D ===== // #[cfg(test)] -mod tensor_2D { +mod input_2D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; @@ -191,7 +191,7 @@ mod tensor_2D { // ===== 3D ===== // #[cfg(test)] -mod tensor_3D { +mod input_3D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; diff --git a/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo b/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo index e03679fc9..ac3c2c0f1 100644 --- a/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo +++ b/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo @@ -1,7 +1,7 @@ // ===== 1D ===== // #[cfg(test)] -mod tensor_1D { +mod input_1D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; @@ -92,7 +92,7 @@ mod tensor_1D { // ===== 2D ===== // #[cfg(test)] -mod tensor_2D { +mod input_2D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; @@ -187,7 +187,7 @@ mod tensor_2D { // ===== 3D ===== // #[cfg(test)] -mod tensor_3D { +mod input_3D { #[cfg(test)] mod fp8x23 { use array::ArrayTrait; diff --git a/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo b/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo index 794030012..e19c1283d 100644 --- a/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo +++ b/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo @@ -1,7 +1,7 @@ // ===== 1D ===== // #[cfg(test)] -mod tensor_1D { +mod input_1D { #[cfg(test)] mod fp8x23 { use core::option::OptionTrait; @@ -94,7 +94,7 @@ mod tensor_1D { // ===== 2D ===== // #[cfg(test)] -mod tensor_2D { +mod input_2D { #[cfg(test)] mod fp8x23 { use core::option::OptionTrait; @@ -188,7 +188,7 @@ mod tensor_2D { // ===== 3D ===== // #[cfg(test)] -mod tensor_3D { +mod input_3D { #[cfg(test)] mod fp8x23 { use core::option::OptionTrait; diff --git a/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo b/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo index 50ee03076..52c5ec550 100644 --- a/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo +++ b/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo @@ -1,7 +1,7 @@ // ===== 1D ===== // #[cfg(test)] -mod tensor_1D { +mod input_1D { #[cfg(test)] mod fp8x23 { use core::option::OptionTrait; @@ -114,7 +114,7 @@ mod tensor_1D { // ===== 2D ===== // #[cfg(test)] -mod tensor_2D { +mod input_2D { #[cfg(test)] mod fp8x23 { use core::option::OptionTrait; @@ -228,7 +228,7 @@ mod tensor_2D { // ===== 3D ===== // #[cfg(test)] -mod tensor_3D { +mod input_3D { #[cfg(test)] mod fp8x23 { use core::option::OptionTrait; From 1ff628d31daf4b3f8747d9c326693ee1cee0d7bf Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Fri, 23 Jun 2023 13:25:47 +0300 Subject: [PATCH 050/126] replace .at with IndexView --- src/operators/tensor/helpers.cairo | 6 +- .../linalg/matmul/matmul_fp/fp16x16.cairo | 8 +- .../linalg/matmul/matmul_fp/fp8x23.cairo | 8 +- .../tensor/linalg/matmul/matmul_i32.cairo | 8 +- .../tensor/linalg/matmul/matmul_u32.cairo | 8 +- .../transpose/transpose_fp/fp16x16.cairo | 4 +- .../transpose/transpose_fp/fp8x23.cairo | 4 +- .../linalg/transpose/transpose_i32.cairo | 4 +- .../linalg/transpose/transpose_u32.cairo | 4 +- .../tensor/math/argmax/helpers.cairo | 4 +- .../tensor/math/argmin/helpers.cairo | 4 +- .../arithmetic/arithmetic_fp/fp16x16.cairo | 8 +- .../arithmetic/arithmetic_fp/fp8x23.cairo | 8 +- .../math/arithmetic/arithmetic_i32.cairo | 8 +- .../math/arithmetic/arithmetic_u32.cairo | 8 +- .../tensor/math/equal/equal_fp/fp16x16.cairo | 2 +- .../tensor/math/equal/equal_fp/fp8x23.cairo | 2 +- .../tensor/math/equal/equal_i32.cairo | 2 +- .../tensor/math/equal/equal_u32.cairo | 2 +- .../math/greater/greater_fp/fp16x16.cairo | 2 +- .../math/greater/greater_fp/fp8x23.cairo | 2 +- .../tensor/math/greater/greater_i32.cairo | 2 +- .../tensor/math/greater/greater_u32.cairo | 2 +- .../greater_equal_fp/fp16x16.cairo | 2 +- .../greater_equal_fp/fp8x23.cairo | 2 +- .../greater_equal/greater_equal_i32.cairo | 2 +- .../greater_equal/greater_equal_u32.cairo | 2 +- .../tensor/math/less/less_fp/fp16x16.cairo | 2 +- .../tensor/math/less/less_fp/fp8x23.cairo | 2 +- src/operators/tensor/math/less/less_i32.cairo | 2 +- src/operators/tensor/math/less/less_u32.cairo | 2 +- .../less_equal/less_equal_fp/fp16x16.cairo | 2 +- .../less_equal/less_equal_fp/fp8x23.cairo | 2 +- .../math/less_equal/less_equal_i32.cairo | 2 +- .../math/less_equal/less_equal_u32.cairo | 2 +- .../reduce_sum/reduce_sum_fp/fp16x16.cairo | 4 +- .../reduce_sum/reduce_sum_fp/fp8x23.cairo | 4 +- .../math/reduce_sum/reduce_sum_i32.cairo | 4 +- .../math/reduce_sum/reduce_sum_u32.cairo | 4 +- .../leaky_relu/leaky_relu_i32_test.cairo | 36 +-- .../leaky_relu/leaky_relu_u32_test.cairo | 48 +-- .../logsoftmax/logsoftmax_i32_test.cairo | 16 +- .../logsoftmax/logsoftmax_u32_test.cairo | 16 +- .../nn/functional/relu/relu_i32_test.cairo | 20 +- .../nn/functional/relu/relu_u32_test.cairo | 32 +- .../functional/softmax/softmax_i32_test.cairo | 140 ++++----- .../functional/softmax/softmax_u32_test.cairo | 140 ++++----- .../softplus/softplus_i32_test.cairo | 64 ++-- .../softplus/softplus_u32_test.cairo | 64 ++-- .../softsign/softsign_i32_test.cairo | 64 ++-- .../softsign/softsign_u32_test.cairo | 64 ++-- .../stride_fp_test/stride_fp16x16_test.cairo | 12 +- .../stride_fp_test/stride_fp8x23_test.cairo | 12 +- .../tensor/core/stride/stride_i32_test.cairo | 12 +- .../tensor/core/stride/stride_u32_test.cairo | 12 +- .../transpose_fp16x16_test.cairo | 182 ++++++------ .../transpose_fp8x23_test.cairo | 182 ++++++------ .../core/transpose/transpose_u32_test.cairo | 182 ++++++------ .../operators/tensor/core/unravel_index.cairo | 12 +- .../argmax_fp_test/argmax_fp16x16_test.cairo | 78 ++--- .../argmax_fp_test/argmax_fp8x23_test.cairo | 78 ++--- .../tensor/math/argmax/argmax_i32_test.cairo | 78 ++--- .../tensor/math/argmax/argmax_u32_test.cairo | 76 ++--- .../argmin_fp_test/argmin_fp16x16_test.cairo | 78 ++--- .../argmin_fp_test/argmin_fp8x23_test.cairo | 78 ++--- .../tensor/math/argmin/argmin_i32_test.cairo | 78 ++--- .../tensor/math/argmin/argmin_u32_test.cairo | 76 ++--- .../arithmetic_fp16x16_test.cairo | 278 +++++++++--------- .../arithmetic_fp8x23_test.cairo | 278 +++++++++--------- .../math/arithmetic/arithmetic_i32_test.cairo | 278 +++++++++--------- .../math/arithmetic/arithmetic_u32_test.cairo | 278 +++++++++--------- .../ceil/ceil_fp_test/ceil_fp16x16_test.cairo | 32 +- .../ceil/ceil_fp_test/ceil_fp8x23_test.cairo | 32 +- .../equal_fp_test/equal_fp16x16_test.cairo | 120 ++++---- .../equal_fp_test/equal_fp8x23_test.cairo | 120 ++++---- .../tensor/math/equal/equal_i32_test.cairo | 120 ++++---- .../tensor/math/equal/equal_u32_test.cairo | 114 +++---- .../greater_fp16x16_test.cairo | 154 +++++----- .../greater_fp_test/greater_fp8x23_test.cairo | 154 +++++----- .../math/greater/greater_i32_test.cairo | 154 +++++----- .../math/greater/greater_u32_test.cairo | 158 +++++----- .../greater_equal_fp16x16_test.cairo | 154 +++++----- .../greater_equal_fp8x23_test.cairo | 154 +++++----- .../greater_equal_i32_test.cairo | 154 +++++----- .../greater_equal_u32_test.cairo | 158 +++++----- .../less/less_fp_test/less_fp16x16_test.cairo | 154 +++++----- .../less/less_fp_test/less_fp8x23_test.cairo | 154 +++++----- .../tensor/math/less/less_i32_test.cairo | 154 +++++----- .../tensor/math/less/less_u32_test.cairo | 158 +++++----- .../less_equal_fp16x16_test.cairo | 154 +++++----- .../less_equal_fp8x23_test.cairo | 154 +++++----- .../math/less_equal/less_equal_i32_test.cairo | 154 +++++----- .../math/less_equal/less_equal_u32_test.cairo | 158 +++++----- 93 files changed, 3105 insertions(+), 3105 deletions(-) diff --git a/src/operators/tensor/helpers.cairo b/src/operators/tensor/helpers.cairo index f0b340f50..d823c5cfd 100644 --- a/src/operators/tensor/helpers.cairo +++ b/src/operators/tensor/helpers.cairo @@ -174,7 +174,7 @@ fn permutation_output_shape(input_shape: Span, mut axes: Span) -> break (); } - output_shape.append(*input_shape.at(*axes.pop_front().unwrap())); + output_shape.append(*input_shape[*axes.pop_front().unwrap()]); axis += 1; }; @@ -211,9 +211,9 @@ fn combine_indices(output_indices: Span, axis_index: usize, axis: usize) if n == axis { result.append(axis_index); } else if n > axis { - result.append(*output_indices.at(n - 1_usize)); + result.append(*output_indices[n - 1_usize]); } else { - result.append(*output_indices.at(n)); + result.append(*output_indices[n]); } n += 1; diff --git a/src/operators/tensor/linalg/matmul/matmul_fp/fp16x16.cairo b/src/operators/tensor/linalg/matmul/matmul_fp/fp16x16.cairo index b90ce0bd9..c06e3d3d0 100644 --- a/src/operators/tensor/linalg/matmul/matmul_fp/fp16x16.cairo +++ b/src/operators/tensor/linalg/matmul/matmul_fp/fp16x16.cairo @@ -90,9 +90,9 @@ fn dot_product(mut vec1: Span, mut vec2: Span) -> FixedTyp fn matrix_multiply( mat1: Span, mat1_shape: Span, mat2: Span, mat2_shape: Span ) -> Tensor { - let m = *mat1_shape.at(0); - let n = *mat1_shape.at(1); - let p = *mat2_shape.at(1); + let m = *mat1_shape[0]; + let n = *mat1_shape[1]; + let p = *mat2_shape[1]; let mut result_data = ArrayTrait::new(); let mut result_shape = ArrayTrait::new(); @@ -123,7 +123,7 @@ fn matrix_multiply( let mat1_index = i * n + k; let mat2_index = k * p + j; - sum += *mat1.at(mat1_index) * *mat2.at(mat2_index); + sum += *mat1[mat1_index] * *mat2[mat2_index]; k += 1; }; diff --git a/src/operators/tensor/linalg/matmul/matmul_fp/fp8x23.cairo b/src/operators/tensor/linalg/matmul/matmul_fp/fp8x23.cairo index 7abc41c03..bbc9d6150 100644 --- a/src/operators/tensor/linalg/matmul/matmul_fp/fp8x23.cairo +++ b/src/operators/tensor/linalg/matmul/matmul_fp/fp8x23.cairo @@ -88,9 +88,9 @@ fn dot_product(mut vec1: Span, mut vec2: Span) -> FixedTyp fn matrix_multiply( mat1: Span, mat1_shape: Span, mat2: Span, mat2_shape: Span ) -> Tensor { - let m = *mat1_shape.at(0); - let n = *mat1_shape.at(1); - let p = *mat2_shape.at(1); + let m = *mat1_shape[0]; + let n = *mat1_shape[1]; + let p = *mat2_shape[1]; let mut result_data = ArrayTrait::new(); let mut result_shape = ArrayTrait::new(); @@ -121,7 +121,7 @@ fn matrix_multiply( let mat1_index = i * n + k; let mat2_index = k * p + j; - sum += *mat1.at(mat1_index) * *mat2.at(mat2_index); + sum += *mat1[mat1_index] * *mat2[mat2_index]; k += 1; }; diff --git a/src/operators/tensor/linalg/matmul/matmul_i32.cairo b/src/operators/tensor/linalg/matmul/matmul_i32.cairo index 55b0cdbe7..49822afa8 100644 --- a/src/operators/tensor/linalg/matmul/matmul_i32.cairo +++ b/src/operators/tensor/linalg/matmul/matmul_i32.cairo @@ -87,9 +87,9 @@ fn dot_product(mut vec1: Span, mut vec2: Span) -> i32 { fn matrix_multiply( mat1: Span, mat1_shape: Span, mat2: Span, mat2_shape: Span ) -> Tensor { - let m = *mat1_shape.at(0); - let n = *mat1_shape.at(1); - let p = *mat2_shape.at(1); + let m = *mat1_shape[0]; + let n = *mat1_shape[1]; + let p = *mat2_shape[1]; let mut result_data = ArrayTrait::new(); let mut result_shape = ArrayTrait::new(); @@ -120,7 +120,7 @@ fn matrix_multiply( let mat1_index = i * n + k; let mat2_index = k * p + j; - sum += *mat1.at(mat1_index) * *mat2.at(mat2_index); + sum += *mat1[mat1_index] * *mat2[mat2_index]; k += 1; }; diff --git a/src/operators/tensor/linalg/matmul/matmul_u32.cairo b/src/operators/tensor/linalg/matmul/matmul_u32.cairo index 126c93a23..774caf270 100644 --- a/src/operators/tensor/linalg/matmul/matmul_u32.cairo +++ b/src/operators/tensor/linalg/matmul/matmul_u32.cairo @@ -86,9 +86,9 @@ fn dot_product(mut vec1: Span, mut vec2: Span) -> u32 { fn matrix_multiply( mat1: Span, mat1_shape: Span, mat2: Span, mat2_shape: Span ) -> Tensor { - let m = *mat1_shape.at(0); - let n = *mat1_shape.at(1); - let p = *mat2_shape.at(1); + let m = *mat1_shape[0]; + let n = *mat1_shape[1]; + let p = *mat2_shape[1]; let mut result_data = ArrayTrait::new(); let mut result_shape = ArrayTrait::new(); @@ -119,7 +119,7 @@ fn matrix_multiply( let mat1_index = i * n + k; let mat2_index = k * p + j; - sum += *mat1.at(mat1_index) * *mat2.at(mat2_index); + sum += *mat1[mat1_index] * *mat2[mat2_index]; k += 1; }; diff --git a/src/operators/tensor/linalg/transpose/transpose_fp/fp16x16.cairo b/src/operators/tensor/linalg/transpose/transpose_fp/fp16x16.cairo index 17069aa28..910b9bdd2 100644 --- a/src/operators/tensor/linalg/transpose/transpose_fp/fp16x16.cairo +++ b/src/operators/tensor/linalg/transpose/transpose_fp/fp16x16.cairo @@ -39,12 +39,12 @@ fn transpose(self: @Tensor, axes: Span) -> Tensor { } let input_axis = find_axis(axes, output_axis); - input_indices.append(*output_indices.at(input_axis)); + input_indices.append(*output_indices[input_axis]); output_axis += 1; }; let input_index = ravel_index(*self.shape, input_indices.span()); - output_data.append(*(*self.data).at(input_index)); + output_data.append(*(*self.data)[input_index]); output_index += 1; }; diff --git a/src/operators/tensor/linalg/transpose/transpose_fp/fp8x23.cairo b/src/operators/tensor/linalg/transpose/transpose_fp/fp8x23.cairo index a1f0aaa23..79344cd7d 100644 --- a/src/operators/tensor/linalg/transpose/transpose_fp/fp8x23.cairo +++ b/src/operators/tensor/linalg/transpose/transpose_fp/fp8x23.cairo @@ -39,12 +39,12 @@ fn transpose(self: @Tensor, axes: Span) -> Tensor { } let input_axis = find_axis(axes, output_axis); - input_indices.append(*output_indices.at(input_axis)); + input_indices.append(*output_indices[input_axis]); output_axis += 1; }; let input_index = ravel_index(*self.shape, input_indices.span()); - output_data.append(*(*self.data).at(input_index)); + output_data.append(*(*self.data)[input_index]); output_index += 1; }; diff --git a/src/operators/tensor/linalg/transpose/transpose_i32.cairo b/src/operators/tensor/linalg/transpose/transpose_i32.cairo index b080033d9..0945a1d11 100644 --- a/src/operators/tensor/linalg/transpose/transpose_i32.cairo +++ b/src/operators/tensor/linalg/transpose/transpose_i32.cairo @@ -38,12 +38,12 @@ fn transpose(self: @Tensor, axes: Span) -> Tensor { } let input_axis = find_axis(axes, output_axis); - input_indices.append(*output_indices.at(input_axis)); + input_indices.append(*output_indices[input_axis]); output_axis += 1; }; let input_index = ravel_index(*self.shape, input_indices.span()); - output_data.append(*(*self.data).at(input_index)); + output_data.append(*(*self.data)[input_index]); output_index += 1; }; diff --git a/src/operators/tensor/linalg/transpose/transpose_u32.cairo b/src/operators/tensor/linalg/transpose/transpose_u32.cairo index b576651cc..7e294cba0 100644 --- a/src/operators/tensor/linalg/transpose/transpose_u32.cairo +++ b/src/operators/tensor/linalg/transpose/transpose_u32.cairo @@ -37,12 +37,12 @@ fn transpose(self: @Tensor, axes: Span) -> Tensor { } let input_axis = find_axis(axes, output_axis); - input_indices.append(*output_indices.at(input_axis)); + input_indices.append(*output_indices[input_axis]); output_axis += 1; }; let input_index = ravel_index(*self.shape, input_indices.span()); - output_data.append(*(*self.data).at(input_index)); + output_data.append(*(*self.data)[input_index]); output_index += 1; }; diff --git a/src/operators/tensor/math/argmax/helpers.cairo b/src/operators/tensor/math/argmax/helpers.cairo index cb9810e9c..c45ef8c0b 100644 --- a/src/operators/tensor/math/argmax/helpers.cairo +++ b/src/operators/tensor/math/argmax/helpers.cairo @@ -97,13 +97,13 @@ fn find_argmax< ) -> usize { check_gas(); - if axis_index == *(*input.shape).at(axis) { + if axis_index == *(*input.shape)[axis] { return argmax; } let input_indices = combine_indices(output_indices, axis_index, axis); let input_index = ravel_index(*input.shape, input_indices); - let ele = *(*input.data).at(input_index); + let ele = *(*input.data)[input_index]; let (new_max_value, new_argmax) = if ele > max_value { (ele, axis_index) diff --git a/src/operators/tensor/math/argmin/helpers.cairo b/src/operators/tensor/math/argmin/helpers.cairo index e76d9720c..5a2d8372f 100644 --- a/src/operators/tensor/math/argmin/helpers.cairo +++ b/src/operators/tensor/math/argmin/helpers.cairo @@ -99,13 +99,13 @@ fn find_argmin< T, ) -> usize { check_gas(); - if axis_index == *(*input.shape).at(axis) { + if axis_index == *(*input.shape)[axis] { return argmin; } let input_indices = combine_indices(output_indices, axis_index, axis); let input_index = ravel_index(*input.shape, input_indices); - let ele = *(*input.data).at(input_index); + let ele = *(*input.data)[input_index]; let (new_min_value, new_argmin) = if ele < min_value { (ele, axis_index) diff --git a/src/operators/tensor/math/arithmetic/arithmetic_fp/fp16x16.cairo b/src/operators/tensor/math/arithmetic/arithmetic_fp/fp16x16.cairo index 63a72f60d..21f368209 100644 --- a/src/operators/tensor/math/arithmetic/arithmetic_fp/fp16x16.cairo +++ b/src/operators/tensor/math/arithmetic/arithmetic_fp/fp16x16.cairo @@ -38,7 +38,7 @@ fn add(self: @Tensor, other: @Tensor) -> Tensor let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) + *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] + *(*other.data)[indices_other]); n += 1; if n == num_elements { @@ -76,7 +76,7 @@ fn sub(self: @Tensor, other: @Tensor) -> Tensor let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) - *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] - *(*other.data)[indices_other]); n += 1; if n == num_elements { @@ -114,7 +114,7 @@ fn mul(self: @Tensor, other: @Tensor) -> Tensor let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) * *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] * *(*other.data)[indices_other]); n += 1; if n == num_elements { @@ -152,7 +152,7 @@ fn div(self: @Tensor, other: @Tensor) -> Tensor let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) / *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] / *(*other.data)[indices_other]); n += 1; if n == num_elements { diff --git a/src/operators/tensor/math/arithmetic/arithmetic_fp/fp8x23.cairo b/src/operators/tensor/math/arithmetic/arithmetic_fp/fp8x23.cairo index 0721b4cd0..008e1da02 100644 --- a/src/operators/tensor/math/arithmetic/arithmetic_fp/fp8x23.cairo +++ b/src/operators/tensor/math/arithmetic/arithmetic_fp/fp8x23.cairo @@ -38,7 +38,7 @@ fn add(self: @Tensor, other: @Tensor) -> Tensor let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) + *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] + *(*other.data)[indices_other]); n += 1; if n == num_elements { @@ -76,7 +76,7 @@ fn sub(self: @Tensor, other: @Tensor) -> Tensor let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) - *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] - *(*other.data)[indices_other]); n += 1; if n == num_elements { @@ -114,7 +114,7 @@ fn mul(self: @Tensor, other: @Tensor) -> Tensor let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) * *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] * *(*other.data)[indices_other]); n += 1; if n == num_elements { @@ -152,7 +152,7 @@ fn div(self: @Tensor, other: @Tensor) -> Tensor let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) / *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] / *(*other.data)[indices_other]); n += 1; if n == num_elements { diff --git a/src/operators/tensor/math/arithmetic/arithmetic_i32.cairo b/src/operators/tensor/math/arithmetic/arithmetic_i32.cairo index d223dc872..eb9bec9f6 100644 --- a/src/operators/tensor/math/arithmetic/arithmetic_i32.cairo +++ b/src/operators/tensor/math/arithmetic/arithmetic_i32.cairo @@ -36,7 +36,7 @@ fn add(self: @Tensor, other: @Tensor) -> Tensor { let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) + *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] + *(*other.data)[indices_other]); n += 1; if n == num_elements { @@ -74,7 +74,7 @@ fn sub(self: @Tensor, other: @Tensor) -> Tensor { let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) - *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] - *(*other.data)[indices_other]); n += 1; if n == num_elements { @@ -112,7 +112,7 @@ fn mul(self: @Tensor, other: @Tensor) -> Tensor { let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) * *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] * *(*other.data)[indices_other]); n += 1; if n == num_elements { @@ -150,7 +150,7 @@ fn div(self: @Tensor, other: @Tensor) -> Tensor { let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) / *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] / *(*other.data)[indices_other]); n += 1; if n == num_elements { diff --git a/src/operators/tensor/math/arithmetic/arithmetic_u32.cairo b/src/operators/tensor/math/arithmetic/arithmetic_u32.cairo index 8c09cbdfb..3711ca7b9 100644 --- a/src/operators/tensor/math/arithmetic/arithmetic_u32.cairo +++ b/src/operators/tensor/math/arithmetic/arithmetic_u32.cairo @@ -35,7 +35,7 @@ fn add(self: @Tensor, other: @Tensor) -> Tensor { let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) + *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] + *(*other.data)[indices_other]); n += 1; if n == num_elements { @@ -73,7 +73,7 @@ fn sub(self: @Tensor, other: @Tensor) -> Tensor { let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) - *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] - *(*other.data)[indices_other]); n += 1; if n == num_elements { @@ -111,7 +111,7 @@ fn mul(self: @Tensor, other: @Tensor) -> Tensor { let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) * *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] * *(*other.data)[indices_other]); n += 1; if n == num_elements { @@ -149,7 +149,7 @@ fn div(self: @Tensor, other: @Tensor) -> Tensor { let indices_self = broadcast_index_mapping(*self.shape, indices_broadcasted); let indices_other = broadcast_index_mapping(*other.shape, indices_broadcasted); - result.append(*(*self.data).at(indices_self) / *(*other.data).at(indices_other)); + result.append(*(*self.data)[indices_self] / *(*other.data)[indices_other]); n += 1; if n == num_elements { diff --git a/src/operators/tensor/math/equal/equal_fp/fp16x16.cairo b/src/operators/tensor/math/equal/equal_fp/fp16x16.cairo index bd125e995..beee00fb8 100644 --- a/src/operators/tensor/math/equal/equal_fp/fp16x16.cairo +++ b/src/operators/tensor/math/equal/equal_fp/fp16x16.cairo @@ -35,7 +35,7 @@ fn equal(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; if bigger_current_index == smaller_current_index { data_result.append(1); diff --git a/src/operators/tensor/math/equal/equal_fp/fp8x23.cairo b/src/operators/tensor/math/equal/equal_fp/fp8x23.cairo index 1a20386cd..d458b0663 100644 --- a/src/operators/tensor/math/equal/equal_fp/fp8x23.cairo +++ b/src/operators/tensor/math/equal/equal_fp/fp8x23.cairo @@ -35,7 +35,7 @@ fn equal(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; if bigger_current_index == smaller_current_index { data_result.append(1); diff --git a/src/operators/tensor/math/equal/equal_i32.cairo b/src/operators/tensor/math/equal/equal_i32.cairo index 1eb6789ce..861b24b49 100644 --- a/src/operators/tensor/math/equal/equal_i32.cairo +++ b/src/operators/tensor/math/equal/equal_i32.cairo @@ -31,7 +31,7 @@ fn equal(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; if bigger_current_index == smaller_current_index { data_result.append(1); diff --git a/src/operators/tensor/math/equal/equal_u32.cairo b/src/operators/tensor/math/equal/equal_u32.cairo index c3dc4812b..862b0bd7b 100644 --- a/src/operators/tensor/math/equal/equal_u32.cairo +++ b/src/operators/tensor/math/equal/equal_u32.cairo @@ -29,7 +29,7 @@ fn equal(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; if bigger_current_index == smaller_current_index { data_result.append(1); diff --git a/src/operators/tensor/math/greater/greater_fp/fp16x16.cairo b/src/operators/tensor/math/greater/greater_fp/fp16x16.cairo index 2c8024c7b..8890d3d25 100644 --- a/src/operators/tensor/math/greater/greater_fp/fp16x16.cairo +++ b/src/operators/tensor/math/greater/greater_fp/fp16x16.cairo @@ -33,7 +33,7 @@ fn greater(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/greater/greater_fp/fp8x23.cairo b/src/operators/tensor/math/greater/greater_fp/fp8x23.cairo index 9364f2d6c..216a85695 100644 --- a/src/operators/tensor/math/greater/greater_fp/fp8x23.cairo +++ b/src/operators/tensor/math/greater/greater_fp/fp8x23.cairo @@ -34,7 +34,7 @@ fn greater(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/greater/greater_i32.cairo b/src/operators/tensor/math/greater/greater_i32.cairo index ba1937587..627950dce 100644 --- a/src/operators/tensor/math/greater/greater_i32.cairo +++ b/src/operators/tensor/math/greater/greater_i32.cairo @@ -31,7 +31,7 @@ fn greater(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/greater/greater_u32.cairo b/src/operators/tensor/math/greater/greater_u32.cairo index 3d8a4e238..07f747b5d 100644 --- a/src/operators/tensor/math/greater/greater_u32.cairo +++ b/src/operators/tensor/math/greater/greater_u32.cairo @@ -30,7 +30,7 @@ fn greater(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/greater_equal/greater_equal_fp/fp16x16.cairo b/src/operators/tensor/math/greater_equal/greater_equal_fp/fp16x16.cairo index 9e9ed22cd..97cc22982 100644 --- a/src/operators/tensor/math/greater_equal/greater_equal_fp/fp16x16.cairo +++ b/src/operators/tensor/math/greater_equal/greater_equal_fp/fp16x16.cairo @@ -32,7 +32,7 @@ fn greater_equal(y: @Tensor, z: @Tensor) -> Tensor }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/greater_equal/greater_equal_fp/fp8x23.cairo b/src/operators/tensor/math/greater_equal/greater_equal_fp/fp8x23.cairo index 041c471bf..20cdbb87b 100644 --- a/src/operators/tensor/math/greater_equal/greater_equal_fp/fp8x23.cairo +++ b/src/operators/tensor/math/greater_equal/greater_equal_fp/fp8x23.cairo @@ -33,7 +33,7 @@ fn greater_equal(y: @Tensor, z: @Tensor) -> Tensor }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/greater_equal/greater_equal_i32.cairo b/src/operators/tensor/math/greater_equal/greater_equal_i32.cairo index 855932a36..188bec517 100644 --- a/src/operators/tensor/math/greater_equal/greater_equal_i32.cairo +++ b/src/operators/tensor/math/greater_equal/greater_equal_i32.cairo @@ -31,7 +31,7 @@ fn greater_equal(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/greater_equal/greater_equal_u32.cairo b/src/operators/tensor/math/greater_equal/greater_equal_u32.cairo index f030e89c1..421d3fb2b 100644 --- a/src/operators/tensor/math/greater_equal/greater_equal_u32.cairo +++ b/src/operators/tensor/math/greater_equal/greater_equal_u32.cairo @@ -30,7 +30,7 @@ fn greater_equal(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/less/less_fp/fp16x16.cairo b/src/operators/tensor/math/less/less_fp/fp16x16.cairo index 4e9dc16d2..9cc07988f 100644 --- a/src/operators/tensor/math/less/less_fp/fp16x16.cairo +++ b/src/operators/tensor/math/less/less_fp/fp16x16.cairo @@ -33,7 +33,7 @@ fn less(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/less/less_fp/fp8x23.cairo b/src/operators/tensor/math/less/less_fp/fp8x23.cairo index fbebe1d6e..4b0d6c1f0 100644 --- a/src/operators/tensor/math/less/less_fp/fp8x23.cairo +++ b/src/operators/tensor/math/less/less_fp/fp8x23.cairo @@ -33,7 +33,7 @@ fn less(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/less/less_i32.cairo b/src/operators/tensor/math/less/less_i32.cairo index ca31dc6b0..21ee238a9 100644 --- a/src/operators/tensor/math/less/less_i32.cairo +++ b/src/operators/tensor/math/less/less_i32.cairo @@ -32,7 +32,7 @@ fn less(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/less/less_u32.cairo b/src/operators/tensor/math/less/less_u32.cairo index 8db1299e9..7736e6acd 100644 --- a/src/operators/tensor/math/less/less_u32.cairo +++ b/src/operators/tensor/math/less/less_u32.cairo @@ -30,7 +30,7 @@ fn less(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/less_equal/less_equal_fp/fp16x16.cairo b/src/operators/tensor/math/less_equal/less_equal_fp/fp16x16.cairo index 56b9217ba..acfb76205 100644 --- a/src/operators/tensor/math/less_equal/less_equal_fp/fp16x16.cairo +++ b/src/operators/tensor/math/less_equal/less_equal_fp/fp16x16.cairo @@ -32,7 +32,7 @@ fn less_equal(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/less_equal/less_equal_fp/fp8x23.cairo b/src/operators/tensor/math/less_equal/less_equal_fp/fp8x23.cairo index 93a4dda2b..e03ce80d4 100644 --- a/src/operators/tensor/math/less_equal/less_equal_fp/fp8x23.cairo +++ b/src/operators/tensor/math/less_equal/less_equal_fp/fp8x23.cairo @@ -32,7 +32,7 @@ fn less_equal(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/less_equal/less_equal_i32.cairo b/src/operators/tensor/math/less_equal/less_equal_i32.cairo index bd82d7616..5e55113e7 100644 --- a/src/operators/tensor/math/less_equal/less_equal_i32.cairo +++ b/src/operators/tensor/math/less_equal/less_equal_i32.cairo @@ -31,7 +31,7 @@ fn less_equal(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/less_equal/less_equal_u32.cairo b/src/operators/tensor/math/less_equal/less_equal_u32.cairo index a2bc4f093..c3cf78c88 100644 --- a/src/operators/tensor/math/less_equal/less_equal_u32.cairo +++ b/src/operators/tensor/math/less_equal/less_equal_u32.cairo @@ -30,7 +30,7 @@ fn less_equal(y: @Tensor, z: @Tensor) -> Tensor { }; let bigger_current_index = *bigger_data.pop_front().unwrap(); - let smaller_current_index = *smaller_data.at(smaller_index); + let smaller_current_index = *smaller_data[smaller_index]; let (y_value, z_value) = if retains_input_order { (smaller_current_index, bigger_current_index) diff --git a/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp16x16.cairo b/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp16x16.cairo index bdcbc295e..aa1579ada 100644 --- a/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp16x16.cairo +++ b/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp16x16.cairo @@ -71,7 +71,7 @@ fn accumulate_sum( output_indices: Span, axis: usize ) -> FixedType { - let axis_len = *(input_shape).at(axis); + let axis_len = *(input_shape)[axis]; let mut acc = FixedTrait::new(0, false); let mut axis_index: usize = 0; @@ -86,7 +86,7 @@ fn accumulate_sum( let input_indices = combine_indices(output_indices, axis_index, axis); let input_index = ravel_index(input_shape, input_indices); - let ele = *(input_data).at(input_index); + let ele = *(input_data)[input_index]; acc += ele; axis_index += 1; }; diff --git a/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp8x23.cairo b/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp8x23.cairo index 58c649291..1023c975a 100644 --- a/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp8x23.cairo +++ b/src/operators/tensor/math/reduce_sum/reduce_sum_fp/fp8x23.cairo @@ -71,7 +71,7 @@ fn accumulate_sum( output_indices: Span, axis: usize ) -> FixedType { - let axis_len = *(input_shape).at(axis); + let axis_len = *(input_shape)[axis]; let mut acc = FixedTrait::new(0, false); let mut axis_index: usize = 0; @@ -86,7 +86,7 @@ fn accumulate_sum( let input_indices = combine_indices(output_indices, axis_index, axis); let input_index = ravel_index(input_shape, input_indices); - let ele = *(input_data).at(input_index); + let ele = *(input_data)[input_index]; acc += ele; axis_index += 1; }; diff --git a/src/operators/tensor/math/reduce_sum/reduce_sum_i32.cairo b/src/operators/tensor/math/reduce_sum/reduce_sum_i32.cairo index 1d2fb803e..8ddceb873 100644 --- a/src/operators/tensor/math/reduce_sum/reduce_sum_i32.cairo +++ b/src/operators/tensor/math/reduce_sum/reduce_sum_i32.cairo @@ -66,7 +66,7 @@ fn reduce_sum(self: @Tensor, axis: usize, keepdims: bool) -> Tensor { fn accumulate_sum( mut input_data: Span, input_shape: Span, output_indices: Span, axis: usize ) -> i32 { - let axis_len = *(input_shape).at(axis); + let axis_len = *(input_shape)[axis]; let mut acc = IntegerTrait::new(0, false); let mut axis_index: usize = 0; @@ -81,7 +81,7 @@ fn accumulate_sum( let input_indices = combine_indices(output_indices, axis_index, axis); let input_index = ravel_index(input_shape, input_indices); - let ele = *(input_data).at(input_index); + let ele = *(input_data)[input_index]; acc += ele; axis_index += 1; }; diff --git a/src/operators/tensor/math/reduce_sum/reduce_sum_u32.cairo b/src/operators/tensor/math/reduce_sum/reduce_sum_u32.cairo index 4d5fa6db3..ffb9fa548 100644 --- a/src/operators/tensor/math/reduce_sum/reduce_sum_u32.cairo +++ b/src/operators/tensor/math/reduce_sum/reduce_sum_u32.cairo @@ -65,7 +65,7 @@ fn reduce_sum(self: @Tensor, axis: usize, keepdims: bool) -> Tensor { fn accumulate_sum( mut input_data: Span, input_shape: Span, output_indices: Span, axis: usize ) -> u32 { - let axis_len = *(input_shape).at(axis); + let axis_len = *(input_shape)[axis]; let mut acc = 0; let mut axis_index: usize = 0; @@ -80,7 +80,7 @@ fn accumulate_sum( let input_indices = combine_indices(output_indices, axis_index, axis); let input_index = ravel_index(input_shape, input_indices); - let ele = *(input_data).at(input_index); + let ele = *(input_data)[input_index]; acc += ele; axis_index += 1; }; diff --git a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo index 8bbd9f983..8bb769b76 100644 --- a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo +++ b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_i32_test.cairo @@ -45,11 +45,11 @@ mod input_1D { let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - assert((*result.data.at(0)).into() == 8388608, 'result[0] == 8388608'); // 1 + assert((*result.data[0]).into() == 8388608, 'result[0] == 8388608'); // 1 assert( - (*result.data.at(3)).into() == -1677722, 'result[3] == - 1677722' + (*result.data[3]).into() == -1677722, 'result[3] == - 1677722' ); // 2 * 0.1 = - 0.2 - assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); + assert((*result.data[5]).into() == 0, 'result[5] == 0'); } } @@ -98,11 +98,11 @@ mod input_1D { let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - assert((*result.data.at(0)).into() == 65536, 'result[0] == 65536'); // 1 + assert((*result.data[0]).into() == 65536, 'result[0] == 65536'); // 1 assert( - (*result.data.at(3)).into() == -13108, 'result[3] == - 13108' + (*result.data[3]).into() == -13108, 'result[3] == - 13108' ); // 2 * 0.1 = - 0.2 - assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); + assert((*result.data[5]).into() == 0, 'result[5] == 0'); } } } @@ -156,11 +156,11 @@ mod input_2D { let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - assert((*result.data.at(0)).into() == 8388608, 'result[0] == 8388608'); // 1 + assert((*result.data[0]).into() == 8388608, 'result[0] == 8388608'); // 1 assert( - (*result.data.at(3)).into() == -1677722, 'result[3] == - 1677722' + (*result.data[3]).into() == -1677722, 'result[3] == - 1677722' ); // 2 * 0.1 = - 0.2 - assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); + assert((*result.data[5]).into() == 0, 'result[5] == 0'); } } @@ -210,11 +210,11 @@ mod input_2D { let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - assert((*result.data.at(0)).into() == 65536, 'result[0] == 65536'); // 1 + assert((*result.data[0]).into() == 65536, 'result[0] == 65536'); // 1 assert( - (*result.data.at(3)).into() == -13108, 'result[3] == - 13108' + (*result.data[3]).into() == -13108, 'result[3] == - 13108' ); // 2 * 0.1 = - 0.2 - assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); + assert((*result.data[5]).into() == 0, 'result[5] == 0'); } } } @@ -272,11 +272,11 @@ mod input_3D { let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - assert((*result.data.at(0)).into() == 8388608, 'result[0] == 8388608'); // 1 + assert((*result.data[0]).into() == 8388608, 'result[0] == 8388608'); // 1 assert( - (*result.data.at(3)).into() == -1677722, 'result[3] == - 1677722' + (*result.data[3]).into() == -1677722, 'result[3] == - 1677722' ); // 2 * 0.1 = - 0.2 - assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); + assert((*result.data[5]).into() == 0, 'result[5] == 0'); } } @@ -331,11 +331,11 @@ mod input_3D { let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - assert((*result.data.at(0)).into() == 65536, 'result[0] == 65536'); // 1 + assert((*result.data[0]).into() == 65536, 'result[0] == 65536'); // 1 assert( - (*result.data.at(3)).into() == -13108, 'result[3] == - 13108' + (*result.data[3]).into() == -13108, 'result[3] == - 13108' ); // 2 * 0.1 = - 0.2 - assert((*result.data.at(5)).into() == 0, 'result[5] == 0'); + assert((*result.data[5]).into() == 0, 'result[5] == 0'); } } } diff --git a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo index 1092f4f9b..67e1984a5 100644 --- a/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo +++ b/src/tests/operators/nn/functional/leaky_relu/leaky_relu_u32_test.cairo @@ -43,16 +43,16 @@ mod input_1D { let threshold = 3; let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - let data = *result.data.at(0); + let data = *result.data[0]; assert(data == FixedTrait::new(33554432, false), 'result[0] == 33554432'); // 4 - let data = *result.data.at(1); + let data = *result.data[1]; assert(data == FixedTrait::new(25165824, false), 'result[1] == 25165824'); // 3 - let data = *result.data.at(3); + let data = *result.data[3]; assert(data == FixedTrait::new(838861, false), 'result[3] == 838861'); // 0.1 - let data = *result.data.at(5); + let data = *result.data[5]; assert(data == FixedTrait::new(0, false), 'result[5] == 0'); } } @@ -100,16 +100,16 @@ mod input_1D { let threshold = 3; let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - let data = *result.data.at(0); + let data = *result.data[0]; assert(data == FixedTrait::new(262144, false), 'result[0] == 262144'); // 4 - let data = *result.data.at(1); + let data = *result.data[1]; assert(data == FixedTrait::new(196608, false), 'result[1] == 196608'); // 3 - let data = *result.data.at(3); + let data = *result.data[3]; assert(data == FixedTrait::new(6554, false), 'result[3] == 6554'); // 0.1 - let data = *result.data.at(5); + let data = *result.data[5]; assert(data == FixedTrait::new(0, false), 'result[5] == 0'); } } @@ -161,16 +161,16 @@ mod input_2D { let threshold = 3; let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - let data = *result.data.at(0); + let data = *result.data[0]; assert(data == FixedTrait::new(33554432, false), 'result[0] == 33554432'); // 4 - let data = *result.data.at(1); + let data = *result.data[1]; assert(data == FixedTrait::new(25165824, false), 'result[1] == 25165824'); // 3 - let data = *result.data.at(3); + let data = *result.data[3]; assert(data == FixedTrait::new(838861, false), 'result[3] == 838861'); // 0.1 - let data = *result.data.at(5); + let data = *result.data[5]; assert(data == FixedTrait::new(0, false), 'result[5] == 0'); } } @@ -219,16 +219,16 @@ mod input_2D { let threshold = 3; let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - let data = *result.data.at(0); + let data = *result.data[0]; assert(data == FixedTrait::new(262144, false), 'result[0] == 262144'); // 4 - let data = *result.data.at(1); + let data = *result.data[1]; assert(data == FixedTrait::new(196608, false), 'result[1] == 196608'); // 3 - let data = *result.data.at(3); + let data = *result.data[3]; assert(data == FixedTrait::new(6554, false), 'result[3] == 6554'); // 0.1 - let data = *result.data.at(5); + let data = *result.data[5]; assert(data == FixedTrait::new(0, false), 'result[5] == 0'); } } @@ -285,16 +285,16 @@ mod input_3D { let threshold = 3; let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - let data = *result.data.at(0); + let data = *result.data[0]; assert(data == FixedTrait::new(33554432, false), 'result[0] == 33554432'); // 4 - let data = *result.data.at(1); + let data = *result.data[1]; assert(data == FixedTrait::new(25165824, false), 'result[1] == 25165824'); // 3 - let data = *result.data.at(3); + let data = *result.data[3]; assert(data == FixedTrait::new(838861, false), 'result[3] == 838861'); // 0.1 - let data = *result.data.at(5); + let data = *result.data[5]; assert(data == FixedTrait::new(0, false), 'result[5] == 0'); } } @@ -348,16 +348,16 @@ mod input_3D { let threshold = 3; let mut result = NNTrait::leaky_relu(@tensor, @alpha, threshold); - let data = *result.data.at(0); + let data = *result.data[0]; assert(data == FixedTrait::new(262144, false), 'result[0] == 262144'); // 4 - let data = *result.data.at(1); + let data = *result.data[1]; assert(data == FixedTrait::new(196608, false), 'result[1] == 196608'); // 3 - let data = *result.data.at(3); + let data = *result.data[3]; assert(data == FixedTrait::new(6554, false), 'result[3] == 6554'); // 0.1 - let data = *result.data.at(5); + let data = *result.data[5]; assert(data == FixedTrait::new(0, false), 'result[5] == 0'); } } diff --git a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_i32_test.cairo b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_i32_test.cairo index 4a2d04eae..15268d878 100644 --- a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_i32_test.cairo +++ b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_i32_test.cairo @@ -108,10 +108,10 @@ mod input_2D { let mut result = NNTrait::logsoftmax(@tensor, 1).data; - assert((*result.at(0)).into() == -11016451, 'result[0] = -1.3134'); - assert((*result.at(1)).into() == -2627827, 'result[1] = -0.3132'); - assert((*result.at(2)).into() == -11016460, 'result[2] = -1.3134'); - assert((*result.at(3)).into() == -2627829, 'result[3] = -0.3132'); + assert((*result[0]).into() == -11016451, 'result[0] = -1.3134'); + assert((*result[1]).into() == -2627827, 'result[1] = -0.3132'); + assert((*result[2]).into() == -11016460, 'result[2] = -1.3134'); + assert((*result[3]).into() == -2627829, 'result[3] = -0.3132'); } #[test] @@ -152,10 +152,10 @@ mod input_2D { let mut result = NNTrait::logsoftmax(@tensor, 1).data; - assert((*result.at(0)).into() == -86024, 'result[0] = -1.3134'); - assert((*result.at(1)).into() == -20523, 'result[1] = -0.3132'); - assert((*result.at(2)).into() == -86024, 'result[2] = -1.3134'); - assert((*result.at(3)).into() == -20523, 'result[3] = -0.3132'); + assert((*result[0]).into() == -86024, 'result[0] = -1.3134'); + assert((*result[1]).into() == -20523, 'result[1] = -0.3132'); + assert((*result[2]).into() == -86024, 'result[2] = -1.3134'); + assert((*result[3]).into() == -20523, 'result[3] = -0.3132'); } #[test] diff --git a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_u32_test.cairo b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_u32_test.cairo index 93949e54b..7b4f52f9a 100644 --- a/src/tests/operators/nn/functional/logsoftmax/logsoftmax_u32_test.cairo +++ b/src/tests/operators/nn/functional/logsoftmax/logsoftmax_u32_test.cairo @@ -108,10 +108,10 @@ mod input_2D { let mut result = NNTrait::logsoftmax(@tensor, 1).data; - assert((*result.at(0)).into() == -11016451, 'result[0] = -1.3134'); - assert((*result.at(1)).into() == -2627827, 'result[1] = -0.3132'); - assert((*result.at(2)).into() == -11016460, 'result[2] = -1.3134'); - assert((*result.at(3)).into() == -2627829, 'result[3] = -0.3132'); + assert((*result[0]).into() == -11016451, 'result[0] = -1.3134'); + assert((*result[1]).into() == -2627827, 'result[1] = -0.3132'); + assert((*result[2]).into() == -11016460, 'result[2] = -1.3134'); + assert((*result[3]).into() == -2627829, 'result[3] = -0.3132'); } #[test] @@ -152,10 +152,10 @@ mod input_2D { let mut result = NNTrait::logsoftmax(@tensor, 1).data; - assert((*result.at(0)).into() == -86024, 'result[0] = -1.3134'); - assert((*result.at(1)).into() == -20523, 'result[1] = -0.3132'); - assert((*result.at(2)).into() == -86024, 'result[2] = -1.3134'); - assert((*result.at(3)).into() == -20523, 'result[3] = -0.3132'); + assert((*result[0]).into() == -86024, 'result[0] = -1.3134'); + assert((*result[1]).into() == -20523, 'result[1] = -0.3132'); + assert((*result[2]).into() == -86024, 'result[2] = -1.3134'); + assert((*result[3]).into() == -20523, 'result[3] = -0.3132'); } #[test] diff --git a/src/tests/operators/nn/functional/relu/relu_i32_test.cairo b/src/tests/operators/nn/functional/relu/relu_i32_test.cairo index a9c67582c..c93d75bd7 100644 --- a/src/tests/operators/nn/functional/relu/relu_i32_test.cairo +++ b/src/tests/operators/nn/functional/relu/relu_i32_test.cairo @@ -36,9 +36,9 @@ mod input_1D { let mut result = NNTrait::relu(@tensor, threshold); - let data_0 = *result.data.at(0); - assert((*result.data.at(0)).into() == 1, 'result[0] == 1'); - assert((*result.data.at(3)).into() == 0, 'result[3] == 0'); + let data_0 = *result.data[0]; + assert((*result.data[0]).into() == 1, 'result[0] == 1'); + assert((*result.data[3]).into() == 0, 'result[3] == 0'); } } @@ -81,9 +81,9 @@ mod input_2D { let mut result = NNTrait::relu(@tensor, threshold); - let data_0 = *result.data.at(0); - assert((*result.data.at(0)).into() == 1, 'result[0] == 1'); - assert((*result.data.at(3)).into() == 0, 'result[3] == 0'); + let data_0 = *result.data[0]; + assert((*result.data[0]).into() == 1, 'result[0] == 1'); + assert((*result.data[3]).into() == 0, 'result[3] == 0'); } } @@ -135,9 +135,9 @@ mod input_3D { let mut result = NNTrait::relu(@tensor, threshold); - let data_0 = *result.data.at(0); - assert((*result.data.at(0)).into() == 1, 'result[0] == 1'); - assert((*result.data.at(3)).into() == 0, 'result[3] == 0'); - assert((*result.data.at(5)).into() == 2, 'result[6] == 2'); + let data_0 = *result.data[0]; + assert((*result.data[0]).into() == 1, 'result[0] == 1'); + assert((*result.data[3]).into() == 0, 'result[3] == 0'); + assert((*result.data[5]).into() == 2, 'result[6] == 2'); } } diff --git a/src/tests/operators/nn/functional/relu/relu_u32_test.cairo b/src/tests/operators/nn/functional/relu/relu_u32_test.cairo index 9f13bd17a..44c54d373 100644 --- a/src/tests/operators/nn/functional/relu/relu_u32_test.cairo +++ b/src/tests/operators/nn/functional/relu/relu_u32_test.cairo @@ -34,16 +34,16 @@ mod input_1D { let threshold = 3; let mut result = NNTrait::relu(@tensor, threshold); - let data_0 = *result.data.at(0); + let data_0 = *result.data[0]; assert(data_0 == 0, 'result[0] == 0'); - let data_1 = *result.data.at(1); + let data_1 = *result.data[1]; assert(data_1 == 0, 'result[1] == 0'); - let data_2 = *result.data.at(2); + let data_2 = *result.data[2]; assert(data_2 == 3, 'result[2] == 3'); - let data_3 = *result.data.at(3); + let data_3 = *result.data[3]; assert(data_3 == 4, 'result[3] == 4'); } } @@ -85,16 +85,16 @@ mod input_2D { let threshold = 3; let mut result = NNTrait::relu(@tensor, threshold); - let data_0 = *result.data.at(0); + let data_0 = *result.data[0]; assert(data_0 == 0, 'result[0] == 0'); - let data_1 = *result.data.at(1); + let data_1 = *result.data[1]; assert(data_1 == 0, 'result[1] == 0'); - let data_2 = *result.data.at(2); + let data_2 = *result.data[2]; assert(data_2 == 3, 'result[2] == 3'); - let data_3 = *result.data.at(3); + let data_3 = *result.data[3]; assert(data_3 == 4, 'result[3] == 4'); } } @@ -144,28 +144,28 @@ mod input_3D { let threshold = 3; let mut result = NNTrait::relu(@tensor, threshold); - let data_0 = *result.data.at(0); + let data_0 = *result.data[0]; assert(data_0 == 0, 'result[0] == 0'); - let data_1 = *result.data.at(1); + let data_1 = *result.data[1]; assert(data_1 == 0, 'result[1] == 0'); - let data_2 = *result.data.at(2); + let data_2 = *result.data[2]; assert(data_2 == 3, 'result[2] == 3'); - let data_3 = *result.data.at(3); + let data_3 = *result.data[3]; assert(data_3 == 4, 'result[3] == 4'); - let data_4 = *result.data.at(4); + let data_4 = *result.data[4]; assert(data_4 == 5, 'result[4] == 5'); - let data_5 = *result.data.at(5); + let data_5 = *result.data[5]; assert(data_5 == 6, 'result[5] == 6'); - let data_6 = *result.data.at(6); + let data_6 = *result.data[6]; assert(data_6 == 7, 'result[6] == 7'); - let data_7 = *result.data.at(7); + let data_7 = *result.data[7]; assert(data_7 == 8, 'result[7] == 8'); } } diff --git a/src/tests/operators/nn/functional/softmax/softmax_i32_test.cairo b/src/tests/operators/nn/functional/softmax/softmax_i32_test.cairo index 2a9306462..1d935c5dd 100644 --- a/src/tests/operators/nn/functional/softmax/softmax_i32_test.cairo +++ b/src/tests/operators/nn/functional/softmax/softmax_i32_test.cairo @@ -27,9 +27,9 @@ mod input_1D { let mut result = NNTrait::softmax(@tensor, 0).data; - assert((*result.at(0)).into() == 755231, 'result[0] = 0.09003057'); - assert((*result.at(1)).into() == 2052931, 'result[1] = 0.24472847'); - assert((*result.at(2)).into() == 5580445, 'result[2] = 0.66524096'); + assert((*result[0]).into() == 755231, 'result[0] = 0.09003057'); + assert((*result[1]).into() == 2052931, 'result[1] = 0.24472847'); + assert((*result[2]).into() == 5580445, 'result[2] = 0.66524096'); } } @@ -58,9 +58,9 @@ mod input_1D { let mut result = NNTrait::softmax(@tensor, 0).data; - assert((*result.at(0)).into() == 5900, 'result[0] = 0.09003057'); - assert((*result.at(1)).into() == 16038, 'result[1] = 0.24472847'); - assert((*result.at(2)).into() == 43596, 'result[2] = 0.66524096'); + assert((*result[0]).into() == 5900, 'result[0] = 0.09003057'); + assert((*result[1]).into() == 16038, 'result[1] = 0.24472847'); + assert((*result[2]).into() == 43596, 'result[2] = 0.66524096'); } } } @@ -91,17 +91,17 @@ mod input_2D { let mut result = NNTrait::softmax(@tensor, 0).data; - assert((*result.at(0)).into() == 999946, 'result[0] = 0.1192'); - assert((*result.at(1)).into() == 999946, 'result[1] = 0.1192'); - assert((*result.at(2)).into() == 7388661, 'result[2] = 0.8808'); - assert((*result.at(3)).into() == 7388661, 'result[3] = 0.8808'); + assert((*result[0]).into() == 999946, 'result[0] = 0.1192'); + assert((*result[1]).into() == 999946, 'result[1] = 0.1192'); + assert((*result[2]).into() == 7388661, 'result[2] = 0.8808'); + assert((*result[3]).into() == 7388661, 'result[3] = 0.8808'); let mut result = NNTrait::softmax(@tensor, 1).data; - assert((*result.at(0)).into() == 2256044, 'result[0] = 0.2689'); - assert((*result.at(1)).into() == 6132563, 'result[1] = 0.7311'); - assert((*result.at(2)).into() == 2256043, 'result[2] = 0.2689'); - assert((*result.at(3)).into() == 6132564, 'result[4] = 0.7311'); + assert((*result[0]).into() == 2256044, 'result[0] = 0.2689'); + assert((*result[1]).into() == 6132563, 'result[1] = 0.7311'); + assert((*result[2]).into() == 2256043, 'result[2] = 0.2689'); + assert((*result[3]).into() == 6132564, 'result[4] = 0.7311'); } } @@ -130,17 +130,17 @@ mod input_2D { let mut result = NNTrait::softmax(@tensor, 0).data; - assert((*result.at(0)).into() == 7812, 'result[0] = 0.1192'); - assert((*result.at(1)).into() == 7812, 'result[1] = 0.1192'); - assert((*result.at(2)).into() == 57723, 'result[2] = 0.8808'); - assert((*result.at(3)).into() == 57723, 'result[3] = 0.8808'); + assert((*result[0]).into() == 7812, 'result[0] = 0.1192'); + assert((*result[1]).into() == 7812, 'result[1] = 0.1192'); + assert((*result[2]).into() == 57723, 'result[2] = 0.8808'); + assert((*result[3]).into() == 57723, 'result[3] = 0.8808'); let mut result = NNTrait::softmax(@tensor, 1).data; - assert((*result.at(0)).into() == 17625, 'result[0] = 0.2689'); - assert((*result.at(1)).into() == 47910, 'result[1] = 0.7311'); - assert((*result.at(2)).into() == 17625, 'result[2] = 0.2689'); - assert((*result.at(3)).into() == 47910, 'result[4] = 0.7311'); + assert((*result[0]).into() == 17625, 'result[0] = 0.2689'); + assert((*result[1]).into() == 47910, 'result[1] = 0.7311'); + assert((*result[2]).into() == 17625, 'result[2] = 0.2689'); + assert((*result[3]).into() == 47910, 'result[4] = 0.7311'); } } } @@ -174,36 +174,36 @@ mod input_3D { let mut result = NNTrait::softmax(@tensor, 0).data; - assert((*result.at(0)).into() == 150879, 'result[0] = 0.01798621'); - assert((*result.at(1)).into() == 150879, 'result[1] = 0.01798621'); - assert((*result.at(2)).into() == 150879, 'result[2] = 0.01798621'); - assert((*result.at(3)).into() == 150879, 'result[3] = 0.01798621'); - assert((*result.at(4)).into() == 8237728, 'result[4] = 0.01798621'); - assert((*result.at(5)).into() == 8237728, 'result[5] = 0.01798621'); - assert((*result.at(6)).into() == 8237728, 'result[6] = 0.01798621'); - assert((*result.at(7)).into() == 8237728, 'result[7] = 0.01798621'); + assert((*result[0]).into() == 150879, 'result[0] = 0.01798621'); + assert((*result[1]).into() == 150879, 'result[1] = 0.01798621'); + assert((*result[2]).into() == 150879, 'result[2] = 0.01798621'); + assert((*result[3]).into() == 150879, 'result[3] = 0.01798621'); + assert((*result[4]).into() == 8237728, 'result[4] = 0.01798621'); + assert((*result[5]).into() == 8237728, 'result[5] = 0.01798621'); + assert((*result[6]).into() == 8237728, 'result[6] = 0.01798621'); + assert((*result[7]).into() == 8237728, 'result[7] = 0.01798621'); let mut result = NNTrait::softmax(@tensor, 1).data; - assert((*result.at(0)).into() == 999946, 'result[0] = 0.11920292'); - assert((*result.at(1)).into() == 999946, 'result[1] = 0.11920292'); - assert((*result.at(2)).into() == 7388661, 'result[2] = 0.88079708'); - assert((*result.at(3)).into() == 7388661, 'result[3] = 0.88079708'); - assert((*result.at(4)).into() == 999946, 'result[4] = 0.11920292'); - assert((*result.at(5)).into() == 999946, 'result[5] = 0.11920292'); - assert((*result.at(6)).into() == 7388661, 'result[6] = 0.88079708'); - assert((*result.at(7)).into() == 7388661, 'result[7] = 0.88079708'); + assert((*result[0]).into() == 999946, 'result[0] = 0.11920292'); + assert((*result[1]).into() == 999946, 'result[1] = 0.11920292'); + assert((*result[2]).into() == 7388661, 'result[2] = 0.88079708'); + assert((*result[3]).into() == 7388661, 'result[3] = 0.88079708'); + assert((*result[4]).into() == 999946, 'result[4] = 0.11920292'); + assert((*result[5]).into() == 999946, 'result[5] = 0.11920292'); + assert((*result[6]).into() == 7388661, 'result[6] = 0.88079708'); + assert((*result[7]).into() == 7388661, 'result[7] = 0.88079708'); let mut result = NNTrait::softmax(@tensor, 2).data; - assert((*result.at(0)).into() == 2256044, 'result[0] = 0.26894142'); - assert((*result.at(1)).into() == 6132563, 'result[1] = 0.73105858'); - assert((*result.at(2)).into() == 2256043, 'result[2] = 0.26894142'); - assert((*result.at(3)).into() == 6132564, 'result[3] = 0.73105858'); - assert((*result.at(4)).into() == 2256044, 'result[4] = 0.26894142'); - assert((*result.at(5)).into() == 6132563, 'result[5] = 0.73105858'); - assert((*result.at(6)).into() == 2256044, 'result[6] = 0.26894142'); - assert((*result.at(7)).into() == 6132563, 'result[7] = 0.73105858'); + assert((*result[0]).into() == 2256044, 'result[0] = 0.26894142'); + assert((*result[1]).into() == 6132563, 'result[1] = 0.73105858'); + assert((*result[2]).into() == 2256043, 'result[2] = 0.26894142'); + assert((*result[3]).into() == 6132564, 'result[3] = 0.73105858'); + assert((*result[4]).into() == 2256044, 'result[4] = 0.26894142'); + assert((*result[5]).into() == 6132563, 'result[5] = 0.73105858'); + assert((*result[6]).into() == 2256044, 'result[6] = 0.26894142'); + assert((*result[7]).into() == 6132563, 'result[7] = 0.73105858'); } } @@ -232,36 +232,36 @@ mod input_3D { let mut result = NNTrait::softmax(@tensor, 0).data; - assert((*result.at(0)).into() == 1178, 'result[0] = 0.01798621'); - assert((*result.at(1)).into() == 1178, 'result[1] = 0.01798621'); - assert((*result.at(2)).into() == 1178, 'result[2] = 0.01798621'); - assert((*result.at(3)).into() == 1178, 'result[3] = 0.01798621'); - assert((*result.at(4)).into() == 64357, 'result[4] = 0.01798621'); - assert((*result.at(5)).into() == 64357, 'result[5] = 0.01798621'); - assert((*result.at(6)).into() == 64357, 'result[6] = 0.01798621'); - assert((*result.at(7)).into() == 64357, 'result[7] = 0.01798621'); + assert((*result[0]).into() == 1178, 'result[0] = 0.01798621'); + assert((*result[1]).into() == 1178, 'result[1] = 0.01798621'); + assert((*result[2]).into() == 1178, 'result[2] = 0.01798621'); + assert((*result[3]).into() == 1178, 'result[3] = 0.01798621'); + assert((*result[4]).into() == 64357, 'result[4] = 0.01798621'); + assert((*result[5]).into() == 64357, 'result[5] = 0.01798621'); + assert((*result[6]).into() == 64357, 'result[6] = 0.01798621'); + assert((*result[7]).into() == 64357, 'result[7] = 0.01798621'); let mut result = NNTrait::softmax(@tensor, 1).data; - assert((*result.at(0)).into() == 7812, 'result[0] = 0.11920292'); - assert((*result.at(1)).into() == 7812, 'result[1] = 0.11920292'); - assert((*result.at(2)).into() == 57723, 'result[2] = 0.88079708'); - assert((*result.at(3)).into() == 57723, 'result[3] = 0.88079708'); - assert((*result.at(4)).into() == 7812, 'result[4] = 0.11920292'); - assert((*result.at(5)).into() == 7812, 'result[5] = 0.11920292'); - assert((*result.at(6)).into() == 57723, 'result[6] = 0.88079708'); - assert((*result.at(7)).into() == 57723, 'result[7] = 0.88079708'); + assert((*result[0]).into() == 7812, 'result[0] = 0.11920292'); + assert((*result[1]).into() == 7812, 'result[1] = 0.11920292'); + assert((*result[2]).into() == 57723, 'result[2] = 0.88079708'); + assert((*result[3]).into() == 57723, 'result[3] = 0.88079708'); + assert((*result[4]).into() == 7812, 'result[4] = 0.11920292'); + assert((*result[5]).into() == 7812, 'result[5] = 0.11920292'); + assert((*result[6]).into() == 57723, 'result[6] = 0.88079708'); + assert((*result[7]).into() == 57723, 'result[7] = 0.88079708'); let mut result = NNTrait::softmax(@tensor, 2).data; - assert((*result.at(0)).into() == 17625, 'result[0] = 0.26894142'); - assert((*result.at(1)).into() == 47910, 'result[1] = 0.73105858'); - assert((*result.at(2)).into() == 17625, 'result[2] = 0.26894142'); - assert((*result.at(3)).into() == 47910, 'result[3] = 0.73105858'); - assert((*result.at(4)).into() == 17625, 'result[4] = 0.26894142'); - assert((*result.at(5)).into() == 47910, 'result[5] = 0.73105858'); - assert((*result.at(6)).into() == 17625, 'result[6] = 0.26894142'); - assert((*result.at(7)).into() == 47910, 'result[7] = 0.73105858'); + assert((*result[0]).into() == 17625, 'result[0] = 0.26894142'); + assert((*result[1]).into() == 47910, 'result[1] = 0.73105858'); + assert((*result[2]).into() == 17625, 'result[2] = 0.26894142'); + assert((*result[3]).into() == 47910, 'result[3] = 0.73105858'); + assert((*result[4]).into() == 17625, 'result[4] = 0.26894142'); + assert((*result[5]).into() == 47910, 'result[5] = 0.73105858'); + assert((*result[6]).into() == 17625, 'result[6] = 0.26894142'); + assert((*result[7]).into() == 47910, 'result[7] = 0.73105858'); } } } diff --git a/src/tests/operators/nn/functional/softmax/softmax_u32_test.cairo b/src/tests/operators/nn/functional/softmax/softmax_u32_test.cairo index 39d9daeb2..f91ffa555 100644 --- a/src/tests/operators/nn/functional/softmax/softmax_u32_test.cairo +++ b/src/tests/operators/nn/functional/softmax/softmax_u32_test.cairo @@ -27,9 +27,9 @@ mod input_1D { let mut result = NNTrait::softmax(@tensor, 0).data; - assert((*result.at(0)).into() == 755231, 'result[0] = 0.09003057'); - assert((*result.at(1)).into() == 2052931, 'result[1] = 0.24472847'); - assert((*result.at(2)).into() == 5580445, 'result[2] = 0.66524096'); + assert((*result[0]).into() == 755231, 'result[0] = 0.09003057'); + assert((*result[1]).into() == 2052931, 'result[1] = 0.24472847'); + assert((*result[2]).into() == 5580445, 'result[2] = 0.66524096'); } } @@ -58,9 +58,9 @@ mod input_1D { let mut result = NNTrait::softmax(@tensor, 0).data; - assert((*result.at(0)).into() == 5900, 'result[0] = 0.09003057'); - assert((*result.at(1)).into() == 16038, 'result[1] = 0.24472847'); - assert((*result.at(2)).into() == 43596, 'result[2] = 0.66524096'); + assert((*result[0]).into() == 5900, 'result[0] = 0.09003057'); + assert((*result[1]).into() == 16038, 'result[1] = 0.24472847'); + assert((*result[2]).into() == 43596, 'result[2] = 0.66524096'); } } } @@ -91,17 +91,17 @@ mod input_2D { let mut result = NNTrait::softmax(@tensor, 0).data; - assert((*result.at(0)).into() == 999946, 'result[0] = 0.1192'); - assert((*result.at(1)).into() == 999946, 'result[1] = 0.1192'); - assert((*result.at(2)).into() == 7388661, 'result[2] = 0.8808'); - assert((*result.at(3)).into() == 7388661, 'result[3] = 0.8808'); + assert((*result[0]).into() == 999946, 'result[0] = 0.1192'); + assert((*result[1]).into() == 999946, 'result[1] = 0.1192'); + assert((*result[2]).into() == 7388661, 'result[2] = 0.8808'); + assert((*result[3]).into() == 7388661, 'result[3] = 0.8808'); let mut result = NNTrait::softmax(@tensor, 1).data; - assert((*result.at(0)).into() == 2256044, 'result[0] = 0.2689'); - assert((*result.at(1)).into() == 6132563, 'result[1] = 0.7311'); - assert((*result.at(2)).into() == 2256043, 'result[2] = 0.2689'); - assert((*result.at(3)).into() == 6132564, 'result[4] = 0.7311'); + assert((*result[0]).into() == 2256044, 'result[0] = 0.2689'); + assert((*result[1]).into() == 6132563, 'result[1] = 0.7311'); + assert((*result[2]).into() == 2256043, 'result[2] = 0.2689'); + assert((*result[3]).into() == 6132564, 'result[4] = 0.7311'); } } @@ -130,17 +130,17 @@ mod input_2D { let mut result = NNTrait::softmax(@tensor, 0).data; - assert((*result.at(0)).into() == 7812, 'result[0] = 0.1192'); - assert((*result.at(1)).into() == 7812, 'result[1] = 0.1192'); - assert((*result.at(2)).into() == 57723, 'result[2] = 0.8808'); - assert((*result.at(3)).into() == 57723, 'result[3] = 0.8808'); + assert((*result[0]).into() == 7812, 'result[0] = 0.1192'); + assert((*result[1]).into() == 7812, 'result[1] = 0.1192'); + assert((*result[2]).into() == 57723, 'result[2] = 0.8808'); + assert((*result[3]).into() == 57723, 'result[3] = 0.8808'); let mut result = NNTrait::softmax(@tensor, 1).data; - assert((*result.at(0)).into() == 17625, 'result[0] = 0.2689'); - assert((*result.at(1)).into() == 47910, 'result[1] = 0.7311'); - assert((*result.at(2)).into() == 17625, 'result[2] = 0.2689'); - assert((*result.at(3)).into() == 47910, 'result[4] = 0.7311'); + assert((*result[0]).into() == 17625, 'result[0] = 0.2689'); + assert((*result[1]).into() == 47910, 'result[1] = 0.7311'); + assert((*result[2]).into() == 17625, 'result[2] = 0.2689'); + assert((*result[3]).into() == 47910, 'result[4] = 0.7311'); } } } @@ -174,36 +174,36 @@ mod input_3D { let mut result = NNTrait::softmax(@tensor, 0).data; - assert((*result.at(0)).into() == 150879, 'result[0] = 0.01798621'); - assert((*result.at(1)).into() == 150879, 'result[1] = 0.01798621'); - assert((*result.at(2)).into() == 150879, 'result[2] = 0.01798621'); - assert((*result.at(3)).into() == 150879, 'result[3] = 0.01798621'); - assert((*result.at(4)).into() == 8237728, 'result[4] = 0.01798621'); - assert((*result.at(5)).into() == 8237728, 'result[5] = 0.01798621'); - assert((*result.at(6)).into() == 8237728, 'result[6] = 0.01798621'); - assert((*result.at(7)).into() == 8237728, 'result[7] = 0.01798621'); + assert((*result[0]).into() == 150879, 'result[0] = 0.01798621'); + assert((*result[1]).into() == 150879, 'result[1] = 0.01798621'); + assert((*result[2]).into() == 150879, 'result[2] = 0.01798621'); + assert((*result[3]).into() == 150879, 'result[3] = 0.01798621'); + assert((*result[4]).into() == 8237728, 'result[4] = 0.01798621'); + assert((*result[5]).into() == 8237728, 'result[5] = 0.01798621'); + assert((*result[6]).into() == 8237728, 'result[6] = 0.01798621'); + assert((*result[7]).into() == 8237728, 'result[7] = 0.01798621'); let mut result = NNTrait::softmax(@tensor, 1).data; - assert((*result.at(0)).into() == 999946, 'result[0] = 0.11920292'); - assert((*result.at(1)).into() == 999946, 'result[1] = 0.11920292'); - assert((*result.at(2)).into() == 7388661, 'result[2] = 0.88079708'); - assert((*result.at(3)).into() == 7388661, 'result[3] = 0.88079708'); - assert((*result.at(4)).into() == 999946, 'result[4] = 0.11920292'); - assert((*result.at(5)).into() == 999946, 'result[5] = 0.11920292'); - assert((*result.at(6)).into() == 7388661, 'result[6] = 0.88079708'); - assert((*result.at(7)).into() == 7388661, 'result[7] = 0.88079708'); + assert((*result[0]).into() == 999946, 'result[0] = 0.11920292'); + assert((*result[1]).into() == 999946, 'result[1] = 0.11920292'); + assert((*result[2]).into() == 7388661, 'result[2] = 0.88079708'); + assert((*result[3]).into() == 7388661, 'result[3] = 0.88079708'); + assert((*result[4]).into() == 999946, 'result[4] = 0.11920292'); + assert((*result[5]).into() == 999946, 'result[5] = 0.11920292'); + assert((*result[6]).into() == 7388661, 'result[6] = 0.88079708'); + assert((*result[7]).into() == 7388661, 'result[7] = 0.88079708'); let mut result = NNTrait::softmax(@tensor, 2).data; - assert((*result.at(0)).into() == 2256044, 'result[0] = 0.26894142'); - assert((*result.at(1)).into() == 6132563, 'result[1] = 0.73105858'); - assert((*result.at(2)).into() == 2256043, 'result[2] = 0.26894142'); - assert((*result.at(3)).into() == 6132564, 'result[3] = 0.73105858'); - assert((*result.at(4)).into() == 2256044, 'result[4] = 0.26894142'); - assert((*result.at(5)).into() == 6132563, 'result[5] = 0.73105858'); - assert((*result.at(6)).into() == 2256044, 'result[6] = 0.26894142'); - assert((*result.at(7)).into() == 6132563, 'result[7] = 0.73105858'); + assert((*result[0]).into() == 2256044, 'result[0] = 0.26894142'); + assert((*result[1]).into() == 6132563, 'result[1] = 0.73105858'); + assert((*result[2]).into() == 2256043, 'result[2] = 0.26894142'); + assert((*result[3]).into() == 6132564, 'result[3] = 0.73105858'); + assert((*result[4]).into() == 2256044, 'result[4] = 0.26894142'); + assert((*result[5]).into() == 6132563, 'result[5] = 0.73105858'); + assert((*result[6]).into() == 2256044, 'result[6] = 0.26894142'); + assert((*result[7]).into() == 6132563, 'result[7] = 0.73105858'); } } @@ -232,36 +232,36 @@ mod input_3D { let mut result = NNTrait::softmax(@tensor, 0).data; - assert((*result.at(0)).into() == 1178, 'result[0] = 0.01798621'); - assert((*result.at(1)).into() == 1178, 'result[1] = 0.01798621'); - assert((*result.at(2)).into() == 1178, 'result[2] = 0.01798621'); - assert((*result.at(3)).into() == 1178, 'result[3] = 0.01798621'); - assert((*result.at(4)).into() == 64357, 'result[4] = 0.01798621'); - assert((*result.at(5)).into() == 64357, 'result[5] = 0.01798621'); - assert((*result.at(6)).into() == 64357, 'result[6] = 0.01798621'); - assert((*result.at(7)).into() == 64357, 'result[7] = 0.01798621'); + assert((*result[0]).into() == 1178, 'result[0] = 0.01798621'); + assert((*result[1]).into() == 1178, 'result[1] = 0.01798621'); + assert((*result[2]).into() == 1178, 'result[2] = 0.01798621'); + assert((*result[3]).into() == 1178, 'result[3] = 0.01798621'); + assert((*result[4]).into() == 64357, 'result[4] = 0.01798621'); + assert((*result[5]).into() == 64357, 'result[5] = 0.01798621'); + assert((*result[6]).into() == 64357, 'result[6] = 0.01798621'); + assert((*result[7]).into() == 64357, 'result[7] = 0.01798621'); let mut result = NNTrait::softmax(@tensor, 1).data; - assert((*result.at(0)).into() == 7812, 'result[0] = 0.11920292'); - assert((*result.at(1)).into() == 7812, 'result[1] = 0.11920292'); - assert((*result.at(2)).into() == 57723, 'result[2] = 0.88079708'); - assert((*result.at(3)).into() == 57723, 'result[3] = 0.88079708'); - assert((*result.at(4)).into() == 7812, 'result[4] = 0.11920292'); - assert((*result.at(5)).into() == 7812, 'result[5] = 0.11920292'); - assert((*result.at(6)).into() == 57723, 'result[6] = 0.88079708'); - assert((*result.at(7)).into() == 57723, 'result[7] = 0.88079708'); + assert((*result[0]).into() == 7812, 'result[0] = 0.11920292'); + assert((*result[1]).into() == 7812, 'result[1] = 0.11920292'); + assert((*result[2]).into() == 57723, 'result[2] = 0.88079708'); + assert((*result[3]).into() == 57723, 'result[3] = 0.88079708'); + assert((*result[4]).into() == 7812, 'result[4] = 0.11920292'); + assert((*result[5]).into() == 7812, 'result[5] = 0.11920292'); + assert((*result[6]).into() == 57723, 'result[6] = 0.88079708'); + assert((*result[7]).into() == 57723, 'result[7] = 0.88079708'); let mut result = NNTrait::softmax(@tensor, 2).data; - assert((*result.at(0)).into() == 17625, 'result[0] = 0.26894142'); - assert((*result.at(1)).into() == 47910, 'result[1] = 0.73105858'); - assert((*result.at(2)).into() == 17625, 'result[2] = 0.26894142'); - assert((*result.at(3)).into() == 47910, 'result[3] = 0.73105858'); - assert((*result.at(4)).into() == 17625, 'result[4] = 0.26894142'); - assert((*result.at(5)).into() == 47910, 'result[5] = 0.73105858'); - assert((*result.at(6)).into() == 17625, 'result[6] = 0.26894142'); - assert((*result.at(7)).into() == 47910, 'result[7] = 0.73105858'); + assert((*result[0]).into() == 17625, 'result[0] = 0.26894142'); + assert((*result[1]).into() == 47910, 'result[1] = 0.73105858'); + assert((*result[2]).into() == 17625, 'result[2] = 0.26894142'); + assert((*result[3]).into() == 47910, 'result[3] = 0.73105858'); + assert((*result[4]).into() == 17625, 'result[4] = 0.26894142'); + assert((*result[5]).into() == 47910, 'result[5] = 0.73105858'); + assert((*result[6]).into() == 17625, 'result[6] = 0.26894142'); + assert((*result[7]).into() == 47910, 'result[7] = 0.73105858'); } } } diff --git a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo index 82f33ae41..1b04ec603 100644 --- a/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo +++ b/src/tests/operators/nn/functional/softplus/softplus_i32_test.cairo @@ -38,10 +38,10 @@ mod input_1D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softplus(@tensor); - assert((*result.data.at(0)).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 - assert((*result.data.at(1)).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 - assert((*result.data.at(2)).into() == 1064751, 'result[2] == 1064751'); // 0.12692797 - assert((*result.data.at(3)).into() == 407580, 'result[3] == 407580'); // 0.04858729 + assert((*result.data[0]).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 + assert((*result.data[1]).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 + assert((*result.data[2]).into() == 1064751, 'result[2] == 1064751'); // 0.12692797 + assert((*result.data[3]).into() == 407580, 'result[3] == 407580'); // 0.04858729 } } @@ -84,10 +84,10 @@ mod input_1D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softplus(@tensor); - assert((*result.data.at(0)).into() == 45355, 'result[0] == 45355'); // 0.6931452 - assert((*result.data.at(1)).into() == 86022, 'result[1] == 86022'); // 1.31326096 - assert((*result.data.at(2)).into() == 8315, 'result[2] == 8315'); // 0.12692797 - assert((*result.data.at(3)).into() == 3182, 'result[3] == 3182'); // 0.04858729 + assert((*result.data[0]).into() == 45355, 'result[0] == 45355'); // 0.6931452 + assert((*result.data[1]).into() == 86022, 'result[1] == 86022'); // 1.31326096 + assert((*result.data[2]).into() == 8315, 'result[2] == 8315'); // 0.12692797 + assert((*result.data[3]).into() == 3182, 'result[3] == 3182'); // 0.04858729 } } } @@ -133,10 +133,10 @@ mod input_2D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softplus(@tensor); - assert((*result.data.at(0)).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 - assert((*result.data.at(1)).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 - assert((*result.data.at(2)).into() == 1064751, 'result[2] == 1064751'); // 0.12692797 - assert((*result.data.at(3)).into() == 407580, 'result[3] == 407580'); // 0.04858729 + assert((*result.data[0]).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 + assert((*result.data[1]).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 + assert((*result.data[2]).into() == 1064751, 'result[2] == 1064751'); // 0.12692797 + assert((*result.data[3]).into() == 407580, 'result[3] == 407580'); // 0.04858729 } } @@ -180,10 +180,10 @@ mod input_2D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softplus(@tensor); - assert((*result.data.at(0)).into() == 45355, 'result[0] == 45355'); // 0.6931452 - assert((*result.data.at(1)).into() == 86022, 'result[1] == 86022'); // 1.31326096 - assert((*result.data.at(2)).into() == 8315, 'result[2] == 8315'); // 0.12692797 - assert((*result.data.at(3)).into() == 3182, 'result[3] == 3182'); // 0.04858729 + assert((*result.data[0]).into() == 45355, 'result[0] == 45355'); // 0.6931452 + assert((*result.data[1]).into() == 86022, 'result[1] == 86022'); // 1.31326096 + assert((*result.data[2]).into() == 8315, 'result[2] == 8315'); // 0.12692797 + assert((*result.data[3]).into() == 3182, 'result[3] == 3182'); // 0.04858729 } } } @@ -238,14 +238,14 @@ mod input_3D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softplus(@tensor); - assert((*result.data.at(0)).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 - assert((*result.data.at(1)).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 - assert((*result.data.at(2)).into() == 1064751, 'result[2] == 1064751'); // 0.12692797 - assert((*result.data.at(3)).into() == 407580, 'result[3] == 407580'); // 0.04858729 - assert((*result.data.at(4)).into() == 5814556, 'result[4] == 5814556'); // 0.6931452 - assert((*result.data.at(5)).into() == 11016447, 'result[5] == 11016447'); // 1.31326096 - assert((*result.data.at(6)).into() == 1064751, 'result[6] == 1064751'); // 0.12692797 - assert((*result.data.at(7)).into() == 407580, 'result[7] == 407580'); // 0.04858729 + assert((*result.data[0]).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 + assert((*result.data[1]).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 + assert((*result.data[2]).into() == 1064751, 'result[2] == 1064751'); // 0.12692797 + assert((*result.data[3]).into() == 407580, 'result[3] == 407580'); // 0.04858729 + assert((*result.data[4]).into() == 5814556, 'result[4] == 5814556'); // 0.6931452 + assert((*result.data[5]).into() == 11016447, 'result[5] == 11016447'); // 1.31326096 + assert((*result.data[6]).into() == 1064751, 'result[6] == 1064751'); // 0.12692797 + assert((*result.data[7]).into() == 407580, 'result[7] == 407580'); // 0.04858729 } } @@ -298,14 +298,14 @@ mod input_3D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softplus(@tensor); - assert((*result.data.at(0)).into() == 45355, 'result[0] == 45355'); // 0.6931452 - assert((*result.data.at(1)).into() == 86022, 'result[1] == 86022'); // 1.31326096 - assert((*result.data.at(2)).into() == 8315, 'result[2] == 8315'); // 0.12692797 - assert((*result.data.at(3)).into() == 3182, 'result[3] == 3182'); // 0.04858729 - assert((*result.data.at(4)).into() == 45355, 'result[4] == 45355'); // 0.6931452 - assert((*result.data.at(5)).into() == 86022, 'result[5] == 86022'); // 1.31326096 - assert((*result.data.at(6)).into() == 8315, 'result[6] == 8315'); // 0.12692797 - assert((*result.data.at(7)).into() == 3182, 'result[7] == 3182'); // 0.04858729 + assert((*result.data[0]).into() == 45355, 'result[0] == 45355'); // 0.6931452 + assert((*result.data[1]).into() == 86022, 'result[1] == 86022'); // 1.31326096 + assert((*result.data[2]).into() == 8315, 'result[2] == 8315'); // 0.12692797 + assert((*result.data[3]).into() == 3182, 'result[3] == 3182'); // 0.04858729 + assert((*result.data[4]).into() == 45355, 'result[4] == 45355'); // 0.6931452 + assert((*result.data[5]).into() == 86022, 'result[5] == 86022'); // 1.31326096 + assert((*result.data[6]).into() == 8315, 'result[6] == 8315'); // 0.12692797 + assert((*result.data[7]).into() == 3182, 'result[7] == 3182'); // 0.04858729 } } } diff --git a/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo b/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo index ac3c2c0f1..046297248 100644 --- a/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo +++ b/src/tests/operators/nn/functional/softplus/softplus_u32_test.cairo @@ -37,10 +37,10 @@ mod input_1D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softplus(@tensor); - assert((*result.data.at(0)).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 - assert((*result.data.at(1)).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 - assert((*result.data.at(2)).into() == 17841964, 'result[2] == 17841964'); // 2.1269 - assert((*result.data.at(3)).into() == 25573406, 'result[3] == 25573406'); // 3.0485875 + assert((*result.data[0]).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 + assert((*result.data[1]).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 + assert((*result.data[2]).into() == 17841964, 'result[2] == 17841964'); // 2.1269 + assert((*result.data[3]).into() == 25573406, 'result[3] == 25573406'); // 3.0485875 } } @@ -79,12 +79,12 @@ mod input_1D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softplus(@tensor); - assert((*result.data.at(0)).into() == 45355, 'result[0] == 45355'); // 0.6931452 - assert((*result.data.at(1)).into() == 86022, 'result[1] == 86022'); // 1.31326096 + assert((*result.data[0]).into() == 45355, 'result[0] == 45355'); // 0.6931452 + assert((*result.data[1]).into() == 86022, 'result[1] == 86022'); // 1.31326096 assert( - (*result.data.at(2)).into() == 139388, 'result[2] == 139388' + (*result.data[2]).into() == 139388, 'result[2] == 139388' ); // 2.12689208984375 - assert((*result.data.at(3)).into() == 199788, 'result[3] == 199788'); // 3.04852294 + assert((*result.data[3]).into() == 199788, 'result[3] == 199788'); // 3.04852294 } } } @@ -129,12 +129,12 @@ mod input_2D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softplus(@tensor); - assert((*result.data.at(0)).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 - assert((*result.data.at(1)).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 + assert((*result.data[0]).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 + assert((*result.data[1]).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 assert( - (*result.data.at(2)).into() == 17841964, 'result[2] == 17841964' + (*result.data[2]).into() == 17841964, 'result[2] == 17841964' ); // 2.12689208984375 - assert((*result.data.at(3)).into() == 25573406, 'result[3] == 25573406'); // 3.0485875 + assert((*result.data[3]).into() == 25573406, 'result[3] == 25573406'); // 3.0485875 } } @@ -174,12 +174,12 @@ mod input_2D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softplus(@tensor); - assert((*result.data.at(0)).into() == 45355, 'result[0] == 45355'); // 0.6931452 - assert((*result.data.at(1)).into() == 86022, 'result[1] == 86022'); // 1.31326096 + assert((*result.data[0]).into() == 45355, 'result[0] == 45355'); // 0.6931452 + assert((*result.data[1]).into() == 86022, 'result[1] == 86022'); // 1.31326096 assert( - (*result.data.at(2)).into() == 139388, 'result[2] == 139388' + (*result.data[2]).into() == 139388, 'result[2] == 139388' ); // 2.12689208984375 - assert((*result.data.at(3)).into() == 199788, 'result[3] == 199788'); // 3.04852294 + assert((*result.data[3]).into() == 199788, 'result[3] == 199788'); // 3.04852294 } } } @@ -233,16 +233,16 @@ mod input_3D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softplus(@tensor); - assert((*result.data.at(0)).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 - assert((*result.data.at(1)).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 + assert((*result.data[0]).into() == 5814556, 'result[0] == 5814556'); // 0.6931452 + assert((*result.data[1]).into() == 11016447, 'result[1] == 11016447'); // 1.31326096 assert( - (*result.data.at(2)).into() == 17841964, 'result[2] == 17841964' + (*result.data[2]).into() == 17841964, 'result[2] == 17841964' ); // 2.12689208984375 - assert((*result.data.at(3)).into() == 25573406, 'result[3] == 25573406'); // 3.0485875 - assert((*result.data.at(4)).into() == 5814556, 'result[4] == 5814556'); // 0.6931452 - assert((*result.data.at(5)).into() == 11016447, 'result[5] == 11016447'); // 1.31326096 - assert((*result.data.at(6)).into() == 17841964, 'result[6] == 17841964'); // 2.1269278 - assert((*result.data.at(7)).into() == 25573406, 'result[7] == 25573406'); // 3.0485875 + assert((*result.data[3]).into() == 25573406, 'result[3] == 25573406'); // 3.0485875 + assert((*result.data[4]).into() == 5814556, 'result[4] == 5814556'); // 0.6931452 + assert((*result.data[5]).into() == 11016447, 'result[5] == 11016447'); // 1.31326096 + assert((*result.data[6]).into() == 17841964, 'result[6] == 17841964'); // 2.1269278 + assert((*result.data[7]).into() == 25573406, 'result[7] == 25573406'); // 3.0485875 } } @@ -291,18 +291,18 @@ mod input_3D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softplus(@tensor); - assert((*result.data.at(0)).into() == 45355, 'result[0] == 45355'); // 0.6931452 - assert((*result.data.at(1)).into() == 86022, 'result[1] == 86022'); // 1.31326096 + assert((*result.data[0]).into() == 45355, 'result[0] == 45355'); // 0.6931452 + assert((*result.data[1]).into() == 86022, 'result[1] == 86022'); // 1.31326096 assert( - (*result.data.at(2)).into() == 139388, 'result[2] == 139388' + (*result.data[2]).into() == 139388, 'result[2] == 139388' ); // 2.12689208984375 - assert((*result.data.at(3)).into() == 199788, 'result[3] == 199788'); // 3.04852294 - assert((*result.data.at(4)).into() == 45355, 'result[4] == 45355'); // 0.6931452 - assert((*result.data.at(5)).into() == 86022, 'result[5] == 86022'); // 1.31326096 + assert((*result.data[3]).into() == 199788, 'result[3] == 199788'); // 3.04852294 + assert((*result.data[4]).into() == 45355, 'result[4] == 45355'); // 0.6931452 + assert((*result.data[5]).into() == 86022, 'result[5] == 86022'); // 1.31326096 assert( - (*result.data.at(6)).into() == 139388, 'result[6] == 139388' + (*result.data[6]).into() == 139388, 'result[6] == 139388' ); // 2.12689208984375 - assert((*result.data.at(7)).into() == 199788, 'result[7] == 199788'); // 3.04852294 + assert((*result.data[7]).into() == 199788, 'result[7] == 199788'); // 3.04852294 } } } diff --git a/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo b/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo index e19c1283d..dc85e4a87 100644 --- a/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo +++ b/src/tests/operators/nn/functional/softsign/softsign_i32_test.cairo @@ -39,10 +39,10 @@ mod input_1D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softsign(@tensor); - assert((*result.data.at(0)).into() == 0, 'result[0] == 0'); // 0 - assert((*result.data.at(1)).into() == 4194304, 'result[1] == 4194304'); // 0.5 - assert((*result.data.at(2)).into() == -5592405, 'result[2] == 5592405'); // -0.67 - assert((*result.data.at(3)).into() == -6291456, 'result[3] == 6291456'); // -0.75 + assert((*result.data[0]).into() == 0, 'result[0] == 0'); // 0 + assert((*result.data[1]).into() == 4194304, 'result[1] == 4194304'); // 0.5 + assert((*result.data[2]).into() == -5592405, 'result[2] == 5592405'); // -0.67 + assert((*result.data[3]).into() == -6291456, 'result[3] == 6291456'); // -0.75 } } @@ -82,10 +82,10 @@ mod input_1D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softsign(@tensor); - assert((*result.data.at(0)).into() == 0, 'result[0] == 0'); // 0 - assert((*result.data.at(1)).into() == 32768, 'result[1] == 32768'); // 0.5 - assert((*result.data.at(2)).into() == -43690, 'result[2] == 43690'); // -0.67 - assert((*result.data.at(3)).into() == -49152, 'result[3] == 49152'); // -0.75 + assert((*result.data[0]).into() == 0, 'result[0] == 0'); // 0 + assert((*result.data[1]).into() == 32768, 'result[1] == 32768'); // 0.5 + assert((*result.data[2]).into() == -43690, 'result[2] == 43690'); // -0.67 + assert((*result.data[3]).into() == -49152, 'result[3] == 49152'); // -0.75 } } } @@ -133,10 +133,10 @@ mod input_2D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softsign(@tensor); - assert((*result.data.at(0)).into() == 0, 'result[0] == 0'); // 0 - assert((*result.data.at(1)).into() == 4194304, 'result[1] == 4194304'); // 0.5 - assert((*result.data.at(2)).into() == -5592405, 'result[2] == 5592405'); // -0.67 - assert((*result.data.at(3)).into() == -6291456, 'result[3] == 6291456'); // -0.75 + assert((*result.data[0]).into() == 0, 'result[0] == 0'); // 0 + assert((*result.data[1]).into() == 4194304, 'result[1] == 4194304'); // 0.5 + assert((*result.data[2]).into() == -5592405, 'result[2] == 5592405'); // -0.67 + assert((*result.data[3]).into() == -6291456, 'result[3] == 6291456'); // -0.75 } } @@ -177,10 +177,10 @@ mod input_2D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softsign(@tensor); - assert((*result.data.at(0)).into() == 0, 'result[0] == 0'); // 0 - assert((*result.data.at(1)).into() == 32768, 'result[1] == 32768'); // 0.5 - assert((*result.data.at(2)).into() == -43690, 'result[2] == 43690'); // -0.67 - assert((*result.data.at(3)).into() == -49152, 'result[3] == 49152'); // -0.75 + assert((*result.data[0]).into() == 0, 'result[0] == 0'); // 0 + assert((*result.data[1]).into() == 32768, 'result[1] == 32768'); // 0.5 + assert((*result.data[2]).into() == -43690, 'result[2] == 43690'); // -0.67 + assert((*result.data[3]).into() == -49152, 'result[3] == 49152'); // -0.75 } } } @@ -236,14 +236,14 @@ mod input_3D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softsign(@tensor); - assert((*result.data.at(0)).into() == 0, 'result[0] == 0'); // 0 - assert((*result.data.at(1)).into() == 4194304, 'result[1] == 4194304'); // 0.5 - assert((*result.data.at(2)).into() == -5592405, 'result[2] == 5592405'); // -0.67 - assert((*result.data.at(3)).into() == -6291456, 'result[3] == 6291456'); // -0.75 - assert((*result.data.at(4)).into() == 0, 'result[4] == 0'); // 0 - assert((*result.data.at(5)).into() == 4194304, 'result[5] == 4194304'); // 0.5 - assert((*result.data.at(6)).into() == -5592405, 'result[6] == 5592405'); // -0.67 - assert((*result.data.at(7)).into() == -6291456, 'result[7] == 6291456'); // -0.75 + assert((*result.data[0]).into() == 0, 'result[0] == 0'); // 0 + assert((*result.data[1]).into() == 4194304, 'result[1] == 4194304'); // 0.5 + assert((*result.data[2]).into() == -5592405, 'result[2] == 5592405'); // -0.67 + assert((*result.data[3]).into() == -6291456, 'result[3] == 6291456'); // -0.75 + assert((*result.data[4]).into() == 0, 'result[4] == 0'); // 0 + assert((*result.data[5]).into() == 4194304, 'result[5] == 4194304'); // 0.5 + assert((*result.data[6]).into() == -5592405, 'result[6] == 5592405'); // -0.67 + assert((*result.data[7]).into() == -6291456, 'result[7] == 6291456'); // -0.75 } } @@ -293,14 +293,14 @@ mod input_3D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softsign(@tensor); - assert((*result.data.at(0)).into() == 0, 'result[0] == 0'); // 0 - assert((*result.data.at(1)).into() == 32768, 'result[1] == 32768'); // 0.5 - assert((*result.data.at(2)).into() == -43690, 'result[2] == 43690'); // -0.67 - assert((*result.data.at(3)).into() == -49152, 'result[3] == 49152'); // -0.75 - assert((*result.data.at(4)).into() == 0, 'result[4] == 0'); // 0 - assert((*result.data.at(5)).into() == 32768, 'result[5] == 32768'); // 0.5 - assert((*result.data.at(6)).into() == -43690, 'result[6] == 43690'); // -0.67 - assert((*result.data.at(7)).into() == -49152, 'result[7] == 49152'); // -0.75 + assert((*result.data[0]).into() == 0, 'result[0] == 0'); // 0 + assert((*result.data[1]).into() == 32768, 'result[1] == 32768'); // 0.5 + assert((*result.data[2]).into() == -43690, 'result[2] == 43690'); // -0.67 + assert((*result.data[3]).into() == -49152, 'result[3] == 49152'); // -0.75 + assert((*result.data[4]).into() == 0, 'result[4] == 0'); // 0 + assert((*result.data[5]).into() == 32768, 'result[5] == 32768'); // 0.5 + assert((*result.data[6]).into() == -43690, 'result[6] == 43690'); // -0.67 + assert((*result.data[7]).into() == -49152, 'result[7] == 49152'); // -0.75 } } } diff --git a/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo b/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo index 52c5ec550..2c2286516 100644 --- a/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo +++ b/src/tests/operators/nn/functional/softsign/softsign_u32_test.cairo @@ -41,16 +41,16 @@ mod input_1D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softsign(@tensor); - let data = *result.data.at(0); + let data = *result.data[0]; assert(data == FixedTrait::new(0, false), 'result[0] == 0'); // 0 - let data = *result.data.at(1); + let data = *result.data[1]; assert(data == FixedTrait::new(4194304, false), 'result[1] == 4194304'); // 0.5 - let data = *result.data.at(2); + let data = *result.data[2]; assert(data == FixedTrait::new(5592405, false), 'result[2] == 5592405'); // 0.67 - let data = *result.data.at(3); + let data = *result.data[3]; assert(data == FixedTrait::new(6291456, false), 'result[3] == 6291456'); // 0.75 } } @@ -96,16 +96,16 @@ mod input_1D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softsign(@tensor); - let data = *result.data.at(0); + let data = *result.data[0]; assert(data == FixedTrait::new(0, false), 'result[0] == 0'); // 0 - let data = *result.data.at(1); + let data = *result.data[1]; assert(data == FixedTrait::new(32768, false), 'result[1] == 32768'); // 0.5 - let data = *result.data.at(2); + let data = *result.data[2]; assert(data == FixedTrait::new(43690, false), 'result[2] == 43690'); // 0.67 - let data = *result.data.at(3); + let data = *result.data[3]; assert(data == FixedTrait::new(49152, false), 'result[3] == 49152'); // 0.75 } } @@ -155,16 +155,16 @@ mod input_2D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softsign(@tensor); - let data = *result.data.at(0); + let data = *result.data[0]; assert(data == FixedTrait::new(0, false), 'result[0] == 0'); // 0 - let data = *result.data.at(1); + let data = *result.data[1]; assert(data == FixedTrait::new(4194304, false), 'result[1] == 4194304'); // 0.5 - let data = *result.data.at(2); + let data = *result.data[2]; assert(data == FixedTrait::new(5592405, false), 'result[2] == 5592405'); // 0.67 - let data = *result.data.at(3); + let data = *result.data[3]; assert(data == FixedTrait::new(6291456, false), 'result[3] == 6291456'); // 0.75 } } @@ -210,16 +210,16 @@ mod input_2D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softsign(@tensor); - let data = *result.data.at(0); + let data = *result.data[0]; assert(data == FixedTrait::new(0, false), 'result[0] == 0'); // 0 - let data = *result.data.at(1); + let data = *result.data[1]; assert(data == FixedTrait::new(32768, false), 'result[1] == 32768'); // 0.5 - let data = *result.data.at(2); + let data = *result.data[2]; assert(data == FixedTrait::new(43690, false), 'result[2] == 43690'); // 0.67 - let data = *result.data.at(3); + let data = *result.data[3]; assert(data == FixedTrait::new(49152, false), 'result[3] == 49152'); // 0.75 } } @@ -278,28 +278,28 @@ mod input_3D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softsign(@tensor); - let data = *result.data.at(0); + let data = *result.data[0]; assert(data == FixedTrait::new(0, false), 'result[0] == 0'); // 0 - let data = *result.data.at(1); + let data = *result.data[1]; assert(data == FixedTrait::new(4194304, false), 'result[1] == 4194304'); // 0.5 - let data = *result.data.at(2); + let data = *result.data[2]; assert(data == FixedTrait::new(5592405, false), 'result[2] == 5592405'); // 0.67 - let data = *result.data.at(3); + let data = *result.data[3]; assert(data == FixedTrait::new(6291456, false), 'result[3] == 6291456'); // 0.75 - let data = *result.data.at(4); + let data = *result.data[4]; assert(data == FixedTrait::new(0, false), 'result[4] == 0'); // 0 - let data = *result.data.at(5); + let data = *result.data[5]; assert(data == FixedTrait::new(4194304, false), 'result[5] == 4194304'); // 0.5 - let data = *result.data.at(6); + let data = *result.data[6]; assert(data == FixedTrait::new(5592405, false), 'result[6] == 5592405'); // 0.67 - let data = *result.data.at(7); + let data = *result.data[7]; assert(data == FixedTrait::new(6291456, false), 'result[7] == 6291456'); // 0.75 } } @@ -354,28 +354,28 @@ mod input_3D { let mut tensor = TensorTrait::new(shape.span(), data.span(), Option::Some(extra)); let mut result = NNTrait::softsign(@tensor); - let data = *result.data.at(0); + let data = *result.data[0]; assert(data == FixedTrait::new(0, false), 'result[0] == 0'); // 0 - let data = *result.data.at(1); + let data = *result.data[1]; assert(data == FixedTrait::new(32768, false), 'result[1] == 32768'); // 0.5 - let data = *result.data.at(2); + let data = *result.data[2]; assert(data == FixedTrait::new(43690, false), 'result[2] == 43690'); // 0.67 - let data = *result.data.at(3); + let data = *result.data[3]; assert(data == FixedTrait::new(49152, false), 'result[3] == 49152'); // 0.75 - let data = *result.data.at(4); + let data = *result.data[4]; assert(data == FixedTrait::new(0, false), 'result[4] == 0'); // 0 - let data = *result.data.at(5); + let data = *result.data[5]; assert(data == FixedTrait::new(32768, false), 'result[5] == 32768'); // 0.5 - let data = *result.data.at(6); + let data = *result.data[6]; assert(data == FixedTrait::new(43690, false), 'result[6] == 43690'); // 0.67 - let data = *result.data.at(7); + let data = *result.data[7]; assert(data == FixedTrait::new(49152, false), 'result[7] == 49152'); // 0.75 } } diff --git a/src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp16x16_test.cairo b/src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp16x16_test.cairo index f1fec401e..e66691132 100644 --- a/src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp16x16_test.cairo +++ b/src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp16x16_test.cairo @@ -15,7 +15,7 @@ mod tensor_1D { fn tensor_stride() { let tensor = fp_tensor_1x3_helper(); let result = tensor.stride(); - assert(*result.at(0) == 1, 'stride x = 1'); + assert(*result[0] == 1, 'stride x = 1'); assert(result.len() == 1, 'len = 1'); } } @@ -37,8 +37,8 @@ mod tensor_2D { fn tensor_stride() { let tensor = fp_tensor_2x2_helper(); let result = tensor.stride(); - assert(*result.at(0) == 2, 'stride x = 2'); - assert(*result.at(1) == 1, 'stride y = 1'); + assert(*result[0] == 2, 'stride x = 2'); + assert(*result[1] == 1, 'stride y = 1'); assert(result.len() == 2, 'len = 2'); } } @@ -60,9 +60,9 @@ mod tensor_3D { fn tensor_stride() { let tensor = fp_tensor_2x2x2_helper(); let result = tensor.stride(); - assert(*result.at(0) == 4, 'stride x = 4'); - assert(*result.at(1) == 2, 'stride y = 2'); - assert(*result.at(2) == 1, 'stride z = 1'); + assert(*result[0] == 4, 'stride x = 4'); + assert(*result[1] == 2, 'stride y = 2'); + assert(*result[2] == 1, 'stride z = 1'); assert(result.len() == 3, 'len = 3'); } } diff --git a/src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp8x23_test.cairo b/src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp8x23_test.cairo index a7a7d670a..ad3a1fe44 100644 --- a/src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp8x23_test.cairo +++ b/src/tests/operators/tensor/core/stride/stride_fp_test/stride_fp8x23_test.cairo @@ -15,7 +15,7 @@ mod tensor_1D { fn tensor_stride() { let tensor = fp_tensor_1x3_helper(); let result = tensor.stride(); - assert(*result.at(0) == 1, 'stride x = 1'); + assert(*result[0] == 1, 'stride x = 1'); assert(result.len() == 1, 'len = 1'); } } @@ -37,8 +37,8 @@ mod tensor_2D { fn tensor_stride() { let tensor = fp_tensor_2x2_helper(); let result = tensor.stride(); - assert(*result.at(0) == 2, 'stride x = 2'); - assert(*result.at(1) == 1, 'stride y = 1'); + assert(*result[0] == 2, 'stride x = 2'); + assert(*result[1] == 1, 'stride y = 1'); assert(result.len() == 2, 'len = 2'); } } @@ -60,9 +60,9 @@ mod tensor_3D { fn tensor_stride() { let tensor = fp_tensor_2x2x2_helper(); let result = tensor.stride(); - assert(*result.at(0) == 4, 'stride x = 4'); - assert(*result.at(1) == 2, 'stride y = 2'); - assert(*result.at(2) == 1, 'stride z = 1'); + assert(*result[0] == 4, 'stride x = 4'); + assert(*result[1] == 2, 'stride y = 2'); + assert(*result[2] == 1, 'stride z = 1'); assert(result.len() == 3, 'len = 3'); } } diff --git a/src/tests/operators/tensor/core/stride/stride_i32_test.cairo b/src/tests/operators/tensor/core/stride/stride_i32_test.cairo index b9d7b4b6e..62c923ebd 100644 --- a/src/tests/operators/tensor/core/stride/stride_i32_test.cairo +++ b/src/tests/operators/tensor/core/stride/stride_i32_test.cairo @@ -15,7 +15,7 @@ mod tensor_1D { fn tensor_stride() { let tensor = i32_tensor_1x3_helper(); let result = tensor.stride(); - assert(*result.at(0) == 1, 'stride x = 1'); + assert(*result[0] == 1, 'stride x = 1'); assert(result.len() == 1, 'len = 1'); } } @@ -37,8 +37,8 @@ mod tensor_2D { fn tensor_at() { let tensor = i32_tensor_2x2_helper(); let result = tensor.stride(); - assert(*result.at(0) == 2, 'stride x = 2'); - assert(*result.at(1) == 1, 'stride y = 1'); + assert(*result[0] == 2, 'stride x = 2'); + assert(*result[1] == 1, 'stride y = 1'); assert(result.len() == 2, 'len = 2'); } } @@ -60,9 +60,9 @@ mod tensor_3D { fn tensor_at() { let tensor = i32_tensor_2x2x2_helper(); let result = tensor.stride(); - assert(*result.at(0) == 4, 'stride x = 4'); - assert(*result.at(1) == 2, 'stride y = 2'); - assert(*result.at(2) == 1, 'stride z = 1'); + assert(*result[0] == 4, 'stride x = 4'); + assert(*result[1] == 2, 'stride y = 2'); + assert(*result[2] == 1, 'stride z = 1'); assert(result.len() == 3, 'len = 3'); } } diff --git a/src/tests/operators/tensor/core/stride/stride_u32_test.cairo b/src/tests/operators/tensor/core/stride/stride_u32_test.cairo index 5fb0607ba..7dffbc763 100644 --- a/src/tests/operators/tensor/core/stride/stride_u32_test.cairo +++ b/src/tests/operators/tensor/core/stride/stride_u32_test.cairo @@ -15,7 +15,7 @@ mod tensor_1D { fn tensor_stride() { let tensor = u32_tensor_1x3_helper(); let result = tensor.stride(); - assert(*result.at(0) == 1, 'stride x = 1'); + assert(*result[0] == 1, 'stride x = 1'); assert(result.len() == 1, 'len = 1'); } } @@ -37,8 +37,8 @@ mod tensor_2D { fn tensor_at() { let tensor = u32_tensor_2x2_helper(); let result = tensor.stride(); - assert(*result.at(0) == 2, 'stride x = 2'); - assert(*result.at(1) == 1, 'stride y = 1'); + assert(*result[0] == 2, 'stride x = 2'); + assert(*result[1] == 1, 'stride y = 1'); assert(result.len() == 2, 'len = 2'); } } @@ -60,9 +60,9 @@ mod tensor_3D { fn tensor_at() { let tensor = u32_tensor_2x2x2_helper(); let result = tensor.stride(); - assert(*result.at(0) == 4, 'stride x = 4'); - assert(*result.at(1) == 2, 'stride y = 2'); - assert(*result.at(2) == 1, 'stride z = 1'); + assert(*result[0] == 4, 'stride x = 4'); + assert(*result[1] == 2, 'stride y = 2'); + assert(*result[2] == 1, 'stride z = 1'); assert(result.len() == 3, 'len = 3'); } } diff --git a/src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp16x16_test.cairo b/src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp16x16_test.cairo index 8b5dd219d..efc34e156 100644 --- a/src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp16x16_test.cairo +++ b/src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp16x16_test.cairo @@ -49,38 +49,38 @@ mod tensor_2D { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.data[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.shape[0] == 2, 'shape[0] = 2'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); let tensor = fp_tensor_3x2_helper(); let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(3, false), 'result[4] = 3'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 3, 'shape[1] = 3'); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.data[2] == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result.data[3] == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + assert(*result.data[4] == FixedTrait::new_unscaled(3, false), 'result[4] = 3'); + assert(*result.data[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.shape[0] == 2, 'shape[0] = 2'); + assert(*result.shape[1] == 3, 'shape[1] = 3'); let tensor = fp_tensor_2x3_helper(); let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(3, false), 'result[1] = 3'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(2, false), 'result[4] = 2'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); - assert(*result.shape.at(0) == 3, 'shape[0] = 3'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(3, false), 'result[1] = 3'); + assert(*result.data[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.data[3] == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + assert(*result.data[4] == FixedTrait::new_unscaled(2, false), 'result[4] = 2'); + assert(*result.data[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.shape[0] == 3, 'shape[0] = 3'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); } } @@ -112,14 +112,14 @@ mod tensor_3D { let result = tensor.transpose(axes.span()).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); - assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.at(3) == FixedTrait::new_unscaled(5, false), 'result[3] = 5'); - assert(*result.at(4) == FixedTrait::new_unscaled(2, false), 'result[4] = 2'); - assert(*result.at(5) == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); - assert(*result.at(6) == FixedTrait::new_unscaled(3, false), 'result[6] = 3'); - assert(*result.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result[3] == FixedTrait::new_unscaled(5, false), 'result[3] = 5'); + assert(*result[4] == FixedTrait::new_unscaled(2, false), 'result[4] = 2'); + assert(*result[5] == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); + assert(*result[6] == FixedTrait::new_unscaled(3, false), 'result[6] = 3'); + assert(*result[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); let mut axes: Array = ArrayTrait::new(); axes.append(2); @@ -128,14 +128,14 @@ mod tensor_3D { let result = tensor.transpose(axes.span()).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); - assert(*result.at(2) == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); - assert(*result.at(3) == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); - assert(*result.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); - assert(*result.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); - assert(*result.at(6) == FixedTrait::new_unscaled(3, false), 'result[6] = 3'); - assert(*result.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result[3] == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); + assert(*result[4] == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result[6] == FixedTrait::new_unscaled(3, false), 'result[6] = 3'); + assert(*result[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); let mut axes: Array = ArrayTrait::new(); axes.append(0); @@ -144,14 +144,14 @@ mod tensor_3D { let result = tensor.transpose(axes.span()).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.at(3) == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); - assert(*result.at(4) == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); - assert(*result.at(5) == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); - assert(*result.at(6) == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); - assert(*result.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result[5] == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); + assert(*result[6] == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); + assert(*result[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); let tensor = fp_tensor_3x2x2_helper(); @@ -162,21 +162,21 @@ mod tensor_3D { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(5, false), 'result[4] = 5'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(9, false), 'result[5] = 9'); - assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); - assert(*result.data.at(7) == FixedTrait::new_unscaled(6, false), 'result[7] = 6'); - assert(*result.data.at(8) == FixedTrait::new_unscaled(10, false), 'result[8] = 10'); - assert(*result.data.at(9) == FixedTrait::new_unscaled(3, false), 'result[9] = 3'); - assert(*result.data.at(10) == FixedTrait::new_unscaled(7, false), 'result[10] = 7'); - assert(*result.data.at(11) == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); - assert(*result.shape.at(2) == 3, 'shape[2] = 3'); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result.data[2] == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); + assert(*result.data[3] == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + assert(*result.data[4] == FixedTrait::new_unscaled(5, false), 'result[4] = 5'); + assert(*result.data[5] == FixedTrait::new_unscaled(9, false), 'result[5] = 9'); + assert(*result.data[6] == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); + assert(*result.data[7] == FixedTrait::new_unscaled(6, false), 'result[7] = 6'); + assert(*result.data[8] == FixedTrait::new_unscaled(10, false), 'result[8] = 10'); + assert(*result.data[9] == FixedTrait::new_unscaled(3, false), 'result[9] = 3'); + assert(*result.data[10] == FixedTrait::new_unscaled(7, false), 'result[10] = 7'); + assert(*result.data[11] == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); + assert(*result.shape[0] == 2, 'shape[0] = 2'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); + assert(*result.shape[2] == 3, 'shape[2] = 3'); let mut axes: Array = ArrayTrait::new(); axes.append(2); @@ -185,21 +185,21 @@ mod tensor_3D { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(6, false), 'result[4] = 6'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(10, false), 'result[5] = 10'); - assert(*result.data.at(6) == FixedTrait::new_unscaled(1, false), 'result[6] = 1'); - assert(*result.data.at(7) == FixedTrait::new_unscaled(5, false), 'result[7] = 5'); - assert(*result.data.at(8) == FixedTrait::new_unscaled(9, false), 'result[8] = 9'); - assert(*result.data.at(9) == FixedTrait::new_unscaled(3, false), 'result[9] = 3'); - assert(*result.data.at(10) == FixedTrait::new_unscaled(7, false), 'result[10] = 7'); - assert(*result.data.at(11) == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); - assert(*result.shape.at(2) == 3, 'shape[2] = 3'); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result.data[2] == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); + assert(*result.data[3] == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + assert(*result.data[4] == FixedTrait::new_unscaled(6, false), 'result[4] = 6'); + assert(*result.data[5] == FixedTrait::new_unscaled(10, false), 'result[5] = 10'); + assert(*result.data[6] == FixedTrait::new_unscaled(1, false), 'result[6] = 1'); + assert(*result.data[7] == FixedTrait::new_unscaled(5, false), 'result[7] = 5'); + assert(*result.data[8] == FixedTrait::new_unscaled(9, false), 'result[8] = 9'); + assert(*result.data[9] == FixedTrait::new_unscaled(3, false), 'result[9] = 3'); + assert(*result.data[10] == FixedTrait::new_unscaled(7, false), 'result[10] = 7'); + assert(*result.data[11] == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); + assert(*result.shape[0] == 2, 'shape[0] = 2'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); + assert(*result.shape[2] == 3, 'shape[2] = 3'); let mut axes: Array = ArrayTrait::new(); axes.append(0); @@ -208,20 +208,20 @@ mod tensor_3D { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); - assert(*result.data.at(6) == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); - assert(*result.data.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); - assert(*result.data.at(8) == FixedTrait::new_unscaled(8, false), 'result[8] = 8'); - assert(*result.data.at(9) == FixedTrait::new_unscaled(10, false), 'result[9] = 10'); - assert(*result.data.at(10) == FixedTrait::new_unscaled(9, false), 'result[10] = 9'); - assert(*result.data.at(11) == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); - assert(*result.shape.at(0) == 3, 'shape[0] = 3'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); - assert(*result.shape.at(2) == 2, 'shape[2] = 2'); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.data[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.data[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result.data[5] == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); + assert(*result.data[6] == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); + assert(*result.data[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + assert(*result.data[8] == FixedTrait::new_unscaled(8, false), 'result[8] = 8'); + assert(*result.data[9] == FixedTrait::new_unscaled(10, false), 'result[9] = 10'); + assert(*result.data[10] == FixedTrait::new_unscaled(9, false), 'result[10] = 9'); + assert(*result.data[11] == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); + assert(*result.shape[0] == 3, 'shape[0] = 3'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); + assert(*result.shape[2] == 2, 'shape[2] = 2'); } } diff --git a/src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp8x23_test.cairo b/src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp8x23_test.cairo index a160f7020..118dae6f0 100644 --- a/src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp8x23_test.cairo +++ b/src/tests/operators/tensor/core/transpose/transpose_fp_test/transpose_fp8x23_test.cairo @@ -49,38 +49,38 @@ mod tensor_2D { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.data[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.shape[0] == 2, 'shape[0] = 2'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); let tensor = fp_tensor_3x2_helper(); let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(3, false), 'result[4] = 3'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 3, 'shape[1] = 3'); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.data[2] == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result.data[3] == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + assert(*result.data[4] == FixedTrait::new_unscaled(3, false), 'result[4] = 3'); + assert(*result.data[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.shape[0] == 2, 'shape[0] = 2'); + assert(*result.shape[1] == 3, 'shape[1] = 3'); let tensor = fp_tensor_2x3_helper(); let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(3, false), 'result[1] = 3'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(2, false), 'result[4] = 2'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); - assert(*result.shape.at(0) == 3, 'shape[0] = 3'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(3, false), 'result[1] = 3'); + assert(*result.data[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.data[3] == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + assert(*result.data[4] == FixedTrait::new_unscaled(2, false), 'result[4] = 2'); + assert(*result.data[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result.shape[0] == 3, 'shape[0] = 3'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); } } @@ -112,14 +112,14 @@ mod tensor_3D { let result = tensor.transpose(axes.span()).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); - assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.at(3) == FixedTrait::new_unscaled(5, false), 'result[3] = 5'); - assert(*result.at(4) == FixedTrait::new_unscaled(2, false), 'result[4] = 2'); - assert(*result.at(5) == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); - assert(*result.at(6) == FixedTrait::new_unscaled(3, false), 'result[6] = 3'); - assert(*result.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result[3] == FixedTrait::new_unscaled(5, false), 'result[3] = 5'); + assert(*result[4] == FixedTrait::new_unscaled(2, false), 'result[4] = 2'); + assert(*result[5] == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); + assert(*result[6] == FixedTrait::new_unscaled(3, false), 'result[6] = 3'); + assert(*result[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); let mut axes: Array = ArrayTrait::new(); axes.append(2); @@ -128,14 +128,14 @@ mod tensor_3D { let result = tensor.transpose(axes.span()).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); - assert(*result.at(2) == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); - assert(*result.at(3) == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); - assert(*result.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); - assert(*result.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); - assert(*result.at(6) == FixedTrait::new_unscaled(3, false), 'result[6] = 3'); - assert(*result.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result[3] == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); + assert(*result[4] == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result[6] == FixedTrait::new_unscaled(3, false), 'result[6] = 3'); + assert(*result[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); let mut axes: Array = ArrayTrait::new(); axes.append(0); @@ -144,14 +144,14 @@ mod tensor_3D { let result = tensor.transpose(axes.span()).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.at(3) == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); - assert(*result.at(4) == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); - assert(*result.at(5) == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); - assert(*result.at(6) == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); - assert(*result.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result[5] == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); + assert(*result[6] == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); + assert(*result[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); let tensor = fp_tensor_3x2x2_helper(); @@ -162,21 +162,21 @@ mod tensor_3D { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(5, false), 'result[4] = 5'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(9, false), 'result[5] = 9'); - assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); - assert(*result.data.at(7) == FixedTrait::new_unscaled(6, false), 'result[7] = 6'); - assert(*result.data.at(8) == FixedTrait::new_unscaled(10, false), 'result[8] = 10'); - assert(*result.data.at(9) == FixedTrait::new_unscaled(3, false), 'result[9] = 3'); - assert(*result.data.at(10) == FixedTrait::new_unscaled(7, false), 'result[10] = 7'); - assert(*result.data.at(11) == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); - assert(*result.shape.at(2) == 3, 'shape[2] = 3'); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result.data[2] == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); + assert(*result.data[3] == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + assert(*result.data[4] == FixedTrait::new_unscaled(5, false), 'result[4] = 5'); + assert(*result.data[5] == FixedTrait::new_unscaled(9, false), 'result[5] = 9'); + assert(*result.data[6] == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); + assert(*result.data[7] == FixedTrait::new_unscaled(6, false), 'result[7] = 6'); + assert(*result.data[8] == FixedTrait::new_unscaled(10, false), 'result[8] = 10'); + assert(*result.data[9] == FixedTrait::new_unscaled(3, false), 'result[9] = 3'); + assert(*result.data[10] == FixedTrait::new_unscaled(7, false), 'result[10] = 7'); + assert(*result.data[11] == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); + assert(*result.shape[0] == 2, 'shape[0] = 2'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); + assert(*result.shape[2] == 3, 'shape[2] = 3'); let mut axes: Array = ArrayTrait::new(); axes.append(2); @@ -185,21 +185,21 @@ mod tensor_3D { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(6, false), 'result[4] = 6'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(10, false), 'result[5] = 10'); - assert(*result.data.at(6) == FixedTrait::new_unscaled(1, false), 'result[6] = 1'); - assert(*result.data.at(7) == FixedTrait::new_unscaled(5, false), 'result[7] = 5'); - assert(*result.data.at(8) == FixedTrait::new_unscaled(9, false), 'result[8] = 9'); - assert(*result.data.at(9) == FixedTrait::new_unscaled(3, false), 'result[9] = 3'); - assert(*result.data.at(10) == FixedTrait::new_unscaled(7, false), 'result[10] = 7'); - assert(*result.data.at(11) == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); - assert(*result.shape.at(2) == 3, 'shape[2] = 3'); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(4, false), 'result[1] = 4'); + assert(*result.data[2] == FixedTrait::new_unscaled(8, false), 'result[2] = 8'); + assert(*result.data[3] == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + assert(*result.data[4] == FixedTrait::new_unscaled(6, false), 'result[4] = 6'); + assert(*result.data[5] == FixedTrait::new_unscaled(10, false), 'result[5] = 10'); + assert(*result.data[6] == FixedTrait::new_unscaled(1, false), 'result[6] = 1'); + assert(*result.data[7] == FixedTrait::new_unscaled(5, false), 'result[7] = 5'); + assert(*result.data[8] == FixedTrait::new_unscaled(9, false), 'result[8] = 9'); + assert(*result.data[9] == FixedTrait::new_unscaled(3, false), 'result[9] = 3'); + assert(*result.data[10] == FixedTrait::new_unscaled(7, false), 'result[10] = 7'); + assert(*result.data[11] == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); + assert(*result.shape[0] == 2, 'shape[0] = 2'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); + assert(*result.shape[2] == 3, 'shape[2] = 3'); let mut axes: Array = ArrayTrait::new(); axes.append(0); @@ -208,20 +208,20 @@ mod tensor_3D { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); - assert(*result.data.at(6) == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); - assert(*result.data.at(7) == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); - assert(*result.data.at(8) == FixedTrait::new_unscaled(8, false), 'result[8] = 8'); - assert(*result.data.at(9) == FixedTrait::new_unscaled(10, false), 'result[9] = 10'); - assert(*result.data.at(10) == FixedTrait::new_unscaled(9, false), 'result[10] = 9'); - assert(*result.data.at(11) == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); - assert(*result.shape.at(0) == 3, 'shape[0] = 3'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); - assert(*result.shape.at(2) == 2, 'shape[2] = 2'); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result.data[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result.data[3] == FixedTrait::new_unscaled(3, false), 'result[3] = 3'); + assert(*result.data[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result.data[5] == FixedTrait::new_unscaled(6, false), 'result[5] = 6'); + assert(*result.data[6] == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); + assert(*result.data[7] == FixedTrait::new_unscaled(7, false), 'result[7] = 7'); + assert(*result.data[8] == FixedTrait::new_unscaled(8, false), 'result[8] = 8'); + assert(*result.data[9] == FixedTrait::new_unscaled(10, false), 'result[9] = 10'); + assert(*result.data[10] == FixedTrait::new_unscaled(9, false), 'result[10] = 9'); + assert(*result.data[11] == FixedTrait::new_unscaled(11, false), 'result[11] = 11'); + assert(*result.shape[0] == 3, 'shape[0] = 3'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); + assert(*result.shape[2] == 2, 'shape[2] = 2'); } } diff --git a/src/tests/operators/tensor/core/transpose/transpose_u32_test.cairo b/src/tests/operators/tensor/core/transpose/transpose_u32_test.cairo index 902c0f5c0..eb2872258 100644 --- a/src/tests/operators/tensor/core/transpose/transpose_u32_test.cairo +++ b/src/tests/operators/tensor/core/transpose/transpose_u32_test.cairo @@ -48,38 +48,38 @@ mod tensor_2D { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 2, 'result[1] = 2'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 3, 'result[3] = 3'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 2, 'result[1] = 2'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 3, 'result[3] = 3'); + assert(*result.shape[0] == 2, 'shape[0] = 2'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); let tensor = u32_tensor_3x2_helper(); let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 2, 'result[1] = 2'); - assert(*result.data.at(2) == 4, 'result[2] = 4'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); - assert(*result.data.at(4) == 3, 'result[4] = 3'); - assert(*result.data.at(5) == 5, 'result[5] = 5'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 3, 'shape[1] = 3'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 2, 'result[1] = 2'); + assert(*result.data[2] == 4, 'result[2] = 4'); + assert(*result.data[3] == 1, 'result[3] = 1'); + assert(*result.data[4] == 3, 'result[4] = 3'); + assert(*result.data[5] == 5, 'result[5] = 5'); + assert(*result.shape[0] == 2, 'shape[0] = 2'); + assert(*result.shape[1] == 3, 'shape[1] = 3'); let tensor = u32_tensor_2x3_helper(); let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 3, 'result[1] = 3'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 4, 'result[3] = 4'); - assert(*result.data.at(4) == 2, 'result[4] = 2'); - assert(*result.data.at(5) == 5, 'result[5] = 5'); - assert(*result.shape.at(0) == 3, 'shape[0] = 3'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 3, 'result[1] = 3'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 4, 'result[3] = 4'); + assert(*result.data[4] == 2, 'result[4] = 2'); + assert(*result.data[5] == 5, 'result[5] = 5'); + assert(*result.shape[0] == 3, 'shape[0] = 3'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); } } @@ -108,14 +108,14 @@ mod tensor_3D { let result = tensor.transpose(axes.span()).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 4, 'result[1] = 4'); - assert(*result.at(2) == 1, 'result[2] = 1'); - assert(*result.at(3) == 5, 'result[3] = 5'); - assert(*result.at(4) == 2, 'result[4] = 2'); - assert(*result.at(5) == 6, 'result[5] = 6'); - assert(*result.at(6) == 3, 'result[6] = 3'); - assert(*result.at(7) == 7, 'result[7] = 7'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 4, 'result[1] = 4'); + assert(*result[2] == 1, 'result[2] = 1'); + assert(*result[3] == 5, 'result[3] = 5'); + assert(*result[4] == 2, 'result[4] = 2'); + assert(*result[5] == 6, 'result[5] = 6'); + assert(*result[6] == 3, 'result[6] = 3'); + assert(*result[7] == 7, 'result[7] = 7'); let mut axes: Array = ArrayTrait::new(); axes.append(2); @@ -124,14 +124,14 @@ mod tensor_3D { let result = tensor.transpose(axes.span()).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 4, 'result[1] = 4'); - assert(*result.at(2) == 2, 'result[2] = 2'); - assert(*result.at(3) == 6, 'result[3] = 6'); - assert(*result.at(4) == 1, 'result[4] = 1'); - assert(*result.at(5) == 5, 'result[5] = 5'); - assert(*result.at(6) == 3, 'result[6] = 3'); - assert(*result.at(7) == 7, 'result[7] = 7'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 4, 'result[1] = 4'); + assert(*result[2] == 2, 'result[2] = 2'); + assert(*result[3] == 6, 'result[3] = 6'); + assert(*result[4] == 1, 'result[4] = 1'); + assert(*result[5] == 5, 'result[5] = 5'); + assert(*result[6] == 3, 'result[6] = 3'); + assert(*result[7] == 7, 'result[7] = 7'); let mut axes: Array = ArrayTrait::new(); axes.append(0); @@ -140,14 +140,14 @@ mod tensor_3D { let result = tensor.transpose(axes.span()).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 2, 'result[1] = 2'); - assert(*result.at(2) == 1, 'result[2] = 1'); - assert(*result.at(3) == 3, 'result[3] = 3'); - assert(*result.at(4) == 4, 'result[4] = 4'); - assert(*result.at(5) == 6, 'result[5] = 6'); - assert(*result.at(6) == 5, 'result[6] = 5'); - assert(*result.at(7) == 7, 'result[7] = 7'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 2, 'result[1] = 2'); + assert(*result[2] == 1, 'result[2] = 1'); + assert(*result[3] == 3, 'result[3] = 3'); + assert(*result[4] == 4, 'result[4] = 4'); + assert(*result[5] == 6, 'result[5] = 6'); + assert(*result[6] == 5, 'result[6] = 5'); + assert(*result[7] == 7, 'result[7] = 7'); let tensor = u32_tensor_3x2x2_helper(); @@ -158,21 +158,21 @@ mod tensor_3D { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 4, 'result[1] = 4'); - assert(*result.data.at(2) == 8, 'result[2] = 8'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); - assert(*result.data.at(4) == 5, 'result[4] = 5'); - assert(*result.data.at(5) == 9, 'result[5] = 9'); - assert(*result.data.at(6) == 2, 'result[6] = 2'); - assert(*result.data.at(7) == 6, 'result[7] = 6'); - assert(*result.data.at(8) == 10, 'result[8] = 10'); - assert(*result.data.at(9) == 3, 'result[9] = 3'); - assert(*result.data.at(10) == 7, 'result[10] = 7'); - assert(*result.data.at(11) == 11, 'result[11] = 11'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); - assert(*result.shape.at(2) == 3, 'shape[2] = 3'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 4, 'result[1] = 4'); + assert(*result.data[2] == 8, 'result[2] = 8'); + assert(*result.data[3] == 1, 'result[3] = 1'); + assert(*result.data[4] == 5, 'result[4] = 5'); + assert(*result.data[5] == 9, 'result[5] = 9'); + assert(*result.data[6] == 2, 'result[6] = 2'); + assert(*result.data[7] == 6, 'result[7] = 6'); + assert(*result.data[8] == 10, 'result[8] = 10'); + assert(*result.data[9] == 3, 'result[9] = 3'); + assert(*result.data[10] == 7, 'result[10] = 7'); + assert(*result.data[11] == 11, 'result[11] = 11'); + assert(*result.shape[0] == 2, 'shape[0] = 2'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); + assert(*result.shape[2] == 3, 'shape[2] = 3'); let mut axes: Array = ArrayTrait::new(); axes.append(2); @@ -181,21 +181,21 @@ mod tensor_3D { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 4, 'result[1] = 4'); - assert(*result.data.at(2) == 8, 'result[2] = 8'); - assert(*result.data.at(3) == 2, 'result[3] = 2'); - assert(*result.data.at(4) == 6, 'result[4] = 6'); - assert(*result.data.at(5) == 10, 'result[5] = 10'); - assert(*result.data.at(6) == 1, 'result[6] = 1'); - assert(*result.data.at(7) == 5, 'result[7] = 5'); - assert(*result.data.at(8) == 9, 'result[8] = 9'); - assert(*result.data.at(9) == 3, 'result[9] = 3'); - assert(*result.data.at(10) == 7, 'result[10] = 7'); - assert(*result.data.at(11) == 11, 'result[11] = 11'); - assert(*result.shape.at(0) == 2, 'shape[0] = 2'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); - assert(*result.shape.at(2) == 3, 'shape[2] = 3'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 4, 'result[1] = 4'); + assert(*result.data[2] == 8, 'result[2] = 8'); + assert(*result.data[3] == 2, 'result[3] = 2'); + assert(*result.data[4] == 6, 'result[4] = 6'); + assert(*result.data[5] == 10, 'result[5] = 10'); + assert(*result.data[6] == 1, 'result[6] = 1'); + assert(*result.data[7] == 5, 'result[7] = 5'); + assert(*result.data[8] == 9, 'result[8] = 9'); + assert(*result.data[9] == 3, 'result[9] = 3'); + assert(*result.data[10] == 7, 'result[10] = 7'); + assert(*result.data[11] == 11, 'result[11] = 11'); + assert(*result.shape[0] == 2, 'shape[0] = 2'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); + assert(*result.shape[2] == 3, 'shape[2] = 3'); let mut axes: Array = ArrayTrait::new(); axes.append(0); @@ -204,20 +204,20 @@ mod tensor_3D { let result = tensor.transpose(axes.span()); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 2, 'result[1] = 2'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 3, 'result[3] = 3'); - assert(*result.data.at(4) == 4, 'result[4] = 4'); - assert(*result.data.at(5) == 6, 'result[5] = 6'); - assert(*result.data.at(6) == 5, 'result[6] = 5'); - assert(*result.data.at(7) == 7, 'result[7] = 7'); - assert(*result.data.at(8) == 8, 'result[8] = 8'); - assert(*result.data.at(9) == 10, 'result[9] = 10'); - assert(*result.data.at(10) == 9, 'result[10] = 9'); - assert(*result.data.at(11) == 11, 'result[11] = 11'); - assert(*result.shape.at(0) == 3, 'shape[0] = 3'); - assert(*result.shape.at(1) == 2, 'shape[1] = 2'); - assert(*result.shape.at(2) == 2, 'shape[2] = 2'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 2, 'result[1] = 2'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 3, 'result[3] = 3'); + assert(*result.data[4] == 4, 'result[4] = 4'); + assert(*result.data[5] == 6, 'result[5] = 6'); + assert(*result.data[6] == 5, 'result[6] = 5'); + assert(*result.data[7] == 7, 'result[7] = 7'); + assert(*result.data[8] == 8, 'result[8] = 8'); + assert(*result.data[9] == 10, 'result[9] = 10'); + assert(*result.data[10] == 9, 'result[10] = 9'); + assert(*result.data[11] == 11, 'result[11] = 11'); + assert(*result.shape[0] == 3, 'shape[0] = 3'); + assert(*result.shape[1] == 2, 'shape[1] = 2'); + assert(*result.shape[2] == 2, 'shape[2] = 2'); } } diff --git a/src/tests/operators/tensor/core/unravel_index.cairo b/src/tests/operators/tensor/core/unravel_index.cairo index 27a8ee9c8..a529d0ba9 100644 --- a/src/tests/operators/tensor/core/unravel_index.cairo +++ b/src/tests/operators/tensor/core/unravel_index.cairo @@ -13,7 +13,7 @@ mod tensor_1D { let mut shape = ArrayTrait::new(); shape.append(5); let result = unravel_index(2, shape.span()); - assert(*result.at(0) == 2, 'result[0] = 2'); + assert(*result[0] == 2, 'result[0] = 2'); } } @@ -33,8 +33,8 @@ mod tensor_2D { shape.append(2); shape.append(4); let result = unravel_index(6, shape.span()); - assert(*result.at(0) == 1, 'result[0] = 1'); - assert(*result.at(1) == 2, 'result[1] = 2'); + assert(*result[0] == 1, 'result[0] = 1'); + assert(*result[1] == 2, 'result[1] = 2'); } } @@ -56,8 +56,8 @@ mod tensor_3D { shape.append(4); shape.append(6); let result = unravel_index(42, shape.span()); - assert(*result.at(0) == 1, 'result[0] = 1'); - assert(*result.at(1) == 3, 'result[1] = 3'); - assert(*result.at(2) == 0, 'result[2] = 0'); + assert(*result[0] == 1, 'result[0] = 1'); + assert(*result[1] == 3, 'result[1] = 3'); + assert(*result[2] == 0, 'result[2] = 0'); } } diff --git a/src/tests/operators/tensor/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo b/src/tests/operators/tensor/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo index ad57ef789..aa98ef1c6 100644 --- a/src/tests/operators/tensor/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo +++ b/src/tests/operators/tensor/math/argmax/argmax_fp_test/argmax_fp16x16_test.cairo @@ -28,7 +28,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -42,7 +42,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -70,7 +70,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(0,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -95,7 +95,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(0,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -104,7 +104,7 @@ mod tensor_1D { //////////////////////////////////////////// let result = tensor.argmax(0,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -131,15 +131,15 @@ mod tensor_2D { let tensor = fp_tensor_2x2_helper(); let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); let result = tensor.argmax(1,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -156,8 +156,8 @@ mod tensor_2D { let tensor = fp_tensor_2x2_helper(); let result = tensor.argmax(1,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -183,8 +183,8 @@ mod tensor_2D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(1,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -193,8 +193,8 @@ mod tensor_2D { //////////////////////////////////////////// let result = tensor.argmax(1,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); } @@ -221,30 +221,30 @@ mod tensor_3D { let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmax(1,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmax(2,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } @@ -260,10 +260,10 @@ mod tensor_3D { let tensor = fp_tensor_2x2x2_helper(); let result = tensor.argmax(0,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -294,10 +294,10 @@ mod tensor_3D { let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(0,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); @@ -306,10 +306,10 @@ mod tensor_3D { // case: select_last_index == true //////////////////////////////////////////// let result = tensor.argmax(0,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } diff --git a/src/tests/operators/tensor/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo b/src/tests/operators/tensor/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo index 020727d37..7f73dd9c1 100644 --- a/src/tests/operators/tensor/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo +++ b/src/tests/operators/tensor/math/argmax/argmax_fp_test/argmax_fp8x23_test.cairo @@ -28,7 +28,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -42,7 +42,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -70,7 +70,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmax(0,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -95,7 +95,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmax(0,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -104,7 +104,7 @@ mod tensor_1D { //////////////////////////////////////////// let result = tensor.argmax(0,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -131,15 +131,15 @@ mod tensor_2D { let tensor = fp_tensor_2x2_helper(); let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); let result = tensor.argmax(1,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -156,8 +156,8 @@ mod tensor_2D { let tensor = fp_tensor_2x2_helper(); let result = tensor.argmax(1,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -183,8 +183,8 @@ mod tensor_2D { let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmax(1,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -193,8 +193,8 @@ mod tensor_2D { //////////////////////////////////////////// let result = tensor.argmax(1,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); } @@ -221,30 +221,30 @@ mod tensor_3D { let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmax(1,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmax(2,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } @@ -260,10 +260,10 @@ mod tensor_3D { let tensor = fp_tensor_2x2x2_helper(); let result = tensor.argmax(0,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -294,10 +294,10 @@ mod tensor_3D { let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmax(0,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); @@ -307,10 +307,10 @@ mod tensor_3D { //////////////////////////////////////////// let result = tensor.argmax(0,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } diff --git a/src/tests/operators/tensor/math/argmax/argmax_i32_test.cairo b/src/tests/operators/tensor/math/argmax/argmax_i32_test.cairo index 19c8744fb..2d53b7cc9 100644 --- a/src/tests/operators/tensor/math/argmax/argmax_i32_test.cairo +++ b/src/tests/operators/tensor/math/argmax/argmax_i32_test.cairo @@ -26,7 +26,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -40,7 +40,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -68,7 +68,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(0,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -93,7 +93,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(0,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -102,7 +102,7 @@ mod tensor_1D { //////////////////////////////////////////// let result = tensor.argmax(0,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -126,15 +126,15 @@ mod tensor_2D { let tensor = i32_tensor_2x2_helper(); let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); let result = tensor.argmax(1,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -151,8 +151,8 @@ mod tensor_2D { let tensor = i32_tensor_2x2_helper(); let result = tensor.argmax(1,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -178,8 +178,8 @@ mod tensor_2D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(1,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -187,8 +187,8 @@ mod tensor_2D { // case: select_last_index == true //////////////////////////////////////////// let result = tensor.argmax(1,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); } @@ -212,30 +212,30 @@ mod tensor_3D { let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmax(1,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmax(2,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } @@ -251,10 +251,10 @@ mod tensor_3D { let tensor = i32_tensor_2x2x2_helper(); let result = tensor.argmax(0,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -287,10 +287,10 @@ mod tensor_3D { let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(0,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); @@ -299,10 +299,10 @@ mod tensor_3D { // case: select_last_index == true //////////////////////////////////////////// let result = tensor.argmax(0,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } diff --git a/src/tests/operators/tensor/math/argmax/argmax_u32_test.cairo b/src/tests/operators/tensor/math/argmax/argmax_u32_test.cairo index 25496bc6c..b06790c03 100644 --- a/src/tests/operators/tensor/math/argmax/argmax_u32_test.cairo +++ b/src/tests/operators/tensor/math/argmax/argmax_u32_test.cairo @@ -25,7 +25,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -54,7 +54,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(0,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -79,7 +79,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(0,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -88,7 +88,7 @@ mod tensor_1D { //////////////////////////////////////////// let result = tensor.argmax(0,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -111,15 +111,15 @@ mod tensor_2D { let tensor = u32_tensor_2x2_helper(); let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); let result = tensor.argmax(1,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -135,8 +135,8 @@ mod tensor_2D { let tensor = u32_tensor_2x2_helper(); let result = tensor.argmax(1,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -162,8 +162,8 @@ mod tensor_2D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(1,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -172,8 +172,8 @@ mod tensor_2D { //////////////////////////////////////////// let result = tensor.argmax(1,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); } @@ -196,30 +196,30 @@ mod tensor_3D { let result = tensor.argmax(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmax(1,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmax(2,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } @@ -235,10 +235,10 @@ mod tensor_3D { let tensor = u32_tensor_2x2x2_helper(); let result = tensor.argmax(0,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -270,10 +270,10 @@ mod tensor_3D { let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmax(0,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); @@ -282,10 +282,10 @@ mod tensor_3D { // case: select_last_index == true //////////////////////////////////////////// let result = tensor.argmax(0,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } diff --git a/src/tests/operators/tensor/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo b/src/tests/operators/tensor/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo index 1d5c29262..e9c69dbd6 100644 --- a/src/tests/operators/tensor/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo +++ b/src/tests/operators/tensor/math/argmin/argmin_fp_test/argmin_fp16x16_test.cairo @@ -27,7 +27,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -41,7 +41,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -69,7 +69,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -94,7 +94,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -112,7 +112,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -139,15 +139,15 @@ mod tensor_2D { let tensor = fp_tensor_2x2_helper(); let result = tensor.argmin(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); let result = tensor.argmin(1,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -164,8 +164,8 @@ mod tensor_2D { let tensor = fp_tensor_2x2_helper(); let result = tensor.argmin(1,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -191,8 +191,8 @@ mod tensor_2D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(1,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -212,8 +212,8 @@ mod tensor_2D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(1,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); } @@ -240,30 +240,30 @@ mod tensor_3D { let result = tensor.argmin(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmin(1,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmin(2,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } @@ -279,10 +279,10 @@ mod tensor_3D { let tensor = fp_tensor_2x2x2_helper(); let result = tensor.argmin(0,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); } @@ -312,10 +312,10 @@ mod tensor_3D { let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); @@ -328,10 +328,10 @@ mod tensor_3D { let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } diff --git a/src/tests/operators/tensor/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo b/src/tests/operators/tensor/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo index 8f8e7c4bf..e7652cf96 100644 --- a/src/tests/operators/tensor/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo +++ b/src/tests/operators/tensor/math/argmin/argmin_fp_test/argmin_fp8x23_test.cairo @@ -25,7 +25,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmin(0, Option::None(()), Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -38,7 +38,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmin(0, Option::None(()), Option::None(())); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -65,7 +65,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmin(0, Option::Some(false), Option::None(())); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -89,7 +89,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmin(0, Option::None(()), Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -106,7 +106,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmin(0, Option::None(()), Option::Some(true)); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -133,14 +133,14 @@ mod tensor_2D { let tensor = fp_tensor_2x2_helper(); let result = tensor.argmin(0, Option::None(()), Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); let result = tensor.argmin(1, Option::None(()), Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); } @@ -154,8 +154,8 @@ mod tensor_2D { let tensor = fp_tensor_2x2_helper(); let result = tensor.argmin(1, Option::Some(false), Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -179,8 +179,8 @@ mod tensor_2D { let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmin(1, Option::None(()), Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -200,8 +200,8 @@ mod tensor_2D { let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmin(1, Option::None(()), Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); } @@ -228,28 +228,28 @@ mod tensor_3D { let result = tensor.argmin(0, Option::None(()), Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmin(1, Option::None(()), Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmin(2, Option::None(()), Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } @@ -264,10 +264,10 @@ mod tensor_3D { let tensor = fp_tensor_2x2x2_helper(); let result = tensor.argmin(0, Option::Some(false), Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); } @@ -296,10 +296,10 @@ mod tensor_3D { let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmin(0, Option::None(()), Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); @@ -310,10 +310,10 @@ mod tensor_3D { let extra = ExtraParams { fixed_point: Option::Some(FixedImpl::FP8x23(())) }; let tensor = TensorTrait::::new(sizes.span(), data.span(), Option::Some(extra)); let result = tensor.argmin(0, Option::None(()), Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } diff --git a/src/tests/operators/tensor/math/argmin/argmin_i32_test.cairo b/src/tests/operators/tensor/math/argmin/argmin_i32_test.cairo index 5c36e4f3d..86942f9a5 100644 --- a/src/tests/operators/tensor/math/argmin/argmin_i32_test.cairo +++ b/src/tests/operators/tensor/math/argmin/argmin_i32_test.cairo @@ -26,7 +26,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -40,7 +40,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -68,7 +68,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -93,7 +93,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -111,7 +111,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -135,15 +135,15 @@ mod tensor_2D { let tensor = i32_tensor_2x2_helper(); let result = tensor.argmin(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); let result = tensor.argmin(1,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -160,8 +160,8 @@ mod tensor_2D { let tensor = i32_tensor_2x2_helper(); let result = tensor.argmin(1,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -187,8 +187,8 @@ mod tensor_2D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(1,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -208,8 +208,8 @@ mod tensor_2D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(1,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); } @@ -233,30 +233,30 @@ mod tensor_3D { let result = tensor.argmin(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmin(1,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmin(2,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } @@ -272,10 +272,10 @@ mod tensor_3D { let tensor = i32_tensor_2x2x2_helper(); let result = tensor.argmin(0,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -308,10 +308,10 @@ mod tensor_3D { let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); @@ -324,10 +324,10 @@ mod tensor_3D { let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } diff --git a/src/tests/operators/tensor/math/argmin/argmin_u32_test.cairo b/src/tests/operators/tensor/math/argmin/argmin_u32_test.cairo index 45e4a7a7c..fb8438231 100644 --- a/src/tests/operators/tensor/math/argmin/argmin_u32_test.cairo +++ b/src/tests/operators/tensor/math/argmin/argmin_u32_test.cairo @@ -25,7 +25,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -54,7 +54,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -79,7 +79,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -97,7 +97,7 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 2, 'result[0] = 2'); + assert(*result.data[0] == 2, 'result[0] = 2'); assert(result.data.len() == 1, 'length == 1'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); } @@ -120,15 +120,15 @@ mod tensor_2D { let tensor = u32_tensor_2x2_helper(); let result = tensor.argmin(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); let result = tensor.argmin(1,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -145,8 +145,8 @@ mod tensor_2D { let tensor = u32_tensor_2x2_helper(); let result = tensor.argmin(1,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 1, 'result.shape.len() == 1'); @@ -172,8 +172,8 @@ mod tensor_2D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(1,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -193,8 +193,8 @@ mod tensor_2D { let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(1,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); assert(result.data.len() == 2, 'length == 2'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); } @@ -217,30 +217,30 @@ mod tensor_3D { let result = tensor.argmin(0,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmin(1,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); let result = tensor.argmin(2,Option::None(()),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } @@ -256,10 +256,10 @@ mod tensor_3D { let tensor = u32_tensor_2x2x2_helper(); let result = tensor.argmin(0,Option::Some(false),Option::None(())); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 2, 'result.shape.len() == 2'); @@ -292,10 +292,10 @@ mod tensor_3D { let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::Some(false)); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); @@ -308,10 +308,10 @@ mod tensor_3D { let extra = Option::::None(()); let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); let result = tensor.argmin(0,Option::None(()),Option::Some(true)); - assert(*result.data.at(0) == 1, 'result[0] = 1'); - assert(*result.data.at(1) == 1, 'result[1] = 1'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); - assert(*result.data.at(3) == 1, 'result[3] = 1'); + assert(*result.data[0] == 1, 'result[0] = 1'); + assert(*result.data[1] == 1, 'result[1] = 1'); + assert(*result.data[2] == 1, 'result[2] = 1'); + assert(*result.data[3] == 1, 'result[3] = 1'); assert(result.data.len() == 4, 'length == 4'); assert(result.shape.len() == 3, 'result.shape.len() == 3'); } diff --git a/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp16x16_test.cairo b/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp16x16_test.cairo index 7d9c61c71..229d3f460 100644 --- a/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp16x16_test.cairo +++ b/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp16x16_test.cairo @@ -20,9 +20,9 @@ mod tensor_1D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result[2] == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); } } @@ -44,9 +44,9 @@ mod tensor_1D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); - assert(*result.at(2) == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result[2] == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); } } @@ -68,9 +68,9 @@ mod tensor_1D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[2] == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); } } @@ -101,8 +101,8 @@ mod tensor_1D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[0] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); } } } @@ -132,10 +132,10 @@ mod tensor_2D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); - assert(*result.at(3) == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result[2] == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result[3] == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); } #[test] @@ -153,10 +153,10 @@ mod tensor_2D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(101, false), 'result[1] = 101'); - assert(*result.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); - assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(101, false), 'result[1] = 101'); + assert(*result[2] == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result[3] == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -169,10 +169,10 @@ mod tensor_2D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); - assert(*result.at(2) == FixedTrait::new_unscaled(102, false), 'result[2] = 102'); - assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); + assert(*result[2] == FixedTrait::new_unscaled(102, false), 'result[2] = 102'); + assert(*result[3] == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); } } @@ -197,10 +197,10 @@ mod tensor_2D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); - assert(*result.at(2) == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); - assert(*result.at(3) == FixedTrait::new_unscaled(0, false), 'result[3] = 0'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result[2] == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); + assert(*result[3] == FixedTrait::new_unscaled(0, false), 'result[3] = 0'); } #[test] @@ -218,10 +218,10 @@ mod tensor_2D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); - assert(*result.at(2) == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); - assert(*result.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result[3] == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -234,10 +234,10 @@ mod tensor_2D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result[3] == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); } } @@ -262,10 +262,10 @@ mod tensor_2D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); - assert(*result.at(3) == FixedTrait::new_unscaled(9, false), 'result[3] = 9'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[2] == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result[3] == FixedTrait::new_unscaled(9, false), 'result[3] = 9'); } #[test] @@ -283,10 +283,10 @@ mod tensor_2D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(100, false), 'result[1] = 100'); - assert(*result.at(2) == FixedTrait::new_unscaled(20, false), 'result[2] = 20'); - assert(*result.at(3) == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(100, false), 'result[1] = 100'); + assert(*result[2] == FixedTrait::new_unscaled(20, false), 'result[2] = 20'); + assert(*result[3] == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -299,10 +299,10 @@ mod tensor_2D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(10, false), 'result[1] = 10'); - assert(*result.at(2) == FixedTrait::new_unscaled(200, false), 'result[2] = 200'); - assert(*result.at(3) == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(10, false), 'result[1] = 10'); + assert(*result[2] == FixedTrait::new_unscaled(200, false), 'result[2] = 200'); + assert(*result[3] == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); } } @@ -336,10 +336,10 @@ mod tensor_2D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + assert(*result[0] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result[3] == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); } #[test] @@ -367,10 +367,10 @@ mod tensor_2D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.at(2) == FixedTrait::new_unscaled(30, false), 'result[2] = 30'); - assert(*result.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result[2] == FixedTrait::new_unscaled(30, false), 'result[2] = 30'); + assert(*result[3] == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -383,10 +383,10 @@ mod tensor_2D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(20, false), 'result[1] = 20'); - assert(*result.at(2) == FixedTrait::new_unscaled(3, false), 'result[2] = 3'); - assert(*result.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(20, false), 'result[1] = 20'); + assert(*result[2] == FixedTrait::new_unscaled(3, false), 'result[2] = 3'); + assert(*result[3] == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); } } } @@ -416,14 +416,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); - assert(*result.at(3) == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); - assert(*result.at(4) == FixedTrait::new_unscaled(8, false), 'result[4] = 8'); - assert(*result.at(5) == FixedTrait::new_unscaled(10, false), 'result[5] = 10'); - assert(*result.at(6) == FixedTrait::new_unscaled(12, false), 'result[6] = 12'); - assert(*result.at(7) == FixedTrait::new_unscaled(14, false), 'result[7] = 14'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result[2] == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result[3] == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); + assert(*result[4] == FixedTrait::new_unscaled(8, false), 'result[4] = 8'); + assert(*result[5] == FixedTrait::new_unscaled(10, false), 'result[5] = 10'); + assert(*result[6] == FixedTrait::new_unscaled(12, false), 'result[6] = 12'); + assert(*result[7] == FixedTrait::new_unscaled(14, false), 'result[7] = 14'); } #[test] @@ -443,14 +443,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); - assert(*result.at(2) == FixedTrait::new_unscaled(102, false), 'result[2] = 102'); - assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); - assert(*result.at(4) == FixedTrait::new_unscaled(14, false), 'result[4] = 14'); - assert(*result.at(5) == FixedTrait::new_unscaled(15, false), 'result[5] = 15'); - assert(*result.at(6) == FixedTrait::new_unscaled(106, false), 'result[6] = 106'); - assert(*result.at(7) == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); + assert(*result[2] == FixedTrait::new_unscaled(102, false), 'result[2] = 102'); + assert(*result[3] == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + assert(*result[4] == FixedTrait::new_unscaled(14, false), 'result[4] = 14'); + assert(*result[5] == FixedTrait::new_unscaled(15, false), 'result[5] = 15'); + assert(*result[6] == FixedTrait::new_unscaled(106, false), 'result[6] = 106'); + assert(*result[7] == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -464,14 +464,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); - assert(*result.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); - assert(*result.at(3) == FixedTrait::new_unscaled(13, false), 'result[3] = 13'); - assert(*result.at(4) == FixedTrait::new_unscaled(104, false), 'result[4] = 104'); - assert(*result.at(5) == FixedTrait::new_unscaled(105, false), 'result[5] = 105'); - assert(*result.at(6) == FixedTrait::new_unscaled(106, false), 'result[6] = 106'); - assert(*result.at(7) == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); + assert(*result[2] == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result[3] == FixedTrait::new_unscaled(13, false), 'result[3] = 13'); + assert(*result[4] == FixedTrait::new_unscaled(104, false), 'result[4] = 104'); + assert(*result[5] == FixedTrait::new_unscaled(105, false), 'result[5] = 105'); + assert(*result[6] == FixedTrait::new_unscaled(106, false), 'result[6] = 106'); + assert(*result[7] == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); let mut sizes = ArrayTrait::new(); sizes.append(1); @@ -485,14 +485,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(101, false), 'result[1] = 101'); - assert(*result.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); - assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); - assert(*result.at(4) == FixedTrait::new_unscaled(14, false), 'result[4] = 14'); - assert(*result.at(5) == FixedTrait::new_unscaled(105, false), 'result[5] = 105'); - assert(*result.at(6) == FixedTrait::new_unscaled(16, false), 'result[6] = 16'); - assert(*result.at(7) == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(101, false), 'result[1] = 101'); + assert(*result[2] == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result[3] == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + assert(*result[4] == FixedTrait::new_unscaled(14, false), 'result[4] = 14'); + assert(*result[5] == FixedTrait::new_unscaled(105, false), 'result[5] = 105'); + assert(*result[6] == FixedTrait::new_unscaled(16, false), 'result[6] = 16'); + assert(*result[7] == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); } } @@ -517,14 +517,14 @@ mod tensor_3D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); - assert(*result.at(2) == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); - assert(*result.at(3) == FixedTrait::new_unscaled(0, false), 'result[3] = 0'); - assert(*result.at(4) == FixedTrait::new_unscaled(0, false), 'result[4] = 0'); - assert(*result.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); - assert(*result.at(6) == FixedTrait::new_unscaled(0, false), 'result[6] = 0'); - assert(*result.at(7) == FixedTrait::new_unscaled(0, false), 'result[7] = 0'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result[2] == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); + assert(*result[3] == FixedTrait::new_unscaled(0, false), 'result[3] = 0'); + assert(*result[4] == FixedTrait::new_unscaled(0, false), 'result[4] = 0'); + assert(*result[5] == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); + assert(*result[6] == FixedTrait::new_unscaled(0, false), 'result[6] = 0'); + assert(*result[7] == FixedTrait::new_unscaled(0, false), 'result[7] = 0'); } #[test] @@ -544,14 +544,14 @@ mod tensor_3D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); - assert(*result.at(4) == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); - assert(*result.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); - assert(*result.at(6) == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); - assert(*result.at(7) == FixedTrait::new_unscaled(6, false), 'result[7] = 6'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result[3] == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + assert(*result[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result[6] == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); + assert(*result[7] == FixedTrait::new_unscaled(6, false), 'result[7] = 6'); } } @@ -576,14 +576,14 @@ mod tensor_3D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); - assert(*result.at(3) == FixedTrait::new_unscaled(9, false), 'result[3] = 9'); - assert(*result.at(4) == FixedTrait::new_unscaled(16, false), 'result[4] = 16'); - assert(*result.at(5) == FixedTrait::new_unscaled(25, false), 'result[5] = 25'); - assert(*result.at(6) == FixedTrait::new_unscaled(36, false), 'result[6] = 36'); - assert(*result.at(7) == FixedTrait::new_unscaled(49, false), 'result[7] = 49'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[2] == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result[3] == FixedTrait::new_unscaled(9, false), 'result[3] = 9'); + assert(*result[4] == FixedTrait::new_unscaled(16, false), 'result[4] = 16'); + assert(*result[5] == FixedTrait::new_unscaled(25, false), 'result[5] = 25'); + assert(*result[6] == FixedTrait::new_unscaled(36, false), 'result[6] = 36'); + assert(*result[7] == FixedTrait::new_unscaled(49, false), 'result[7] = 49'); } #[test] @@ -603,14 +603,14 @@ mod tensor_3D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(10, false), 'result[1] = 10'); - assert(*result.at(2) == FixedTrait::new_unscaled(200, false), 'result[2] = 200'); - assert(*result.at(3) == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); - assert(*result.at(4) == FixedTrait::new_unscaled(40, false), 'result[4] = 40'); - assert(*result.at(5) == FixedTrait::new_unscaled(50, false), 'result[5] = 50'); - assert(*result.at(6) == FixedTrait::new_unscaled(600, false), 'result[6] = 600'); - assert(*result.at(7) == FixedTrait::new_unscaled(700, false), 'result[7] = 700'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(10, false), 'result[1] = 10'); + assert(*result[2] == FixedTrait::new_unscaled(200, false), 'result[2] = 200'); + assert(*result[3] == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); + assert(*result[4] == FixedTrait::new_unscaled(40, false), 'result[4] = 40'); + assert(*result[5] == FixedTrait::new_unscaled(50, false), 'result[5] = 50'); + assert(*result[6] == FixedTrait::new_unscaled(600, false), 'result[6] = 600'); + assert(*result[7] == FixedTrait::new_unscaled(700, false), 'result[7] = 700'); } } @@ -648,14 +648,14 @@ mod tensor_3D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); - assert(*result.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); - assert(*result.at(5) == FixedTrait::new_unscaled(1, false), 'result[5] = 1'); - assert(*result.at(6) == FixedTrait::new_unscaled(1, false), 'result[6] = 1'); - assert(*result.at(7) == FixedTrait::new_unscaled(1, false), 'result[7] = 1'); + assert(*result[0] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result[3] == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + assert(*result[4] == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result[5] == FixedTrait::new_unscaled(1, false), 'result[5] = 1'); + assert(*result[6] == FixedTrait::new_unscaled(1, false), 'result[6] = 1'); + assert(*result[7] == FixedTrait::new_unscaled(1, false), 'result[7] = 1'); } #[test] @@ -689,14 +689,14 @@ mod tensor_3D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(20, false), 'result[1] = 20'); - assert(*result.at(2) == FixedTrait::new_unscaled(3, false), 'result[2] = 3'); - assert(*result.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); - assert(*result.at(4) == FixedTrait::new_unscaled(50, false), 'result[4] = 50'); - assert(*result.at(5) == FixedTrait::new_unscaled(60, false), 'result[5] = 60'); - assert(*result.at(6) == FixedTrait::new_unscaled(7, false), 'result[6] = 7'); - assert(*result.at(7) == FixedTrait::new_unscaled(8, false), 'result[7] = 8'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(20, false), 'result[1] = 20'); + assert(*result[2] == FixedTrait::new_unscaled(3, false), 'result[2] = 3'); + assert(*result[3] == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + assert(*result[4] == FixedTrait::new_unscaled(50, false), 'result[4] = 50'); + assert(*result[5] == FixedTrait::new_unscaled(60, false), 'result[5] = 60'); + assert(*result[6] == FixedTrait::new_unscaled(7, false), 'result[6] = 7'); + assert(*result[7] == FixedTrait::new_unscaled(8, false), 'result[7] = 8'); } } } diff --git a/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp8x23_test.cairo b/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp8x23_test.cairo index 0f779e5b4..976f8c343 100644 --- a/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp8x23_test.cairo +++ b/src/tests/operators/tensor/math/arithmetic/arithmetic_fp_test/arithmetic_fp8x23_test.cairo @@ -20,9 +20,9 @@ mod tensor_1D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result[2] == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); } } @@ -44,9 +44,9 @@ mod tensor_1D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); - assert(*result.at(2) == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result[2] == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); } } @@ -68,9 +68,9 @@ mod tensor_1D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[2] == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); } } @@ -102,8 +102,8 @@ mod tensor_1D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[0] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); } } } @@ -133,10 +133,10 @@ mod tensor_2D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); - assert(*result.at(3) == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result[2] == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result[3] == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); } #[test] @@ -155,10 +155,10 @@ mod tensor_2D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(101, false), 'result[1] = 101'); - assert(*result.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); - assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(101, false), 'result[1] = 101'); + assert(*result[2] == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result[3] == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -172,10 +172,10 @@ mod tensor_2D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); - assert(*result.at(2) == FixedTrait::new_unscaled(102, false), 'result[2] = 102'); - assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); + assert(*result[2] == FixedTrait::new_unscaled(102, false), 'result[2] = 102'); + assert(*result[3] == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); } } @@ -200,10 +200,10 @@ mod tensor_2D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); - assert(*result.at(2) == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); - assert(*result.at(3) == FixedTrait::new_unscaled(0, false), 'result[3] = 0'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result[2] == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); + assert(*result[3] == FixedTrait::new_unscaled(0, false), 'result[3] = 0'); } #[test] @@ -222,10 +222,10 @@ mod tensor_2D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); - assert(*result.at(2) == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); - assert(*result.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result[2] == FixedTrait::new_unscaled(2, false), 'result[2] = 2'); + assert(*result[3] == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -239,10 +239,10 @@ mod tensor_2D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result[3] == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); } } @@ -267,10 +267,10 @@ mod tensor_2D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); - assert(*result.at(3) == FixedTrait::new_unscaled(9, false), 'result[3] = 9'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[2] == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result[3] == FixedTrait::new_unscaled(9, false), 'result[3] = 9'); } #[test] @@ -289,10 +289,10 @@ mod tensor_2D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(100, false), 'result[1] = 100'); - assert(*result.at(2) == FixedTrait::new_unscaled(20, false), 'result[2] = 20'); - assert(*result.at(3) == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(100, false), 'result[1] = 100'); + assert(*result[2] == FixedTrait::new_unscaled(20, false), 'result[2] = 20'); + assert(*result[3] == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -306,10 +306,10 @@ mod tensor_2D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(10, false), 'result[1] = 10'); - assert(*result.at(2) == FixedTrait::new_unscaled(200, false), 'result[2] = 200'); - assert(*result.at(3) == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(10, false), 'result[1] = 10'); + assert(*result[2] == FixedTrait::new_unscaled(200, false), 'result[2] = 200'); + assert(*result[3] == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); } } @@ -344,10 +344,10 @@ mod tensor_2D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + assert(*result[0] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result[3] == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); } #[test] @@ -377,10 +377,10 @@ mod tensor_2D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.at(2) == FixedTrait::new_unscaled(30, false), 'result[2] = 30'); - assert(*result.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result[2] == FixedTrait::new_unscaled(30, false), 'result[2] = 30'); + assert(*result[3] == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -394,10 +394,10 @@ mod tensor_2D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(20, false), 'result[1] = 20'); - assert(*result.at(2) == FixedTrait::new_unscaled(3, false), 'result[2] = 3'); - assert(*result.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(20, false), 'result[1] = 20'); + assert(*result[2] == FixedTrait::new_unscaled(3, false), 'result[2] = 3'); + assert(*result[3] == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); } } } @@ -427,14 +427,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); - assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); - assert(*result.at(3) == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); - assert(*result.at(4) == FixedTrait::new_unscaled(8, false), 'result[4] = 8'); - assert(*result.at(5) == FixedTrait::new_unscaled(10, false), 'result[5] = 10'); - assert(*result.at(6) == FixedTrait::new_unscaled(12, false), 'result[6] = 12'); - assert(*result.at(7) == FixedTrait::new_unscaled(14, false), 'result[7] = 14'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(2, false), 'result[1] = 2'); + assert(*result[2] == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result[3] == FixedTrait::new_unscaled(6, false), 'result[3] = 6'); + assert(*result[4] == FixedTrait::new_unscaled(8, false), 'result[4] = 8'); + assert(*result[5] == FixedTrait::new_unscaled(10, false), 'result[5] = 10'); + assert(*result[6] == FixedTrait::new_unscaled(12, false), 'result[6] = 12'); + assert(*result[7] == FixedTrait::new_unscaled(14, false), 'result[7] = 14'); } #[test] @@ -455,14 +455,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); - assert(*result.at(2) == FixedTrait::new_unscaled(102, false), 'result[2] = 102'); - assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); - assert(*result.at(4) == FixedTrait::new_unscaled(14, false), 'result[4] = 14'); - assert(*result.at(5) == FixedTrait::new_unscaled(15, false), 'result[5] = 15'); - assert(*result.at(6) == FixedTrait::new_unscaled(106, false), 'result[6] = 106'); - assert(*result.at(7) == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); + assert(*result[2] == FixedTrait::new_unscaled(102, false), 'result[2] = 102'); + assert(*result[3] == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + assert(*result[4] == FixedTrait::new_unscaled(14, false), 'result[4] = 14'); + assert(*result[5] == FixedTrait::new_unscaled(15, false), 'result[5] = 15'); + assert(*result[6] == FixedTrait::new_unscaled(106, false), 'result[6] = 106'); + assert(*result[7] == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -477,14 +477,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); - assert(*result.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); - assert(*result.at(3) == FixedTrait::new_unscaled(13, false), 'result[3] = 13'); - assert(*result.at(4) == FixedTrait::new_unscaled(104, false), 'result[4] = 104'); - assert(*result.at(5) == FixedTrait::new_unscaled(105, false), 'result[5] = 105'); - assert(*result.at(6) == FixedTrait::new_unscaled(106, false), 'result[6] = 106'); - assert(*result.at(7) == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(11, false), 'result[1] = 11'); + assert(*result[2] == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result[3] == FixedTrait::new_unscaled(13, false), 'result[3] = 13'); + assert(*result[4] == FixedTrait::new_unscaled(104, false), 'result[4] = 104'); + assert(*result[5] == FixedTrait::new_unscaled(105, false), 'result[5] = 105'); + assert(*result[6] == FixedTrait::new_unscaled(106, false), 'result[6] = 106'); + assert(*result[7] == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); let mut sizes = ArrayTrait::new(); sizes.append(1); @@ -499,14 +499,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(101, false), 'result[1] = 101'); - assert(*result.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); - assert(*result.at(3) == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); - assert(*result.at(4) == FixedTrait::new_unscaled(14, false), 'result[4] = 14'); - assert(*result.at(5) == FixedTrait::new_unscaled(105, false), 'result[5] = 105'); - assert(*result.at(6) == FixedTrait::new_unscaled(16, false), 'result[6] = 16'); - assert(*result.at(7) == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(101, false), 'result[1] = 101'); + assert(*result[2] == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result[3] == FixedTrait::new_unscaled(103, false), 'result[3] = 103'); + assert(*result[4] == FixedTrait::new_unscaled(14, false), 'result[4] = 14'); + assert(*result[5] == FixedTrait::new_unscaled(105, false), 'result[5] = 105'); + assert(*result[6] == FixedTrait::new_unscaled(16, false), 'result[6] = 16'); + assert(*result[7] == FixedTrait::new_unscaled(107, false), 'result[7] = 107'); } } @@ -531,14 +531,14 @@ mod tensor_3D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); - assert(*result.at(2) == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); - assert(*result.at(3) == FixedTrait::new_unscaled(0, false), 'result[3] = 0'); - assert(*result.at(4) == FixedTrait::new_unscaled(0, false), 'result[4] = 0'); - assert(*result.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); - assert(*result.at(6) == FixedTrait::new_unscaled(0, false), 'result[6] = 0'); - assert(*result.at(7) == FixedTrait::new_unscaled(0, false), 'result[7] = 0'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(0, false), 'result[1] = 0'); + assert(*result[2] == FixedTrait::new_unscaled(0, false), 'result[2] = 0'); + assert(*result[3] == FixedTrait::new_unscaled(0, false), 'result[3] = 0'); + assert(*result[4] == FixedTrait::new_unscaled(0, false), 'result[4] = 0'); + assert(*result[5] == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); + assert(*result[6] == FixedTrait::new_unscaled(0, false), 'result[6] = 0'); + assert(*result[7] == FixedTrait::new_unscaled(0, false), 'result[7] = 0'); } #[test] @@ -559,14 +559,14 @@ mod tensor_3D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.at(3) == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); - assert(*result.at(4) == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); - assert(*result.at(5) == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); - assert(*result.at(6) == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); - assert(*result.at(7) == FixedTrait::new_unscaled(6, false), 'result[7] = 6'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result[3] == FixedTrait::new_unscaled(2, false), 'result[3] = 2'); + assert(*result[4] == FixedTrait::new_unscaled(4, false), 'result[4] = 4'); + assert(*result[5] == FixedTrait::new_unscaled(5, false), 'result[5] = 5'); + assert(*result[6] == FixedTrait::new_unscaled(5, false), 'result[6] = 5'); + assert(*result[7] == FixedTrait::new_unscaled(6, false), 'result[7] = 6'); } } @@ -591,14 +591,14 @@ mod tensor_3D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.at(2) == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); - assert(*result.at(3) == FixedTrait::new_unscaled(9, false), 'result[3] = 9'); - assert(*result.at(4) == FixedTrait::new_unscaled(16, false), 'result[4] = 16'); - assert(*result.at(5) == FixedTrait::new_unscaled(25, false), 'result[5] = 25'); - assert(*result.at(6) == FixedTrait::new_unscaled(36, false), 'result[6] = 36'); - assert(*result.at(7) == FixedTrait::new_unscaled(49, false), 'result[7] = 49'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[2] == FixedTrait::new_unscaled(4, false), 'result[2] = 4'); + assert(*result[3] == FixedTrait::new_unscaled(9, false), 'result[3] = 9'); + assert(*result[4] == FixedTrait::new_unscaled(16, false), 'result[4] = 16'); + assert(*result[5] == FixedTrait::new_unscaled(25, false), 'result[5] = 25'); + assert(*result[6] == FixedTrait::new_unscaled(36, false), 'result[6] = 36'); + assert(*result[7] == FixedTrait::new_unscaled(49, false), 'result[7] = 49'); } #[test] @@ -619,14 +619,14 @@ mod tensor_3D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.at(1) == FixedTrait::new_unscaled(10, false), 'result[1] = 10'); - assert(*result.at(2) == FixedTrait::new_unscaled(200, false), 'result[2] = 200'); - assert(*result.at(3) == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); - assert(*result.at(4) == FixedTrait::new_unscaled(40, false), 'result[4] = 40'); - assert(*result.at(5) == FixedTrait::new_unscaled(50, false), 'result[5] = 50'); - assert(*result.at(6) == FixedTrait::new_unscaled(600, false), 'result[6] = 600'); - assert(*result.at(7) == FixedTrait::new_unscaled(700, false), 'result[7] = 700'); + assert(*result[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result[1] == FixedTrait::new_unscaled(10, false), 'result[1] = 10'); + assert(*result[2] == FixedTrait::new_unscaled(200, false), 'result[2] = 200'); + assert(*result[3] == FixedTrait::new_unscaled(300, false), 'result[3] = 300'); + assert(*result[4] == FixedTrait::new_unscaled(40, false), 'result[4] = 40'); + assert(*result[5] == FixedTrait::new_unscaled(50, false), 'result[5] = 50'); + assert(*result[6] == FixedTrait::new_unscaled(600, false), 'result[6] = 600'); + assert(*result[7] == FixedTrait::new_unscaled(700, false), 'result[7] = 700'); } } @@ -665,14 +665,14 @@ mod tensor_3D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); - assert(*result.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.at(2) == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); - assert(*result.at(3) == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); - assert(*result.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); - assert(*result.at(5) == FixedTrait::new_unscaled(1, false), 'result[5] = 1'); - assert(*result.at(6) == FixedTrait::new_unscaled(1, false), 'result[6] = 1'); - assert(*result.at(7) == FixedTrait::new_unscaled(1, false), 'result[7] = 1'); + assert(*result[0] == FixedTrait::new_unscaled(1, false), 'result[0] = 1'); + assert(*result[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result[2] == FixedTrait::new_unscaled(1, false), 'result[2] = 1'); + assert(*result[3] == FixedTrait::new_unscaled(1, false), 'result[3] = 1'); + assert(*result[4] == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result[5] == FixedTrait::new_unscaled(1, false), 'result[5] = 1'); + assert(*result[6] == FixedTrait::new_unscaled(1, false), 'result[6] = 1'); + assert(*result[7] == FixedTrait::new_unscaled(1, false), 'result[7] = 1'); } #[test] @@ -708,14 +708,14 @@ mod tensor_3D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); - assert(*result.at(1) == FixedTrait::new_unscaled(20, false), 'result[1] = 20'); - assert(*result.at(2) == FixedTrait::new_unscaled(3, false), 'result[2] = 3'); - assert(*result.at(3) == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); - assert(*result.at(4) == FixedTrait::new_unscaled(50, false), 'result[4] = 50'); - assert(*result.at(5) == FixedTrait::new_unscaled(60, false), 'result[5] = 60'); - assert(*result.at(6) == FixedTrait::new_unscaled(7, false), 'result[6] = 7'); - assert(*result.at(7) == FixedTrait::new_unscaled(8, false), 'result[7] = 8'); + assert(*result[0] == FixedTrait::new_unscaled(10, false), 'result[0] = 10'); + assert(*result[1] == FixedTrait::new_unscaled(20, false), 'result[1] = 20'); + assert(*result[2] == FixedTrait::new_unscaled(3, false), 'result[2] = 3'); + assert(*result[3] == FixedTrait::new_unscaled(4, false), 'result[3] = 4'); + assert(*result[4] == FixedTrait::new_unscaled(50, false), 'result[4] = 50'); + assert(*result[5] == FixedTrait::new_unscaled(60, false), 'result[5] = 60'); + assert(*result[6] == FixedTrait::new_unscaled(7, false), 'result[6] = 7'); + assert(*result[7] == FixedTrait::new_unscaled(8, false), 'result[7] = 8'); } } } diff --git a/src/tests/operators/tensor/math/arithmetic/arithmetic_i32_test.cairo b/src/tests/operators/tensor/math/arithmetic/arithmetic_i32_test.cairo index 74a110e6d..7430a8bc2 100644 --- a/src/tests/operators/tensor/math/arithmetic/arithmetic_i32_test.cairo +++ b/src/tests/operators/tensor/math/arithmetic/arithmetic_i32_test.cairo @@ -19,9 +19,9 @@ mod tensor_1D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(2, false), 'result[1] = 2'); - assert(*result.at(2) == IntegerTrait::new(4, false), 'result[2] = 4'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(2, false), 'result[1] = 2'); + assert(*result[2] == IntegerTrait::new(4, false), 'result[2] = 4'); } } @@ -42,9 +42,9 @@ mod tensor_1D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(0, false), 'result[1] = 0'); - assert(*result.at(2) == IntegerTrait::new(0, false), 'result[2] = 0'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(0, false), 'result[1] = 0'); + assert(*result[2] == IntegerTrait::new(0, false), 'result[2] = 0'); } } @@ -65,9 +65,9 @@ mod tensor_1D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); - assert(*result.at(2) == IntegerTrait::new(4, false), 'result[2] = 4'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result[2] == IntegerTrait::new(4, false), 'result[2] = 4'); } } @@ -95,8 +95,8 @@ mod tensor_1D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(1, false), 'result[0] = 1'); - assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result[0] == IntegerTrait::new(1, false), 'result[0] = 1'); + assert(*result[1] == IntegerTrait::new(1, false), 'result[1] = 1'); } } } @@ -123,10 +123,10 @@ mod tensor_2D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(2, false), 'result[1] = 2'); - assert(*result.at(2) == IntegerTrait::new(4, false), 'result[2] = 4'); - assert(*result.at(3) == IntegerTrait::new(6, false), 'result[3] = 6'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(2, false), 'result[1] = 2'); + assert(*result[2] == IntegerTrait::new(4, false), 'result[2] = 4'); + assert(*result[3] == IntegerTrait::new(6, false), 'result[3] = 6'); } #[test] @@ -144,10 +144,10 @@ mod tensor_2D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); - assert(*result.at(1) == IntegerTrait::new(101, false), 'result[1] = 101'); - assert(*result.at(2) == IntegerTrait::new(12, false), 'result[2] = 12'); - assert(*result.at(3) == IntegerTrait::new(103, false), 'result[3] = 103'); + assert(*result[0] == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result[1] == IntegerTrait::new(101, false), 'result[1] = 101'); + assert(*result[2] == IntegerTrait::new(12, false), 'result[2] = 12'); + assert(*result[3] == IntegerTrait::new(103, false), 'result[3] = 103'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -160,10 +160,10 @@ mod tensor_2D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); - assert(*result.at(1) == IntegerTrait::new(11, false), 'result[1] = 11'); - assert(*result.at(2) == IntegerTrait::new(102, false), 'result[2] = 102'); - assert(*result.at(3) == IntegerTrait::new(103, false), 'result[3] = 103'); + assert(*result[0] == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result[1] == IntegerTrait::new(11, false), 'result[1] = 11'); + assert(*result[2] == IntegerTrait::new(102, false), 'result[2] = 102'); + assert(*result[3] == IntegerTrait::new(103, false), 'result[3] = 103'); } } @@ -185,10 +185,10 @@ mod tensor_2D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(0, false), 'result[1] = 0'); - assert(*result.at(2) == IntegerTrait::new(0, false), 'result[2] = 0'); - assert(*result.at(3) == IntegerTrait::new(0, false), 'result[3] = 0'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(0, false), 'result[1] = 0'); + assert(*result[2] == IntegerTrait::new(0, false), 'result[2] = 0'); + assert(*result[3] == IntegerTrait::new(0, false), 'result[3] = 0'); } #[test] @@ -206,10 +206,10 @@ mod tensor_2D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(0, false), 'result[1] = 0'); - assert(*result.at(2) == IntegerTrait::new(2, false), 'result[2] = 2'); - assert(*result.at(3) == IntegerTrait::new(2, false), 'result[3] = 2'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(0, false), 'result[1] = 0'); + assert(*result[2] == IntegerTrait::new(2, false), 'result[2] = 2'); + assert(*result[3] == IntegerTrait::new(2, false), 'result[3] = 2'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -222,10 +222,10 @@ mod tensor_2D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); - assert(*result.at(2) == IntegerTrait::new(1, false), 'result[2] = 1'); - assert(*result.at(3) == IntegerTrait::new(2, false), 'result[3] = 2'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result[2] == IntegerTrait::new(1, false), 'result[2] = 1'); + assert(*result[3] == IntegerTrait::new(2, false), 'result[3] = 2'); } } @@ -247,10 +247,10 @@ mod tensor_2D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); - assert(*result.at(2) == IntegerTrait::new(4, false), 'result[2] = 4'); - assert(*result.at(3) == IntegerTrait::new(9, false), 'result[3] = 9'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result[2] == IntegerTrait::new(4, false), 'result[2] = 4'); + assert(*result[3] == IntegerTrait::new(9, false), 'result[3] = 9'); } #[test] @@ -268,10 +268,10 @@ mod tensor_2D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(100, false), 'result[1] = 100'); - assert(*result.at(2) == IntegerTrait::new(20, false), 'result[2] = 20'); - assert(*result.at(3) == IntegerTrait::new(300, false), 'result[3] = 300'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(100, false), 'result[1] = 100'); + assert(*result[2] == IntegerTrait::new(20, false), 'result[2] = 20'); + assert(*result[3] == IntegerTrait::new(300, false), 'result[3] = 300'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -284,10 +284,10 @@ mod tensor_2D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(10, false), 'result[1] = 10'); - assert(*result.at(2) == IntegerTrait::new(200, false), 'result[2] = 200'); - assert(*result.at(3) == IntegerTrait::new(300, false), 'result[3] = 300'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(10, false), 'result[1] = 10'); + assert(*result[2] == IntegerTrait::new(200, false), 'result[2] = 200'); + assert(*result[3] == IntegerTrait::new(300, false), 'result[3] = 300'); } } @@ -318,10 +318,10 @@ mod tensor_2D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(1, false), 'result[0] = 1'); - assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); - assert(*result.at(2) == IntegerTrait::new(1, false), 'result[2] = 1'); - assert(*result.at(3) == IntegerTrait::new(1, false), 'result[3] = 1'); + assert(*result[0] == IntegerTrait::new(1, false), 'result[0] = 1'); + assert(*result[1] == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result[2] == IntegerTrait::new(1, false), 'result[2] = 1'); + assert(*result[3] == IntegerTrait::new(1, false), 'result[3] = 1'); } #[test] @@ -349,10 +349,10 @@ mod tensor_2D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); - assert(*result.at(1) == IntegerTrait::new(2, false), 'result[1] = 2'); - assert(*result.at(2) == IntegerTrait::new(30, false), 'result[2] = 30'); - assert(*result.at(3) == IntegerTrait::new(4, false), 'result[3] = 4'); + assert(*result[0] == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result[1] == IntegerTrait::new(2, false), 'result[1] = 2'); + assert(*result[2] == IntegerTrait::new(30, false), 'result[2] = 30'); + assert(*result[3] == IntegerTrait::new(4, false), 'result[3] = 4'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -365,10 +365,10 @@ mod tensor_2D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); - assert(*result.at(1) == IntegerTrait::new(20, false), 'result[1] = 20'); - assert(*result.at(2) == IntegerTrait::new(3, false), 'result[2] = 3'); - assert(*result.at(3) == IntegerTrait::new(4, false), 'result[3] = 4'); + assert(*result[0] == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result[1] == IntegerTrait::new(20, false), 'result[1] = 20'); + assert(*result[2] == IntegerTrait::new(3, false), 'result[2] = 3'); + assert(*result[3] == IntegerTrait::new(4, false), 'result[3] = 4'); } } } @@ -395,14 +395,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(2, false), 'result[1] = 2'); - assert(*result.at(2) == IntegerTrait::new(4, false), 'result[2] = 4'); - assert(*result.at(3) == IntegerTrait::new(6, false), 'result[3] = 6'); - assert(*result.at(4) == IntegerTrait::new(8, false), 'result[4] = 8'); - assert(*result.at(5) == IntegerTrait::new(10, false), 'result[5] = 10'); - assert(*result.at(6) == IntegerTrait::new(12, false), 'result[6] = 12'); - assert(*result.at(7) == IntegerTrait::new(14, false), 'result[7] = 14'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(2, false), 'result[1] = 2'); + assert(*result[2] == IntegerTrait::new(4, false), 'result[2] = 4'); + assert(*result[3] == IntegerTrait::new(6, false), 'result[3] = 6'); + assert(*result[4] == IntegerTrait::new(8, false), 'result[4] = 8'); + assert(*result[5] == IntegerTrait::new(10, false), 'result[5] = 10'); + assert(*result[6] == IntegerTrait::new(12, false), 'result[6] = 12'); + assert(*result[7] == IntegerTrait::new(14, false), 'result[7] = 14'); } #[test] @@ -422,14 +422,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); - assert(*result.at(1) == IntegerTrait::new(11, false), 'result[1] = 11'); - assert(*result.at(2) == IntegerTrait::new(102, false), 'result[2] = 102'); - assert(*result.at(3) == IntegerTrait::new(103, false), 'result[3] = 103'); - assert(*result.at(4) == IntegerTrait::new(14, false), 'result[4] = 14'); - assert(*result.at(5) == IntegerTrait::new(15, false), 'result[5] = 15'); - assert(*result.at(6) == IntegerTrait::new(106, false), 'result[6] = 106'); - assert(*result.at(7) == IntegerTrait::new(107, false), 'result[7] = 107'); + assert(*result[0] == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result[1] == IntegerTrait::new(11, false), 'result[1] = 11'); + assert(*result[2] == IntegerTrait::new(102, false), 'result[2] = 102'); + assert(*result[3] == IntegerTrait::new(103, false), 'result[3] = 103'); + assert(*result[4] == IntegerTrait::new(14, false), 'result[4] = 14'); + assert(*result[5] == IntegerTrait::new(15, false), 'result[5] = 15'); + assert(*result[6] == IntegerTrait::new(106, false), 'result[6] = 106'); + assert(*result[7] == IntegerTrait::new(107, false), 'result[7] = 107'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -443,14 +443,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); - assert(*result.at(1) == IntegerTrait::new(11, false), 'result[1] = 11'); - assert(*result.at(2) == IntegerTrait::new(12, false), 'result[2] = 12'); - assert(*result.at(3) == IntegerTrait::new(13, false), 'result[3] = 13'); - assert(*result.at(4) == IntegerTrait::new(104, false), 'result[4] = 104'); - assert(*result.at(5) == IntegerTrait::new(105, false), 'result[5] = 105'); - assert(*result.at(6) == IntegerTrait::new(106, false), 'result[6] = 106'); - assert(*result.at(7) == IntegerTrait::new(107, false), 'result[7] = 107'); + assert(*result[0] == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result[1] == IntegerTrait::new(11, false), 'result[1] = 11'); + assert(*result[2] == IntegerTrait::new(12, false), 'result[2] = 12'); + assert(*result[3] == IntegerTrait::new(13, false), 'result[3] = 13'); + assert(*result[4] == IntegerTrait::new(104, false), 'result[4] = 104'); + assert(*result[5] == IntegerTrait::new(105, false), 'result[5] = 105'); + assert(*result[6] == IntegerTrait::new(106, false), 'result[6] = 106'); + assert(*result[7] == IntegerTrait::new(107, false), 'result[7] = 107'); let mut sizes = ArrayTrait::new(); sizes.append(1); @@ -464,14 +464,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); - assert(*result.at(1) == IntegerTrait::new(101, false), 'result[1] = 101'); - assert(*result.at(2) == IntegerTrait::new(12, false), 'result[2] = 12'); - assert(*result.at(3) == IntegerTrait::new(103, false), 'result[3] = 103'); - assert(*result.at(4) == IntegerTrait::new(14, false), 'result[4] = 14'); - assert(*result.at(5) == IntegerTrait::new(105, false), 'result[5] = 105'); - assert(*result.at(6) == IntegerTrait::new(16, false), 'result[6] = 16'); - assert(*result.at(7) == IntegerTrait::new(107, false), 'result[7] = 107'); + assert(*result[0] == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result[1] == IntegerTrait::new(101, false), 'result[1] = 101'); + assert(*result[2] == IntegerTrait::new(12, false), 'result[2] = 12'); + assert(*result[3] == IntegerTrait::new(103, false), 'result[3] = 103'); + assert(*result[4] == IntegerTrait::new(14, false), 'result[4] = 14'); + assert(*result[5] == IntegerTrait::new(105, false), 'result[5] = 105'); + assert(*result[6] == IntegerTrait::new(16, false), 'result[6] = 16'); + assert(*result[7] == IntegerTrait::new(107, false), 'result[7] = 107'); } } @@ -493,14 +493,14 @@ mod tensor_3D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(0, false), 'result[1] = 0'); - assert(*result.at(2) == IntegerTrait::new(0, false), 'result[2] = 0'); - assert(*result.at(3) == IntegerTrait::new(0, false), 'result[3] = 0'); - assert(*result.at(4) == IntegerTrait::new(0, false), 'result[4] = 0'); - assert(*result.at(5) == IntegerTrait::new(0, false), 'result[5] = 0'); - assert(*result.at(6) == IntegerTrait::new(0, false), 'result[6] = 0'); - assert(*result.at(7) == IntegerTrait::new(0, false), 'result[7] = 0'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(0, false), 'result[1] = 0'); + assert(*result[2] == IntegerTrait::new(0, false), 'result[2] = 0'); + assert(*result[3] == IntegerTrait::new(0, false), 'result[3] = 0'); + assert(*result[4] == IntegerTrait::new(0, false), 'result[4] = 0'); + assert(*result[5] == IntegerTrait::new(0, false), 'result[5] = 0'); + assert(*result[6] == IntegerTrait::new(0, false), 'result[6] = 0'); + assert(*result[7] == IntegerTrait::new(0, false), 'result[7] = 0'); } #[test] @@ -520,14 +520,14 @@ mod tensor_3D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); - assert(*result.at(2) == IntegerTrait::new(1, false), 'result[2] = 1'); - assert(*result.at(3) == IntegerTrait::new(2, false), 'result[3] = 2'); - assert(*result.at(4) == IntegerTrait::new(4, false), 'result[4] = 4'); - assert(*result.at(5) == IntegerTrait::new(5, false), 'result[5] = 5'); - assert(*result.at(6) == IntegerTrait::new(5, false), 'result[6] = 5'); - assert(*result.at(7) == IntegerTrait::new(6, false), 'result[7] = 6'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result[2] == IntegerTrait::new(1, false), 'result[2] = 1'); + assert(*result[3] == IntegerTrait::new(2, false), 'result[3] = 2'); + assert(*result[4] == IntegerTrait::new(4, false), 'result[4] = 4'); + assert(*result[5] == IntegerTrait::new(5, false), 'result[5] = 5'); + assert(*result[6] == IntegerTrait::new(5, false), 'result[6] = 5'); + assert(*result[7] == IntegerTrait::new(6, false), 'result[7] = 6'); } } @@ -549,14 +549,14 @@ mod tensor_3D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); - assert(*result.at(2) == IntegerTrait::new(4, false), 'result[2] = 4'); - assert(*result.at(3) == IntegerTrait::new(9, false), 'result[3] = 9'); - assert(*result.at(4) == IntegerTrait::new(16, false), 'result[4] = 16'); - assert(*result.at(5) == IntegerTrait::new(25, false), 'result[5] = 25'); - assert(*result.at(6) == IntegerTrait::new(36, false), 'result[6] = 36'); - assert(*result.at(7) == IntegerTrait::new(49, false), 'result[7] = 49'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result[2] == IntegerTrait::new(4, false), 'result[2] = 4'); + assert(*result[3] == IntegerTrait::new(9, false), 'result[3] = 9'); + assert(*result[4] == IntegerTrait::new(16, false), 'result[4] = 16'); + assert(*result[5] == IntegerTrait::new(25, false), 'result[5] = 25'); + assert(*result[6] == IntegerTrait::new(36, false), 'result[6] = 36'); + assert(*result[7] == IntegerTrait::new(49, false), 'result[7] = 49'); } #[test] @@ -576,14 +576,14 @@ mod tensor_3D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(0, false), 'result[0] = 0'); - assert(*result.at(1) == IntegerTrait::new(10, false), 'result[1] = 10'); - assert(*result.at(2) == IntegerTrait::new(200, false), 'result[2] = 200'); - assert(*result.at(3) == IntegerTrait::new(300, false), 'result[3] = 300'); - assert(*result.at(4) == IntegerTrait::new(40, false), 'result[4] = 40'); - assert(*result.at(5) == IntegerTrait::new(50, false), 'result[5] = 50'); - assert(*result.at(6) == IntegerTrait::new(600, false), 'result[6] = 600'); - assert(*result.at(7) == IntegerTrait::new(700, false), 'result[7] = 700'); + assert(*result[0] == IntegerTrait::new(0, false), 'result[0] = 0'); + assert(*result[1] == IntegerTrait::new(10, false), 'result[1] = 10'); + assert(*result[2] == IntegerTrait::new(200, false), 'result[2] = 200'); + assert(*result[3] == IntegerTrait::new(300, false), 'result[3] = 300'); + assert(*result[4] == IntegerTrait::new(40, false), 'result[4] = 40'); + assert(*result[5] == IntegerTrait::new(50, false), 'result[5] = 50'); + assert(*result[6] == IntegerTrait::new(600, false), 'result[6] = 600'); + assert(*result[7] == IntegerTrait::new(700, false), 'result[7] = 700'); } } @@ -618,14 +618,14 @@ mod tensor_3D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(1, false), 'result[0] = 1'); - assert(*result.at(1) == IntegerTrait::new(1, false), 'result[1] = 1'); - assert(*result.at(2) == IntegerTrait::new(1, false), 'result[2] = 1'); - assert(*result.at(3) == IntegerTrait::new(1, false), 'result[3] = 1'); - assert(*result.at(4) == IntegerTrait::new(1, false), 'result[4] = 1'); - assert(*result.at(5) == IntegerTrait::new(1, false), 'result[5] = 1'); - assert(*result.at(6) == IntegerTrait::new(1, false), 'result[6] = 1'); - assert(*result.at(7) == IntegerTrait::new(1, false), 'result[7] = 1'); + assert(*result[0] == IntegerTrait::new(1, false), 'result[0] = 1'); + assert(*result[1] == IntegerTrait::new(1, false), 'result[1] = 1'); + assert(*result[2] == IntegerTrait::new(1, false), 'result[2] = 1'); + assert(*result[3] == IntegerTrait::new(1, false), 'result[3] = 1'); + assert(*result[4] == IntegerTrait::new(1, false), 'result[4] = 1'); + assert(*result[5] == IntegerTrait::new(1, false), 'result[5] = 1'); + assert(*result[6] == IntegerTrait::new(1, false), 'result[6] = 1'); + assert(*result[7] == IntegerTrait::new(1, false), 'result[7] = 1'); } #[test] @@ -659,14 +659,14 @@ mod tensor_3D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == IntegerTrait::new(10, false), 'result[0] = 10'); - assert(*result.at(1) == IntegerTrait::new(20, false), 'result[1] = 20'); - assert(*result.at(2) == IntegerTrait::new(3, false), 'result[2] = 3'); - assert(*result.at(3) == IntegerTrait::new(4, false), 'result[3] = 4'); - assert(*result.at(4) == IntegerTrait::new(50, false), 'result[4] = 50'); - assert(*result.at(5) == IntegerTrait::new(60, false), 'result[5] = 60'); - assert(*result.at(6) == IntegerTrait::new(7, false), 'result[6] = 7'); - assert(*result.at(7) == IntegerTrait::new(8, false), 'result[7] = 8'); + assert(*result[0] == IntegerTrait::new(10, false), 'result[0] = 10'); + assert(*result[1] == IntegerTrait::new(20, false), 'result[1] = 20'); + assert(*result[2] == IntegerTrait::new(3, false), 'result[2] = 3'); + assert(*result[3] == IntegerTrait::new(4, false), 'result[3] = 4'); + assert(*result[4] == IntegerTrait::new(50, false), 'result[4] = 50'); + assert(*result[5] == IntegerTrait::new(60, false), 'result[5] = 60'); + assert(*result[6] == IntegerTrait::new(7, false), 'result[6] = 7'); + assert(*result[7] == IntegerTrait::new(8, false), 'result[7] = 8'); } } } diff --git a/src/tests/operators/tensor/math/arithmetic/arithmetic_u32_test.cairo b/src/tests/operators/tensor/math/arithmetic/arithmetic_u32_test.cairo index b96c6fe02..487c91605 100644 --- a/src/tests/operators/tensor/math/arithmetic/arithmetic_u32_test.cairo +++ b/src/tests/operators/tensor/math/arithmetic/arithmetic_u32_test.cairo @@ -18,9 +18,9 @@ mod tensor_1D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == 0_u32, 'result[0] = 0'); - assert(*result.at(1) == 2_u32, 'result[1] = 2'); - assert(*result.at(2) == 4_u32, 'result[2] = 4'); + assert(*result[0] == 0_u32, 'result[0] = 0'); + assert(*result[1] == 2_u32, 'result[1] = 2'); + assert(*result[2] == 4_u32, 'result[2] = 4'); } } @@ -40,9 +40,9 @@ mod tensor_1D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == 0_u32, 'result[0] = 0'); - assert(*result.at(1) == 0_u32, 'result[1] = 0'); - assert(*result.at(2) == 0_u32, 'result[2] = 0'); + assert(*result[0] == 0_u32, 'result[0] = 0'); + assert(*result[1] == 0_u32, 'result[1] = 0'); + assert(*result[2] == 0_u32, 'result[2] = 0'); } } @@ -62,9 +62,9 @@ mod tensor_1D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == 0_u32, 'result[0] = 0'); - assert(*result.at(1) == 1_u32, 'result[1] = 1'); - assert(*result.at(2) == 4_u32, 'result[2] = 4'); + assert(*result[0] == 0_u32, 'result[0] = 0'); + assert(*result[1] == 1_u32, 'result[1] = 1'); + assert(*result[2] == 4_u32, 'result[2] = 4'); } } @@ -91,8 +91,8 @@ mod tensor_1D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == 1, 'result[0] = 1'); - assert(*result.at(1) == 1, 'result[1] = 1'); + assert(*result[0] == 1, 'result[0] = 1'); + assert(*result[1] == 1, 'result[1] = 1'); } } } @@ -118,10 +118,10 @@ mod tensor_2D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 2, 'result[1] = 2'); - assert(*result.at(2) == 4, 'result[2] = 4'); - assert(*result.at(3) == 6, 'result[3] = 6'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 2, 'result[1] = 2'); + assert(*result[2] == 4, 'result[2] = 4'); + assert(*result[3] == 6, 'result[3] = 6'); } #[test] @@ -139,10 +139,10 @@ mod tensor_2D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == 10, 'result[0] = 10'); - assert(*result.at(1) == 101, 'result[1] = 101'); - assert(*result.at(2) == 12, 'result[2] = 12'); - assert(*result.at(3) == 103, 'result[3] = 103'); + assert(*result[0] == 10, 'result[0] = 10'); + assert(*result[1] == 101, 'result[1] = 101'); + assert(*result[2] == 12, 'result[2] = 12'); + assert(*result[3] == 103, 'result[3] = 103'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -155,10 +155,10 @@ mod tensor_2D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == 10, 'result[0] = 10'); - assert(*result.at(1) == 11, 'result[1] = 11'); - assert(*result.at(2) == 102, 'result[2] = 102'); - assert(*result.at(3) == 103, 'result[3] = 103'); + assert(*result[0] == 10, 'result[0] = 10'); + assert(*result[1] == 11, 'result[1] = 11'); + assert(*result[2] == 102, 'result[2] = 102'); + assert(*result[3] == 103, 'result[3] = 103'); } } @@ -179,10 +179,10 @@ mod tensor_2D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 0, 'result[1] = 0'); - assert(*result.at(2) == 0, 'result[2] = 0'); - assert(*result.at(3) == 0, 'result[3] = 0'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 0, 'result[1] = 0'); + assert(*result[2] == 0, 'result[2] = 0'); + assert(*result[3] == 0, 'result[3] = 0'); } #[test] @@ -200,10 +200,10 @@ mod tensor_2D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 0, 'result[1] = 0'); - assert(*result.at(2) == 2, 'result[2] = 2'); - assert(*result.at(3) == 2, 'result[3] = 2'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 0, 'result[1] = 0'); + assert(*result[2] == 2, 'result[2] = 2'); + assert(*result[3] == 2, 'result[3] = 2'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -216,10 +216,10 @@ mod tensor_2D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 1, 'result[1] = 1'); - assert(*result.at(2) == 1, 'result[2] = 1'); - assert(*result.at(3) == 2, 'result[3] = 2'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 1, 'result[1] = 1'); + assert(*result[2] == 1, 'result[2] = 1'); + assert(*result[3] == 2, 'result[3] = 2'); } } @@ -240,10 +240,10 @@ mod tensor_2D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 1, 'result[1] = 1'); - assert(*result.at(2) == 4, 'result[2] = 4'); - assert(*result.at(3) == 9, 'result[3] = 9'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 1, 'result[1] = 1'); + assert(*result[2] == 4, 'result[2] = 4'); + assert(*result[3] == 9, 'result[3] = 9'); } #[test] @@ -261,10 +261,10 @@ mod tensor_2D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 100, 'result[1] = 100'); - assert(*result.at(2) == 20, 'result[2] = 20'); - assert(*result.at(3) == 300, 'result[3] = 300'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 100, 'result[1] = 100'); + assert(*result[2] == 20, 'result[2] = 20'); + assert(*result[3] == 300, 'result[3] = 300'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -277,10 +277,10 @@ mod tensor_2D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 10, 'result[1] = 10'); - assert(*result.at(2) == 200, 'result[2] = 200'); - assert(*result.at(3) == 300, 'result[3] = 300'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 10, 'result[1] = 10'); + assert(*result[2] == 200, 'result[2] = 200'); + assert(*result[3] == 300, 'result[3] = 300'); } } @@ -310,10 +310,10 @@ mod tensor_2D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == 1, 'result[0] = 1'); - assert(*result.at(1) == 1, 'result[1] = 1'); - assert(*result.at(2) == 1, 'result[2] = 1'); - assert(*result.at(3) == 1, 'result[3] = 1'); + assert(*result[0] == 1, 'result[0] = 1'); + assert(*result[1] == 1, 'result[1] = 1'); + assert(*result[2] == 1, 'result[2] = 1'); + assert(*result[3] == 1, 'result[3] = 1'); } #[test] @@ -341,10 +341,10 @@ mod tensor_2D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == 10, 'result[0] = 10'); - assert(*result.at(1) == 2, 'result[1] = 2'); - assert(*result.at(2) == 30, 'result[2] = 30'); - assert(*result.at(3) == 4, 'result[3] = 4'); + assert(*result[0] == 10, 'result[0] = 10'); + assert(*result[1] == 2, 'result[1] = 2'); + assert(*result[2] == 30, 'result[2] = 30'); + assert(*result[3] == 4, 'result[3] = 4'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -357,10 +357,10 @@ mod tensor_2D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == 10, 'result[0] = 10'); - assert(*result.at(1) == 20, 'result[1] = 20'); - assert(*result.at(2) == 3, 'result[2] = 3'); - assert(*result.at(3) == 4, 'result[3] = 4'); + assert(*result[0] == 10, 'result[0] = 10'); + assert(*result[1] == 20, 'result[1] = 20'); + assert(*result[2] == 3, 'result[2] = 3'); + assert(*result[3] == 4, 'result[3] = 4'); } } } @@ -386,14 +386,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 2, 'result[1] = 2'); - assert(*result.at(2) == 4, 'result[2] = 4'); - assert(*result.at(3) == 6, 'result[3] = 6'); - assert(*result.at(4) == 8, 'result[4] = 8'); - assert(*result.at(5) == 10, 'result[5] = 10'); - assert(*result.at(6) == 12, 'result[6] = 12'); - assert(*result.at(7) == 14, 'result[7] = 14'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 2, 'result[1] = 2'); + assert(*result[2] == 4, 'result[2] = 4'); + assert(*result[3] == 6, 'result[3] = 6'); + assert(*result[4] == 8, 'result[4] = 8'); + assert(*result[5] == 10, 'result[5] = 10'); + assert(*result[6] == 12, 'result[6] = 12'); + assert(*result[7] == 14, 'result[7] = 14'); } #[test] @@ -413,14 +413,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == 10, 'result[0] = 10'); - assert(*result.at(1) == 11, 'result[1] = 11'); - assert(*result.at(2) == 102, 'result[2] = 102'); - assert(*result.at(3) == 103, 'result[3] = 103'); - assert(*result.at(4) == 14, 'result[4] = 14'); - assert(*result.at(5) == 15, 'result[5] = 15'); - assert(*result.at(6) == 106, 'result[6] = 106'); - assert(*result.at(7) == 107, 'result[7] = 107'); + assert(*result[0] == 10, 'result[0] = 10'); + assert(*result[1] == 11, 'result[1] = 11'); + assert(*result[2] == 102, 'result[2] = 102'); + assert(*result[3] == 103, 'result[3] = 103'); + assert(*result[4] == 14, 'result[4] = 14'); + assert(*result[5] == 15, 'result[5] = 15'); + assert(*result[6] == 106, 'result[6] = 106'); + assert(*result[7] == 107, 'result[7] = 107'); let mut sizes = ArrayTrait::new(); sizes.append(2); @@ -434,14 +434,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == 10, 'result[0] = 10'); - assert(*result.at(1) == 11, 'result[1] = 11'); - assert(*result.at(2) == 12, 'result[2] = 12'); - assert(*result.at(3) == 13, 'result[3] = 13'); - assert(*result.at(4) == 104, 'result[4] = 104'); - assert(*result.at(5) == 105, 'result[5] = 105'); - assert(*result.at(6) == 106, 'result[6] = 106'); - assert(*result.at(7) == 107, 'result[7] = 107'); + assert(*result[0] == 10, 'result[0] = 10'); + assert(*result[1] == 11, 'result[1] = 11'); + assert(*result[2] == 12, 'result[2] = 12'); + assert(*result[3] == 13, 'result[3] = 13'); + assert(*result[4] == 104, 'result[4] = 104'); + assert(*result[5] == 105, 'result[5] = 105'); + assert(*result[6] == 106, 'result[6] = 106'); + assert(*result[7] == 107, 'result[7] = 107'); let mut sizes = ArrayTrait::new(); sizes.append(1); @@ -455,14 +455,14 @@ mod tensor_3D { let result = (tensor_1 + tensor_2).data; - assert(*result.at(0) == 10, 'result[0] = 10'); - assert(*result.at(1) == 101, 'result[1] = 101'); - assert(*result.at(2) == 12, 'result[2] = 12'); - assert(*result.at(3) == 103, 'result[3] = 103'); - assert(*result.at(4) == 14, 'result[4] = 14'); - assert(*result.at(5) == 105, 'result[5] = 105'); - assert(*result.at(6) == 16, 'result[6] = 16'); - assert(*result.at(7) == 107, 'result[7] = 107'); + assert(*result[0] == 10, 'result[0] = 10'); + assert(*result[1] == 101, 'result[1] = 101'); + assert(*result[2] == 12, 'result[2] = 12'); + assert(*result[3] == 103, 'result[3] = 103'); + assert(*result[4] == 14, 'result[4] = 14'); + assert(*result[5] == 105, 'result[5] = 105'); + assert(*result[6] == 16, 'result[6] = 16'); + assert(*result[7] == 107, 'result[7] = 107'); } } @@ -483,14 +483,14 @@ mod tensor_3D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 0, 'result[1] = 0'); - assert(*result.at(2) == 0, 'result[2] = 0'); - assert(*result.at(3) == 0, 'result[3] = 0'); - assert(*result.at(4) == 0, 'result[4] = 0'); - assert(*result.at(5) == 0, 'result[5] = 0'); - assert(*result.at(6) == 0, 'result[6] = 0'); - assert(*result.at(7) == 0, 'result[7] = 0'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 0, 'result[1] = 0'); + assert(*result[2] == 0, 'result[2] = 0'); + assert(*result[3] == 0, 'result[3] = 0'); + assert(*result[4] == 0, 'result[4] = 0'); + assert(*result[5] == 0, 'result[5] = 0'); + assert(*result[6] == 0, 'result[6] = 0'); + assert(*result[7] == 0, 'result[7] = 0'); } #[test] @@ -510,14 +510,14 @@ mod tensor_3D { let result = (tensor_1 - tensor_2).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 1, 'result[1] = 1'); - assert(*result.at(2) == 1, 'result[2] = 1'); - assert(*result.at(3) == 2, 'result[3] = 2'); - assert(*result.at(4) == 4, 'result[4] = 4'); - assert(*result.at(5) == 5, 'result[5] = 5'); - assert(*result.at(6) == 5, 'result[6] = 5'); - assert(*result.at(7) == 6, 'result[7] = 6'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 1, 'result[1] = 1'); + assert(*result[2] == 1, 'result[2] = 1'); + assert(*result[3] == 2, 'result[3] = 2'); + assert(*result[4] == 4, 'result[4] = 4'); + assert(*result[5] == 5, 'result[5] = 5'); + assert(*result[6] == 5, 'result[6] = 5'); + assert(*result[7] == 6, 'result[7] = 6'); } } @@ -538,14 +538,14 @@ mod tensor_3D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 1, 'result[1] = 1'); - assert(*result.at(2) == 4, 'result[2] = 4'); - assert(*result.at(3) == 9, 'result[3] = 9'); - assert(*result.at(4) == 16, 'result[4] = 16'); - assert(*result.at(5) == 25, 'result[5] = 25'); - assert(*result.at(6) == 36, 'result[6] = 36'); - assert(*result.at(7) == 49, 'result[7] = 49'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 1, 'result[1] = 1'); + assert(*result[2] == 4, 'result[2] = 4'); + assert(*result[3] == 9, 'result[3] = 9'); + assert(*result[4] == 16, 'result[4] = 16'); + assert(*result[5] == 25, 'result[5] = 25'); + assert(*result[6] == 36, 'result[6] = 36'); + assert(*result[7] == 49, 'result[7] = 49'); } #[test] @@ -565,14 +565,14 @@ mod tensor_3D { let result = (tensor_1 * tensor_2).data; - assert(*result.at(0) == 0, 'result[0] = 0'); - assert(*result.at(1) == 10, 'result[1] = 10'); - assert(*result.at(2) == 200, 'result[2] = 200'); - assert(*result.at(3) == 300, 'result[3] = 300'); - assert(*result.at(4) == 40, 'result[4] = 40'); - assert(*result.at(5) == 50, 'result[5] = 50'); - assert(*result.at(6) == 600, 'result[6] = 600'); - assert(*result.at(7) == 700, 'result[7] = 700'); + assert(*result[0] == 0, 'result[0] = 0'); + assert(*result[1] == 10, 'result[1] = 10'); + assert(*result[2] == 200, 'result[2] = 200'); + assert(*result[3] == 300, 'result[3] = 300'); + assert(*result[4] == 40, 'result[4] = 40'); + assert(*result[5] == 50, 'result[5] = 50'); + assert(*result[6] == 600, 'result[6] = 600'); + assert(*result[7] == 700, 'result[7] = 700'); } } @@ -606,14 +606,14 @@ mod tensor_3D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == 1, 'result[0] = 1'); - assert(*result.at(1) == 1, 'result[1] = 1'); - assert(*result.at(2) == 1, 'result[2] = 1'); - assert(*result.at(3) == 1, 'result[3] = 1'); - assert(*result.at(4) == 1, 'result[4] = 1'); - assert(*result.at(5) == 1, 'result[5] = 1'); - assert(*result.at(6) == 1, 'result[6] = 1'); - assert(*result.at(7) == 1, 'result[7] = 1'); + assert(*result[0] == 1, 'result[0] = 1'); + assert(*result[1] == 1, 'result[1] = 1'); + assert(*result[2] == 1, 'result[2] = 1'); + assert(*result[3] == 1, 'result[3] = 1'); + assert(*result[4] == 1, 'result[4] = 1'); + assert(*result[5] == 1, 'result[5] = 1'); + assert(*result[6] == 1, 'result[6] = 1'); + assert(*result[7] == 1, 'result[7] = 1'); } #[test] @@ -647,14 +647,14 @@ mod tensor_3D { let result = (tensor_1 / tensor_2).data; - assert(*result.at(0) == 10, 'result[0] = 10'); - assert(*result.at(1) == 20, 'result[1] = 20'); - assert(*result.at(2) == 3, 'result[2] = 3'); - assert(*result.at(3) == 4, 'result[3] = 4'); - assert(*result.at(4) == 50, 'result[4] = 50'); - assert(*result.at(5) == 60, 'result[5] = 60'); - assert(*result.at(6) == 7, 'result[6] = 7'); - assert(*result.at(7) == 8, 'result[7] = 8'); + assert(*result[0] == 10, 'result[0] = 10'); + assert(*result[1] == 20, 'result[1] = 20'); + assert(*result[2] == 3, 'result[2] = 3'); + assert(*result[3] == 4, 'result[3] = 4'); + assert(*result[4] == 50, 'result[4] = 50'); + assert(*result[5] == 60, 'result[5] = 60'); + assert(*result[6] == 7, 'result[6] = 7'); + assert(*result[7] == 8, 'result[7] = 8'); } } } diff --git a/src/tests/operators/tensor/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo b/src/tests/operators/tensor/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo index 2def81007..ab3bfe437 100644 --- a/src/tests/operators/tensor/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo +++ b/src/tests/operators/tensor/math/ceil/ceil_fp_test/ceil_fp16x16_test.cairo @@ -23,10 +23,10 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data[2] == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data[3] == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); } } @@ -58,10 +58,10 @@ mod tensor_2D { let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data[2] == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data[3] == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); } } @@ -100,14 +100,14 @@ mod tensor_3D { let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); - assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); - assert(*result.data.at(7) == FixedTrait::new_unscaled(1, true), 'result[7] = -1'); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result.data[3] == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); + assert(*result.data[4] == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result.data[5] == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); + assert(*result.data[6] == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); + assert(*result.data[7] == FixedTrait::new_unscaled(1, true), 'result[7] = -1'); assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); } } diff --git a/src/tests/operators/tensor/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo b/src/tests/operators/tensor/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo index 935bd0702..019440556 100644 --- a/src/tests/operators/tensor/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo +++ b/src/tests/operators/tensor/math/ceil/ceil_fp_test/ceil_fp8x23_test.cairo @@ -23,10 +23,10 @@ mod tensor_1D { let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data[2] == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data[3] == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); } } @@ -57,10 +57,10 @@ mod tensor_2D { let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); // 1 + assert(*result.data[2] == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); // 12 + assert(*result.data[3] == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); // -11 assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); } } @@ -99,14 +99,14 @@ mod tensor_3D { let tensor = TensorTrait::::new(sizes.span(), arr.span(), Option::Some(extra)); let result = tensor.ceil(); - assert(*result.data.at(0) == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); - assert(*result.data.at(1) == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); - assert(*result.data.at(2) == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); - assert(*result.data.at(3) == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); - assert(*result.data.at(4) == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); - assert(*result.data.at(5) == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); - assert(*result.data.at(6) == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); - assert(*result.data.at(7) == FixedTrait::new_unscaled(1, true), 'result[7] = -1'); + assert(*result.data[0] == FixedTrait::new_unscaled(0, false), 'result[0] = 0'); + assert(*result.data[1] == FixedTrait::new_unscaled(1, false), 'result[1] = 1'); + assert(*result.data[2] == FixedTrait::new_unscaled(12, false), 'result[2] = 12'); + assert(*result.data[3] == FixedTrait::new_unscaled(11, true), 'result[3] = -11'); + assert(*result.data[4] == FixedTrait::new_unscaled(1, false), 'result[4] = 1'); + assert(*result.data[5] == FixedTrait::new_unscaled(0, false), 'result[5] = 0'); + assert(*result.data[6] == FixedTrait::new_unscaled(2, false), 'result[6] = 2'); + assert(*result.data[7] == FixedTrait::new_unscaled(1, true), 'result[7] = -1'); assert(result.data.len() == tensor.data.len(), 'tensor length mismatch'); } } diff --git a/src/tests/operators/tensor/math/equal/equal_fp_test/equal_fp16x16_test.cairo b/src/tests/operators/tensor/math/equal/equal_fp_test/equal_fp16x16_test.cairo index f5de9ca26..738e6cf1f 100644 --- a/src/tests/operators/tensor/math/equal/equal_fp_test/equal_fp16x16_test.cairo +++ b/src/tests/operators/tensor/math/equal/equal_fp_test/equal_fp16x16_test.cairo @@ -33,9 +33,9 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 1, 'result[2] = 1'); assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -88,15 +88,15 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); - assert(*result.data.at(8) == 0, 'result[8] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); + assert(*result.data[4] == 1, 'result[4] = 1'); + assert(*result.data[5] == 1, 'result[5] = 1'); + assert(*result.data[6] == 0, 'result[6] = 0'); + assert(*result.data[7] == 0, 'result[7] = 0'); + assert(*result.data[8] == 0, 'result[8] = 0'); assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -137,33 +137,33 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); + assert(*result_a.data[9] == 0, 'result[9] = 0'); + assert(*result_a.data[10] == 0, 'result[10] = 0'); + assert(*result_a.data[11] == 0, 'result[11] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); + assert(*result_b.data[8] == 0, 'result[8] = 0'); + assert(*result_b.data[9] == 0, 'result[9] = 0'); + assert(*result_b.data[10] == 0, 'result[10] = 0'); + assert(*result_b.data[11] == 0, 'result[11] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } } @@ -214,14 +214,14 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); + assert(*result.data[4] == 1, 'result[4] = 1'); + assert(*result.data[5] == 1, 'result[5] = 1'); + assert(*result.data[6] == 0, 'result[6] = 0'); + assert(*result.data[7] == 0, 'result[7] = 0'); assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -259,25 +259,25 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 1'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } } diff --git a/src/tests/operators/tensor/math/equal/equal_fp_test/equal_fp8x23_test.cairo b/src/tests/operators/tensor/math/equal/equal_fp_test/equal_fp8x23_test.cairo index a824347c7..1ed18e5f3 100644 --- a/src/tests/operators/tensor/math/equal/equal_fp_test/equal_fp8x23_test.cairo +++ b/src/tests/operators/tensor/math/equal/equal_fp_test/equal_fp8x23_test.cairo @@ -36,9 +36,9 @@ mod tensor_1D { ); let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 1, 'result[2] = 1'); assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -97,15 +97,15 @@ mod tensor_2D { ); let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); - assert(*result.data.at(8) == 0, 'result[8] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); + assert(*result.data[4] == 1, 'result[4] = 1'); + assert(*result.data[5] == 1, 'result[5] = 1'); + assert(*result.data[6] == 0, 'result[6] = 0'); + assert(*result.data[7] == 0, 'result[7] = 0'); + assert(*result.data[8] == 0, 'result[8] = 0'); assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -150,33 +150,33 @@ mod tensor_2D { ); let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); + assert(*result_a.data[9] == 0, 'result[9] = 0'); + assert(*result_a.data[10] == 0, 'result[10] = 0'); + assert(*result_a.data[11] == 0, 'result[11] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); + assert(*result_b.data[8] == 0, 'result[8] = 0'); + assert(*result_b.data[9] == 0, 'result[9] = 0'); + assert(*result_b.data[10] == 0, 'result[10] = 0'); + assert(*result_b.data[11] == 0, 'result[11] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } } @@ -231,14 +231,14 @@ mod tensor_3D { ); let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); + assert(*result.data[4] == 1, 'result[4] = 1'); + assert(*result.data[5] == 1, 'result[5] = 1'); + assert(*result.data[6] == 0, 'result[6] = 0'); + assert(*result.data[7] == 0, 'result[7] = 0'); assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -280,25 +280,25 @@ mod tensor_3D { ); let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 1'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } } diff --git a/src/tests/operators/tensor/math/equal/equal_i32_test.cairo b/src/tests/operators/tensor/math/equal/equal_i32_test.cairo index ce62fcf89..0f986ca08 100644 --- a/src/tests/operators/tensor/math/equal/equal_i32_test.cairo +++ b/src/tests/operators/tensor/math/equal/equal_i32_test.cairo @@ -31,9 +31,9 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 1, 'result[2] = 1'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 1, 'result[2] = 1'); assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -85,15 +85,15 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); - assert(*result.data.at(8) == 0, 'result[8] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); + assert(*result.data[4] == 1, 'result[4] = 1'); + assert(*result.data[5] == 1, 'result[5] = 1'); + assert(*result.data[6] == 0, 'result[6] = 0'); + assert(*result.data[7] == 0, 'result[7] = 0'); + assert(*result.data[8] == 0, 'result[8] = 0'); assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -134,33 +134,33 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); + assert(*result_a.data[9] == 0, 'result[9] = 0'); + assert(*result_a.data[10] == 0, 'result[10] = 0'); + assert(*result_a.data[11] == 0, 'result[11] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); + assert(*result_b.data[8] == 0, 'result[8] = 0'); + assert(*result_b.data[9] == 0, 'result[9] = 0'); + assert(*result_b.data[10] == 0, 'result[10] = 0'); + assert(*result_b.data[11] == 0, 'result[11] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } } @@ -210,14 +210,14 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); + assert(*result.data[4] == 1, 'result[4] = 1'); + assert(*result.data[5] == 1, 'result[5] = 1'); + assert(*result.data[6] == 0, 'result[6] = 0'); + assert(*result.data[7] == 0, 'result[7] = 0'); assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -255,25 +255,25 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 1'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } } diff --git a/src/tests/operators/tensor/math/equal/equal_u32_test.cairo b/src/tests/operators/tensor/math/equal/equal_u32_test.cairo index 88afbd0a5..1d3150489 100644 --- a/src/tests/operators/tensor/math/equal/equal_u32_test.cairo +++ b/src/tests/operators/tensor/math/equal/equal_u32_test.cairo @@ -82,15 +82,15 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); - assert(*result.data.at(8) == 0, 'result[8] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); + assert(*result.data[4] == 1, 'result[4] = 1'); + assert(*result.data[5] == 1, 'result[5] = 1'); + assert(*result.data[6] == 0, 'result[6] = 0'); + assert(*result.data[7] == 0, 'result[7] = 0'); + assert(*result.data[8] == 0, 'result[8] = 0'); assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -131,33 +131,33 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); + assert(*result_a.data[9] == 0, 'result[9] = 0'); + assert(*result_a.data[10] == 0, 'result[10] = 0'); + assert(*result_a.data[11] == 0, 'result[11] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); + assert(*result_b.data[8] == 0, 'result[8] = 0'); + assert(*result_b.data[9] == 0, 'result[9] = 0'); + assert(*result_b.data[10] == 0, 'result[10] = 0'); + assert(*result_b.data[11] == 0, 'result[11] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } } @@ -206,14 +206,14 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result = tensor_a.eq(@tensor_b); - assert(*result.data.at(0) == 0, 'result[0] = 0'); - assert(*result.data.at(1) == 0, 'result[1] = 0'); - assert(*result.data.at(2) == 0, 'result[2] = 0'); - assert(*result.data.at(3) == 0, 'result[3] = 0'); - assert(*result.data.at(4) == 1, 'result[4] = 1'); - assert(*result.data.at(5) == 1, 'result[5] = 1'); - assert(*result.data.at(6) == 0, 'result[6] = 0'); - assert(*result.data.at(7) == 0, 'result[7] = 0'); + assert(*result.data[0] == 0, 'result[0] = 0'); + assert(*result.data[1] == 0, 'result[1] = 0'); + assert(*result.data[2] == 0, 'result[2] = 0'); + assert(*result.data[3] == 0, 'result[3] = 0'); + assert(*result.data[4] == 1, 'result[4] = 1'); + assert(*result.data[5] == 1, 'result[5] = 1'); + assert(*result.data[6] == 0, 'result[6] = 0'); + assert(*result.data[7] == 0, 'result[7] = 0'); assert(result.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -251,25 +251,25 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.eq(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.eq(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } } diff --git a/src/tests/operators/tensor/math/greater/greater_fp_test/greater_fp16x16_test.cairo b/src/tests/operators/tensor/math/greater/greater_fp_test/greater_fp16x16_test.cairo index 8556ec9e7..149769b73 100644 --- a/src/tests/operators/tensor/math/greater/greater_fp_test/greater_fp16x16_test.cairo +++ b/src/tests/operators/tensor/math/greater/greater_fp_test/greater_fp16x16_test.cairo @@ -32,9 +32,9 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -87,28 +87,28 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -149,34 +149,34 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); + assert(*result_a.data[9] == 0, 'result[9] = 0'); + assert(*result_a.data[10] == 0, 'result[10] = 0'); + assert(*result_a.data[11] == 0, 'result[11] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); + assert(*result_b.data[9] == 1, 'result[9] = 1'); + assert(*result_b.data[10] == 1, 'result[10] = 1'); + assert(*result_b.data[11] == 1, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -229,26 +229,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -286,26 +286,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 0'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 1, 'result[2] = 0'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/greater/greater_fp_test/greater_fp8x23_test.cairo b/src/tests/operators/tensor/math/greater/greater_fp_test/greater_fp8x23_test.cairo index 4cdead3dd..a4b3dc462 100644 --- a/src/tests/operators/tensor/math/greater/greater_fp_test/greater_fp8x23_test.cairo +++ b/src/tests/operators/tensor/math/greater/greater_fp_test/greater_fp8x23_test.cairo @@ -32,9 +32,9 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -88,28 +88,28 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -150,34 +150,34 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); + assert(*result_a.data[9] == 0, 'result[9] = 0'); + assert(*result_a.data[10] == 0, 'result[10] = 0'); + assert(*result_a.data[11] == 0, 'result[11] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); + assert(*result_b.data[9] == 1, 'result[9] = 1'); + assert(*result_b.data[10] == 1, 'result[10] = 1'); + assert(*result_b.data[11] == 1, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -230,26 +230,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -287,26 +287,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 0'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 1, 'result[2] = 0'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/greater/greater_i32_test.cairo b/src/tests/operators/tensor/math/greater/greater_i32_test.cairo index 2dc3fd5aa..854d8cee4 100644 --- a/src/tests/operators/tensor/math/greater/greater_i32_test.cairo +++ b/src/tests/operators/tensor/math/greater/greater_i32_test.cairo @@ -31,9 +31,9 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -87,28 +87,28 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -149,34 +149,34 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); + assert(*result_a.data[9] == 0, 'result[9] = 0'); + assert(*result_a.data[10] == 0, 'result[10] = 0'); + assert(*result_a.data[11] == 0, 'result[11] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); + assert(*result_b.data[9] == 1, 'result[9] = 1'); + assert(*result_b.data[10] == 1, 'result[10] = 1'); + assert(*result_b.data[11] == 1, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -228,26 +228,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -285,26 +285,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/greater/greater_u32_test.cairo b/src/tests/operators/tensor/math/greater/greater_u32_test.cairo index add8a5bf4..d7a456ee8 100644 --- a/src/tests/operators/tensor/math/greater/greater_u32_test.cairo +++ b/src/tests/operators/tensor/math/greater/greater_u32_test.cairo @@ -29,16 +29,16 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -89,28 +89,28 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -151,34 +151,34 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); + assert(*result_a.data[9] == 0, 'result[9] = 0'); + assert(*result_a.data[10] == 0, 'result[10] = 0'); + assert(*result_a.data[11] == 0, 'result[11] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); + assert(*result_b.data[9] == 1, 'result[9] = 1'); + assert(*result_b.data[10] == 1, 'result[10] = 1'); + assert(*result_b.data[11] == 1, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -227,26 +227,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -284,25 +284,25 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.greater(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/greater_equal/greater_equal_fp_test/greater_equal_fp16x16_test.cairo b/src/tests/operators/tensor/math/greater_equal/greater_equal_fp_test/greater_equal_fp16x16_test.cairo index ccb842082..d5db639a3 100644 --- a/src/tests/operators/tensor/math/greater_equal/greater_equal_fp_test/greater_equal_fp16x16_test.cairo +++ b/src/tests/operators/tensor/math/greater_equal/greater_equal_fp_test/greater_equal_fp16x16_test.cairo @@ -33,9 +33,9 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -91,28 +91,28 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater_equal(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -153,34 +153,34 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.greater_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); + assert(*result_a.data[9] == 0, 'result[9] = 0'); + assert(*result_a.data[10] == 0, 'result[10] = 0'); + assert(*result_a.data[11] == 0, 'result[11] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); + assert(*result_b.data[9] == 1, 'result[9] = 1'); + assert(*result_b.data[10] == 1, 'result[10] = 1'); + assert(*result_b.data[11] == 1, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -234,26 +234,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater_equal(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -291,26 +291,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.greater_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo b/src/tests/operators/tensor/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo index f51426d7f..25c7bad71 100644 --- a/src/tests/operators/tensor/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo +++ b/src/tests/operators/tensor/math/greater_equal/greater_equal_fp_test/greater_equal_fp8x23_test.cairo @@ -37,9 +37,9 @@ mod tensor_1D { ); let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -99,28 +99,28 @@ mod tensor_2D { ); let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater_equal(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -165,34 +165,34 @@ mod tensor_2D { ); let result_a = tensor_b.greater_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); + assert(*result_a.data[9] == 0, 'result[9] = 0'); + assert(*result_a.data[10] == 0, 'result[10] = 0'); + assert(*result_a.data[11] == 0, 'result[11] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); + assert(*result_b.data[9] == 1, 'result[9] = 1'); + assert(*result_b.data[10] == 1, 'result[10] = 1'); + assert(*result_b.data[11] == 1, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -250,26 +250,26 @@ mod tensor_3D { ); let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater_equal(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -311,26 +311,26 @@ mod tensor_3D { ); let result_a = tensor_b.greater_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/greater_equal/greater_equal_i32_test.cairo b/src/tests/operators/tensor/math/greater_equal/greater_equal_i32_test.cairo index 4039e559e..866a28981 100644 --- a/src/tests/operators/tensor/math/greater_equal/greater_equal_i32_test.cairo +++ b/src/tests/operators/tensor/math/greater_equal/greater_equal_i32_test.cairo @@ -31,9 +31,9 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -87,28 +87,28 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater_equal(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -149,34 +149,34 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.greater_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); + assert(*result_a.data[9] == 0, 'result[9] = 0'); + assert(*result_a.data[10] == 0, 'result[10] = 0'); + assert(*result_a.data[11] == 0, 'result[11] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); + assert(*result_b.data[9] == 1, 'result[9] = 1'); + assert(*result_b.data[10] == 1, 'result[10] = 1'); + assert(*result_b.data[11] == 1, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -228,26 +228,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater_equal(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -285,26 +285,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.greater_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/greater_equal/greater_equal_u32_test.cairo b/src/tests/operators/tensor/math/greater_equal/greater_equal_u32_test.cairo index 80ef9ec8d..4104fdd9b 100644 --- a/src/tests/operators/tensor/math/greater_equal/greater_equal_u32_test.cairo +++ b/src/tests/operators/tensor/math/greater_equal/greater_equal_u32_test.cairo @@ -29,16 +29,16 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater_equal(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -89,28 +89,28 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater_equal(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -151,34 +151,34 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.greater_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); - assert(*result_a.data.at(8) == 0, 'result[8] = 0'); - assert(*result_a.data.at(9) == 0, 'result[9] = 0'); - assert(*result_a.data.at(10) == 0, 'result[10] = 0'); - assert(*result_a.data.at(11) == 0, 'result[11] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); + assert(*result_a.data[8] == 0, 'result[8] = 0'); + assert(*result_a.data[9] == 0, 'result[9] = 0'); + assert(*result_a.data[10] == 0, 'result[10] = 0'); + assert(*result_a.data[11] == 0, 'result[11] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); - assert(*result_b.data.at(8) == 1, 'result[8] = 1'); - assert(*result_b.data.at(9) == 1, 'result[9] = 1'); - assert(*result_b.data.at(10) == 1, 'result[10] = 1'); - assert(*result_b.data.at(11) == 1, 'result[11] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); + assert(*result_b.data[8] == 1, 'result[8] = 1'); + assert(*result_b.data[9] == 1, 'result[9] = 1'); + assert(*result_b.data[10] == 1, 'result[10] = 1'); + assert(*result_b.data[11] == 1, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -227,26 +227,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.greater_equal(@tensor_b); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.greater_equal(@tensor_a); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); - assert(*result_b.data.at(7) == 1, 'result[7] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); + assert(*result_b.data[7] == 1, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -284,25 +284,25 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.greater_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 0, 'result[3] = 0'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 0, 'result[6] = 0'); - assert(*result_a.data.at(7) == 0, 'result[7] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 0, 'result[3] = 0'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 0, 'result[6] = 0'); + assert(*result_a.data[7] == 0, 'result[7] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.greater_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 1, 'result[6] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 1, 'result[6] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/less/less_fp_test/less_fp16x16_test.cairo b/src/tests/operators/tensor/math/less/less_fp_test/less_fp16x16_test.cairo index 7d3237018..867a1aca2 100644 --- a/src/tests/operators/tensor/math/less/less_fp_test/less_fp16x16_test.cairo +++ b/src/tests/operators/tensor/math/less/less_fp_test/less_fp16x16_test.cairo @@ -32,9 +32,9 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -88,28 +88,28 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 1'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 1'); - assert(*result_b.data.at(1) == 0, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); - assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 1'); + assert(*result_b.data[1] == 0, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); + assert(*result_b.data[8] == 0, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -150,34 +150,34 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.less(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - assert(*result_a.data.at(9) == 1, 'result[9] = 1'); - assert(*result_a.data.at(10) == 1, 'result[10] = 1'); - assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); + assert(*result_a.data[9] == 1, 'result[9] = 1'); + assert(*result_a.data[10] == 1, 'result[10] = 1'); + assert(*result_a.data[11] == 1, 'result[11] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 1'); - assert(*result_b.data.at(5) == 0, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); - assert(*result_b.data.at(8) == 0, 'result[8] = 1'); - assert(*result_b.data.at(9) == 0, 'result[9] = 1'); - assert(*result_b.data.at(10) == 0, 'result[10] = 1'); - assert(*result_b.data.at(11) == 0, 'result[11] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 1'); + assert(*result_b.data[5] == 0, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); + assert(*result_b.data[8] == 0, 'result[8] = 1'); + assert(*result_b.data[9] == 0, 'result[9] = 1'); + assert(*result_b.data[10] == 0, 'result[10] = 1'); + assert(*result_b.data[11] == 0, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -230,26 +230,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 1'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 1'); - assert(*result_b.data.at(1) == 0, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 1'); + assert(*result_b.data[1] == 0, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -287,26 +287,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.less(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 1'); - assert(*result_b.data.at(5) == 0, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 1'); + assert(*result_b.data[3] == 0, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 1'); + assert(*result_b.data[5] == 0, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/less/less_fp_test/less_fp8x23_test.cairo b/src/tests/operators/tensor/math/less/less_fp_test/less_fp8x23_test.cairo index 9efe3284e..0f8df3f78 100644 --- a/src/tests/operators/tensor/math/less/less_fp_test/less_fp8x23_test.cairo +++ b/src/tests/operators/tensor/math/less/less_fp_test/less_fp8x23_test.cairo @@ -32,9 +32,9 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -88,28 +88,28 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 1'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 1'); - assert(*result_b.data.at(1) == 0, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); - assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 1'); + assert(*result_b.data[1] == 0, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); + assert(*result_b.data[8] == 0, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -150,34 +150,34 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_b.less(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - assert(*result_a.data.at(9) == 1, 'result[9] = 1'); - assert(*result_a.data.at(10) == 1, 'result[10] = 1'); - assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); + assert(*result_a.data[9] == 1, 'result[9] = 1'); + assert(*result_a.data[10] == 1, 'result[10] = 1'); + assert(*result_a.data[11] == 1, 'result[11] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 1'); - assert(*result_b.data.at(5) == 0, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); - assert(*result_b.data.at(8) == 0, 'result[8] = 1'); - assert(*result_b.data.at(9) == 0, 'result[9] = 1'); - assert(*result_b.data.at(10) == 0, 'result[10] = 1'); - assert(*result_b.data.at(11) == 0, 'result[11] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 1'); + assert(*result_b.data[5] == 0, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); + assert(*result_b.data[8] == 0, 'result[8] = 1'); + assert(*result_b.data[9] == 0, 'result[9] = 1'); + assert(*result_b.data[10] == 0, 'result[10] = 1'); + assert(*result_b.data[11] == 0, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -230,26 +230,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 1'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 1'); - assert(*result_b.data.at(1) == 0, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 1'); + assert(*result_b.data[1] == 0, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -287,26 +287,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), Option::Some(extra)); let result_a = tensor_b.less(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 1'); - assert(*result_b.data.at(5) == 0, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 1'); + assert(*result_b.data[3] == 0, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 1'); + assert(*result_b.data[5] == 0, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/less/less_i32_test.cairo b/src/tests/operators/tensor/math/less/less_i32_test.cairo index 9cc413f72..10fd7354c 100644 --- a/src/tests/operators/tensor/math/less/less_i32_test.cairo +++ b/src/tests/operators/tensor/math/less/less_i32_test.cairo @@ -31,9 +31,9 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -87,28 +87,28 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 1'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 1'); - assert(*result_b.data.at(1) == 0, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); - assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 1'); + assert(*result_b.data[1] == 0, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); + assert(*result_b.data[8] == 0, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -149,34 +149,34 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.less(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - assert(*result_a.data.at(9) == 1, 'result[9] = 1'); - assert(*result_a.data.at(10) == 1, 'result[10] = 1'); - assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); + assert(*result_a.data[9] == 1, 'result[9] = 1'); + assert(*result_a.data[10] == 1, 'result[10] = 1'); + assert(*result_a.data[11] == 1, 'result[11] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 1'); - assert(*result_b.data.at(5) == 0, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); - assert(*result_b.data.at(8) == 0, 'result[8] = 1'); - assert(*result_b.data.at(9) == 0, 'result[9] = 1'); - assert(*result_b.data.at(10) == 0, 'result[10] = 1'); - assert(*result_b.data.at(11) == 0, 'result[11] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 1'); + assert(*result_b.data[5] == 0, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); + assert(*result_b.data[8] == 0, 'result[8] = 1'); + assert(*result_b.data[9] == 0, 'result[9] = 1'); + assert(*result_b.data[10] == 0, 'result[10] = 1'); + assert(*result_b.data[11] == 0, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -228,26 +228,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 1'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 1'); - assert(*result_b.data.at(1) == 0, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 1'); + assert(*result_b.data[1] == 0, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -285,26 +285,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.less(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/less/less_u32_test.cairo b/src/tests/operators/tensor/math/less/less_u32_test.cairo index cf6b3c8b8..39a87ecf9 100644 --- a/src/tests/operators/tensor/math/less/less_u32_test.cairo +++ b/src/tests/operators/tensor/math/less/less_u32_test.cairo @@ -29,16 +29,16 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -89,28 +89,28 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); + assert(*result_b.data[8] == 0, 'result[8] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -151,34 +151,34 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.less(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - assert(*result_a.data.at(9) == 1, 'result[9] = 1'); - assert(*result_a.data.at(10) == 1, 'result[10] = 1'); - assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); + assert(*result_a.data[9] == 1, 'result[9] = 1'); + assert(*result_a.data[10] == 1, 'result[10] = 1'); + assert(*result_a.data[11] == 1, 'result[11] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); + assert(*result_b.data[8] == 0, 'result[8] = 0'); + assert(*result_b.data[9] == 0, 'result[9] = 0'); + assert(*result_b.data[10] == 0, 'result[10] = 0'); + assert(*result_b.data[11] == 0, 'result[11] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -227,26 +227,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 0, 'result[4] = 0'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 0, 'result[4] = 0'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -284,25 +284,25 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.less(@tensor_a); - assert(*result_a.data.at(0) == 0, 'result[0] = 0'); - assert(*result_a.data.at(1) == 0, 'result[1] = 0'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 0, 'result[0] = 0'); + assert(*result_a.data[1] == 0, 'result[1] = 0'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less(@tensor_b); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/less_equal/less_equal_fp_test/less_equal_fp16x16_test.cairo b/src/tests/operators/tensor/math/less_equal/less_equal_fp_test/less_equal_fp16x16_test.cairo index 2ed2b5023..751dd0552 100644 --- a/src/tests/operators/tensor/math/less_equal/less_equal_fp_test/less_equal_fp16x16_test.cairo +++ b/src/tests/operators/tensor/math/less_equal/less_equal_fp_test/less_equal_fp16x16_test.cairo @@ -32,9 +32,9 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -89,28 +89,28 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less_equal(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 1'); - assert(*result_b.data.at(1) == 0, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); - assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 1'); + assert(*result_b.data[1] == 0, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); + assert(*result_b.data[8] == 0, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -151,34 +151,34 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.less_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - assert(*result_a.data.at(9) == 1, 'result[9] = 1'); - assert(*result_a.data.at(10) == 1, 'result[10] = 1'); - assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); + assert(*result_a.data[9] == 1, 'result[9] = 1'); + assert(*result_a.data[10] == 1, 'result[10] = 1'); + assert(*result_a.data[11] == 1, 'result[11] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 1'); - assert(*result_b.data.at(5) == 0, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); - assert(*result_b.data.at(8) == 0, 'result[8] = 1'); - assert(*result_b.data.at(9) == 0, 'result[9] = 1'); - assert(*result_b.data.at(10) == 0, 'result[10] = 1'); - assert(*result_b.data.at(11) == 0, 'result[11] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 0, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 1'); + assert(*result_b.data[5] == 0, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); + assert(*result_b.data[8] == 0, 'result[8] = 1'); + assert(*result_b.data[9] == 0, 'result[9] = 1'); + assert(*result_b.data[10] == 0, 'result[10] = 1'); + assert(*result_b.data[11] == 0, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -231,26 +231,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less_equal(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 1'); - assert(*result_b.data.at(1) == 0, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 1'); + assert(*result_b.data[1] == 0, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -288,26 +288,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.less_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo b/src/tests/operators/tensor/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo index b4b8ff3f5..cd996c709 100644 --- a/src/tests/operators/tensor/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo +++ b/src/tests/operators/tensor/math/less_equal/less_equal_fp_test/less_equal_fp8x23_test.cairo @@ -36,9 +36,9 @@ mod tensor_1D { ); let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -97,28 +97,28 @@ mod tensor_2D { ); let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less_equal(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 1'); - assert(*result_b.data.at(1) == 0, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); - assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 1'); + assert(*result_b.data[1] == 0, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); + assert(*result_b.data[8] == 0, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -163,34 +163,34 @@ mod tensor_2D { ); let result_a = tensor_b.less_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - assert(*result_a.data.at(9) == 1, 'result[9] = 1'); - assert(*result_a.data.at(10) == 1, 'result[10] = 1'); - assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); + assert(*result_a.data[9] == 1, 'result[9] = 1'); + assert(*result_a.data[10] == 1, 'result[10] = 1'); + assert(*result_a.data[11] == 1, 'result[11] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 1'); - assert(*result_b.data.at(5) == 0, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); - assert(*result_b.data.at(8) == 0, 'result[8] = 1'); - assert(*result_b.data.at(9) == 0, 'result[9] = 1'); - assert(*result_b.data.at(10) == 0, 'result[10] = 1'); - assert(*result_b.data.at(11) == 0, 'result[11] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 0, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 1'); + assert(*result_b.data[5] == 0, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); + assert(*result_b.data[8] == 0, 'result[8] = 1'); + assert(*result_b.data[9] == 0, 'result[9] = 1'); + assert(*result_b.data[10] == 0, 'result[10] = 1'); + assert(*result_b.data[11] == 0, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -247,26 +247,26 @@ mod tensor_3D { ); let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less_equal(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 1'); - assert(*result_b.data.at(1) == 0, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 1'); + assert(*result_b.data[1] == 0, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -308,26 +308,26 @@ mod tensor_3D { ); let result_a = tensor_b.less_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/less_equal/less_equal_i32_test.cairo b/src/tests/operators/tensor/math/less_equal/less_equal_i32_test.cairo index cb06e188b..157107ae3 100644 --- a/src/tests/operators/tensor/math/less_equal/less_equal_i32_test.cairo +++ b/src/tests/operators/tensor/math/less_equal/less_equal_i32_test.cairo @@ -31,9 +31,9 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -87,28 +87,28 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less_equal(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 1'); - assert(*result_b.data.at(1) == 0, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); - assert(*result_b.data.at(8) == 0, 'result[8] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 1'); + assert(*result_b.data[1] == 0, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); + assert(*result_b.data[8] == 0, 'result[8] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -149,34 +149,34 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.less_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - assert(*result_a.data.at(9) == 1, 'result[9] = 1'); - assert(*result_a.data.at(10) == 1, 'result[10] = 1'); - assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); + assert(*result_a.data[9] == 1, 'result[9] = 1'); + assert(*result_a.data[10] == 1, 'result[10] = 1'); + assert(*result_a.data[11] == 1, 'result[11] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 1'); - assert(*result_b.data.at(4) == 0, 'result[4] = 1'); - assert(*result_b.data.at(5) == 0, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); - assert(*result_b.data.at(8) == 0, 'result[8] = 1'); - assert(*result_b.data.at(9) == 0, 'result[9] = 1'); - assert(*result_b.data.at(10) == 0, 'result[10] = 1'); - assert(*result_b.data.at(11) == 0, 'result[11] = 1'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 0, 'result[3] = 1'); + assert(*result_b.data[4] == 0, 'result[4] = 1'); + assert(*result_b.data[5] == 0, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); + assert(*result_b.data[8] == 0, 'result[8] = 1'); + assert(*result_b.data[9] == 0, 'result[9] = 1'); + assert(*result_b.data[10] == 0, 'result[10] = 1'); + assert(*result_b.data[11] == 0, 'result[11] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -228,26 +228,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 1'); - assert(*result_a.data.at(3) == 0, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 1'); + assert(*result_a.data[3] == 0, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less_equal(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 1'); - assert(*result_b.data.at(1) == 0, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 1, 'result[3] = 1'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 1'); - assert(*result_b.data.at(7) == 0, 'result[7] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 1'); + assert(*result_b.data[1] == 0, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 1, 'result[3] = 1'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 1'); + assert(*result_b.data[7] == 0, 'result[7] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -285,26 +285,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.less_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } diff --git a/src/tests/operators/tensor/math/less_equal/less_equal_u32_test.cairo b/src/tests/operators/tensor/math/less_equal/less_equal_u32_test.cairo index 97434920e..d82948de9 100644 --- a/src/tests/operators/tensor/math/less_equal/less_equal_u32_test.cairo +++ b/src/tests/operators/tensor/math/less_equal/less_equal_u32_test.cairo @@ -29,16 +29,16 @@ mod tensor_1D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 0, 'result[2] = 0'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 0, 'result[2] = 0'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less_equal(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -89,28 +89,28 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less_equal(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); + assert(*result_b.data[8] == 0, 'result[8] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -151,34 +151,34 @@ mod tensor_2D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.less_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); - assert(*result_a.data.at(8) == 1, 'result[8] = 1'); - assert(*result_a.data.at(9) == 1, 'result[9] = 1'); - assert(*result_a.data.at(10) == 1, 'result[10] = 1'); - assert(*result_a.data.at(11) == 1, 'result[11] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); + assert(*result_a.data[8] == 1, 'result[8] = 1'); + assert(*result_a.data[9] == 1, 'result[9] = 1'); + assert(*result_a.data[10] == 1, 'result[10] = 1'); + assert(*result_a.data[11] == 1, 'result[11] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 1, 'result[2] = 1'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); - assert(*result_b.data.at(8) == 0, 'result[8] = 0'); - assert(*result_b.data.at(9) == 0, 'result[9] = 0'); - assert(*result_b.data.at(10) == 0, 'result[10] = 0'); - assert(*result_b.data.at(11) == 0, 'result[11] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 1, 'result[2] = 1'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); + assert(*result_b.data[8] == 0, 'result[8] = 0'); + assert(*result_b.data[9] == 0, 'result[9] = 0'); + assert(*result_b.data[10] == 0, 'result[10] = 0'); + assert(*result_b.data[11] == 0, 'result[11] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -227,26 +227,26 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes.span(), arr_2.span(), extra); let result_a = tensor_a.less_equal(@tensor_b); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 0, 'result[5] = 0'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 0, 'result[5] = 0'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_b.less_equal(@tensor_a); - assert(*result_b.data.at(0) == 0, 'result[0] = 0'); - assert(*result_b.data.at(1) == 0, 'result[1] = 0'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 1, 'result[4] = 1'); - assert(*result_b.data.at(5) == 1, 'result[5] = 1'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); - assert(*result_b.data.at(7) == 0, 'result[7] = 0'); + assert(*result_b.data[0] == 0, 'result[0] = 0'); + assert(*result_b.data[1] == 0, 'result[1] = 0'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 1, 'result[4] = 1'); + assert(*result_b.data[5] == 1, 'result[5] = 1'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); + assert(*result_b.data[7] == 0, 'result[7] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } @@ -284,25 +284,25 @@ mod tensor_3D { let tensor_b = TensorTrait::::new(sizes_2.span(), arr_2.span(), extra); let result_a = tensor_b.less_equal(@tensor_a); - assert(*result_a.data.at(0) == 1, 'result[0] = 1'); - assert(*result_a.data.at(1) == 1, 'result[1] = 1'); - assert(*result_a.data.at(2) == 1, 'result[2] = 1'); - assert(*result_a.data.at(3) == 1, 'result[3] = 1'); - assert(*result_a.data.at(4) == 1, 'result[4] = 1'); - assert(*result_a.data.at(5) == 1, 'result[5] = 1'); - assert(*result_a.data.at(6) == 1, 'result[6] = 1'); - assert(*result_a.data.at(7) == 1, 'result[7] = 1'); + assert(*result_a.data[0] == 1, 'result[0] = 1'); + assert(*result_a.data[1] == 1, 'result[1] = 1'); + assert(*result_a.data[2] == 1, 'result[2] = 1'); + assert(*result_a.data[3] == 1, 'result[3] = 1'); + assert(*result_a.data[4] == 1, 'result[4] = 1'); + assert(*result_a.data[5] == 1, 'result[5] = 1'); + assert(*result_a.data[6] == 1, 'result[6] = 1'); + assert(*result_a.data[7] == 1, 'result[7] = 1'); assert(result_a.data.len() == tensor_a.data.len(), 'tensor length mismatch'); let result_b = tensor_a.less_equal(@tensor_b); - assert(*result_b.data.at(0) == 1, 'result[0] = 1'); - assert(*result_b.data.at(1) == 1, 'result[1] = 1'); - assert(*result_b.data.at(2) == 0, 'result[2] = 0'); - assert(*result_b.data.at(3) == 0, 'result[3] = 0'); - assert(*result_b.data.at(4) == 0, 'result[4] = 0'); - assert(*result_b.data.at(5) == 0, 'result[5] = 0'); - assert(*result_b.data.at(6) == 0, 'result[6] = 0'); + assert(*result_b.data[0] == 1, 'result[0] = 1'); + assert(*result_b.data[1] == 1, 'result[1] = 1'); + assert(*result_b.data[2] == 0, 'result[2] = 0'); + assert(*result_b.data[3] == 0, 'result[3] = 0'); + assert(*result_b.data[4] == 0, 'result[4] = 0'); + assert(*result_b.data[5] == 0, 'result[5] = 0'); + assert(*result_b.data[6] == 0, 'result[6] = 0'); assert(result_b.data.len() == tensor_a.data.len(), 'tensor length mismatch'); } From a255a99c2c9bafe155ae86d342f521317eee43d7 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Fri, 23 Jun 2023 13:29:18 +0300 Subject: [PATCH 051/126] Update CHANGELOG.md --- docs/CHANGELOG.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md index 3fb8083a1..07a79e56e 100644 --- a/docs/CHANGELOG.md +++ b/docs/CHANGELOG.md @@ -4,6 +4,11 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [Unreleased] - 2023-06-23 + +### Changed +- Replace array.at with IndexView + ## [Unreleased] - 2023-06-21 ### Changed From 5c808d9b33df6ff86db035f39182ca33f9594239 Mon Sep 17 00:00:00 2001 From: Lanre Ojetokun Date: Sat, 24 Jun 2023 00:49:59 +0100 Subject: [PATCH 052/126] create replace index helper function --- src/operators/tensor/helpers.cairo | 37 ++++++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) diff --git a/src/operators/tensor/helpers.cairo b/src/operators/tensor/helpers.cairo index d823c5cfd..48cdd06ee 100644 --- a/src/operators/tensor/helpers.cairo +++ b/src/operators/tensor/helpers.cairo @@ -309,3 +309,40 @@ fn broadcast_shape(mut shape1: Span, mut shape2: Span) -> Span` - The modified shape +fn replace_index( + mut shape: Span, + index: usize, + value: usize + ) -> Span { + let mut output = ArrayTrait::new(); + let mut i = 0; + loop { + if i == shape.len() { + break (); + }; + if i == index { + output.append(value); + } else { + output.append(*shape[i]); + }; + i += 1; + }; + return output.span(); +} From 4d93862e89bac036283a5e3241e9044cf1f42638 Mon Sep 17 00:00:00 2001 From: Lanre Ojetokun Date: Sat, 24 Jun 2023 00:53:15 +0100 Subject: [PATCH 053/126] add cumsum impl --- src/operators/tensor/core.cairo | 69 ++++++++ .../implementations/impl_tensor_fp.cairo | 6 + .../implementations/impl_tensor_i32.cairo | 5 + .../implementations/impl_tensor_u32.cairo | 5 + src/operators/tensor/math.cairo | 1 + src/operators/tensor/math/cumsum.cairo | 5 + .../tensor/math/cumsum/cumsum_fp.cairo | 3 + .../tensor/math/cumsum/cumsum_fp/core.cairo | 18 ++ .../math/cumsum/cumsum_fp/fp16x16.cairo | 26 +++ .../tensor/math/cumsum/cumsum_fp/fp8x23.cairo | 26 +++ .../tensor/math/cumsum/cumsum_i32.cairo | 24 +++ .../tensor/math/cumsum/cumsum_u32.cairo | 23 +++ .../tensor/math/cumsum/helpers.cairo | 164 ++++++++++++++++++ src/tests/operators/tensor/math.cairo | 1 + src/tests/operators/tensor/math/cumsum.cairo | 3 + 15 files changed, 379 insertions(+) create mode 100644 src/operators/tensor/math/cumsum.cairo create mode 100644 src/operators/tensor/math/cumsum/cumsum_fp.cairo create mode 100644 src/operators/tensor/math/cumsum/cumsum_fp/core.cairo create mode 100644 src/operators/tensor/math/cumsum/cumsum_fp/fp16x16.cairo create mode 100644 src/operators/tensor/math/cumsum/cumsum_fp/fp8x23.cairo create mode 100644 src/operators/tensor/math/cumsum/cumsum_i32.cairo create mode 100644 src/operators/tensor/math/cumsum/cumsum_u32.cairo create mode 100644 src/operators/tensor/math/cumsum/helpers.cairo create mode 100644 src/tests/operators/tensor/math/cumsum.cairo diff --git a/src/operators/tensor/core.cairo b/src/operators/tensor/core.cairo index 571b4e95f..434160fce 100644 --- a/src/operators/tensor/core.cairo +++ b/src/operators/tensor/core.cairo @@ -42,6 +42,7 @@ struct ExtraParams { /// less_equal - Check if each element of the first tensor is less than or equal to the corresponding element of the second tensor. /// abs - Computes the absolute value of all elements in the input tensor. /// ceil - Rounds up the value of each element in the input tensor. +/// cumsum - Returns the cumulative sum of the elements along a given axis. trait TensorTrait { /// # tensor.new /// @@ -1116,6 +1117,74 @@ trait TensorTrait { /// ``` /// fn ceil(self: @Tensor) -> Tensor; + /// # tensor.cumsum + /// + /// ```rust + /// fn cumsum(self: @Tensor, axis: usize, exclusive: Option, reverse: Option) -> Tensor; + /// ``` + /// + /// Performs cumulative sum of the input elements along the given axis. + /// + /// ## Args + /// + /// * `self`(`@Tensor`) - The input tensor. + /// * `axis`(`usize`) - The axis along which to compute the cumulative sum. + /// * `exclusive`(`Option`) - By default, it will do the sum inclusively meaning the first element is copied as is. + /// * `reverse`(`Option`) - If true, the cumulative sum is performed in the opposite direction. Defaults to false. + /// + /// ## Panics + /// + /// * Panics if axis is not in the range of the input tensor's dimensions. + /// + /// ## Returns + /// + /// A new `Tensor` instance containing the cumulative sum of the input tensor's elements along the given axis. + /// + /// ## Examples + /// + /// Case 1: cumsum with default parameters + /// + /// ```rust + /// fn cumsum_example() -> Tensor { + /// // We instantiate a 3D Tensor here. + /// // [[[0,1],[2,3]],[[4,5],[6,7]]] + /// let tensor = u32_tensor_2x2x2_helper(); + /// + /// // We can call `cumsum` function as follows. + /// return tensor.cumsum(2,Option::None(()),Option::None(())); + /// } + /// >>> [[[0,1],[2,5]],[[4,9],[6,13]]] + /// ``` + /// + /// Case 2: cumsum with exclusive = true + /// + /// ```rust + /// fn cumsum_example() -> Tensor { + /// // We instantiate a 3D Tensor here. + /// // [[[0,1],[2,3]],[[4,5],[6,7]]] + /// let tensor = u32_tensor_2x2x2_helper(); + /// + /// // We can call `cumsum` function as follows. + /// return tensor.cumsum(2,Option::Some(true),Option::None(())); + /// } + /// >>> [[[0,0],[0,2]],[[0,4],[0,6]]] + /// ``` + /// + /// Case 3: cumsum with exclusive = true and reverse = true + /// + /// ```rust + /// fn cumsum_example() -> Tensor { + /// // We instantiate a 3D Tensor here. + /// // [[[0,1],[2,3]],[[4,5],[6,7]]] + /// let tensor = u32_tensor_2x2x2_helper(); + /// + /// // We can call `cumsum` function as follows. + /// return tensor.cumsum(2,Option::Some(true),Option::Some(true)); + /// } + /// >>> [[[1,0],[3,0]],[[5,0],[7,0]]] + /// ``` + /// + fn cumsum(self: @Tensor, axis: usize, exclusive: Option, reverse: Option) -> Tensor; } /// Cf: TensorTrait::new docstring diff --git a/src/operators/tensor/implementations/impl_tensor_fp.cairo b/src/operators/tensor/implementations/impl_tensor_fp.cairo index 4920501a0..8e3666302 100644 --- a/src/operators/tensor/implementations/impl_tensor_fp.cairo +++ b/src/operators/tensor/implementations/impl_tensor_fp.cairo @@ -27,6 +27,8 @@ use orion::operators::tensor::math::ln::ln_fp::core::ln; use orion::operators::tensor::math::arithmetic::arithmetic_fp::core::{add, sub, mul, div}; use orion::operators::tensor::math::greater::greater_fp::core::greater; use orion::operators::tensor::math::greater_equal::greater_equal_fp::core::greater_equal; +use orion::operators::tensor::math::cumsum::cumsum_fp::core::cumsum; + use orion::utils::check_gas; impl Tensor_fp of TensorTrait { @@ -119,6 +121,10 @@ impl Tensor_fp of TensorTrait { fn ceil(self: @Tensor) -> Tensor { ceil(self).unwrap() } + + fn cumsum(self: @Tensor, axis: usize, exclusive:Option, reverse:Option) -> Tensor { + cumsum(self, axis, exclusive, reverse).unwrap() + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/implementations/impl_tensor_i32.cairo b/src/operators/tensor/implementations/impl_tensor_i32.cairo index 4b6ccfd21..586b81060 100644 --- a/src/operators/tensor/implementations/impl_tensor_i32.cairo +++ b/src/operators/tensor/implementations/impl_tensor_i32.cairo @@ -28,6 +28,7 @@ use orion::operators::tensor::linalg::transpose::transpose_i32::transpose; use orion::operators::tensor::math::exp::exp_i32::core::exp_i32; use orion::operators::tensor::math::ln::ln_i32::core::ln_i32; use orion::operators::tensor::math::arithmetic::arithmetic_i32::{add, sub, mul, div}; +use orion::operators::tensor::math::cumsum::cumsum_i32::cumsum; use orion::utils::check_gas; impl Tensor_i32 of TensorTrait { @@ -118,6 +119,10 @@ impl Tensor_i32 of TensorTrait { fn ceil(self: @Tensor) -> Tensor { ceil(self) } + + fn cumsum(self: @Tensor, axis: usize, exclusive:Option, reverse:Option) -> Tensor { + cumsum(self, axis, exclusive, reverse) + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/implementations/impl_tensor_u32.cairo b/src/operators/tensor/implementations/impl_tensor_u32.cairo index 9c0ca8838..4cf84524a 100644 --- a/src/operators/tensor/implementations/impl_tensor_u32.cairo +++ b/src/operators/tensor/implementations/impl_tensor_u32.cairo @@ -27,6 +27,7 @@ use orion::operators::tensor::linalg::transpose::transpose_u32::transpose; use orion::operators::tensor::math::exp::exp_u32::core::exp_u32; use orion::operators::tensor::math::ln::ln_u32::core::ln_u32; use orion::operators::tensor::math::arithmetic::arithmetic_u32::{add, sub, mul, div}; +use orion::operators::tensor::math::cumsum::cumsum_u32::cumsum; use orion::utils::check_gas; impl Tensor_u32 of TensorTrait { @@ -118,6 +119,10 @@ impl Tensor_u32 of TensorTrait { fn ceil(self: @Tensor) -> Tensor { ceil(self) } + + fn cumsum(self: @Tensor, axis: usize, exclusive:Option, reverse:Option) -> Tensor { + cumsum(self, axis, exclusive, reverse) + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/math.cairo b/src/operators/tensor/math.cairo index b73d95f4b..f21ba3d67 100644 --- a/src/operators/tensor/math.cairo +++ b/src/operators/tensor/math.cairo @@ -13,3 +13,4 @@ mod less; mod less_equal; mod abs; mod ceil; +mod cumsum; diff --git a/src/operators/tensor/math/cumsum.cairo b/src/operators/tensor/math/cumsum.cairo new file mode 100644 index 000000000..409b30b80 --- /dev/null +++ b/src/operators/tensor/math/cumsum.cairo @@ -0,0 +1,5 @@ +mod cumsum_i32; +mod cumsum_u32; +mod cumsum_fp; +mod helpers; + diff --git a/src/operators/tensor/math/cumsum/cumsum_fp.cairo b/src/operators/tensor/math/cumsum/cumsum_fp.cairo new file mode 100644 index 000000000..50d44d68c --- /dev/null +++ b/src/operators/tensor/math/cumsum/cumsum_fp.cairo @@ -0,0 +1,3 @@ +mod core; +mod fp8x23; +mod fp16x16; diff --git a/src/operators/tensor/math/cumsum/cumsum_fp/core.cairo b/src/operators/tensor/math/cumsum/cumsum_fp/core.cairo new file mode 100644 index 000000000..b9ff0a2ba --- /dev/null +++ b/src/operators/tensor/math/cumsum/cumsum_fp/core.cairo @@ -0,0 +1,18 @@ +use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; +use orion::operators::tensor::core::Tensor; +use orion::operators::tensor::math::cumsum::cumsum_fp::fp8x23; +use orion::operators::tensor::math::cumsum::cumsum_fp::fp16x16; + +/// Cf: TensorTrait::cumsum docstring +fn cumsum(self: @Tensor, axis: usize, exclusive: Option, reverse: Option ) -> Option> { + match *self.extra { + Option::Some(extra_params) => match extra_params.fixed_point { + Option::Some(fixed_point) => match fixed_point { + FixedImpl::FP8x23(()) => Option::Some(fp8x23::cumsum(self, axis, exclusive, reverse)), + FixedImpl::FP16x16(()) => Option::Some(fp16x16::cumsum(self, axis, exclusive, reverse)), + }, + Option::None(_) => Option::Some(fp16x16::cumsum(self, axis, exclusive, reverse)), + }, + Option::None(_) => Option::Some(fp16x16::cumsum(self, axis, exclusive, reverse)), + } +} diff --git a/src/operators/tensor/math/cumsum/cumsum_fp/fp16x16.cairo b/src/operators/tensor/math/cumsum/cumsum_fp/fp16x16.cairo new file mode 100644 index 000000000..60c3f3282 --- /dev/null +++ b/src/operators/tensor/math/cumsum/cumsum_fp/fp16x16.cairo @@ -0,0 +1,26 @@ + use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl, FP16x16Add, FP16x16Sub, FP16x16AddEq}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::operators::tensor::core::Tensor; +use orion::operators::tensor::math::cumsum::helpers::{cumsum_forward, cumsum_reverse}; + + +/// Cf: TensorTrait::cumsum docstring +fn cumsum( + self: @Tensor, + axis: usize, + exclusive: Option, + reverse: Option + ) -> Tensor { + + let reverse = match reverse { + Option::Some(val) => val, + Option::None(_) => false + }; + + if reverse { + cumsum_reverse(self, axis, exclusive, FixedTrait::new(0,false)) + } else { + cumsum_forward(self, axis, exclusive, FixedTrait::new(0,false)) + } +} \ No newline at end of file diff --git a/src/operators/tensor/math/cumsum/cumsum_fp/fp8x23.cairo b/src/operators/tensor/math/cumsum/cumsum_fp/fp8x23.cairo new file mode 100644 index 000000000..b96837113 --- /dev/null +++ b/src/operators/tensor/math/cumsum/cumsum_fp/fp8x23.cairo @@ -0,0 +1,26 @@ + use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl, FP8x23Add, FP8x23Sub, FP8x23AddEq}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::operators::tensor::core::Tensor; +use orion::operators::tensor::math::cumsum::helpers::{cumsum_forward, cumsum_reverse}; + + +/// Cf: TensorTrait::cumsum docstring +fn cumsum( + self: @Tensor, + axis: usize, + exclusive: Option, + reverse: Option + ) -> Tensor { + + let reverse = match reverse { + Option::Some(val) => val, + Option::None(_) => false + }; + + if reverse { + cumsum_reverse(self, axis, exclusive, FixedTrait::new(0,false)) + } else { + cumsum_forward(self, axis, exclusive, FixedTrait::new(0,false)) + } +} \ No newline at end of file diff --git a/src/operators/tensor/math/cumsum/cumsum_i32.cairo b/src/operators/tensor/math/cumsum/cumsum_i32.cairo new file mode 100644 index 000000000..c2dbc7afe --- /dev/null +++ b/src/operators/tensor/math/cumsum/cumsum_i32.cairo @@ -0,0 +1,24 @@ +use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; +use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; +use orion::operators::tensor::core::Tensor; +use orion::operators::tensor::math::cumsum::helpers::{cumsum_forward, cumsum_reverse}; + +/// Cf: TensorTrait::cumsum docstring +fn cumsum( + self: @Tensor, + axis: usize, + exclusive: Option, + reverse: Option + ) -> Tensor { + + let reverse = match reverse { + Option::Some(val) => val, + Option::None(_) => false + }; + + if reverse { + cumsum_reverse(self, axis, exclusive, IntegerTrait::new(0,false)) + } else { + cumsum_forward(self, axis, exclusive, IntegerTrait::new(0,false)) + } +} diff --git a/src/operators/tensor/math/cumsum/cumsum_u32.cairo b/src/operators/tensor/math/cumsum/cumsum_u32.cairo new file mode 100644 index 000000000..b6fc5ddc0 --- /dev/null +++ b/src/operators/tensor/math/cumsum/cumsum_u32.cairo @@ -0,0 +1,23 @@ +use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; +use orion::operators::tensor::core::Tensor; +use orion::operators::tensor::math::cumsum::helpers::{cumsum_forward, cumsum_reverse}; + +/// Cf: TensorTrait::cumsum docstring +fn cumsum( + self: @Tensor, + axis: usize, + exclusive: Option, + reverse: Option, + ) -> Tensor { + + let reverse = match reverse { + Option::Some(val) => val, + Option::None(_) => false + }; + + if reverse { + cumsum_reverse(self, axis, exclusive, 0) + } else { + cumsum_forward(self, axis, exclusive, 0) + } +} diff --git a/src/operators/tensor/math/cumsum/helpers.cairo b/src/operators/tensor/math/cumsum/helpers.cairo new file mode 100644 index 000000000..ab7018d8f --- /dev/null +++ b/src/operators/tensor/math/cumsum/helpers.cairo @@ -0,0 +1,164 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use debug::PrintTrait; + +use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; +use orion::operators::tensor::implementations::{impl_tensor_i32, impl_tensor_u32}; +use orion::operators::tensor::helpers::replace_index; +use orion::operators::tensor::core::{Tensor, TensorTrait, ravel_index, unravel_index}; +use orion::utils::check_gas; + +/// Cf: TensorTrait::cumsum docstring +fn cumsum_forward, + impl TAdd: Add, + impl TCopy: Copy, + impl TDrop: Drop, +>( + self: @Tensor, + axis: usize, + exclusive: Option, + zero: T, + ) -> Tensor { + + let exclusive = match exclusive { + Option::Some(val) => val, + Option::None(_) => false, + }; + + assert(axis < (*self.shape).len(), 'axis out of dimensions'); + + let data = *self.data; + + let mut output_data = ArrayTrait::new(); + + let mut index: usize = 0; + + loop { + check_gas(); + + if index == data.len() { + break (); + }; + + let current_indices = unravel_index(index, *self.shape); + let axis_value = *current_indices[axis]; + if axis_value == 0 { + if exclusive { + output_data.append(zero); + } else { + output_data.append(*(data)[index]); + } + } else { + + let previous_axis_element_indices = replace_index(current_indices, axis, axis_value - 1); + let previous_axis_element_index = ravel_index(*self.shape, previous_axis_element_indices); + + if exclusive { + output_data.append( + *output_data[previous_axis_element_index] + + *(data)[previous_axis_element_index] + ); + } else { + output_data.append( + *output_data[previous_axis_element_index] + + *(data)[index] + ); + }; + } + + index += 1; + + }; + + return TensorTrait::::new(*self.shape, output_data.span(), *self.extra); +} + + + + +/// Cf: TensorTrait::cumsum docstring +fn cumsum_reverse, + impl TAddEq: AddEq, + impl TSub: Sub, + impl TCopy: Copy, + impl TDrop: Drop, +>( + self: @Tensor, + axis: usize, + exclusive: Option, + zero: T, + ) -> Tensor { + + let exclusive = match exclusive { + Option::Some(val) => val, + Option::None(_) => false, + }; + + + assert(axis < (*self.shape).len(), 'axis out of dimensions'); + let data = *self.data; + let mut output_data = ArrayTrait::new(); + let mut index: usize = 0; + loop { + check_gas(); + + if index == data.len() { + break (); + }; + + let current_indices = unravel_index(index, *self.shape); + let mut axis_value = *current_indices[axis]; + + if axis_value == 0 { + // If the axis value is 0, we need to sum all the elements + // in the axis. + + let mut sum = *(data)[index]; + if exclusive { + sum = zero; + } + + let end_index = *(*self.shape)[axis] - 1; + + loop { + + axis_value += 1; + if axis_value > end_index{ + break (); + } + + let next_axis_element_indices = replace_index(current_indices, axis, axis_value); + let next_axis_element_index = ravel_index(*self.shape, next_axis_element_indices); + sum += *data[next_axis_element_index]; + + }; + output_data.append(sum); + + } else { + // If the axis value is not 0, we only need to do a subtraction + let previous_axis_element_indices = replace_index(current_indices, axis, axis_value - 1); + let previous_axis_element_index = ravel_index(*self.shape, previous_axis_element_indices); + let mut z = *(data)[previous_axis_element_index]; + + if exclusive { + output_data.append( + *output_data[previous_axis_element_index] - + *(data)[index] + ); + } else { + output_data.append( + *output_data[previous_axis_element_index] - + *(data)[previous_axis_element_index] + ); + } + } + + index += 1; + + }; + + return TensorTrait::::new(*self.shape, output_data.span(), *self.extra); + } diff --git a/src/tests/operators/tensor/math.cairo b/src/tests/operators/tensor/math.cairo index 826039c61..994687538 100644 --- a/src/tests/operators/tensor/math.cairo +++ b/src/tests/operators/tensor/math.cairo @@ -13,3 +13,4 @@ mod abs; mod ceil; mod ln; mod arithmetic; +mod cumsum; diff --git a/src/tests/operators/tensor/math/cumsum.cairo b/src/tests/operators/tensor/math/cumsum.cairo new file mode 100644 index 000000000..0e348e579 --- /dev/null +++ b/src/tests/operators/tensor/math/cumsum.cairo @@ -0,0 +1,3 @@ +mod cumsum_u32_test; +mod cumsum_i32_test; +mod cumsum_fp_test; \ No newline at end of file From 114cbed117a0c9dfe887b8046bb3e1b4b967ba89 Mon Sep 17 00:00:00 2001 From: Lanre Ojetokun Date: Sat, 24 Jun 2023 00:53:37 +0100 Subject: [PATCH 054/126] add cumsum tests --- .../tensor/math/cumsum/cumsum_fp_test.cairo | 2 + .../cumsum_fp_test/cumsum_fp16x16_test.cairo | 398 ++++++++++++++++++ .../cumsum_fp_test/cumsum_fp8x23_test.cairo | 398 ++++++++++++++++++ .../tensor/math/cumsum/cumsum_i32_test.cairo | 389 +++++++++++++++++ .../tensor/math/cumsum/cumsum_u32_test.cairo | 389 +++++++++++++++++ 5 files changed, 1576 insertions(+) create mode 100644 src/tests/operators/tensor/math/cumsum/cumsum_fp_test.cairo create mode 100644 src/tests/operators/tensor/math/cumsum/cumsum_fp_test/cumsum_fp16x16_test.cairo create mode 100644 src/tests/operators/tensor/math/cumsum/cumsum_fp_test/cumsum_fp8x23_test.cairo create mode 100644 src/tests/operators/tensor/math/cumsum/cumsum_i32_test.cairo create mode 100644 src/tests/operators/tensor/math/cumsum/cumsum_u32_test.cairo diff --git a/src/tests/operators/tensor/math/cumsum/cumsum_fp_test.cairo b/src/tests/operators/tensor/math/cumsum/cumsum_fp_test.cairo new file mode 100644 index 000000000..b3871718b --- /dev/null +++ b/src/tests/operators/tensor/math/cumsum/cumsum_fp_test.cairo @@ -0,0 +1,2 @@ +mod cumsum_fp8x23_test; +mod cumsum_fp16x16_test; diff --git a/src/tests/operators/tensor/math/cumsum/cumsum_fp_test/cumsum_fp16x16_test.cairo b/src/tests/operators/tensor/math/cumsum/cumsum_fp_test/cumsum_fp16x16_test.cairo new file mode 100644 index 000000000..5f01607db --- /dev/null +++ b/src/tests/operators/tensor/math/cumsum/cumsum_fp_test/cumsum_fp16x16_test.cairo @@ -0,0 +1,398 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + + use array::{ArrayTrait, SpanTrait}; + use core::traits::Into; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl,FP16x16Into,FP16x16PartialEq}; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + use orion::operators::tensor::core::TensorTrait; + + + + #[test] + #[available_gas(20000000)] + fn default_parameters() { + let tensor = fp_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::None(()), Option::None(())); + + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(3,false), 'result[2] = 3'); + } + + #[test] + #[available_gas(20000000)] + fn changed_parameters() { + + // exclusive = false and reverse = false + let tensor = fp_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(3,false), 'result[2] = 3'); + + // exclusive = false and reverse = true + let tensor = fp_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(3,false), 'result[0] = 3'); + assert((*result.data[1]) == FixedTrait::new_unscaled(3,false), 'result[1] = 3'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + + // exclusive = true and reverse = false + let tensor = fp_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(1,false), 'result[2] = 1'); + + // exclusive = true and reverse = true + let tensor = fp_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(3,false), 'result[0] = 3'); + assert((*result.data[1]) == FixedTrait::new_unscaled(2,false), 'result[1] = 2'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + + } + +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + + use array::{ArrayTrait, SpanTrait}; + use core::traits::Into; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl,FP16x16Into,FP16x16PartialEq}; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + use orion::operators::tensor::core::TensorTrait; + + #[test] + #[available_gas(20000000)] + fn default_parameters() { + let tensor = fp_tensor_2x2_helper(); + // axis = 0 + let result = tensor.cumsum(0, Option::None(()), Option::None(())); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(4,false), 'result[3] = 4'); + + // axis = 1 + let result = tensor.cumsum(1, Option::None(()), Option::None(())); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(5,false), 'result[3] = 5'); + } + + + #[test] + #[available_gas(20000000)] + fn changed_parameters() { + + // axis = 0 exclusive = false and reverse = false + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(4,false), 'result[3] = 4'); + + // axis = 0 exclusive = false and reverse = true + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(2,false), 'result[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(4,false), 'result[1] = 4'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(3,false), 'result[3] = 3'); + + // axis = 0 exclusive = true and reverse = false + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + assert((*result.data[3]) == FixedTrait::new_unscaled(1,false), 'result[3] = 1'); + + // axis = 0 exclusive = true and reverse = true + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(2,false), 'result[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(3,false), 'result[1] = 3'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + assert((*result.data[3]) == FixedTrait::new_unscaled(0,false), 'result[3] = 0'); + + + + + + // axis = 1 exclusive = false and reverse = false + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(5,false), 'result[3] = 5'); + + // axis = 1 exclusive = false and reverse = true + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(1,false), 'result[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(5,false), 'result[2] = 5'); + assert((*result.data[3]) == FixedTrait::new_unscaled(3,false), 'result[3] = 3'); + + // axis = 1 exclusive = true and reverse = false + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + assert((*result.data[3]) == FixedTrait::new_unscaled(2,false), 'result[3] = 2'); + + // axis = 1 exclusive = true and reverse = true + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(1,false), 'result[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(3,false), 'result[2] = 3'); + assert((*result.data[3]) == FixedTrait::new_unscaled(0,false), 'result[3] = 0'); + + } + + + +} + + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + + use array::{ArrayTrait, SpanTrait}; + use core::traits::Into; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_16x16::{FP16x16Impl,FP16x16Into,FP16x16PartialEq}; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_helper; + use orion::operators::tensor::core::TensorTrait; + + + #[test] + #[available_gas(20000000)] + fn default_parameters() { + let tensor = fp_tensor_2x2x2_helper(); + + // axis = 0 + let result = tensor.cumsum(0, Option::None(()), Option::None(())); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(3,false), 'result[3] = 3'); + assert((*result.data[4]) == FixedTrait::new_unscaled(4,false), 'result[4] = 4'); + assert((*result.data[5]) == FixedTrait::new_unscaled(6,false), 'result[5] = 6'); + assert((*result.data[6]) == FixedTrait::new_unscaled(8,false), 'result[6] = 8'); + assert((*result.data[7]) == FixedTrait::new_unscaled(10,false),'result[7] = 10'); + + + // axis = 1 + let result = tensor.cumsum(1, Option::None(()), Option::None(())); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(4,false), 'result[3] = 4'); + assert((*result.data[4]) == FixedTrait::new_unscaled(4,false), 'result[4] = 4'); + assert((*result.data[5]) == FixedTrait::new_unscaled(5,false), 'result[5] = 5'); + assert((*result.data[6]) == FixedTrait::new_unscaled(10,false), 'result[6] = 10'); + assert((*result.data[7]) == FixedTrait::new_unscaled(12,false), 'result[7] = 12'); + + + // axis = 2 + let result = tensor.cumsum(2, Option::None(()), Option::None(())); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(5,false), 'result[3] = 5'); + assert((*result.data[4]) == FixedTrait::new_unscaled(4,false), 'result[4] = 4'); + assert((*result.data[5]) == FixedTrait::new_unscaled(9,false), 'result[5] = 9'); + assert((*result.data[6]) == FixedTrait::new_unscaled(6,false), 'result[6] = 6'); + assert((*result.data[7]) == FixedTrait::new_unscaled(13,false), 'result[7] = 13'); + } + + + + #[test] + #[available_gas(40000000)] + fn changed_parameters() { + + // axis = 0 exclusive = false and reverse = false + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(3,false), 'result[3] = 3'); + assert((*result.data[4]) == FixedTrait::new_unscaled(4,false), 'result[4] = 4'); + assert((*result.data[5]) == FixedTrait::new_unscaled(6,false), 'result[5] = 6'); + assert((*result.data[6]) == FixedTrait::new_unscaled(8,false), 'result[6] = 8'); + assert((*result.data[7]) == FixedTrait::new_unscaled(10,false),'result[7] = 10'); + + + // axis = 0 exclusive = false and reverse = true + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(4,false), 'result[0] = 4'); + assert((*result.data[1]) == FixedTrait::new_unscaled(6,false), 'result[1] = 6'); + assert((*result.data[2]) == FixedTrait::new_unscaled(8,false), 'result[2] = 8'); + assert((*result.data[3]) == FixedTrait::new_unscaled(10,false), 'result[3] = 10'); + assert((*result.data[4]) == FixedTrait::new_unscaled(4,false), 'result[4] = 4'); + assert((*result.data[5]) == FixedTrait::new_unscaled(5,false), 'result[5] = 5'); + assert((*result.data[6]) == FixedTrait::new_unscaled(6,false), 'result[6] = 6'); + assert((*result.data[7]) == FixedTrait::new_unscaled(7,false), 'result[7] = 7'); + + // axis = 0 exclusive = true and reverse = false + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + assert((*result.data[3]) == FixedTrait::new_unscaled(0,false), 'result[3] = 0'); + assert((*result.data[4]) == FixedTrait::new_unscaled(0,false), 'result[4] = 0'); + assert((*result.data[5]) == FixedTrait::new_unscaled(1,false), 'result[5] = 1'); + assert((*result.data[6]) == FixedTrait::new_unscaled(2,false), 'result[6] = 2'); + assert((*result.data[7]) == FixedTrait::new_unscaled(3,false), 'result[7] = 3'); + + // axis = 0 exclusive = true and reverse = true + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(4,false), 'result[0] = 4'); + assert((*result.data[1]) == FixedTrait::new_unscaled(5,false), 'result[1] = 5'); + assert((*result.data[2]) == FixedTrait::new_unscaled(6,false), 'result[2] = 6'); + assert((*result.data[3]) == FixedTrait::new_unscaled(7,false), 'result[3] = 7'); + assert((*result.data[4]) == FixedTrait::new_unscaled(0,false), 'result[4] = 0'); + assert((*result.data[5]) == FixedTrait::new_unscaled(0,false), 'result[5] = 0'); + assert((*result.data[6]) == FixedTrait::new_unscaled(0,false), 'result[6] = 0'); + assert((*result.data[7]) == FixedTrait::new_unscaled(0,false), 'result[7] = 0'); + + + + + + + // axis = 1 exclusive = false and reverse = false + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(4,false), 'result[3] = 4'); + assert((*result.data[4]) == FixedTrait::new_unscaled(4,false), 'result[4] = 4'); + assert((*result.data[5]) == FixedTrait::new_unscaled(5,false), 'result[5] = 5'); + assert((*result.data[6]) == FixedTrait::new_unscaled(10,false), 'result[6] = 10'); + assert((*result.data[7]) == FixedTrait::new_unscaled(12,false), 'result[7] = 12'); + + + // axis = 1 exclusive = false and reverse = true + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(2,false), 'result[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(4,false), 'result[1] = 4'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(3,false), 'result[3] = 3'); + assert((*result.data[4]) == FixedTrait::new_unscaled(10,false), 'result[4] = 10'); + assert((*result.data[5]) == FixedTrait::new_unscaled(12,false), 'result[5] = 12'); + assert((*result.data[6]) == FixedTrait::new_unscaled(6,false), 'result[6] = 6'); + assert((*result.data[7]) == FixedTrait::new_unscaled(7,false), 'result[7] = 7'); + + + // axis = 1 exclusive = true and reverse = false + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + assert((*result.data[3]) == FixedTrait::new_unscaled(1,false), 'result[3] = 1'); + assert((*result.data[4]) == FixedTrait::new_unscaled(0,false), 'result[4] = 0'); + assert((*result.data[5]) == FixedTrait::new_unscaled(0,false), 'result[5] = 0'); + assert((*result.data[6]) == FixedTrait::new_unscaled(4,false), 'result[6] = 4'); + assert((*result.data[7]) == FixedTrait::new_unscaled(5,false), 'result[7] = 5'); + + // axis = 1 exclusive = true and reverse = true + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(2,false), 'result[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(3,false), 'result[1] = 3'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + assert((*result.data[3]) == FixedTrait::new_unscaled(0,false), 'result[3] = 0'); + assert((*result.data[4]) == FixedTrait::new_unscaled(6,false), 'result[4] = 6'); + assert((*result.data[5]) == FixedTrait::new_unscaled(7,false), 'result[5] = 7'); + assert((*result.data[6]) == FixedTrait::new_unscaled(0,false), 'result[6] = 0'); + assert((*result.data[7]) == FixedTrait::new_unscaled(0,false), 'result[7] = 0'); + + + + + + + + + // axis = 2 exclusive = false and reverse = false + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(false), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(5,false), 'result[3] = 5'); + assert((*result.data[4]) == FixedTrait::new_unscaled(4,false), 'result[4] = 4'); + assert((*result.data[5]) == FixedTrait::new_unscaled(9,false), 'result[5] = 9'); + assert((*result.data[6]) == FixedTrait::new_unscaled(6,false), 'result[6] = 6'); + assert((*result.data[7]) == FixedTrait::new_unscaled(13,false), 'result[7] = 13'); + + // axis = 2 exclusive = false and reverse = true + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(false), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(1,false), 'result[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(5,false), 'result[2] = 5'); + assert((*result.data[3]) == FixedTrait::new_unscaled(3,false), 'result[3] = 3'); + assert((*result.data[4]) == FixedTrait::new_unscaled(9,false), 'result[4] = 9'); + assert((*result.data[5]) == FixedTrait::new_unscaled(5,false), 'result[5] = 5'); + assert((*result.data[6]) == FixedTrait::new_unscaled(13,false), 'result[6] = 13'); + assert((*result.data[7]) == FixedTrait::new_unscaled(7,false), 'result[7] = 7'); + + // axis = 2 exclusive = true and reverse = false + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(true), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + assert((*result.data[3]) == FixedTrait::new_unscaled(2,false), 'result[3] = 2'); + assert((*result.data[4]) == FixedTrait::new_unscaled(0,false), 'result[4] = 0'); + assert((*result.data[5]) == FixedTrait::new_unscaled(4,false), 'result[5] = 4'); + assert((*result.data[6]) == FixedTrait::new_unscaled(0,false), 'result[6] = 0'); + assert((*result.data[7]) == FixedTrait::new_unscaled(6,false), 'result[7] = 6'); + + // axis = 2 exclusive = true and reverse = true + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(true), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(1,false), 'result[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(3,false), 'result[2] = 3'); + assert((*result.data[3]) == FixedTrait::new_unscaled(0,false), 'result[3] = 0'); + assert((*result.data[4]) == FixedTrait::new_unscaled(5,false), 'result[4] = 5'); + assert((*result.data[5]) == FixedTrait::new_unscaled(0,false), 'result[5] = 0'); + assert((*result.data[6]) == FixedTrait::new_unscaled(7,false), 'result[6] = 7'); + assert((*result.data[7]) == FixedTrait::new_unscaled(0,false), 'result[7] = 0'); + + } + +} diff --git a/src/tests/operators/tensor/math/cumsum/cumsum_fp_test/cumsum_fp8x23_test.cairo b/src/tests/operators/tensor/math/cumsum/cumsum_fp_test/cumsum_fp8x23_test.cairo new file mode 100644 index 000000000..9b4c3c187 --- /dev/null +++ b/src/tests/operators/tensor/math/cumsum/cumsum_fp_test/cumsum_fp8x23_test.cairo @@ -0,0 +1,398 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + + use array::{ArrayTrait, SpanTrait}; + use core::traits::Into; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl,FP8x23Into,FP8x23PartialEq}; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + use orion::operators::tensor::core::TensorTrait; + + + + #[test] + #[available_gas(20000000)] + fn default_parameters() { + let tensor = fp_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::None(()), Option::None(())); + + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(3,false), 'result[2] = 3'); + } + + #[test] + #[available_gas(20000000)] + fn changed_parameters() { + + // exclusive = false and reverse = false + let tensor = fp_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(3,false), 'result[2] = 3'); + + // exclusive = false and reverse = true + let tensor = fp_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(3,false), 'result[0] = 3'); + assert((*result.data[1]) == FixedTrait::new_unscaled(3,false), 'result[1] = 3'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + + // exclusive = true and reverse = false + let tensor = fp_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(1,false), 'result[2] = 1'); + + // exclusive = true and reverse = true + let tensor = fp_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(3,false), 'result[0] = 3'); + assert((*result.data[1]) == FixedTrait::new_unscaled(2,false), 'result[1] = 2'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + + } + +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + + use array::{ArrayTrait, SpanTrait}; + use core::traits::Into; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl,FP8x23Into,FP8x23PartialEq}; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + use orion::operators::tensor::core::TensorTrait; + + #[test] + #[available_gas(20000000)] + fn default_parameters() { + let tensor = fp_tensor_2x2_helper(); + // axis = 0 + let result = tensor.cumsum(0, Option::None(()), Option::None(())); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(4,false), 'result[3] = 4'); + + // axis = 1 + let result = tensor.cumsum(1, Option::None(()), Option::None(())); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(5,false), 'result[3] = 5'); + } + + + #[test] + #[available_gas(20000000)] + fn changed_parameters() { + + // axis = 0 exclusive = false and reverse = false + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(4,false), 'result[3] = 4'); + + // axis = 0 exclusive = false and reverse = true + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(2,false), 'result[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(4,false), 'result[1] = 4'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(3,false), 'result[3] = 3'); + + // axis = 0 exclusive = true and reverse = false + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + assert((*result.data[3]) == FixedTrait::new_unscaled(1,false), 'result[3] = 1'); + + // axis = 0 exclusive = true and reverse = true + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(2,false), 'result[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(3,false), 'result[1] = 3'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + assert((*result.data[3]) == FixedTrait::new_unscaled(0,false), 'result[3] = 0'); + + + + + + // axis = 1 exclusive = false and reverse = false + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(5,false), 'result[3] = 5'); + + // axis = 1 exclusive = false and reverse = true + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(1,false), 'result[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(5,false), 'result[2] = 5'); + assert((*result.data[3]) == FixedTrait::new_unscaled(3,false), 'result[3] = 3'); + + // axis = 1 exclusive = true and reverse = false + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + assert((*result.data[3]) == FixedTrait::new_unscaled(2,false), 'result[3] = 2'); + + // axis = 1 exclusive = true and reverse = true + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(1,false), 'result[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(3,false), 'result[2] = 3'); + assert((*result.data[3]) == FixedTrait::new_unscaled(0,false), 'result[3] = 0'); + + } + + + +} + + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + + use array::{ArrayTrait, SpanTrait}; + use core::traits::Into; + use orion::numbers::fixed_point::core::{FixedTrait, FixedType, FixedImpl}; + use orion::numbers::fixed_point::implementations::impl_8x23::{FP8x23Impl,FP8x23Into,FP8x23PartialEq}; + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_helper; + use orion::operators::tensor::core::TensorTrait; + + + #[test] + #[available_gas(20000000)] + fn default_parameters() { + let tensor = fp_tensor_2x2x2_helper(); + + // axis = 0 + let result = tensor.cumsum(0, Option::None(()), Option::None(())); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(3,false), 'result[3] = 3'); + assert((*result.data[4]) == FixedTrait::new_unscaled(4,false), 'result[4] = 4'); + assert((*result.data[5]) == FixedTrait::new_unscaled(6,false), 'result[5] = 6'); + assert((*result.data[6]) == FixedTrait::new_unscaled(8,false), 'result[6] = 8'); + assert((*result.data[7]) == FixedTrait::new_unscaled(10,false),'result[7] = 10'); + + + // axis = 1 + let result = tensor.cumsum(1, Option::None(()), Option::None(())); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(4,false), 'result[3] = 4'); + assert((*result.data[4]) == FixedTrait::new_unscaled(4,false), 'result[4] = 4'); + assert((*result.data[5]) == FixedTrait::new_unscaled(5,false), 'result[5] = 5'); + assert((*result.data[6]) == FixedTrait::new_unscaled(10,false), 'result[6] = 10'); + assert((*result.data[7]) == FixedTrait::new_unscaled(12,false), 'result[7] = 12'); + + + // axis = 2 + let result = tensor.cumsum(2, Option::None(()), Option::None(())); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(5,false), 'result[3] = 5'); + assert((*result.data[4]) == FixedTrait::new_unscaled(4,false), 'result[4] = 4'); + assert((*result.data[5]) == FixedTrait::new_unscaled(9,false), 'result[5] = 9'); + assert((*result.data[6]) == FixedTrait::new_unscaled(6,false), 'result[6] = 6'); + assert((*result.data[7]) == FixedTrait::new_unscaled(13,false), 'result[7] = 13'); + } + + + + #[test] + #[available_gas(40000000)] + fn changed_parameters() { + + // axis = 0 exclusive = false and reverse = false + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(3,false), 'result[3] = 3'); + assert((*result.data[4]) == FixedTrait::new_unscaled(4,false), 'result[4] = 4'); + assert((*result.data[5]) == FixedTrait::new_unscaled(6,false), 'result[5] = 6'); + assert((*result.data[6]) == FixedTrait::new_unscaled(8,false), 'result[6] = 8'); + assert((*result.data[7]) == FixedTrait::new_unscaled(10,false),'result[7] = 10'); + + + // axis = 0 exclusive = false and reverse = true + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(4,false), 'result[0] = 4'); + assert((*result.data[1]) == FixedTrait::new_unscaled(6,false), 'result[1] = 6'); + assert((*result.data[2]) == FixedTrait::new_unscaled(8,false), 'result[2] = 8'); + assert((*result.data[3]) == FixedTrait::new_unscaled(10,false), 'result[3] = 10'); + assert((*result.data[4]) == FixedTrait::new_unscaled(4,false), 'result[4] = 4'); + assert((*result.data[5]) == FixedTrait::new_unscaled(5,false), 'result[5] = 5'); + assert((*result.data[6]) == FixedTrait::new_unscaled(6,false), 'result[6] = 6'); + assert((*result.data[7]) == FixedTrait::new_unscaled(7,false), 'result[7] = 7'); + + // axis = 0 exclusive = true and reverse = false + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + assert((*result.data[3]) == FixedTrait::new_unscaled(0,false), 'result[3] = 0'); + assert((*result.data[4]) == FixedTrait::new_unscaled(0,false), 'result[4] = 0'); + assert((*result.data[5]) == FixedTrait::new_unscaled(1,false), 'result[5] = 1'); + assert((*result.data[6]) == FixedTrait::new_unscaled(2,false), 'result[6] = 2'); + assert((*result.data[7]) == FixedTrait::new_unscaled(3,false), 'result[7] = 3'); + + // axis = 0 exclusive = true and reverse = true + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(4,false), 'result[0] = 4'); + assert((*result.data[1]) == FixedTrait::new_unscaled(5,false), 'result[1] = 5'); + assert((*result.data[2]) == FixedTrait::new_unscaled(6,false), 'result[2] = 6'); + assert((*result.data[3]) == FixedTrait::new_unscaled(7,false), 'result[3] = 7'); + assert((*result.data[4]) == FixedTrait::new_unscaled(0,false), 'result[4] = 0'); + assert((*result.data[5]) == FixedTrait::new_unscaled(0,false), 'result[5] = 0'); + assert((*result.data[6]) == FixedTrait::new_unscaled(0,false), 'result[6] = 0'); + assert((*result.data[7]) == FixedTrait::new_unscaled(0,false), 'result[7] = 0'); + + + + + + + // axis = 1 exclusive = false and reverse = false + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(4,false), 'result[3] = 4'); + assert((*result.data[4]) == FixedTrait::new_unscaled(4,false), 'result[4] = 4'); + assert((*result.data[5]) == FixedTrait::new_unscaled(5,false), 'result[5] = 5'); + assert((*result.data[6]) == FixedTrait::new_unscaled(10,false), 'result[6] = 10'); + assert((*result.data[7]) == FixedTrait::new_unscaled(12,false), 'result[7] = 12'); + + + // axis = 1 exclusive = false and reverse = true + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(2,false), 'result[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(4,false), 'result[1] = 4'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(3,false), 'result[3] = 3'); + assert((*result.data[4]) == FixedTrait::new_unscaled(10,false), 'result[4] = 10'); + assert((*result.data[5]) == FixedTrait::new_unscaled(12,false), 'result[5] = 12'); + assert((*result.data[6]) == FixedTrait::new_unscaled(6,false), 'result[6] = 6'); + assert((*result.data[7]) == FixedTrait::new_unscaled(7,false), 'result[7] = 7'); + + + // axis = 1 exclusive = true and reverse = false + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + assert((*result.data[3]) == FixedTrait::new_unscaled(1,false), 'result[3] = 1'); + assert((*result.data[4]) == FixedTrait::new_unscaled(0,false), 'result[4] = 0'); + assert((*result.data[5]) == FixedTrait::new_unscaled(0,false), 'result[5] = 0'); + assert((*result.data[6]) == FixedTrait::new_unscaled(4,false), 'result[6] = 4'); + assert((*result.data[7]) == FixedTrait::new_unscaled(5,false), 'result[7] = 5'); + + // axis = 1 exclusive = true and reverse = true + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(2,false), 'result[0] = 2'); + assert((*result.data[1]) == FixedTrait::new_unscaled(3,false), 'result[1] = 3'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + assert((*result.data[3]) == FixedTrait::new_unscaled(0,false), 'result[3] = 0'); + assert((*result.data[4]) == FixedTrait::new_unscaled(6,false), 'result[4] = 6'); + assert((*result.data[5]) == FixedTrait::new_unscaled(7,false), 'result[5] = 7'); + assert((*result.data[6]) == FixedTrait::new_unscaled(0,false), 'result[6] = 0'); + assert((*result.data[7]) == FixedTrait::new_unscaled(0,false), 'result[7] = 0'); + + + + + + + + + // axis = 2 exclusive = false and reverse = false + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(false), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(2,false), 'result[2] = 2'); + assert((*result.data[3]) == FixedTrait::new_unscaled(5,false), 'result[3] = 5'); + assert((*result.data[4]) == FixedTrait::new_unscaled(4,false), 'result[4] = 4'); + assert((*result.data[5]) == FixedTrait::new_unscaled(9,false), 'result[5] = 9'); + assert((*result.data[6]) == FixedTrait::new_unscaled(6,false), 'result[6] = 6'); + assert((*result.data[7]) == FixedTrait::new_unscaled(13,false), 'result[7] = 13'); + + // axis = 2 exclusive = false and reverse = true + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(false), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(1,false), 'result[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(1,false), 'result[1] = 1'); + assert((*result.data[2]) == FixedTrait::new_unscaled(5,false), 'result[2] = 5'); + assert((*result.data[3]) == FixedTrait::new_unscaled(3,false), 'result[3] = 3'); + assert((*result.data[4]) == FixedTrait::new_unscaled(9,false), 'result[4] = 9'); + assert((*result.data[5]) == FixedTrait::new_unscaled(5,false), 'result[5] = 5'); + assert((*result.data[6]) == FixedTrait::new_unscaled(13,false), 'result[6] = 13'); + assert((*result.data[7]) == FixedTrait::new_unscaled(7,false), 'result[7] = 7'); + + // axis = 2 exclusive = true and reverse = false + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(true), Option::Some(false)); + assert((*result.data[0]) == FixedTrait::new_unscaled(0,false), 'result[0] = 0'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(0,false), 'result[2] = 0'); + assert((*result.data[3]) == FixedTrait::new_unscaled(2,false), 'result[3] = 2'); + assert((*result.data[4]) == FixedTrait::new_unscaled(0,false), 'result[4] = 0'); + assert((*result.data[5]) == FixedTrait::new_unscaled(4,false), 'result[5] = 4'); + assert((*result.data[6]) == FixedTrait::new_unscaled(0,false), 'result[6] = 0'); + assert((*result.data[7]) == FixedTrait::new_unscaled(6,false), 'result[7] = 6'); + + // axis = 2 exclusive = true and reverse = true + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(true), Option::Some(true)); + assert((*result.data[0]) == FixedTrait::new_unscaled(1,false), 'result[0] = 1'); + assert((*result.data[1]) == FixedTrait::new_unscaled(0,false), 'result[1] = 0'); + assert((*result.data[2]) == FixedTrait::new_unscaled(3,false), 'result[2] = 3'); + assert((*result.data[3]) == FixedTrait::new_unscaled(0,false), 'result[3] = 0'); + assert((*result.data[4]) == FixedTrait::new_unscaled(5,false), 'result[4] = 5'); + assert((*result.data[5]) == FixedTrait::new_unscaled(0,false), 'result[5] = 0'); + assert((*result.data[6]) == FixedTrait::new_unscaled(7,false), 'result[6] = 7'); + assert((*result.data[7]) == FixedTrait::new_unscaled(0,false), 'result[7] = 0'); + + } + +} diff --git a/src/tests/operators/tensor/math/cumsum/cumsum_i32_test.cairo b/src/tests/operators/tensor/math/cumsum/cumsum_i32_test.cairo new file mode 100644 index 000000000..2c7cdcc5d --- /dev/null +++ b/src/tests/operators/tensor/math/cumsum/cumsum_i32_test.cairo @@ -0,0 +1,389 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::{ArrayTrait, SpanTrait}; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + + #[test] + #[available_gas(20000000)] + fn default_parameters() { + let tensor = i32_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::None(()), Option::None(())); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 3, 'result[2] = 3'); + } + + #[test] + #[available_gas(20000000)] + fn changed_parameters() { + + // exclusive = false and reverse = false + let tensor = i32_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 3, 'result[2] = 3'); + + // exclusive = false and reverse = true + let tensor = i32_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(true)); + assert((*result.data[0]).into() == 3, 'result[0] = 3'); + assert((*result.data[1]).into() == 3, 'result[1] = 3'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + + // exclusive = true and reverse = false + let tensor = i32_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 1, 'result[2] = 1'); + + // exclusive = true and reverse = true + let tensor = i32_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(true)); + assert((*result.data[0]).into() == 3, 'result[0] = 3'); + assert((*result.data[1]).into() == 2, 'result[1] = 2'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + + } + +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::{ArrayTrait, SpanTrait}; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + + #[test] + #[available_gas(20000000)] + fn default_parameters() { + let tensor = i32_tensor_2x2_helper(); + // axis = 0 + let result = tensor.cumsum(0, Option::None(()), Option::None(())); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 4, 'result[3] = 4'); + + // axis = 1 + let result = tensor.cumsum(1, Option::None(()), Option::None(())); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 5, 'result[3] = 5'); + } + + + #[test] + #[available_gas(20000000)] + fn changed_parameters() { + + // axis = 0 exclusive = false and reverse = false + let tensor = i32_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 4, 'result[3] = 4'); + + // axis = 0 exclusive = false and reverse = true + let tensor = i32_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(true)); + assert((*result.data[0]).into() == 2, 'result[0] = 2'); + assert((*result.data[1]).into() == 4, 'result[1] = 4'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + + // axis = 0 exclusive = true and reverse = false + let tensor = i32_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + assert((*result.data[3]).into() == 1, 'result[3] = 1'); + + // axis = 0 exclusive = true and reverse = true + let tensor = i32_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(true)); + assert((*result.data[0]).into() == 2, 'result[0] = 2'); + assert((*result.data[1]).into() == 3, 'result[1] = 3'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + assert((*result.data[3]).into() == 0, 'result[3] = 0'); + + + + + + // axis = 1 exclusive = false and reverse = false + let tensor = i32_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 5, 'result[3] = 5'); + + // axis = 1 exclusive = false and reverse = true + let tensor = i32_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(true)); + assert((*result.data[0]).into() == 1, 'result[0] = 1'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 5, 'result[2] = 5'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + + // axis = 1 exclusive = true and reverse = false + let tensor = i32_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + assert((*result.data[3]).into() == 2, 'result[3] = 2'); + + // axis = 1 exclusive = true and reverse = true + let tensor = i32_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(true)); + assert((*result.data[0]).into() == 1, 'result[0] = 1'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 3, 'result[2] = 3'); + assert((*result.data[3]).into() == 0, 'result[3] = 0'); + + } + + + +} + + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::{ArrayTrait, SpanTrait}; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + + + #[test] + #[available_gas(20000000)] + fn default_parameters() { + let tensor = i32_tensor_2x2x2_helper(); + + // axis = 0 + let result = tensor.cumsum(0, Option::None(()), Option::None(())); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 6, 'result[5] = 6'); + assert((*result.data[6]).into() == 8, 'result[6] = 8'); + assert((*result.data[7]).into() == 10,'result[7] = 10'); + + + // axis = 1 + let result = tensor.cumsum(1, Option::None(()), Option::None(())); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 4, 'result[3] = 4'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 5, 'result[5] = 5'); + assert((*result.data[6]).into() == 10, 'result[6] = 10'); + assert((*result.data[7]).into() == 12, 'result[7] = 12'); + + + // axis = 2 + let result = tensor.cumsum(2, Option::None(()), Option::None(())); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 5, 'result[3] = 5'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 9, 'result[5] = 9'); + assert((*result.data[6]).into() == 6, 'result[6] = 6'); + assert((*result.data[7]).into() == 13, 'result[7] = 13'); + } + + + + #[test] + #[available_gas(40000000)] + fn changed_parameters() { + + // axis = 0 exclusive = false and reverse = false + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 6, 'result[5] = 6'); + assert((*result.data[6]).into() == 8, 'result[6] = 8'); + assert((*result.data[7]).into() == 10, 'result[7] = 10'); + + // axis = 0 exclusive = false and reverse = true + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(true)); + assert((*result.data[0]).into() == 4, 'result[0] = 4'); + assert((*result.data[1]).into() == 6, 'result[1] = 6'); + assert((*result.data[2]).into() == 8, 'result[2] = 8'); + assert((*result.data[3]).into() == 10, 'result[3] = 10'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 5, 'result[5] = 5'); + assert((*result.data[6]).into() == 6, 'result[6] = 6'); + assert((*result.data[7]).into() == 7, 'result[7] = 7'); + + // axis = 0 exclusive = true and reverse = false + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + assert((*result.data[3]).into() == 0, 'result[3] = 0'); + assert((*result.data[4]).into() == 0, 'result[4] = 0'); + assert((*result.data[5]).into() == 1, 'result[5] = 1'); + assert((*result.data[6]).into() == 2, 'result[6] = 2'); + assert((*result.data[7]).into() == 3, 'result[7] = 3'); + + // axis = 0 exclusive = true and reverse = true + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(true)); + assert((*result.data[0]).into() == 4, 'result[0] = 4'); + assert((*result.data[1]).into() == 5, 'result[1] = 5'); + assert((*result.data[2]).into() == 6, 'result[2] = 6'); + assert((*result.data[3]).into() == 7, 'result[3] = 7'); + assert((*result.data[4]).into() == 0, 'result[4] = 0'); + assert((*result.data[5]).into() == 0, 'result[5] = 0'); + assert((*result.data[6]).into() == 0, 'result[6] = 0'); + assert((*result.data[7]).into() == 0, 'result[7] = 0'); + + + + + + + // axis = 1 exclusive = false and reverse = false + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 4, 'result[3] = 4'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 5, 'result[5] = 5'); + assert((*result.data[6]).into() == 10, 'result[6] = 10'); + assert((*result.data[7]).into() == 12, 'result[7] = 12'); + + + // axis = 1 exclusive = false and reverse = true + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(true)); + assert((*result.data[0]).into() == 2, 'result[0] = 2'); + assert((*result.data[1]).into() == 4, 'result[1] = 4'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + assert((*result.data[4]).into() == 10, 'result[4] = 10'); + assert((*result.data[5]).into() == 12, 'result[5] = 12'); + assert((*result.data[6]).into() == 6, 'result[6] = 6'); + assert((*result.data[7]).into() == 7, 'result[7] = 7'); + + + // axis = 1 exclusive = true and reverse = false + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + assert((*result.data[3]).into() == 1, 'result[3] = 1'); + assert((*result.data[4]).into() == 0, 'result[4] = 0'); + assert((*result.data[5]).into() == 0, 'result[5] = 0'); + assert((*result.data[6]).into() == 4, 'result[6] = 4'); + assert((*result.data[7]).into() == 5, 'result[7] = 5'); + + // axis = 1 exclusive = true and reverse = true + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(true)); + assert((*result.data[0]).into() == 2, 'result[0] = 2'); + assert((*result.data[1]).into() == 3, 'result[1] = 3'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + assert((*result.data[3]).into() == 0, 'result[3] = 0'); + assert((*result.data[4]).into() == 6, 'result[4] = 6'); + assert((*result.data[5]).into() == 7, 'result[5] = 7'); + assert((*result.data[6]).into() == 0, 'result[6] = 0'); + assert((*result.data[7]).into() == 0, 'result[7] = 0'); + + + + + + + + + // axis = 2 exclusive = false and reverse = false + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(false), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 5, 'result[3] = 5'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 9, 'result[5] = 9'); + assert((*result.data[6]).into() == 6, 'result[6] = 6'); + assert((*result.data[7]).into() == 13, 'result[7] = 13'); + + + // axis = 2 exclusive = false and reverse = true + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(false), Option::Some(true)); + assert((*result.data[0]).into() == 1, 'result[0] = 1'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 5, 'result[2] = 5'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + assert((*result.data[4]).into() == 9, 'result[4] = 9'); + assert((*result.data[5]).into() == 5, 'result[5] = 5'); + assert((*result.data[6]).into() == 13, 'result[6] = 13'); + assert((*result.data[7]).into() == 7, 'result[7] = 7'); + + // axis = 2 exclusive = true and reverse = false + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(true), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + assert((*result.data[3]).into() == 2, 'result[3] = 2'); + assert((*result.data[4]).into() == 0, 'result[4] = 0'); + assert((*result.data[5]).into() == 4, 'result[5] = 4'); + assert((*result.data[6]).into() == 0, 'result[6] = 0'); + assert((*result.data[7]).into() == 6, 'result[7] = 6'); + + // axis = 2 exclusive = true and reverse = true + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(true), Option::Some(true)); + assert((*result.data[0]).into() == 1, 'result[0] = 1'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 3, 'result[2] = 3'); + assert((*result.data[3]).into() == 0, 'result[3] = 0'); + assert((*result.data[4]).into() == 5, 'result[4] = 5'); + assert((*result.data[5]).into() == 0, 'result[5] = 0'); + assert((*result.data[6]).into() == 7, 'result[6] = 7'); + assert((*result.data[7]).into() == 0, 'result[7] = 0'); + + } + +} diff --git a/src/tests/operators/tensor/math/cumsum/cumsum_u32_test.cairo b/src/tests/operators/tensor/math/cumsum/cumsum_u32_test.cairo new file mode 100644 index 000000000..5d13818e9 --- /dev/null +++ b/src/tests/operators/tensor/math/cumsum/cumsum_u32_test.cairo @@ -0,0 +1,389 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::{ArrayTrait, SpanTrait}; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + + #[test] + #[available_gas(20000000)] + fn default_parameters() { + let tensor = u32_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::None(()), Option::None(())); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 3, 'result[2] = 3'); + } + + #[test] + #[available_gas(20000000)] + fn changed_parameters() { + + // exclusive = false and reverse = false + let tensor = u32_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 3, 'result[2] = 3'); + + // exclusive = false and reverse = true + let tensor = u32_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(true)); + assert((*result.data[0]).into() == 3, 'result[0] = 3'); + assert((*result.data[1]).into() == 3, 'result[1] = 3'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + + // exclusive = true and reverse = false + let tensor = u32_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 1, 'result[2] = 1'); + + // exclusive = true and reverse = true + let tensor = u32_tensor_1x3_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(true)); + assert((*result.data[0]).into() == 3, 'result[0] = 3'); + assert((*result.data[1]).into() == 2, 'result[1] = 2'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + + } + +} + + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::{ArrayTrait, SpanTrait}; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + + #[test] + #[available_gas(20000000)] + fn default_parameters() { + let tensor = u32_tensor_2x2_helper(); + // axis = 0 + let result = tensor.cumsum(0, Option::None(()), Option::None(())); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 4, 'result[3] = 4'); + + // axis = 1 + let result = tensor.cumsum(1, Option::None(()), Option::None(())); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 5, 'result[3] = 5'); + } + + + #[test] + #[available_gas(20000000)] + fn changed_parameters() { + + // axis = 0 exclusive = false and reverse = false + let tensor = u32_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 4, 'result[3] = 4'); + + // axis = 0 exclusive = false and reverse = true + let tensor = u32_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(true)); + assert((*result.data[0]).into() == 2, 'result[0] = 2'); + assert((*result.data[1]).into() == 4, 'result[1] = 4'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + + // axis = 0 exclusive = true and reverse = false + let tensor = u32_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + assert((*result.data[3]).into() == 1, 'result[3] = 1'); + + // axis = 0 exclusive = true and reverse = true + let tensor = u32_tensor_2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(true)); + assert((*result.data[0]).into() == 2, 'result[0] = 2'); + assert((*result.data[1]).into() == 3, 'result[1] = 3'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + assert((*result.data[3]).into() == 0, 'result[3] = 0'); + + + + + + // axis = 1 exclusive = false and reverse = false + let tensor = u32_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 5, 'result[3] = 5'); + + // axis = 1 exclusive = false and reverse = true + let tensor = u32_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(true)); + assert((*result.data[0]).into() == 1, 'result[0] = 1'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 5, 'result[2] = 5'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + + // axis = 1 exclusive = true and reverse = false + let tensor = u32_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + assert((*result.data[3]).into() == 2, 'result[3] = 2'); + + // axis = 1 exclusive = true and reverse = true + let tensor = u32_tensor_2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(true)); + assert((*result.data[0]).into() == 1, 'result[0] = 1'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 3, 'result[2] = 3'); + assert((*result.data[3]).into() == 0, 'result[3] = 0'); + + } + + + +} + + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::{ArrayTrait, SpanTrait}; + use core::traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, ExtraParams}; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + + + #[test] + #[available_gas(20000000)] + fn default_parameters() { + let tensor = u32_tensor_2x2x2_helper(); + + // axis = 0 + let result = tensor.cumsum(0, Option::None(()), Option::None(())); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 6, 'result[5] = 6'); + assert((*result.data[6]).into() == 8, 'result[6] = 8'); + assert((*result.data[7]).into() == 10,'result[7] = 10'); + + + // axis = 1 + let result = tensor.cumsum(1, Option::None(()), Option::None(())); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 4, 'result[3] = 4'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 5, 'result[5] = 5'); + assert((*result.data[6]).into() == 10, 'result[6] = 10'); + assert((*result.data[7]).into() == 12, 'result[7] = 12'); + + + // axis = 2 + let result = tensor.cumsum(2, Option::None(()), Option::None(())); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 5, 'result[3] = 5'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 9, 'result[5] = 9'); + assert((*result.data[6]).into() == 6, 'result[6] = 6'); + assert((*result.data[7]).into() == 13, 'result[7] = 13'); + } + + + + #[test] + #[available_gas(40000000)] + fn changed_parameters() { + + // axis = 0 exclusive = false and reverse = false + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 6, 'result[5] = 6'); + assert((*result.data[6]).into() == 8, 'result[6] = 8'); + assert((*result.data[7]).into() == 10, 'result[7] = 10'); + + // axis = 0 exclusive = false and reverse = true + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(false), Option::Some(true)); + assert((*result.data[0]).into() == 4, 'result[0] = 4'); + assert((*result.data[1]).into() == 6, 'result[1] = 6'); + assert((*result.data[2]).into() == 8, 'result[2] = 8'); + assert((*result.data[3]).into() == 10, 'result[3] = 10'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 5, 'result[5] = 5'); + assert((*result.data[6]).into() == 6, 'result[6] = 6'); + assert((*result.data[7]).into() == 7, 'result[7] = 7'); + + // axis = 0 exclusive = true and reverse = false + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + assert((*result.data[3]).into() == 0, 'result[3] = 0'); + assert((*result.data[4]).into() == 0, 'result[4] = 0'); + assert((*result.data[5]).into() == 1, 'result[5] = 1'); + assert((*result.data[6]).into() == 2, 'result[6] = 2'); + assert((*result.data[7]).into() == 3, 'result[7] = 3'); + + // axis = 0 exclusive = true and reverse = true + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.cumsum(0, Option::Some(true), Option::Some(true)); + assert((*result.data[0]).into() == 4, 'result[0] = 4'); + assert((*result.data[1]).into() == 5, 'result[1] = 5'); + assert((*result.data[2]).into() == 6, 'result[2] = 6'); + assert((*result.data[3]).into() == 7, 'result[3] = 7'); + assert((*result.data[4]).into() == 0, 'result[4] = 0'); + assert((*result.data[5]).into() == 0, 'result[5] = 0'); + assert((*result.data[6]).into() == 0, 'result[6] = 0'); + assert((*result.data[7]).into() == 0, 'result[7] = 0'); + + + + + + + // axis = 1 exclusive = false and reverse = false + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 4, 'result[3] = 4'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 5, 'result[5] = 5'); + assert((*result.data[6]).into() == 10, 'result[6] = 10'); + assert((*result.data[7]).into() == 12, 'result[7] = 12'); + + + // axis = 1 exclusive = false and reverse = true + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(false), Option::Some(true)); + assert((*result.data[0]).into() == 2, 'result[0] = 2'); + assert((*result.data[1]).into() == 4, 'result[1] = 4'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + assert((*result.data[4]).into() == 10, 'result[4] = 10'); + assert((*result.data[5]).into() == 12, 'result[5] = 12'); + assert((*result.data[6]).into() == 6, 'result[6] = 6'); + assert((*result.data[7]).into() == 7, 'result[7] = 7'); + + + // axis = 1 exclusive = true and reverse = false + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + assert((*result.data[3]).into() == 1, 'result[3] = 1'); + assert((*result.data[4]).into() == 0, 'result[4] = 0'); + assert((*result.data[5]).into() == 0, 'result[5] = 0'); + assert((*result.data[6]).into() == 4, 'result[6] = 4'); + assert((*result.data[7]).into() == 5, 'result[7] = 5'); + + // axis = 1 exclusive = true and reverse = true + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.cumsum(1, Option::Some(true), Option::Some(true)); + assert((*result.data[0]).into() == 2, 'result[0] = 2'); + assert((*result.data[1]).into() == 3, 'result[1] = 3'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + assert((*result.data[3]).into() == 0, 'result[3] = 0'); + assert((*result.data[4]).into() == 6, 'result[4] = 6'); + assert((*result.data[5]).into() == 7, 'result[5] = 7'); + assert((*result.data[6]).into() == 0, 'result[6] = 0'); + assert((*result.data[7]).into() == 0, 'result[7] = 0'); + + + + + + + + + // axis = 2 exclusive = false and reverse = false + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(false), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 2, 'result[2] = 2'); + assert((*result.data[3]).into() == 5, 'result[3] = 5'); + assert((*result.data[4]).into() == 4, 'result[4] = 4'); + assert((*result.data[5]).into() == 9, 'result[5] = 9'); + assert((*result.data[6]).into() == 6, 'result[6] = 6'); + assert((*result.data[7]).into() == 13, 'result[7] = 13'); + + + // axis = 2 exclusive = false and reverse = true + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(false), Option::Some(true)); + assert((*result.data[0]).into() == 1, 'result[0] = 1'); + assert((*result.data[1]).into() == 1, 'result[1] = 1'); + assert((*result.data[2]).into() == 5, 'result[2] = 5'); + assert((*result.data[3]).into() == 3, 'result[3] = 3'); + assert((*result.data[4]).into() == 9, 'result[4] = 9'); + assert((*result.data[5]).into() == 5, 'result[5] = 5'); + assert((*result.data[6]).into() == 13, 'result[6] = 13'); + assert((*result.data[7]).into() == 7, 'result[7] = 7'); + + // axis = 2 exclusive = true and reverse = false + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(true), Option::Some(false)); + assert((*result.data[0]).into() == 0, 'result[0] = 0'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 0, 'result[2] = 0'); + assert((*result.data[3]).into() == 2, 'result[3] = 2'); + assert((*result.data[4]).into() == 0, 'result[4] = 0'); + assert((*result.data[5]).into() == 4, 'result[5] = 4'); + assert((*result.data[6]).into() == 0, 'result[6] = 0'); + assert((*result.data[7]).into() == 6, 'result[7] = 6'); + + // axis = 2 exclusive = true and reverse = true + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.cumsum(2, Option::Some(true), Option::Some(true)); + assert((*result.data[0]).into() == 1, 'result[0] = 1'); + assert((*result.data[1]).into() == 0, 'result[1] = 0'); + assert((*result.data[2]).into() == 3, 'result[2] = 3'); + assert((*result.data[3]).into() == 0, 'result[3] = 0'); + assert((*result.data[4]).into() == 5, 'result[4] = 5'); + assert((*result.data[5]).into() == 0, 'result[5] = 0'); + assert((*result.data[6]).into() == 7, 'result[6] = 7'); + assert((*result.data[7]).into() == 0, 'result[7] = 0'); + + } + +} From 538aff4953017618a697c5842b9c06bc770ea440 Mon Sep 17 00:00:00 2001 From: Lanre Ojetokun Date: Sat, 24 Jun 2023 00:53:53 +0100 Subject: [PATCH 055/126] update docs --- docs/CHANGELOG.md | 5 ++ docs/SUMMARY.md | 1 + docs/apis/compatibility.md | 3 +- docs/apis/operators/tensor/README.md | 1 + docs/apis/operators/tensor/tensor.cumsum.md | 66 +++++++++++++++++++++ 5 files changed, 75 insertions(+), 1 deletion(-) create mode 100644 docs/apis/operators/tensor/tensor.cumsum.md diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md index 07a79e56e..e21d1ee07 100644 --- a/docs/CHANGELOG.md +++ b/docs/CHANGELOG.md @@ -4,6 +4,11 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [Unreleased] - 2023-06-24 + +### Added +- Added cumsum operator + ## [Unreleased] - 2023-06-23 ### Changed diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md index acb9390a0..ef5095919 100644 --- a/docs/SUMMARY.md +++ b/docs/SUMMARY.md @@ -33,6 +33,7 @@ * [tensor.less\_equal](apis/operators/tensor/tensor.less\_equal.md) * [tensor.abs](apis/operators/tensor/tensor.abs.md) * [tensor.ceil](apis/operators/tensor/tensor.ceil.md) + * [tensor.cumsum](apis/operators/tensor/tensor.cumsum.md) * [Neural Network](apis/operators/neural-network/README.md) * [nn.relu](apis/operators/neural-network/nn.relu.md) * [nn.leaky\_relu](apis/operators/neural-network/nn.leaky\_relu.md) diff --git a/docs/apis/compatibility.md b/docs/apis/compatibility.md index ab9b860c0..3fe3c88bc 100644 --- a/docs/apis/compatibility.md +++ b/docs/apis/compatibility.md @@ -32,6 +32,7 @@ You can see below the list of current supported ONNX Operators: | Softsign | :white_check_mark: | | Softplus | :white_check_mark: | | Linear | :white_check_mark: | +| Cumsum | :white_check_mark: | Performance optimizations: @@ -39,4 +40,4 @@ Performance optimizations: | :----------------: | :----------------: | | 8-bit quantization | :white_check_mark: | -Current Operators support: **24/156 (15%)** +Current Operators support: **27/156 (17%)** diff --git a/docs/apis/operators/tensor/README.md b/docs/apis/operators/tensor/README.md index 60792c4db..8ebec5cc7 100644 --- a/docs/apis/operators/tensor/README.md +++ b/docs/apis/operators/tensor/README.md @@ -73,6 +73,7 @@ use orion::operators::tensor::core::TensorTrait; | [`tensor.less_equal`](tensor.less\_equal.md) | Check if each element of the first tensor is less than or equal to the corresponding element of the second tensor. | | [`tensor.abs`](tensor.abs.md) | Computes the absolute value of all elements in the input tensor. | | [`tensor.ceil`](tensor.ceil.md) | Rounds up the value of each element in the input tensor. | +| [`tensor.cumsum`](tensor.cumsum.md) | Returns the cumulative sum of the elements along a given axis. | ### Arithmetic Operations diff --git a/docs/apis/operators/tensor/tensor.cumsum.md b/docs/apis/operators/tensor/tensor.cumsum.md new file mode 100644 index 000000000..91f64d6f4 --- /dev/null +++ b/docs/apis/operators/tensor/tensor.cumsum.md @@ -0,0 +1,66 @@ +# tensor.cumsum + +```rust +fn cumsum(self: @Tensor, axis: usize, exclusive: Option, reverse: Option) -> Tensor; +``` + +Performs cumulative sum of the input elements along the given axis. + +## Args + +* `self`(`@Tensor`) - The input tensor. +* `axis`(`usize`) - The axis along which to compute the cumulative sum. +* `exclusive`(`Option`) - By default, it will do the sum inclusively meaning the first element is copied as is. +* `reverse`(`Option`) - If true, the cumulative sum is performed in the opposite direction. Defaults to false. + +## Panics + +* Panics if axis is not in the range of the input tensor's dimensions. + +## Returns + +A new `Tensor` instance containing the cumulative sum of the input tensor's elements along the given axis. + +## Examples + +Case 1: cumsum with default parameters + +```rust +fn cumsum_example() -> Tensor { +// We instantiate a 3D Tensor here. +// [[[0,1],[2,3]],[[4,5],[6,7]]] +let tensor = u32_tensor_2x2x2_helper(); + +// We can call `cumsum` function as follows. +return tensor.cumsum(2,Option::None(()),Option::None(())); +} +>>> [[[0,1],[2,5]],[[4,9],[6,13]]] +``` + +Case 2: cumsum with exclusive = true + +```rust +fn cumsum_example() -> Tensor { +// We instantiate a 3D Tensor here. +// [[[0,1],[2,3]],[[4,5],[6,7]]] +let tensor = u32_tensor_2x2x2_helper(); + +// We can call `cumsum` function as follows. +return tensor.cumsum(2,Option::Some(true),Option::None(())); +} +>>> [[[0,0],[0,2]],[[0,4],[0,6]]] +``` + +Case 3: cumsum with exclusive = true and reverse = true + +```rust +fn cumsum_example() -> Tensor { +// We instantiate a 3D Tensor here. +// [[[0,1],[2,3]],[[4,5],[6,7]]] +let tensor = u32_tensor_2x2x2_helper(); + +// We can call `cumsum` function as follows. +return tensor.cumsum(2,Option::Some(true),Option::Some(true)); +} +>>> [[[1,0],[3,0]],[[5,0],[7,0]]] +``` From c2b9cf2167a460a2dd076de9f5937c86eeccfd2f Mon Sep 17 00:00:00 2001 From: Hakeem Kazeem Date: Tue, 27 Jun 2023 13:58:01 +0100 Subject: [PATCH 056/126] Sin implementation --- src/numbers.cairo | 1 + src/numbers/fixed_point/core.cairo | 2 + .../implementations/impl_16x16.cairo | 8 +- .../implementations/impl_8x23.cairo | 6 + src/numbers/fixed_point/math/math_16x16.cairo | 34 +- src/numbers/fixed_point/math/math_8x23.cairo | 31 +- src/operators.cairo | 1 + src/operators/tensor/core.cairo | 11 +- .../implementations/impl_tensor_fp.cairo | 20 +- .../implementations/impl_tensor_i32.cairo | 14 +- .../implementations/impl_tensor_u32.cairo | 15 +- src/operators/tensor/math.cairo | 1 + src/operators/tensor/math/sin.cairo | 3 + src/operators/tensor/math/sin/sin_fp.cairo | 3 + .../tensor/math/sin/sin_fp/core.cairo | 18 + .../tensor/math/sin/sin_fp/fp16x16.cairo | 28 ++ .../tensor/math/sin/sin_fp/fp8x23.cairo | 28 ++ src/operators/tensor/math/sin/sin_i32.cairo | 3 + .../tensor/math/sin/sin_i32/core.cairo | 19 + .../tensor/math/sin/sin_i32/fp16x16.cairo | 37 ++ .../tensor/math/sin/sin_i32/fp8x23.cairo | 37 ++ src/operators/tensor/math/sin/sin_u32.cairo | 3 + .../tensor/math/sin/sin_u32/core.cairo | 19 + .../tensor/math/sin/sin_u32/fp16x16.cairo | 31 ++ .../tensor/math/sin/sin_u32/fp8x23.cairo | 31 ++ src/tests.cairo | 7 +- src/tests/numbers.cairo | 2 +- src/tests/numbers/fixed_point.cairo | 2 +- .../numbers/fixed_point/fp16x16_test.cairo | 24 +- .../numbers/fixed_point/fp8x23_test.cairo | 23 +- src/tests/numbers/signed_integer_test.cairo | 449 +++++++++--------- src/tests/operators/nn.cairo | 2 +- src/tests/operators/tensor.cairo | 2 +- src/tests/operators/tensor/math.cairo | 1 + src/tests/operators/tensor/math/sin.cairo | 4 + .../tensor/math/sin/sin_fp_test.cairo | 2 + .../sin/sin_fp_test/sin_fp16x16_test.cairo | 84 ++++ .../sin/sin_fp_test/sin_fp8x23_test.cairo | 84 ++++ .../tensor/math/sin/sin_i32_test.cairo | 84 ++++ .../tensor/math/sin/sin_u32_test.cairo | 80 ++++ 40 files changed, 1009 insertions(+), 245 deletions(-) create mode 100644 src/operators/tensor/math/sin.cairo create mode 100644 src/operators/tensor/math/sin/sin_fp.cairo create mode 100644 src/operators/tensor/math/sin/sin_fp/core.cairo create mode 100644 src/operators/tensor/math/sin/sin_fp/fp16x16.cairo create mode 100644 src/operators/tensor/math/sin/sin_fp/fp8x23.cairo create mode 100644 src/operators/tensor/math/sin/sin_i32.cairo create mode 100644 src/operators/tensor/math/sin/sin_i32/core.cairo create mode 100644 src/operators/tensor/math/sin/sin_i32/fp16x16.cairo create mode 100644 src/operators/tensor/math/sin/sin_i32/fp8x23.cairo create mode 100644 src/operators/tensor/math/sin/sin_u32.cairo create mode 100644 src/operators/tensor/math/sin/sin_u32/core.cairo create mode 100644 src/operators/tensor/math/sin/sin_u32/fp16x16.cairo create mode 100644 src/operators/tensor/math/sin/sin_u32/fp8x23.cairo create mode 100644 src/tests/operators/tensor/math/sin.cairo create mode 100644 src/tests/operators/tensor/math/sin/sin_fp_test.cairo create mode 100644 src/tests/operators/tensor/math/sin/sin_fp_test/sin_fp16x16_test.cairo create mode 100644 src/tests/operators/tensor/math/sin/sin_fp_test/sin_fp8x23_test.cairo create mode 100644 src/tests/operators/tensor/math/sin/sin_i32_test.cairo create mode 100644 src/tests/operators/tensor/math/sin/sin_u32_test.cairo diff --git a/src/numbers.cairo b/src/numbers.cairo index fdbf79664..33d5f87bc 100644 --- a/src/numbers.cairo +++ b/src/numbers.cairo @@ -1,2 +1,3 @@ mod fixed_point; mod signed_integer; + diff --git a/src/numbers/fixed_point/core.cairo b/src/numbers/fixed_point/core.cairo index 58d939f18..027c79460 100644 --- a/src/numbers/fixed_point/core.cairo +++ b/src/numbers/fixed_point/core.cairo @@ -481,4 +481,6 @@ trait FixedTrait { /// ``` /// fn sqrt(self: FixedType) -> FixedType; + + fn sin(self: FixedType) -> FixedType; } diff --git a/src/numbers/fixed_point/implementations/impl_16x16.cairo b/src/numbers/fixed_point/implementations/impl_16x16.cairo index 943df4761..2e8f59869 100644 --- a/src/numbers/fixed_point/implementations/impl_16x16.cairo +++ b/src/numbers/fixed_point/implementations/impl_16x16.cairo @@ -13,6 +13,9 @@ const ONE_u64: u64 = 65536; // 2 ** 16 const HALF: u128 = 32768; // 2 ** 15 const MAX: u128 = 4294967295; // 2 ** 32 - 1 const MIN_MAG: u128 = 4294967296; // 2 ** 32 +const PI: u128 = 205887_u128; +const HALF_PI: u128 = 102943_u128; + /// IMPLS @@ -77,10 +80,13 @@ impl FP16x16Impl of FixedTrait { return math_16x16::round(self); } - fn sqrt(self: FixedType) -> FixedType { return math_16x16::sqrt(self); } + + fn sin(self: FixedType) -> FixedType { + return math_16x16::sin(self); + } } impl FP16x16Print of PrintTrait { diff --git a/src/numbers/fixed_point/implementations/impl_8x23.cairo b/src/numbers/fixed_point/implementations/impl_8x23.cairo index 97428ddf3..a290e3f2c 100644 --- a/src/numbers/fixed_point/implementations/impl_8x23.cairo +++ b/src/numbers/fixed_point/implementations/impl_8x23.cairo @@ -13,6 +13,8 @@ const ONE_u64: u64 = 8388608; // 2 ** 23 const HALF: u128 = 4194304; // 2 ** 22 const MAX: u128 = 2147483647; // 2 ** 31 - 1 const MIN_MAG: u128 = 2147483648; // 2 ** 31 +const PI: u128 = 26353589_u128; +const HALF_PI: u128 = 13176794_u128; /// IMPLS @@ -81,6 +83,10 @@ impl FP8x23Impl of FixedTrait { fn sqrt(self: FixedType) -> FixedType { return math_8x23::sqrt(self); } + + fn sin(self: FixedType) -> FixedType { + return math_8x23::sin(self); + } } impl FP8x23Print of PrintTrait { diff --git a/src/numbers/fixed_point/math/math_16x16.cairo b/src/numbers/fixed_point/math/math_16x16.cairo index 9b8354928..a88998ec0 100644 --- a/src/numbers/fixed_point/math/math_16x16.cairo +++ b/src/numbers/fixed_point/math/math_16x16.cairo @@ -1,6 +1,9 @@ +use core::debug::PrintTrait; use traits::Into; -use orion::numbers::fixed_point::implementations::impl_16x16::{ONE, ONE_u64, MAX, HALF}; +use orion::numbers::fixed_point::implementations::impl_16x16::{ + ONE, ONE_u64, MAX, HALF, PI, HALF_PI +}; use orion::numbers::fixed_point::implementations::impl_16x16::{ FP16x16Impl, FP16x16Add, FP16x16AddEq, FP16x16Into, FP16x16Print, FP16x16PartialEq, FP16x16Sub, FP16x16SubEq, FP16x16Mul, FP16x16MulEq, FP16x16Div, FP16x16DivEq, FP16x16PartialOrd, FP16x16Neg @@ -339,6 +342,35 @@ fn sqrt(a: FixedType) -> FixedType { return FixedTrait::new(res_u64.into(), false); } +fn sin(a: FixedType) -> FixedType { + let a1_u128 = a.mag % (2_u128 * PI); + let whole_rem = a1_u128 / PI; + let a2 = FixedType { mag: a1_u128 % PI, sign: false }; + let mut partial_sign = false; + + if (whole_rem == 1_u128) { + partial_sign = true; + } + + let acc = FixedType { mag: ONE, sign: false }; + let loop_res = a2 * _sin_loop(a2, 7_u128, acc); + let res_sign = a.sign ^ partial_sign; + return FixedType { mag: loop_res.mag, sign: res_sign }; +} + +// Helper function to calculate Taylor series for sin +fn _sin_loop(a: FixedType, i: u128, acc: FixedType) -> FixedType { + let div_u128 = (2_u128 * i + 2_u128) * (2_u128 * i + 3_u128); + let term = a * a * acc / FixedTrait::new_unscaled(div_u128, false); + let new_acc = FixedTrait::new(ONE, false) - term; + + if (i == 0_u128) { + return new_acc; + } + + return _sin_loop(a, i - 1_u128, new_acc); +} + /// Subtracts one fixed point number from another. /// /// # Arguments diff --git a/src/numbers/fixed_point/math/math_8x23.cairo b/src/numbers/fixed_point/math/math_8x23.cairo index 658d0c86b..52db7713b 100644 --- a/src/numbers/fixed_point/math/math_8x23.cairo +++ b/src/numbers/fixed_point/math/math_8x23.cairo @@ -1,6 +1,6 @@ use traits::Into; -use orion::numbers::fixed_point::implementations::impl_8x23::{ONE, ONE_u64, MAX, HALF}; +use orion::numbers::fixed_point::implementations::impl_8x23::{ONE, ONE_u64, MAX, HALF, PI, HALF_PI}; use orion::numbers::fixed_point::implementations::impl_8x23::{ FP8x23Impl, FP8x23Add, FP8x23AddEq, FP8x23Into, FP8x23Print, FP8x23PartialEq, FP8x23Sub, FP8x23SubEq, FP8x23Mul, FP8x23MulEq, FP8x23Div, FP8x23DivEq, FP8x23PartialOrd, FP8x23Neg @@ -341,6 +341,35 @@ fn sqrt(a: FixedType) -> FixedType { return FixedTrait::new(res_u64.into(), false); } + +fn sin(a: FixedType) -> FixedType { + let a1_u128 = a.mag % (2_u128 * PI); + let whole_rem = a1_u128 / PI; + let a2 = FixedType { mag: a1_u128 % PI, sign: false }; + let mut partial_sign = false; + + if (whole_rem == 1_u128) { + partial_sign = true; + } + + let acc = FixedType { mag: ONE, sign: false }; + let loop_res = a2 * _sin_loop(a2, 7_u128, acc); + let res_sign = a.sign ^ partial_sign; + return FixedType { mag: loop_res.mag, sign: res_sign }; +} + +// Helper function to calculate Taylor series for sin +fn _sin_loop(a: FixedType, i: u128, acc: FixedType) -> FixedType { + let div_u128 = (2_u128 * i + 2_u128) * (2_u128 * i + 3_u128); + let term = a * a * acc / FixedTrait::new_unscaled(div_u128, false); + let new_acc = FixedTrait::new(ONE, false) - term; + + if (i == 0_u128) { + return new_acc; + } + + return _sin_loop(a, i - 1_u128, new_acc); +} /// Subtracts one fixed point number from another. /// /// # Arguments diff --git a/src/operators.cairo b/src/operators.cairo index 417995c32..989bc1209 100644 --- a/src/operators.cairo +++ b/src/operators.cairo @@ -1,2 +1,3 @@ mod tensor; mod nn; + diff --git a/src/operators/tensor/core.cairo b/src/operators/tensor/core.cairo index 571b4e95f..5cffdd596 100644 --- a/src/operators/tensor/core.cairo +++ b/src/operators/tensor/core.cairo @@ -535,7 +535,9 @@ trait TensorTrait { /// >>> [[[1,1],[1,1]]] /// ``` /// - fn argmax(self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option) -> Tensor; + fn argmax( + self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option + ) -> Tensor; /// # tensor.argmin /// /// ```rust @@ -603,7 +605,9 @@ trait TensorTrait { /// >>> [[[0,0],[1,1]]] /// ``` /// - fn argmin(self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option) -> Tensor; + fn argmin( + self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option + ) -> Tensor; /// # tensor.matmul /// /// ```rust @@ -1116,6 +1120,8 @@ trait TensorTrait { /// ``` /// fn ceil(self: @Tensor) -> Tensor; + + fn sin(self: @Tensor) -> Tensor; } /// Cf: TensorTrait::new docstring @@ -1219,3 +1225,4 @@ fn at_tensor(self: @Tensor, indices: Span) -> @T { return data.at(ravel_index(*self.shape, indices)); } + diff --git a/src/operators/tensor/implementations/impl_tensor_fp.cairo b/src/operators/tensor/implementations/impl_tensor_fp.cairo index 4920501a0..63af5b50c 100644 --- a/src/operators/tensor/implementations/impl_tensor_fp.cairo +++ b/src/operators/tensor/implementations/impl_tensor_fp.cairo @@ -29,6 +29,8 @@ use orion::operators::tensor::math::greater::greater_fp::core::greater; use orion::operators::tensor::math::greater_equal::greater_equal_fp::core::greater_equal; use orion::utils::check_gas; +use orion::operators::tensor::math::sin::sin_fp::core::sin; + impl Tensor_fp of TensorTrait { fn new( shape: Span, data: Span, extra: Option @@ -68,11 +70,21 @@ impl Tensor_fp of TensorTrait { reduce_sum(self, axis, keepdims).unwrap() } - fn argmax(self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option) -> Tensor { + fn argmax( + self: @Tensor, + axis: usize, + keepdims: Option, + select_last_index: Option + ) -> Tensor { argmax(self, axis, keepdims, select_last_index).unwrap() } - fn argmin(self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option) -> Tensor { + fn argmin( + self: @Tensor, + axis: usize, + keepdims: Option, + select_last_index: Option + ) -> Tensor { argmin(self, axis, keepdims, select_last_index).unwrap() } @@ -119,6 +131,10 @@ impl Tensor_fp of TensorTrait { fn ceil(self: @Tensor) -> Tensor { ceil(self).unwrap() } + + fn sin(self: @Tensor) -> Tensor { + sin(self).unwrap() + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/implementations/impl_tensor_i32.cairo b/src/operators/tensor/implementations/impl_tensor_i32.cairo index 4b6ccfd21..0cf1571e6 100644 --- a/src/operators/tensor/implementations/impl_tensor_i32.cairo +++ b/src/operators/tensor/implementations/impl_tensor_i32.cairo @@ -30,6 +30,8 @@ use orion::operators::tensor::math::ln::ln_i32::core::ln_i32; use orion::operators::tensor::math::arithmetic::arithmetic_i32::{add, sub, mul, div}; use orion::utils::check_gas; +use orion::operators::tensor::math::sin::sin_i32::core::sin_i32; + impl Tensor_i32 of TensorTrait { fn new(shape: Span, data: Span, extra: Option) -> Tensor { new_tensor(shape, data, extra) @@ -67,11 +69,15 @@ impl Tensor_i32 of TensorTrait { reduce_sum(self, axis, keepdims) } - fn argmax(self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option) -> Tensor { + fn argmax( + self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option + ) -> Tensor { argmax(self, axis, keepdims, select_last_index) } - fn argmin(self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option) -> Tensor { + fn argmin( + self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option + ) -> Tensor { argmin(self, axis, keepdims, select_last_index) } @@ -118,6 +124,10 @@ impl Tensor_i32 of TensorTrait { fn ceil(self: @Tensor) -> Tensor { ceil(self) } + + fn sin(self: @Tensor) -> Tensor { + sin_i32(self).unwrap() + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/implementations/impl_tensor_u32.cairo b/src/operators/tensor/implementations/impl_tensor_u32.cairo index 9c0ca8838..1aaa7516c 100644 --- a/src/operators/tensor/implementations/impl_tensor_u32.cairo +++ b/src/operators/tensor/implementations/impl_tensor_u32.cairo @@ -29,6 +29,9 @@ use orion::operators::tensor::math::ln::ln_u32::core::ln_u32; use orion::operators::tensor::math::arithmetic::arithmetic_u32::{add, sub, mul, div}; use orion::utils::check_gas; +use orion::operators::tensor::math::sin::sin_u32::core::sin_u32; + + impl Tensor_u32 of TensorTrait { fn new(shape: Span, data: Span, extra: Option) -> Tensor { new_tensor(shape, data, extra) @@ -66,11 +69,15 @@ impl Tensor_u32 of TensorTrait { reduce_sum(self, axis, keepdims) } - fn argmax(self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option) -> Tensor { + fn argmax( + self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option + ) -> Tensor { argmax(self, axis, keepdims, select_last_index) } - fn argmin(self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option) -> Tensor { + fn argmin( + self: @Tensor, axis: usize, keepdims: Option, select_last_index: Option + ) -> Tensor { argmin(self, axis, keepdims, select_last_index) } @@ -118,6 +125,10 @@ impl Tensor_u32 of TensorTrait { fn ceil(self: @Tensor) -> Tensor { ceil(self) } + + fn sin(self: @Tensor) -> Tensor { + sin_u32(self).unwrap() + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/math.cairo b/src/operators/tensor/math.cairo index b73d95f4b..61bb90abe 100644 --- a/src/operators/tensor/math.cairo +++ b/src/operators/tensor/math.cairo @@ -13,3 +13,4 @@ mod less; mod less_equal; mod abs; mod ceil; +mod sin; diff --git a/src/operators/tensor/math/sin.cairo b/src/operators/tensor/math/sin.cairo new file mode 100644 index 000000000..82cdfb23f --- /dev/null +++ b/src/operators/tensor/math/sin.cairo @@ -0,0 +1,3 @@ +mod sin_i32; +mod sin_u32; +mod sin_fp; diff --git a/src/operators/tensor/math/sin/sin_fp.cairo b/src/operators/tensor/math/sin/sin_fp.cairo new file mode 100644 index 000000000..50d44d68c --- /dev/null +++ b/src/operators/tensor/math/sin/sin_fp.cairo @@ -0,0 +1,3 @@ +mod core; +mod fp8x23; +mod fp16x16; diff --git a/src/operators/tensor/math/sin/sin_fp/core.cairo b/src/operators/tensor/math/sin/sin_fp/core.cairo new file mode 100644 index 000000000..37782248e --- /dev/null +++ b/src/operators/tensor/math/sin/sin_fp/core.cairo @@ -0,0 +1,18 @@ +use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; +use orion::operators::tensor::core::{Tensor}; +use orion::operators::tensor::math::sin::sin_fp::fp8x23; +use orion::operators::tensor::math::sin::sin_fp::fp16x16; + +/// Cf: TensorTrait::sin docstring +fn sin(self: @Tensor) -> Option> { + match *self.extra { + Option::Some(extra_params) => match extra_params.fixed_point { + Option::Some(fixed_point) => match fixed_point { + FixedImpl::FP8x23(()) => Option::Some(fp8x23::sin(self)), + FixedImpl::FP16x16(()) => Option::Some(fp16x16::sin(self)), + }, + Option::None(_) => Option::Some(fp16x16::sin(self)), + }, + Option::None(_) => Option::Some(fp16x16::sin(self)), + } +} diff --git a/src/operators/tensor/math/sin/sin_fp/fp16x16.cairo b/src/operators/tensor/math/sin/sin_fp/fp16x16.cairo new file mode 100644 index 000000000..9e0594f9e --- /dev/null +++ b/src/operators/tensor/math/sin/sin_fp/fp16x16.cairo @@ -0,0 +1,28 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::exp docstring +fn sin(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + result.append(FixedTrait::sin(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/sin/sin_fp/fp8x23.cairo b/src/operators/tensor/math/sin/sin_fp/fp8x23.cairo new file mode 100644 index 000000000..c2b73c907 --- /dev/null +++ b/src/operators/tensor/math/sin/sin_fp/fp8x23.cairo @@ -0,0 +1,28 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::exp docstring +fn sin(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + result.append(FixedTrait::sin(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/sin/sin_i32.cairo b/src/operators/tensor/math/sin/sin_i32.cairo new file mode 100644 index 000000000..50d44d68c --- /dev/null +++ b/src/operators/tensor/math/sin/sin_i32.cairo @@ -0,0 +1,3 @@ +mod core; +mod fp8x23; +mod fp16x16; diff --git a/src/operators/tensor/math/sin/sin_i32/core.cairo b/src/operators/tensor/math/sin/sin_i32/core.cairo new file mode 100644 index 000000000..88f7ffa30 --- /dev/null +++ b/src/operators/tensor/math/sin/sin_i32/core.cairo @@ -0,0 +1,19 @@ +use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; +use orion::operators::tensor::core::{Tensor}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::math::sin::sin_i32::fp8x23; +use orion::operators::tensor::math::sin::sin_i32::fp16x16; + +/// Cf: TensorTrait::sin docstring +fn sin_i32(self: @Tensor) -> Option> { + match *self.extra { + Option::Some(extra_params) => match extra_params.fixed_point { + Option::Some(fixed_point) => match fixed_point { + FixedImpl::FP8x23(()) => Option::Some(fp8x23::sin(self)), + FixedImpl::FP16x16(()) => Option::Some(fp16x16::sin(self)), + }, + Option::None(_) => Option::Some(fp16x16::sin(self)), + }, + Option::None(_) => Option::Some(fp16x16::sin(self)), + } +} diff --git a/src/operators/tensor/math/sin/sin_i32/fp16x16.cairo b/src/operators/tensor/math/sin/sin_i32/fp16x16.cairo new file mode 100644 index 000000000..ab161e631 --- /dev/null +++ b/src/operators/tensor/math/sin/sin_i32/fp16x16.cairo @@ -0,0 +1,37 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::exp docstring +fn sin(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + + if ele.sign == true { + let ele = FixedTrait::from_unscaled_felt((ele.mag).into() * -1); + result.append(FixedTrait::sin(ele)) + } else { + let ele = FixedTrait::from_unscaled_felt((ele.mag).into()); + result.append(FixedTrait::sin(ele)) + } + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/sin/sin_i32/fp8x23.cairo b/src/operators/tensor/math/sin/sin_i32/fp8x23.cairo new file mode 100644 index 000000000..215b72c1b --- /dev/null +++ b/src/operators/tensor/math/sin/sin_i32/fp8x23.cairo @@ -0,0 +1,37 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::exp docstring +fn sin(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + + if ele.sign == true { + let ele = FixedTrait::from_unscaled_felt((ele.mag).into() * -1); + result.append(FixedTrait::sin(ele)) + } else { + let ele = FixedTrait::from_unscaled_felt((ele.mag).into()); + result.append(FixedTrait::sin(ele)) + } + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/sin/sin_u32.cairo b/src/operators/tensor/math/sin/sin_u32.cairo new file mode 100644 index 000000000..50d44d68c --- /dev/null +++ b/src/operators/tensor/math/sin/sin_u32.cairo @@ -0,0 +1,3 @@ +mod core; +mod fp8x23; +mod fp16x16; diff --git a/src/operators/tensor/math/sin/sin_u32/core.cairo b/src/operators/tensor/math/sin/sin_u32/core.cairo new file mode 100644 index 000000000..4ced3846b --- /dev/null +++ b/src/operators/tensor/math/sin/sin_u32/core.cairo @@ -0,0 +1,19 @@ +use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; +use orion::operators::tensor::core::{Tensor}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::math::sin::sin_u32::fp8x23; +use orion::operators::tensor::math::sin::sin_u32::fp16x16; + +/// Cf: TensorTrait::sin docstring +fn sin_u32(self: @Tensor) -> Option> { + match *self.extra { + Option::Some(extra_params) => match extra_params.fixed_point { + Option::Some(fixed_point) => match fixed_point { + FixedImpl::FP8x23(()) => Option::Some(fp8x23::sin(self)), + FixedImpl::FP16x16(()) => Option::Some(fp16x16::sin(self)), + }, + Option::None(_) => Option::Some(fp16x16::sin(self)), + }, + Option::None(_) => Option::Some(fp16x16::sin(self)), + } +} diff --git a/src/operators/tensor/math/sin/sin_u32/fp16x16.cairo b/src/operators/tensor/math/sin/sin_u32/fp16x16.cairo new file mode 100644 index 000000000..af3dfd4db --- /dev/null +++ b/src/operators/tensor/math/sin/sin_u32/fp16x16.cairo @@ -0,0 +1,31 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::exp docstring +fn sin(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = FixedTrait::from_unscaled_felt((*data.pop_front().unwrap()).into()); + + result.append(FixedTrait::sin(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/sin/sin_u32/fp8x23.cairo b/src/operators/tensor/math/sin/sin_u32/fp8x23.cairo new file mode 100644 index 000000000..571be75c2 --- /dev/null +++ b/src/operators/tensor/math/sin/sin_u32/fp8x23.cairo @@ -0,0 +1,31 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::exp docstring +fn sin(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = FixedTrait::from_unscaled_felt((*data.pop_front().unwrap()).into()); + + result.append(FixedTrait::sin(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/tests.cairo b/src/tests.cairo index c142d6926..3f9537c1e 100644 --- a/src/tests.cairo +++ b/src/tests.cairo @@ -1,4 +1,5 @@ -mod numbers; -mod performance; +// mod numbers; +// mod performance; mod operators; -mod helpers; \ No newline at end of file +mod helpers; + diff --git a/src/tests/numbers.cairo b/src/tests/numbers.cairo index 276bd20e5..248dadb20 100644 --- a/src/tests/numbers.cairo +++ b/src/tests/numbers.cairo @@ -1,2 +1,2 @@ mod fixed_point; -mod signed_integer_test; \ No newline at end of file +mod signed_integer_test; diff --git a/src/tests/numbers/fixed_point.cairo b/src/tests/numbers/fixed_point.cairo index c2919d602..78b4519be 100644 --- a/src/tests/numbers/fixed_point.cairo +++ b/src/tests/numbers/fixed_point.cairo @@ -1,2 +1,2 @@ mod fp8x23_test; -mod fp16x16_test; \ No newline at end of file +mod fp16x16_test; diff --git a/src/tests/numbers/fixed_point/fp16x16_test.cairo b/src/tests/numbers/fixed_point/fp16x16_test.cairo index ec1233693..2a8b2f176 100644 --- a/src/tests/numbers/fixed_point/fp16x16_test.cairo +++ b/src/tests/numbers/fixed_point/fp16x16_test.cairo @@ -1,14 +1,15 @@ use option::OptionTrait; use traits::Into; +use debug::PrintTrait; + use orion::numbers::fixed_point::implementations::impl_16x16::{ ONE, _felt_abs, _felt_sign, FP16x16Impl, FP16x16Into, FP16x16Add, FP16x16AddEq, FP16x16Sub, FP16x16SubEq, FP16x16Mul, FP16x16MulEq, FP16x16Div, FP16x16DivEq, FP16x16PartialOrd, - FP16x16PartialEq + FP16x16PartialEq, PI, HALF_PI }; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::core; - #[test] fn test_into() { let a = FixedTrait::from_unscaled_felt(5); @@ -323,3 +324,22 @@ fn test_gt() { assert(c > b == false, 'c > b'); assert(c > c == false, 'c > c'); } + +#[test] +#[available_gas(10000000)] +fn test_sin() { + let a = FixedTrait::new(HALF_PI, false); + assert(a.sin().into() == 65536, 'invalid half pi'); + + let a = FixedTrait::new(HALF_PI / 2_u128, false); + assert(a.sin().into() == 46340, 'invalid quarter pi'); // 0.7071067811865475 + + let a = FixedTrait::new(PI, false); + assert(a.sin().into() == 0, 'invalid pi'); + + let a = FixedTrait::new(HALF_PI, true); + assert(a.sin().into() == -65536, 'invalid neg half pi'); // 0.9999999999939766 + + let a = FixedTrait::new_unscaled(17_u128, false); + assert(a.sin().into() == -63007, 'invalid 17'); +} diff --git a/src/tests/numbers/fixed_point/fp8x23_test.cairo b/src/tests/numbers/fixed_point/fp8x23_test.cairo index a7d60c7c6..232feec8e 100644 --- a/src/tests/numbers/fixed_point/fp8x23_test.cairo +++ b/src/tests/numbers/fixed_point/fp8x23_test.cairo @@ -1,10 +1,12 @@ use option::OptionTrait; use traits::Into; +use debug::PrintTrait; use orion::numbers::fixed_point::implementations::impl_8x23::{ ONE, _felt_abs, _felt_sign, FP8x23Impl, FP8x23Into, FP8x23Add, FP8x23AddEq, FP8x23Sub, - FP8x23SubEq, FP8x23Mul, FP8x23MulEq, FP8x23Div, FP8x23DivEq, FP8x23PartialOrd, FP8x23PartialEq + FP8x23SubEq, FP8x23Mul, FP8x23MulEq, FP8x23Div, FP8x23DivEq, FP8x23PartialOrd, FP8x23PartialEq, + PI, HALF_PI }; use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; use orion::numbers::fixed_point::core; @@ -323,3 +325,22 @@ fn test_gt() { assert(c > b == false, 'c > b'); assert(c > c == false, 'c > c'); } + +#[test] +#[available_gas(10000000)] +fn test_sin() { + let a = FixedTrait::new(HALF_PI, false); + assert(a.sin().into() == 8388608, 'invalid half pi'); + + let a = FixedTrait::new(HALF_PI / 2_u128, false); + assert(a.sin().into() == 5931641, 'invalid quarter pi'); // 0.7071067811865475 + + let a = FixedTrait::new(PI, false); + assert(a.sin().into() == 0, 'invalid pi'); + + let a = FixedTrait::new(HALF_PI, true); + assert(a.sin().into() == -8388608, 'invalid neg half pi'); // 0.9999999999939766 + + let a = FixedTrait::new_unscaled(17_u128, false); + assert(a.sin().into() == -8064787, 'invalid 17'); // -0.9613974918795568 +} diff --git a/src/tests/numbers/signed_integer_test.cairo b/src/tests/numbers/signed_integer_test.cairo index f964f3a03..cc0995594 100644 --- a/src/tests/numbers/signed_integer_test.cairo +++ b/src/tests/numbers/signed_integer_test.cairo @@ -1,224 +1,225 @@ -use core::traits::Into; -use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; - -#[test] -fn test_into() { - let x = IntegerTrait::::new(42, false); - assert(x.into() == 42, 'should convert to felt252'); - let x = IntegerTrait::::new(42, true); - assert(x.into() == -42, 'should convert to felt252'); -} - -#[test] -fn test_add() { - // Test addition of two positive integers - let a = IntegerTrait::::new(42, false); - let b = IntegerTrait::::new(13, false); - let result = a + b; - assert(result.mag == 55, '42 + 13 = 55'); - assert(result.sign == false, '42 + 13 -> positive'); - - // Test addition of two negative integers - let a = IntegerTrait::::new(42, true); - let b = IntegerTrait::::new(13, true); - let result = a + b; - assert(result.mag == 55, '-42 - 13 = -55'); - assert(result.sign == true, '-42 - 13 -> negative'); - - // Test addition of a positive integer and a negative integer with the same magnitude - - let a = IntegerTrait::::new(42, false); - let b = IntegerTrait::::new(42, true); - let result = a + b; - assert(result.mag == 0, '42 - 42 = 0'); - assert(result.sign == false, '42 - 42 -> positive'); - - // Test addition of a positive integer and a negative integer with different magnitudes - let a = IntegerTrait::::new(42, false); - let b = IntegerTrait::::new(13, true); - let result = a + b; - assert(result.mag == 29, '42 - 13 = 29'); - assert(result.sign == false, '42 - 13 -> positive'); - - // Test addition of a negative integer and a positive integer with different magnitudes - let a = IntegerTrait::::new(42, true); - let b = IntegerTrait::::new(13, false); - let result = a + b; - assert(result.mag == 29, '-42 + 13 = -29'); - assert(result.sign == true, '-42 + 13 -> negative'); -} - -#[test] -fn test_sub() { - // Test subtraction of two positive integers with larger first - let a = IntegerTrait::::new(42, false); - let b = IntegerTrait::::new(13, false); - let result = a - b; - assert(result.mag == 29, '42 - 13 = 29'); - assert(result.sign == false, '42 - 13 -> positive'); - - // Test subtraction of two positive integers with larger second - let a = IntegerTrait::::new(13, false); - let b = IntegerTrait::::new(42, false); - let result = a - b; - assert(result.mag == 29, '13 - 42 = -29'); - assert(result.sign == true, '13 - 42 -> negative'); - - // Test subtraction of two negative integers with larger first - let a = IntegerTrait::::new(42, true); - let b = IntegerTrait::::new(13, true); - let result = a - b; - assert(result.mag == 29, '-42 - -13 = 29'); - assert(result.sign == true, '-42 - -13 -> negative'); - - // Test subtraction of two negative integers with larger second - let a = IntegerTrait::::new(13, true); - let b = IntegerTrait::::new(42, true); - let result = a - b; - assert(result.mag == 29, '-13 - -42 = 29'); - assert(result.sign == false, '-13 - -42 -> positive'); - - // Test subtraction of a positive integer and a negative integer with the same magnitude - let a = IntegerTrait::::new(42, false); - let b = IntegerTrait::::new(42, true); - let result = a - b; - assert(result.mag == 84, '42 - -42 = 84'); - assert(result.sign == false, '42 - -42 -> postive'); - - // Test subtraction of a negative integer and a positive integer with the same magnitude - let a = IntegerTrait::::new(42, true); - let b = IntegerTrait::::new(42, false); - let result = a - b; - assert(result.mag == 84, '-42 - 42 = -84'); - assert(result.sign == true, '-42 - 42 -> negative'); - - // Test subtraction of a positive integer and a negative integer with different magnitudes - let a = IntegerTrait::::new(100, false); - let b = IntegerTrait::::new(42, true); - let result = a - b; - assert(result.mag == 142, '100 - - 42 = 142'); - assert(result.sign == false, '100 - - 42 -> postive'); - - // Test subtraction of a negative integer and a positive integer with different magnitudes - let a = IntegerTrait::::new(42, true); - let b = IntegerTrait::::new(100, false); - let result = a - b; - assert(result.mag == 142, '-42 - 100 = -142'); - assert(result.sign == true, '-42 - 100 -> negative'); - - // Test subtraction resulting in zero - let a = IntegerTrait::::new(42, false); - let b = IntegerTrait::::new(42, false); - let result = a - b; - assert(result.mag == 0, '42 - 42 = 0'); - assert(result.sign == false, '42 - 42 -> positive'); -} - - -#[test] -fn test_mul() { - // Test multiplication of positive integers - let a = IntegerTrait::::new(10, false); - let b = IntegerTrait::::new(5, false); - let result = a * b; - assert(result.mag == 50, '10 * 5 = 50'); - assert(result.sign == false, '10 * 5 -> positive'); - - // Test multiplication of negative integers - let a = IntegerTrait::::new(10, true); - let b = IntegerTrait::::new(5, true); - let result = a * b; - assert(result.mag == 50, '-10 * -5 = 50'); - assert(result.sign == false, '-10 * -5 -> positive'); - - // Test multiplication of positive and negative integers - let a = IntegerTrait::::new(10, false); - let b = IntegerTrait::::new(5, true); - let result = a * b; - assert(result.mag == 50, '10 * -5 = -50'); - assert(result.sign == true, '10 * -5 -> negative'); - - // Test multiplication by zero - let a = IntegerTrait::::new(10, false); - let b = IntegerTrait::::new(0, false); - let result = a * b; - assert(result.mag == 0, '10 * 0 = 0'); - assert(result.sign == false, '10 * 0 -> positive'); -} - -#[test] -fn test_div_no_rem() { - // Test division of positive integers - let a = IntegerTrait::::new(10, false); - let b = IntegerTrait::::new(5, false); - let result = a / b; - assert(result.mag == 2, '10 // 5 = 2'); - assert(result.sign == false, '10 // 5 -> positive'); - - // Test division of negative integers - let a = IntegerTrait::::new(10, true); - let b = IntegerTrait::::new(5, true); - let result = a / b; - assert(result.mag == 2, '-10 // -5 = 2'); - assert(result.sign == false, '-10 // -5 -> positive'); - - // Test division of positive and negative integers - let a = IntegerTrait::::new(10, false); - let b = IntegerTrait::::new(5, true); - let result = a / b; - assert(result.mag == 2, '10 // -5 = -2'); - assert(result.sign == true, '10 // -5 -> negative'); - - // Test division with a = zero - let a = IntegerTrait::::new(0, false); - let b = IntegerTrait::::new(10, false); - let result = a / b; - assert(result.mag == 0, '0 // 10 = 0'); - assert(result.sign == false, '0 // 10 -> positive'); - - // Test division with a = zero - let a = IntegerTrait::::new(0, false); - let b = IntegerTrait::::new(10, false); - let result = a / b; - assert(result.mag == 0, '0 // 10 = 0'); - assert(result.sign == false, '0 // 10 -> positive'); -} - -#[test] -#[available_gas(20000000)] -fn test_div_rem() { - // Test division and remainder of positive integers - let a = IntegerTrait::::new(13, false); - let b = IntegerTrait::::new(5, false); - let (q, r) = a.div_rem(b); - assert(q.mag == 2 && r.mag == 3, '13 // 5 = 2 r 3'); - assert((q.sign == false) & (r.sign == false), '13 // 5 -> positive'); - - // Test division and remainder of negative integers - let a = IntegerTrait::::new(13, true); - let b = IntegerTrait::::new(5, true); - let (q, r) = a.div_rem(b); - assert(q.mag == 2 && r.mag == 3, '-13 // -5 = 2 r -3'); - assert(q.sign == false && r.sign == true, '-13 // -5 -> positive'); - - // Test division and remainder of positive and negative integers - let a = IntegerTrait::::new(13, false); - let b = IntegerTrait::::new(5, true); - let (q, r) = a.div_rem(b); - assert(q.mag == 3 && r.mag == 2, '13 // -5 = -3 r -2'); - assert(q.sign == true && r.sign == true, '13 // -5 -> negative'); - - // Test division with a = zero - let a = IntegerTrait::::new(0, false); - let b = IntegerTrait::::new(10, false); - let (q, r) = a.div_rem(b); - assert(q.mag == 0 && r.mag == 0, '0 // 10 = 0 r 0'); - assert(q.sign == false && r.sign == false, '0 // 10 -> positive'); - - // Test division and remainder with a negative dividend and positive divisor - let a = IntegerTrait::::new(13, true); - let b = IntegerTrait::::new(5, false); - let (q, r) = a.div_rem(b); - assert(q.mag == 3 && r.mag == 2, '-13 // 5 = -3 r 2'); - assert(q.sign == true && r.sign == false, '-13 // 5 -> negative'); -} +// use core::traits::Into; +// use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + +// #[test] +// fn test_into() { +// let x = IntegerTrait::::new(42, false); +// assert(x.into() == 42, 'should convert to felt252'); +// let x = IntegerTrait::::new(42, true); +// assert(x.into() == -42, 'should convert to felt252'); +// } + +// #[test] +// fn test_add() { +// // Test addition of two positive integers +// let a = IntegerTrait::::new(42, false); +// let b = IntegerTrait::::new(13, false); +// let result = a + b; +// assert(result.mag == 55, '42 + 13 = 55'); +// assert(result.sign == false, '42 + 13 -> positive'); + +// // Test addition of two negative integers +// let a = IntegerTrait::::new(42, true); +// let b = IntegerTrait::::new(13, true); +// let result = a + b; +// assert(result.mag == 55, '-42 - 13 = -55'); +// assert(result.sign == true, '-42 - 13 -> negative'); + +// // Test addition of a positive integer and a negative integer with the same magnitude + +// let a = IntegerTrait::::new(42, false); +// let b = IntegerTrait::::new(42, true); +// let result = a + b; +// assert(result.mag == 0, '42 - 42 = 0'); +// assert(result.sign == false, '42 - 42 -> positive'); + +// // Test addition of a positive integer and a negative integer with different magnitudes +// let a = IntegerTrait::::new(42, false); +// let b = IntegerTrait::::new(13, true); +// let result = a + b; +// assert(result.mag == 29, '42 - 13 = 29'); +// assert(result.sign == false, '42 - 13 -> positive'); + +// // Test addition of a negative integer and a positive integer with different magnitudes +// let a = IntegerTrait::::new(42, true); +// let b = IntegerTrait::::new(13, false); +// let result = a + b; +// assert(result.mag == 29, '-42 + 13 = -29'); +// assert(result.sign == true, '-42 + 13 -> negative'); +// } + +// #[test] +// fn test_sub() { +// // Test subtraction of two positive integers with larger first +// let a = IntegerTrait::::new(42, false); +// let b = IntegerTrait::::new(13, false); +// let result = a - b; +// assert(result.mag == 29, '42 - 13 = 29'); +// assert(result.sign == false, '42 - 13 -> positive'); + +// // Test subtraction of two positive integers with larger second +// let a = IntegerTrait::::new(13, false); +// let b = IntegerTrait::::new(42, false); +// let result = a - b; +// assert(result.mag == 29, '13 - 42 = -29'); +// assert(result.sign == true, '13 - 42 -> negative'); + +// // Test subtraction of two negative integers with larger first +// let a = IntegerTrait::::new(42, true); +// let b = IntegerTrait::::new(13, true); +// let result = a - b; +// assert(result.mag == 29, '-42 - -13 = 29'); +// assert(result.sign == true, '-42 - -13 -> negative'); + +// // Test subtraction of two negative integers with larger second +// let a = IntegerTrait::::new(13, true); +// let b = IntegerTrait::::new(42, true); +// let result = a - b; +// assert(result.mag == 29, '-13 - -42 = 29'); +// assert(result.sign == false, '-13 - -42 -> positive'); + +// // Test subtraction of a positive integer and a negative integer with the same magnitude +// let a = IntegerTrait::::new(42, false); +// let b = IntegerTrait::::new(42, true); +// let result = a - b; +// assert(result.mag == 84, '42 - -42 = 84'); +// assert(result.sign == false, '42 - -42 -> postive'); + +// // Test subtraction of a negative integer and a positive integer with the same magnitude +// let a = IntegerTrait::::new(42, true); +// let b = IntegerTrait::::new(42, false); +// let result = a - b; +// assert(result.mag == 84, '-42 - 42 = -84'); +// assert(result.sign == true, '-42 - 42 -> negative'); + +// // Test subtraction of a positive integer and a negative integer with different magnitudes +// let a = IntegerTrait::::new(100, false); +// let b = IntegerTrait::::new(42, true); +// let result = a - b; +// assert(result.mag == 142, '100 - - 42 = 142'); +// assert(result.sign == false, '100 - - 42 -> postive'); + +// // Test subtraction of a negative integer and a positive integer with different magnitudes +// let a = IntegerTrait::::new(42, true); +// let b = IntegerTrait::::new(100, false); +// let result = a - b; +// assert(result.mag == 142, '-42 - 100 = -142'); +// assert(result.sign == true, '-42 - 100 -> negative'); + +// // Test subtraction resulting in zero +// let a = IntegerTrait::::new(42, false); +// let b = IntegerTrait::::new(42, false); +// let result = a - b; +// assert(result.mag == 0, '42 - 42 = 0'); +// assert(result.sign == false, '42 - 42 -> positive'); +// } + +// #[test] +// fn test_mul() { +// // Test multiplication of positive integers +// let a = IntegerTrait::::new(10, false); +// let b = IntegerTrait::::new(5, false); +// let result = a * b; +// assert(result.mag == 50, '10 * 5 = 50'); +// assert(result.sign == false, '10 * 5 -> positive'); + +// // Test multiplication of negative integers +// let a = IntegerTrait::::new(10, true); +// let b = IntegerTrait::::new(5, true); +// let result = a * b; +// assert(result.mag == 50, '-10 * -5 = 50'); +// assert(result.sign == false, '-10 * -5 -> positive'); + +// // Test multiplication of positive and negative integers +// let a = IntegerTrait::::new(10, false); +// let b = IntegerTrait::::new(5, true); +// let result = a * b; +// assert(result.mag == 50, '10 * -5 = -50'); +// assert(result.sign == true, '10 * -5 -> negative'); + +// // Test multiplication by zero +// let a = IntegerTrait::::new(10, false); +// let b = IntegerTrait::::new(0, false); +// let result = a * b; +// assert(result.mag == 0, '10 * 0 = 0'); +// assert(result.sign == false, '10 * 0 -> positive'); +// } + +// #[test] +// fn test_div_no_rem() { +// // Test division of positive integers +// let a = IntegerTrait::::new(10, false); +// let b = IntegerTrait::::new(5, false); +// let result = a / b; +// assert(result.mag == 2, '10 // 5 = 2'); +// assert(result.sign == false, '10 // 5 -> positive'); + +// // Test division of negative integers +// let a = IntegerTrait::::new(10, true); +// let b = IntegerTrait::::new(5, true); +// let result = a / b; +// assert(result.mag == 2, '-10 // -5 = 2'); +// assert(result.sign == false, '-10 // -5 -> positive'); + +// // Test division of positive and negative integers +// let a = IntegerTrait::::new(10, false); +// let b = IntegerTrait::::new(5, true); +// let result = a / b; +// assert(result.mag == 2, '10 // -5 = -2'); +// assert(result.sign == true, '10 // -5 -> negative'); + +// // Test division with a = zero +// let a = IntegerTrait::::new(0, false); +// let b = IntegerTrait::::new(10, false); +// let result = a / b; +// assert(result.mag == 0, '0 // 10 = 0'); +// assert(result.sign == false, '0 // 10 -> positive'); + +// // Test division with a = zero +// let a = IntegerTrait::::new(0, false); +// let b = IntegerTrait::::new(10, false); +// let result = a / b; +// assert(result.mag == 0, '0 // 10 = 0'); +// assert(result.sign == false, '0 // 10 -> positive'); +// } + +// #[test] +// #[available_gas(20000000)] +// fn test_div_rem() { +// // Test division and remainder of positive integers +// let a = IntegerTrait::::new(13, false); +// let b = IntegerTrait::::new(5, false); +// let (q, r) = a.div_rem(b); +// assert(q.mag == 2 && r.mag == 3, '13 // 5 = 2 r 3'); +// assert((q.sign == false) & (r.sign == false), '13 // 5 -> positive'); + +// // Test division and remainder of negative integers +// let a = IntegerTrait::::new(13, true); +// let b = IntegerTrait::::new(5, true); +// let (q, r) = a.div_rem(b); +// assert(q.mag == 2 && r.mag == 3, '-13 // -5 = 2 r -3'); +// assert(q.sign == false && r.sign == true, '-13 // -5 -> positive'); + +// // Test division and remainder of positive and negative integers +// let a = IntegerTrait::::new(13, false); +// let b = IntegerTrait::::new(5, true); +// let (q, r) = a.div_rem(b); +// assert(q.mag == 3 && r.mag == 2, '13 // -5 = -3 r -2'); +// assert(q.sign == true && r.sign == true, '13 // -5 -> negative'); + +// // Test division with a = zero +// let a = IntegerTrait::::new(0, false); +// let b = IntegerTrait::::new(10, false); +// let (q, r) = a.div_rem(b); +// assert(q.mag == 0 && r.mag == 0, '0 // 10 = 0 r 0'); +// assert(q.sign == false && r.sign == false, '0 // 10 -> positive'); + +// // Test division and remainder with a negative dividend and positive divisor +// let a = IntegerTrait::::new(13, true); +// let b = IntegerTrait::::new(5, false); +// let (q, r) = a.div_rem(b); +// assert(q.mag == 3 && r.mag == 2, '-13 // 5 = -3 r 2'); +// assert(q.sign == true && r.sign == false, '-13 // 5 -> negative'); +// } + + diff --git a/src/tests/operators/nn.cairo b/src/tests/operators/nn.cairo index af83870f0..416465a64 100644 --- a/src/tests/operators/nn.cairo +++ b/src/tests/operators/nn.cairo @@ -1 +1 @@ -mod functional; \ No newline at end of file +mod functional; diff --git a/src/tests/operators/tensor.cairo b/src/tests/operators/tensor.cairo index 18677472d..c88f4f133 100644 --- a/src/tests/operators/tensor.cairo +++ b/src/tests/operators/tensor.cairo @@ -1,3 +1,3 @@ mod math; mod linalg; -mod core; \ No newline at end of file +mod core; diff --git a/src/tests/operators/tensor/math.cairo b/src/tests/operators/tensor/math.cairo index 826039c61..ed6f66c49 100644 --- a/src/tests/operators/tensor/math.cairo +++ b/src/tests/operators/tensor/math.cairo @@ -13,3 +13,4 @@ mod abs; mod ceil; mod ln; mod arithmetic; +mod sin; diff --git a/src/tests/operators/tensor/math/sin.cairo b/src/tests/operators/tensor/math/sin.cairo new file mode 100644 index 000000000..d1d7c6adf --- /dev/null +++ b/src/tests/operators/tensor/math/sin.cairo @@ -0,0 +1,4 @@ +mod sin_u32_test; +mod sin_i32_test; +mod sin_fp_test; + diff --git a/src/tests/operators/tensor/math/sin/sin_fp_test.cairo b/src/tests/operators/tensor/math/sin/sin_fp_test.cairo new file mode 100644 index 000000000..94f48855a --- /dev/null +++ b/src/tests/operators/tensor/math/sin/sin_fp_test.cairo @@ -0,0 +1,2 @@ +mod sin_fp8x23_test; +mod sin_fp16x16_test; diff --git a/src/tests/operators/tensor/math/sin/sin_fp_test/sin_fp16x16_test.cairo b/src/tests/operators/tensor/math/sin/sin_fp_test/sin_fp16x16_test.cairo new file mode 100644 index 000000000..1c7aefee4 --- /dev/null +++ b/src/tests/operators/tensor/math/sin/sin_fp_test/sin_fp16x16_test.cairo @@ -0,0 +1,84 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_sin_test() { + let tensor = fp_tensor_1x3_helper(); + let result = tensor.sin().data; + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 55147, 'result[1] = 0.8414...'); + assert((*result.at(2).mag).into() == 59592, 'result[2] = 0.909...'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_sin_test() { + let tensor = fp_tensor_2x2_helper(); + let result = tensor.sin().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 55147, 'result[1] = 0.8414...'); + assert((*result.at(2).mag).into() == 59592, 'result[2] = 0.909...'); + assert((*result.at(3).mag).into() == 9246, 'result[3] = 0.141...'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_sin_test() { + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.sin().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 55147, 'result[1] = 0.8414...'); + assert((*result.at(2).mag).into() == 59592, 'result[2] = 0.909...'); + assert((*result.at(3).mag).into() == 9246, 'result[3] = 0.141...'); + assert((*result.at(4).mag).into() == 49598, 'result[3] = -0.7568...'); + assert((*result.at(4).sign).into() == true, 'result[3].sign = true'); + assert((*result.at(5).mag).into() == 62844, 'result[3] = -0.9589...'); + assert((*result.at(5).sign).into() == true, 'result[3].sign = true'); + assert((*result.at(6).mag).into() == 18310, 'result[3] = -0.2794...'); + assert((*result.at(6).sign).into() == true, 'result[3].sign = true...'); + assert((*result.at(7).mag).into() == 43056, 'result[3] = 0.6569...'); + assert((*result.at(7).sign).into() == false, 'result[3].sign = false'); + } +} diff --git a/src/tests/operators/tensor/math/sin/sin_fp_test/sin_fp8x23_test.cairo b/src/tests/operators/tensor/math/sin/sin_fp_test/sin_fp8x23_test.cairo new file mode 100644 index 000000000..4ae4c9f18 --- /dev/null +++ b/src/tests/operators/tensor/math/sin/sin_fp_test/sin_fp8x23_test.cairo @@ -0,0 +1,84 @@ +use core::clone::Clone; + +// ===== 1D ===== // +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_sin_test() { + let tensor = fp_tensor_1x3_helper(); + let result = tensor.sin().data; + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 7058771, 'result[1] = 0.8414...'); + assert((*result.at(2).mag).into() == 7627740, 'result[2] = 0.9092...'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_sin_test() { + let tensor = fp_tensor_2x2_helper(); + let result = tensor.sin().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 7058771, 'result[1] = 0.8414...'); + assert((*result.at(2).mag).into() == 7627740, 'result[2] = 0.9092...'); + assert((*result.at(3).mag).into() == 1183800, 'result[3] = 0.1411...'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_sin_test() { + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.sin().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 7058771, 'result[1] = 0.8414...'); + assert((*result.at(2).mag).into() == 7627740, 'result[2] = 0.9092...'); + assert((*result.at(3).mag).into() == 1183800, 'result[3] = 0.1411...'); + assert((*result.at(4).mag).into() == 6348520, 'result[3] = -0.7568...'); + assert((*result.at(4).sign).into() == true, 'result[3].sign = true'); + assert((*result.at(5).mag).into() == 8044040, 'result[3] = -0.9589...'); + assert((*result.at(5).sign).into() == true, 'result[3].sign = true'); + assert((*result.at(6).mag).into() == 2343908, 'result[3] = -0.2794...'); + assert((*result.at(6).sign).into() == true, 'result[3].sign = true...'); + assert((*result.at(7).mag).into() == 5511203, 'result[3] = 0.6569...'); + assert((*result.at(7).sign).into() == false, 'result[3].sign = false'); + } +} diff --git a/src/tests/operators/tensor/math/sin/sin_i32_test.cairo b/src/tests/operators/tensor/math/sin/sin_i32_test.cairo new file mode 100644 index 000000000..fd38cb115 --- /dev/null +++ b/src/tests/operators/tensor/math/sin/sin_i32_test.cairo @@ -0,0 +1,84 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::i32::i32_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + + #[test] + #[available_gas(20000000)] + fn tensor_sin_test() { + let tensor = i32_tensor_1x3_helper(); + let result = tensor.sin().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 55147, 'result[1] = 0.8414...'); + assert((*result.at(2).mag).into() == 59592, 'result[2] = 0.909...'); + } +} +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = i32_tensor_2x2_helper(); + let result = tensor.sin().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 55147, 'result[1] = 0.8414...'); + assert((*result.at(2).mag).into() == 59592, 'result[2] = 0.909...'); + assert((*result.at(3).mag).into() == 9246, 'result[3] = 0.1411...'); + } +} +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::i32::i32_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = i32_tensor_2x2x2_helper(); + let result = tensor.sin().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 55147, 'result[1] = 0.8414...'); + assert((*result.at(2).mag).into() == 59592, 'result[2] = 0.909...'); + assert((*result.at(3).mag).into() == 9246, 'result[3] = 0.1411...'); + assert((*result.at(4).mag).into() == 49598, 'result[3] = -0.7568...'); + assert((*result.at(4).sign).into() == true, 'result[3].sign = true'); + assert((*result.at(5).mag).into() == 62844, 'result[3] = -0.9589...'); + assert((*result.at(5).sign).into() == true, 'result[3].sign = true'); + assert((*result.at(6).mag).into() == 18310, 'result[3] = -0.2794...'); + assert((*result.at(6).sign).into() == true, 'result[3].sign = true...'); + assert((*result.at(7).mag).into() == 43056, 'result[3] = 0.6569...'); + assert((*result.at(7).sign).into() == false, 'result[3].sign = false'); + } +} + diff --git a/src/tests/operators/tensor/math/sin/sin_u32_test.cairo b/src/tests/operators/tensor/math/sin/sin_u32_test.cairo new file mode 100644 index 000000000..76fd2368e --- /dev/null +++ b/src/tests/operators/tensor/math/sin/sin_u32_test.cairo @@ -0,0 +1,80 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::u32::u32_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_sin_test() { + let tensor = u32_tensor_1x3_helper(); + let result = tensor.sin().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 55147, 'result[1] = 0.8414...'); + assert((*result.at(2).mag).into() == 59592, 'result[2] = 0.909...'); + } +} +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + + #[test] + #[available_gas(20000000)] + fn tensor_sin_test() { + let tensor = u32_tensor_2x2_helper(); + let result = tensor.sin().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 55147, 'result[1] = 0.8414...'); + assert((*result.at(2).mag).into() == 59592, 'result[2] = 0.909...'); + assert((*result.at(3).mag).into() == 9246, 'result[3] = 0.141...'); + } +} +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::u32::u32_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_exp_test() { + let tensor = u32_tensor_2x2x2_helper(); + let result = tensor.exp().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 178142, 'result[1] = 2.7182...'); + assert((*result.at(2).mag).into() == 484232, 'result[2] = 7.389...'); + assert((*result.at(3).mag).into() == 1316288, 'result[3] = 20.085...'); + assert((*result.at(4).mag).into() == 3577984, 'result[3] = 54.5981...'); + assert((*result.at(5).mag).into() == 9726080, 'result[3] = 148.4131...'); + assert((*result.at(6).mag).into() == 26437888, 'result[3] = 403.4287...'); + assert((*result.at(7).mag).into() == 71866368, 'result[3] = 1096.6331...'); + } +} + From f6aeab9a7b9547de239d9b27c2f6f5c0c2688d67 Mon Sep 17 00:00:00 2001 From: Roy Date: Tue, 27 Jun 2023 23:11:08 -0700 Subject: [PATCH 057/126] Added sinh w/ tests --- docs/CHANGELOG.md | 18 ++- docs/apis/compatibility.md | 71 +++++------ docs/apis/numbers/fixed-point/fp.sinh.md | 28 +++++ docs/apis/operators/tensor/tensor.new.md | 2 +- docs/apis/operators/tensor/tensor.sinh.md | 35 ++++++ src/numbers/fixed_point/core.cairo | 30 +++++ .../implementations/impl_16x16.cairo | 4 + .../implementations/impl_8x23.cairo | 4 + src/numbers/fixed_point/math/math_16x16.cairo | 8 ++ src/numbers/fixed_point/math/math_8x23.cairo | 8 ++ src/operators/tensor/core.cairo | 36 ++++++ .../implementations/impl_tensor_fp.cairo | 5 + .../implementations/impl_tensor_i32.cairo | 5 + .../implementations/impl_tensor_u32.cairo | 4 + src/operators/tensor/math.cairo | 1 + src/operators/tensor/math/sinh.cairo | 3 + src/operators/tensor/math/sinh/sinh_fp.cairo | 3 + .../tensor/math/sinh/sinh_fp/core.cairo | 18 +++ .../tensor/math/sinh/sinh_fp/fp16x16.cairo | 28 +++++ .../tensor/math/sinh/sinh_fp/fp8x23.cairo | 28 +++++ src/operators/tensor/math/sinh/sinh_i32.cairo | 3 + .../tensor/math/sinh/sinh_i32/core.cairo | 19 +++ .../tensor/math/sinh/sinh_i32/fp16x16.cairo | 37 ++++++ .../tensor/math/sinh/sinh_i32/fp8x23.cairo | 37 ++++++ src/operators/tensor/math/sinh/sinh_u32.cairo | 3 + .../tensor/math/sinh/sinh_u32/core.cairo | 19 +++ .../tensor/math/sinh/sinh_u32/fp16x16.cairo | 31 +++++ .../tensor/math/sinh/sinh_u32/fp8x23.cairo | 31 +++++ .../numbers/fixed_point/fp16x16_test.cairo | 7 ++ .../numbers/fixed_point/fp8x23_test.cairo | 7 ++ src/tests/operators/tensor/math.cairo | 1 + src/tests/operators/tensor/math/sinh.cairo | 3 + .../tensor/math/sinh/sinh_fp_test.cairo | 2 + .../sinh/sinh_fp_test/sinh_fp16x16_test.cairo | 80 +++++++++++++ .../sinh/sinh_fp_test/sinh_fp8x23_test.cairo | 79 ++++++++++++ .../tensor/math/sinh/sinh_i32_test.cairo | 113 ++++++++++++++++++ .../tensor/math/sinh/sinh_u32_test.cairo | 110 +++++++++++++++++ 37 files changed, 883 insertions(+), 38 deletions(-) create mode 100644 docs/apis/numbers/fixed-point/fp.sinh.md create mode 100644 docs/apis/operators/tensor/tensor.sinh.md create mode 100644 src/operators/tensor/math/sinh.cairo create mode 100644 src/operators/tensor/math/sinh/sinh_fp.cairo create mode 100644 src/operators/tensor/math/sinh/sinh_fp/core.cairo create mode 100644 src/operators/tensor/math/sinh/sinh_fp/fp16x16.cairo create mode 100644 src/operators/tensor/math/sinh/sinh_fp/fp8x23.cairo create mode 100644 src/operators/tensor/math/sinh/sinh_i32.cairo create mode 100644 src/operators/tensor/math/sinh/sinh_i32/core.cairo create mode 100644 src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo create mode 100644 src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo create mode 100644 src/operators/tensor/math/sinh/sinh_u32.cairo create mode 100644 src/operators/tensor/math/sinh/sinh_u32/core.cairo create mode 100644 src/operators/tensor/math/sinh/sinh_u32/fp16x16.cairo create mode 100644 src/operators/tensor/math/sinh/sinh_u32/fp8x23.cairo create mode 100644 src/tests/operators/tensor/math/sinh.cairo create mode 100644 src/tests/operators/tensor/math/sinh/sinh_fp_test.cairo create mode 100644 src/tests/operators/tensor/math/sinh/sinh_fp_test/sinh_fp16x16_test.cairo create mode 100644 src/tests/operators/tensor/math/sinh/sinh_fp_test/sinh_fp8x23_test.cairo create mode 100644 src/tests/operators/tensor/math/sinh/sinh_i32_test.cairo create mode 100644 src/tests/operators/tensor/math/sinh/sinh_u32_test.cairo diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md index e21d1ee07..404f8de0d 100644 --- a/docs/CHANGELOG.md +++ b/docs/CHANGELOG.md @@ -4,40 +4,53 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [Unreleased] - 2023-06-27 + +### Added + +- Added sinh operator + ## [Unreleased] - 2023-06-24 ### Added + - Added cumsum operator ## [Unreleased] - 2023-06-23 ### Changed + - Replace array.at with IndexView ## [Unreleased] - 2023-06-21 ### Changed + - Refactor nn tests to cover n-dimensions ## [Unreleased] - 2023-06-21 ### Changed + - Refactor tensor tests to cover n-dimensions ## [Unreleased] - 2023-06-20 ### Changed + - Upgrade Cairo version to v2.0.0-rc ## [Unreleased] - 2023-06-17 ### Added + - Into trait to signed integers ## [Unreleased] - 2023-06-16 ### Changed -- Updated argmax function parameters + +- Updated argmax function parameters - Restructured tests for argmax and argmin ## [Unreleased] - 2023-06-11 @@ -46,10 +59,11 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), - Added ln functionality to tensor trait. Added Logsoftmax implementation for nn trait. - Added tests for both. - + ## [Unreleased] - 2023-06-08 ### Added + - Added argmin tensor operator ## [Unreleased] - 2023-06-07 diff --git a/docs/apis/compatibility.md b/docs/apis/compatibility.md index 96e99a305..93219de55 100644 --- a/docs/apis/compatibility.md +++ b/docs/apis/compatibility.md @@ -4,42 +4,43 @@ To see the full list of available ONNX Operators refer to [this table](https://g You can see below the list of current supported ONNX Operators: -| Operator | Implemented | -| :---------------------------------------------------------: | :------------------: | -| [MatMul](operators/tensor/tensor.matmul.md) | :white\_check\_mark: | -| [MatMulInteger](operators/tensor/tensor.matmul.md) | :white\_check\_mark: | -| [Add](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | -| [Sub](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | -| [Mul](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | -| [Div](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | -| [Equal](operators/tensor/tensor.eq.md) | :white\_check\_mark: | -| [Greater](operators/tensor/tensor.greater.md) | :white\_check\_mark: | -| [GreaterOrEqual](operators/tensor/tensor.greater\_equal.md) | :white\_check\_mark: | -| [Less](operators/tensor/tensor.less.md) | :white\_check\_mark: | -| [LessOrEqual](operators/tensor/tensor.less\_equal.md) | :white\_check\_mark: | -| [Abs](operators/tensor/tensor.abs.md) | :white\_check\_mark: | -| [Ceil](operators/tensor/tensor.ceil.md) | :white\_check\_mark: | -| [Exp](operators/tensor/tensor.exp.md) | :white\_check\_mark: | -| [Ln](operators/tensor/tensor.ln.md) | :white\_check\_mark: | -| [Reshape](operators/tensor/tensor.reshape.md) | :white\_check\_mark: | -| [Transpose](operators/tensor/tensor.transpose.md) | :white\_check\_mark: | -| [ArgMax](operators/tensor/tensor.argmax.md) | :white\_check\_mark: | -| [ArgMin](operators/tensor/tensor.argmin.md) | :white\_check\_mark: | -| [ReduceSum](operators/tensor/tensor.reduce\_sum.md) | :white\_check\_mark: | -| [CumSum](operators/tensor/tensor.cumsum.md) | :white\_check\_mark: | -| [Relu](operators/neural-network/nn.relu.md) | :white\_check\_mark: | -| [LeakyRelu](operators/neural-network/nn.leaky\_relu.md) | :white\_check\_mark: | -| [Sigmoid](operators/neural-network/nn.sigmoid.md) | :white\_check\_mark: | -| [Softmax](operators/neural-network/nn.softmax.md) | :white\_check\_mark: | -| [LogSoftmax](operators/neural-network/nn.logsoftmax.md) | :white\_check\_mark: | -| [Softsign](operators/neural-network/nn.softsign.md) | :white\_check\_mark: | -| [Softplus](operators/neural-network/nn.softplus.md) | :white\_check\_mark: | -| [Linear](operators/neural-network/nn.linear.md) | :white\_check\_mark: | +| Operator | Implemented | +| :--------------------------------------------------------: | :----------------: | +| [MatMul](operators/tensor/tensor.matmul.md) | :white_check_mark: | +| [MatMulInteger](operators/tensor/tensor.matmul.md) | :white_check_mark: | +| [Add](operators/tensor/#arithmetic-operations) | :white_check_mark: | +| [Sub](operators/tensor/#arithmetic-operations) | :white_check_mark: | +| [Mul](operators/tensor/#arithmetic-operations) | :white_check_mark: | +| [Div](operators/tensor/#arithmetic-operations) | :white_check_mark: | +| [Equal](operators/tensor/tensor.eq.md) | :white_check_mark: | +| [Greater](operators/tensor/tensor.greater.md) | :white_check_mark: | +| [GreaterOrEqual](operators/tensor/tensor.greater_equal.md) | :white_check_mark: | +| [Less](operators/tensor/tensor.less.md) | :white_check_mark: | +| [LessOrEqual](operators/tensor/tensor.less_equal.md) | :white_check_mark: | +| [Abs](operators/tensor/tensor.abs.md) | :white_check_mark: | +| [Ceil](operators/tensor/tensor.ceil.md) | :white_check_mark: | +| [Exp](operators/tensor/tensor.exp.md) | :white_check_mark: | +| [Ln](operators/tensor/tensor.ln.md) | :white_check_mark: | +| [Reshape](operators/tensor/tensor.reshape.md) | :white_check_mark: | +| [Transpose](operators/tensor/tensor.transpose.md) | :white_check_mark: | +| [ArgMax](operators/tensor/tensor.argmax.md) | :white_check_mark: | +| [ArgMin](operators/tensor/tensor.argmin.md) | :white_check_mark: | +| [ReduceSum](operators/tensor/tensor.reduce_sum.md) | :white_check_mark: | +| [CumSum](operators/tensor/tensor.cumsum.md) | :white_check_mark: | +| [Relu](operators/neural-network/nn.relu.md) | :white_check_mark: | +| [LeakyRelu](operators/neural-network/nn.leaky_relu.md) | :white_check_mark: | +| [Sigmoid](operators/neural-network/nn.sigmoid.md) | :white_check_mark: | +| [Softmax](operators/neural-network/nn.softmax.md) | :white_check_mark: | +| [LogSoftmax](operators/neural-network/nn.logsoftmax.md) | :white_check_mark: | +| [Softsign](operators/neural-network/nn.softsign.md) | :white_check_mark: | +| [Softplus](operators/neural-network/nn.softplus.md) | :white_check_mark: | +| [Linear](operators/neural-network/nn.linear.md) | :white_check_mark: | +| [Sinh](operators/tensor/tensor.sinh.md) | :white_check_mark: | Performance optimizations: -| Optimization | Implemented | -| :----------------: | :------------------: | -| 8-bit quantization | :white\_check\_mark: | +| Optimization | Implemented | +| :----------------: | :----------------: | +| 8-bit quantization | :white_check_mark: | -Current Operators support: **27/156 (17%)** +Current Operators support: **28/156 (18%)** diff --git a/docs/apis/numbers/fixed-point/fp.sinh.md b/docs/apis/numbers/fixed-point/fp.sinh.md new file mode 100644 index 000000000..2437bdd10 --- /dev/null +++ b/docs/apis/numbers/fixed-point/fp.sinh.md @@ -0,0 +1,28 @@ +# fp.sinh + +```rust +fn sinh(self: FixedType) -> FixedType; +``` + +Returns the value of the hyperbolic sine of the fixed point number. + +## Args + +- `self`(`FixedType`) - The input fixed point + +## Returns + +The hyperbolic sine of the input fixed point number. + +## Examples + +```rust +fn sinh_fp_example() -> FixedType { +// We instantiate fixed point here. +let fp = FixedTrait::from_unscaled_felt(2); + +// We can call `sinh` function as follows. +fp.sinh() +} +>>> {mag: 30424303, sign: false} // = 3.6268604 +``` diff --git a/docs/apis/operators/tensor/tensor.new.md b/docs/apis/operators/tensor/tensor.new.md index 46175508e..dc7955a2c 100644 --- a/docs/apis/operators/tensor/tensor.new.md +++ b/docs/apis/operators/tensor/tensor.new.md @@ -84,4 +84,4 @@ let tensor = TensorTrait::::new(shape.span(), data.span(), extra); return tensor; } -``` \ No newline at end of file +``` diff --git a/docs/apis/operators/tensor/tensor.sinh.md b/docs/apis/operators/tensor/tensor.sinh.md new file mode 100644 index 000000000..575472f97 --- /dev/null +++ b/docs/apis/operators/tensor/tensor.sinh.md @@ -0,0 +1,35 @@ +# tensor.sinh + +```rust +fn sinh(self: @Tensor) -> Tensor; +``` + +Computes the exponential of all elements of the input tensor. + +$$ +y_i=sinh({x_i}) +$$ + +## Args + +- `self`(`@Tensor`) - The input tensor. + +## Returns + +Returns a new tensor in `FixedType` with the exponential of the elements of the input tensor. + +## Examples + +```rust +fn exp_example() -> Tensor { +// We instantiate a 2D Tensor here. +// [[0,1],[2,3]] +let tensor = u32_tensor_2x2_helper(); + +// We can call `sinh` function as follows. +return tensor.sinh(); +} +>>> [[0,9858303],[30424303,84036026]] +// The fixed point representation of +// [[0, 1.175201],[3.62686, 10.0178749]] +``` diff --git a/src/numbers/fixed_point/core.cairo b/src/numbers/fixed_point/core.cairo index 58d939f18..0fd88c80b 100644 --- a/src/numbers/fixed_point/core.cairo +++ b/src/numbers/fixed_point/core.cairo @@ -481,4 +481,34 @@ trait FixedTrait { /// ``` /// fn sqrt(self: FixedType) -> FixedType; + /// # fp.sinh + /// + /// ```rust + /// fn sinh(self: FixedType) -> FixedType; + /// ``` + /// + /// Returns the value of the hyperbolic sine of the fixed point number. + /// + /// ## Args + /// + /// * `self`(`FixedType`) - The input fixed point + /// + /// ## Returns + /// + /// The hyperbolic sine of the input fixed point number. + /// + /// ## Examples + /// + /// ```rust + /// fn sinh_fp_example() -> FixedType { + /// // We instantiate fixed point here. + /// let fp = FixedTrait::from_unscaled_felt(2); + /// + /// // We can call `sinh` function as follows. + /// fp.sinh() + /// } + /// >>> {mag: 30424311, sign: false} // = 3.6268604 + /// ``` + /// + fn sinh(self: FixedType) -> FixedType; } diff --git a/src/numbers/fixed_point/implementations/impl_16x16.cairo b/src/numbers/fixed_point/implementations/impl_16x16.cairo index 943df4761..d5d6efaca 100644 --- a/src/numbers/fixed_point/implementations/impl_16x16.cairo +++ b/src/numbers/fixed_point/implementations/impl_16x16.cairo @@ -81,6 +81,10 @@ impl FP16x16Impl of FixedTrait { fn sqrt(self: FixedType) -> FixedType { return math_16x16::sqrt(self); } + + fn sinh(self: FixedType) -> FixedType { + return math_16x16::sinh(self); + } } impl FP16x16Print of PrintTrait { diff --git a/src/numbers/fixed_point/implementations/impl_8x23.cairo b/src/numbers/fixed_point/implementations/impl_8x23.cairo index 97428ddf3..16869e291 100644 --- a/src/numbers/fixed_point/implementations/impl_8x23.cairo +++ b/src/numbers/fixed_point/implementations/impl_8x23.cairo @@ -81,6 +81,10 @@ impl FP8x23Impl of FixedTrait { fn sqrt(self: FixedType) -> FixedType { return math_8x23::sqrt(self); } + + fn sinh(self: FixedType) -> FixedType { + return math_8x23::sinh(self); + } } impl FP8x23Print of PrintTrait { diff --git a/src/numbers/fixed_point/math/math_16x16.cairo b/src/numbers/fixed_point/math/math_16x16.cairo index 9b8354928..bd8ee85d6 100644 --- a/src/numbers/fixed_point/math/math_16x16.cairo +++ b/src/numbers/fixed_point/math/math_16x16.cairo @@ -453,3 +453,11 @@ fn _pow_int(a: FixedType, b: u128, sign: bool) -> FixedType { fn _split_unsigned(a: FixedType) -> (u128, u128) { return integer::u128_safe_divmod(a.mag, integer::u128_as_non_zero(ONE)); } + +/// Cf: FixedTrait::sinh docstring +fn sinh(a: FixedType) -> FixedType { + let ea = a.exp(); + let num = ea - (FixedTrait::new(ONE, false) / ea); + let denom = FixedTrait::new_unscaled(2_u128, false); + num / denom +} diff --git a/src/numbers/fixed_point/math/math_8x23.cairo b/src/numbers/fixed_point/math/math_8x23.cairo index 658d0c86b..8a4616840 100644 --- a/src/numbers/fixed_point/math/math_8x23.cairo +++ b/src/numbers/fixed_point/math/math_8x23.cairo @@ -455,3 +455,11 @@ fn _pow_int(a: FixedType, b: u128, sign: bool) -> FixedType { fn _split_unsigned(a: FixedType) -> (u128, u128) { return integer::u128_safe_divmod(a.mag, integer::u128_as_non_zero(ONE)); } + +/// Cf: FixedTrait::sinh docstring +fn sinh(a: FixedType) -> FixedType { + let ea = a.exp(); + let num = ea - (FixedTrait::new(ONE, false) / ea); + let denom = FixedTrait::new_unscaled(2_u128, false); + num / denom +} diff --git a/src/operators/tensor/core.cairo b/src/operators/tensor/core.cairo index 434160fce..5bbd25a3a 100644 --- a/src/operators/tensor/core.cairo +++ b/src/operators/tensor/core.cairo @@ -1185,6 +1185,42 @@ trait TensorTrait { /// ``` /// fn cumsum(self: @Tensor, axis: usize, exclusive: Option, reverse: Option) -> Tensor; + /// # tensor.sinh + /// + /// ```rust + /// fn sinh(self: @Tensor) -> Tensor; + /// ``` + /// + /// Computes the exponential of all elements of the input tensor. + /// $$ + /// y_i=sinh({x_i}) + /// $$ + /// + /// ## Args + /// + /// * `self`(`@Tensor`) - The input tensor. + /// + /// ## Returns + /// + /// Returns a new tensor in `FixedType` with the exponential of the elements of the input tensor. + /// + /// ## Examples + /// + /// ```rust + /// fn exp_example() -> Tensor { + /// // We instantiate a 2D Tensor here. + /// // [[0,1],[2,3]] + /// let tensor = u32_tensor_2x2_helper(); + /// + /// // We can call `sinh` function as follows. + /// return tensor.sinh(); + /// } + /// >>> [[0,9858303],[30424311,84036026]] + /// // The fixed point representation of + /// // [[0, 1.175201],[3.62686, 10.0178749]] + /// ``` + /// + fn sinh(self: @Tensor) -> Tensor; } /// Cf: TensorTrait::new docstring diff --git a/src/operators/tensor/implementations/impl_tensor_fp.cairo b/src/operators/tensor/implementations/impl_tensor_fp.cairo index 8e3666302..07bc4bcb2 100644 --- a/src/operators/tensor/implementations/impl_tensor_fp.cairo +++ b/src/operators/tensor/implementations/impl_tensor_fp.cairo @@ -28,6 +28,7 @@ use orion::operators::tensor::math::arithmetic::arithmetic_fp::core::{add, sub, use orion::operators::tensor::math::greater::greater_fp::core::greater; use orion::operators::tensor::math::greater_equal::greater_equal_fp::core::greater_equal; use orion::operators::tensor::math::cumsum::cumsum_fp::core::cumsum; +use orion::operators::tensor::math::sinh::sinh_fp::core::sinh; use orion::utils::check_gas; @@ -125,6 +126,10 @@ impl Tensor_fp of TensorTrait { fn cumsum(self: @Tensor, axis: usize, exclusive:Option, reverse:Option) -> Tensor { cumsum(self, axis, exclusive, reverse).unwrap() } + + fn sinh(self: @Tensor) -> Tensor { + sinh(self).unwrap() + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/implementations/impl_tensor_i32.cairo b/src/operators/tensor/implementations/impl_tensor_i32.cairo index 586b81060..feee98048 100644 --- a/src/operators/tensor/implementations/impl_tensor_i32.cairo +++ b/src/operators/tensor/implementations/impl_tensor_i32.cairo @@ -29,6 +29,7 @@ use orion::operators::tensor::math::exp::exp_i32::core::exp_i32; use orion::operators::tensor::math::ln::ln_i32::core::ln_i32; use orion::operators::tensor::math::arithmetic::arithmetic_i32::{add, sub, mul, div}; use orion::operators::tensor::math::cumsum::cumsum_i32::cumsum; +use orion::operators::tensor::math::sinh::sinh_i32::core::sinh_i32; use orion::utils::check_gas; impl Tensor_i32 of TensorTrait { @@ -123,6 +124,10 @@ impl Tensor_i32 of TensorTrait { fn cumsum(self: @Tensor, axis: usize, exclusive:Option, reverse:Option) -> Tensor { cumsum(self, axis, exclusive, reverse) } + + fn sinh(self: @Tensor) -> Tensor { + sinh_i32(self).unwrap() + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/implementations/impl_tensor_u32.cairo b/src/operators/tensor/implementations/impl_tensor_u32.cairo index 4cf84524a..b397d9637 100644 --- a/src/operators/tensor/implementations/impl_tensor_u32.cairo +++ b/src/operators/tensor/implementations/impl_tensor_u32.cairo @@ -28,6 +28,7 @@ use orion::operators::tensor::math::exp::exp_u32::core::exp_u32; use orion::operators::tensor::math::ln::ln_u32::core::ln_u32; use orion::operators::tensor::math::arithmetic::arithmetic_u32::{add, sub, mul, div}; use orion::operators::tensor::math::cumsum::cumsum_u32::cumsum; +use orion::operators::tensor::math::sinh::sinh_u32::core::sinh_u32; use orion::utils::check_gas; impl Tensor_u32 of TensorTrait { @@ -123,6 +124,9 @@ impl Tensor_u32 of TensorTrait { fn cumsum(self: @Tensor, axis: usize, exclusive:Option, reverse:Option) -> Tensor { cumsum(self, axis, exclusive, reverse) } + fn sinh(self: @Tensor) -> Tensor { + sinh_u32(self).unwrap() + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/math.cairo b/src/operators/tensor/math.cairo index f21ba3d67..1cd55664f 100644 --- a/src/operators/tensor/math.cairo +++ b/src/operators/tensor/math.cairo @@ -14,3 +14,4 @@ mod less_equal; mod abs; mod ceil; mod cumsum; +mod sinh; diff --git a/src/operators/tensor/math/sinh.cairo b/src/operators/tensor/math/sinh.cairo new file mode 100644 index 000000000..f4f28f872 --- /dev/null +++ b/src/operators/tensor/math/sinh.cairo @@ -0,0 +1,3 @@ +mod sinh_i32; +mod sinh_u32; +mod sinh_fp; diff --git a/src/operators/tensor/math/sinh/sinh_fp.cairo b/src/operators/tensor/math/sinh/sinh_fp.cairo new file mode 100644 index 000000000..1a2b31adf --- /dev/null +++ b/src/operators/tensor/math/sinh/sinh_fp.cairo @@ -0,0 +1,3 @@ +mod core; +mod fp8x23; +mod fp16x16; \ No newline at end of file diff --git a/src/operators/tensor/math/sinh/sinh_fp/core.cairo b/src/operators/tensor/math/sinh/sinh_fp/core.cairo new file mode 100644 index 000000000..12258f1a7 --- /dev/null +++ b/src/operators/tensor/math/sinh/sinh_fp/core.cairo @@ -0,0 +1,18 @@ +use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; +use orion::operators::tensor::core::{Tensor}; +use orion::operators::tensor::math::sinh::sinh_fp::fp8x23; +use orion::operators::tensor::math::sinh::sinh_fp::fp16x16; + +/// Cf: TensorTrait::sinh docstring +fn sinh(self: @Tensor) -> Option> { + match *self.extra { + Option::Some(extra_params) => match extra_params.fixed_point { + Option::Some(fixed_point) => match fixed_point { + FixedImpl::FP8x23(()) => Option::Some(fp8x23::sinh(self)), + FixedImpl::FP16x16(()) => Option::Some(fp16x16::sinh(self)), + }, + Option::None(_) => Option::Some(fp16x16::sinh(self)), + }, + Option::None(_) => Option::Some(fp16x16::sinh(self)), + } +} diff --git a/src/operators/tensor/math/sinh/sinh_fp/fp16x16.cairo b/src/operators/tensor/math/sinh/sinh_fp/fp16x16.cairo new file mode 100644 index 000000000..38f146645 --- /dev/null +++ b/src/operators/tensor/math/sinh/sinh_fp/fp16x16.cairo @@ -0,0 +1,28 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::sinh docstring +fn sinh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + result.append(FixedTrait::sinh(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/sinh/sinh_fp/fp8x23.cairo b/src/operators/tensor/math/sinh/sinh_fp/fp8x23.cairo new file mode 100644 index 000000000..79bee213a --- /dev/null +++ b/src/operators/tensor/math/sinh/sinh_fp/fp8x23.cairo @@ -0,0 +1,28 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::sinh docstring +fn sinh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + result.append(FixedTrait::sinh(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/sinh/sinh_i32.cairo b/src/operators/tensor/math/sinh/sinh_i32.cairo new file mode 100644 index 000000000..1a2b31adf --- /dev/null +++ b/src/operators/tensor/math/sinh/sinh_i32.cairo @@ -0,0 +1,3 @@ +mod core; +mod fp8x23; +mod fp16x16; \ No newline at end of file diff --git a/src/operators/tensor/math/sinh/sinh_i32/core.cairo b/src/operators/tensor/math/sinh/sinh_i32/core.cairo new file mode 100644 index 000000000..c07afdb59 --- /dev/null +++ b/src/operators/tensor/math/sinh/sinh_i32/core.cairo @@ -0,0 +1,19 @@ +use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; +use orion::operators::tensor::core::{Tensor}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::math::sinh::sinh_i32::fp8x23; +use orion::operators::tensor::math::sinh::sinh_i32::fp16x16; + +/// Cf: TensorTrait::sinh docstring +fn sinh_i32(self: @Tensor) -> Option> { + match *self.extra { + Option::Some(extra_params) => match extra_params.fixed_point { + Option::Some(fixed_point) => match fixed_point { + FixedImpl::FP8x23(()) => Option::Some(fp8x23::sinh(self)), + FixedImpl::FP16x16(()) => Option::Some(fp16x16::sinh(self)), + }, + Option::None(_) => Option::Some(fp16x16::sinh(self)), + }, + Option::None(_) => Option::Some(fp16x16::sinh(self)), + } +} diff --git a/src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo b/src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo new file mode 100644 index 000000000..342132661 --- /dev/null +++ b/src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo @@ -0,0 +1,37 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::sinh docstring +fn sinh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + + if ele.sign == true { + let ele = FixedTrait::from_unscaled_felt((ele.mag).into() * -1); + result.append(FixedTrait::sinh(ele)) + } else { + let ele = FixedTrait::from_unscaled_felt((ele.mag).into()); + result.append(FixedTrait::sinh(ele)) + } + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo b/src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo new file mode 100644 index 000000000..f9d7d9c42 --- /dev/null +++ b/src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo @@ -0,0 +1,37 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::sinh docstring +fn sinh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + + if ele.sign == true { + let ele = FixedTrait::from_unscaled_felt((ele.mag).into() * -1); + result.append(FixedTrait::sinh(ele)) + } else { + let ele = FixedTrait::from_unscaled_felt((ele.mag).into()); + result.append(FixedTrait::sinh(ele)) + } + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/sinh/sinh_u32.cairo b/src/operators/tensor/math/sinh/sinh_u32.cairo new file mode 100644 index 000000000..1a2b31adf --- /dev/null +++ b/src/operators/tensor/math/sinh/sinh_u32.cairo @@ -0,0 +1,3 @@ +mod core; +mod fp8x23; +mod fp16x16; \ No newline at end of file diff --git a/src/operators/tensor/math/sinh/sinh_u32/core.cairo b/src/operators/tensor/math/sinh/sinh_u32/core.cairo new file mode 100644 index 000000000..27fffa843 --- /dev/null +++ b/src/operators/tensor/math/sinh/sinh_u32/core.cairo @@ -0,0 +1,19 @@ +use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; +use orion::operators::tensor::core::{Tensor}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::math::sinh::sinh_u32::fp8x23; +use orion::operators::tensor::math::sinh::sinh_u32::fp16x16; + +/// Cf: TensorTrait::sinh docstring +fn sinh_u32(self: @Tensor) -> Option> { + match *self.extra { + Option::Some(extra_params) => match extra_params.fixed_point { + Option::Some(fixed_point) => match fixed_point { + FixedImpl::FP8x23(()) => Option::Some(fp8x23::sinh(self)), + FixedImpl::FP16x16(()) => Option::Some(fp16x16::sinh(self)), + }, + Option::None(_) => Option::Some(fp16x16::sinh(self)), + }, + Option::None(_) => Option::Some(fp16x16::sinh(self)), + } +} diff --git a/src/operators/tensor/math/sinh/sinh_u32/fp16x16.cairo b/src/operators/tensor/math/sinh/sinh_u32/fp16x16.cairo new file mode 100644 index 000000000..4d7f40e85 --- /dev/null +++ b/src/operators/tensor/math/sinh/sinh_u32/fp16x16.cairo @@ -0,0 +1,31 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::sinh docstring +fn sinh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = FixedTrait::from_unscaled_felt((*data.pop_front().unwrap()).into()); + + result.append(FixedTrait::sinh(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/sinh/sinh_u32/fp8x23.cairo b/src/operators/tensor/math/sinh/sinh_u32/fp8x23.cairo new file mode 100644 index 000000000..fbe6c6583 --- /dev/null +++ b/src/operators/tensor/math/sinh/sinh_u32/fp8x23.cairo @@ -0,0 +1,31 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::sinh docstring +fn sinh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = FixedTrait::from_unscaled_felt((*data.pop_front().unwrap()).into()); + + result.append(FixedTrait::sinh(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/tests/numbers/fixed_point/fp16x16_test.cairo b/src/tests/numbers/fixed_point/fp16x16_test.cairo index ec1233693..1bfcd3d46 100644 --- a/src/tests/numbers/fixed_point/fp16x16_test.cairo +++ b/src/tests/numbers/fixed_point/fp16x16_test.cairo @@ -323,3 +323,10 @@ fn test_gt() { assert(c > b == false, 'c > b'); assert(c > c == false, 'c > c'); } + +#[test] +#[available_gas(10000000)] +fn test_sinh() { + let a = FixedTrait::from_unscaled_felt(1); + assert(a.sinh().into() == 77016, 'invalid sinh of 1'); +} diff --git a/src/tests/numbers/fixed_point/fp8x23_test.cairo b/src/tests/numbers/fixed_point/fp8x23_test.cairo index a7d60c7c6..bfd26c81a 100644 --- a/src/tests/numbers/fixed_point/fp8x23_test.cairo +++ b/src/tests/numbers/fixed_point/fp8x23_test.cairo @@ -323,3 +323,10 @@ fn test_gt() { assert(c > b == false, 'c > b'); assert(c > c == false, 'c > c'); } + +#[test] +#[available_gas(10000000)] +fn test_sinh() { + let a = FixedTrait::from_unscaled_felt(1); + assert(a.sinh().into() == 9858301, 'invalid sinh of 1'); +} \ No newline at end of file diff --git a/src/tests/operators/tensor/math.cairo b/src/tests/operators/tensor/math.cairo index 994687538..74a629cde 100644 --- a/src/tests/operators/tensor/math.cairo +++ b/src/tests/operators/tensor/math.cairo @@ -14,3 +14,4 @@ mod ceil; mod ln; mod arithmetic; mod cumsum; +mod sinh; diff --git a/src/tests/operators/tensor/math/sinh.cairo b/src/tests/operators/tensor/math/sinh.cairo new file mode 100644 index 000000000..0d4088763 --- /dev/null +++ b/src/tests/operators/tensor/math/sinh.cairo @@ -0,0 +1,3 @@ +mod sinh_u32_test; +mod sinh_i32_test; +mod sinh_fp_test; \ No newline at end of file diff --git a/src/tests/operators/tensor/math/sinh/sinh_fp_test.cairo b/src/tests/operators/tensor/math/sinh/sinh_fp_test.cairo new file mode 100644 index 000000000..2cf901a09 --- /dev/null +++ b/src/tests/operators/tensor/math/sinh/sinh_fp_test.cairo @@ -0,0 +1,2 @@ +mod sinh_fp8x23_test; +mod sinh_fp16x16_test; \ No newline at end of file diff --git a/src/tests/operators/tensor/math/sinh/sinh_fp_test/sinh_fp16x16_test.cairo b/src/tests/operators/tensor/math/sinh/sinh_fp_test/sinh_fp16x16_test.cairo new file mode 100644 index 000000000..e6afc688c --- /dev/null +++ b/src/tests/operators/tensor/math/sinh/sinh_fp_test/sinh_fp16x16_test.cairo @@ -0,0 +1,80 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_sinh_test() { + let tensor = fp_tensor_1x3_helper(); + let result = tensor.sinh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 77016, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 237681, 'result[2] = 3.62686...'); + + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_sinh_test() { + let tensor = fp_tensor_2x2_helper(); + let result = tensor.sinh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 77016, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 237681, 'result[2] = 3.62686...'); + assert((*result.at(3).mag).into() == 656513, 'result[3] = 10.0179...'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_sinh_test() { + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.sinh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 77016, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 237681, 'result[2] = 3.62686...'); + assert((*result.at(3).mag).into() == 656513, 'result[3] = 10.0179...'); + assert((*result.at(4).mag).into() == 1788392, 'result[4] = 27.2899...'); + assert((*result.at(5).mag).into() == 4862819, 'result[5] = 74.2032...'); + assert((*result.at(6).mag).into() == 13218863, 'result[6] = 201.7132...'); + assert((*result.at(7).mag).into() == 35933154, 'result[7] = 548.3161...'); + } +} + diff --git a/src/tests/operators/tensor/math/sinh/sinh_fp_test/sinh_fp8x23_test.cairo b/src/tests/operators/tensor/math/sinh/sinh_fp_test/sinh_fp8x23_test.cairo new file mode 100644 index 000000000..ed35d53aa --- /dev/null +++ b/src/tests/operators/tensor/math/sinh/sinh_fp_test/sinh_fp8x23_test.cairo @@ -0,0 +1,79 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_sinh_test() { + let tensor = fp_tensor_1x3_helper(); + let result = tensor.sinh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 9858301, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 30424303, 'result[2] = 3.62686...'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_sinh_test() { + let tensor = fp_tensor_2x2_helper(); + let result = tensor.sinh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 9858301, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 30424303, 'result[2] = 3.62686...'); + assert((*result.at(3).mag).into() == 84036018, 'result[3] = 10.0179...'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_sinh_test() { + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.sinh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 9858301, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 30424303, 'result[2] = 3.62686...'); + assert((*result.at(3).mag).into() == 84036018, 'result[3] = 10.0179...'); + assert((*result.at(4).mag).into() == 228924379, 'result[4] = 27.2899...'); + assert((*result.at(5).mag).into() == 622461531, 'result[5] = 74.2032...'); + assert((*result.at(6).mag).into() == 1692092259, 'result[6] = 201.7132...'); + assert((*result.at(7).mag).into() == 4599608079, 'result[7] = 548.3161...'); + } +} + diff --git a/src/tests/operators/tensor/math/sinh/sinh_i32_test.cairo b/src/tests/operators/tensor/math/sinh/sinh_i32_test.cairo new file mode 100644 index 000000000..09e5f868d --- /dev/null +++ b/src/tests/operators/tensor/math/sinh/sinh_i32_test.cairo @@ -0,0 +1,113 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_sinh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.sinh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 77016, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 237681, 'result[2] = 3.62686...'); + assert((*result.at(3).mag).into() == 656513, 'result[3] = 10.0179...'); + } +} + +// ===== 2D ===== // + +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_sinh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.sinh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 77016, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 237681, 'result[2] = 3.62686...'); + assert((*result.at(3).mag).into() == 656513, 'result[3] = 10.0179...'); + } +} +// // ===== 3D ===== // + +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_sinh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + data.append(IntegerTrait::new(4, false)); + data.append(IntegerTrait::new(5, false)); + data.append(IntegerTrait::new(6, false)); + data.append(IntegerTrait::new(7, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.sinh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 77016, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 237681, 'result[2] = 3.62686...'); + assert((*result.at(3).mag).into() == 656513, 'result[3] = 10.0179...'); + assert((*result.at(4).mag).into() == 1788392, 'result[4] = 27.2899...'); + assert((*result.at(5).mag).into() == 4862819, 'result[5] = 74.2032...'); + assert((*result.at(6).mag).into() == 13218863, 'result[6] = 201.7132...'); + assert((*result.at(7).mag).into() == 35933154, 'result[7] = 548.3161...'); + } +} + diff --git a/src/tests/operators/tensor/math/sinh/sinh_u32_test.cairo b/src/tests/operators/tensor/math/sinh/sinh_u32_test.cairo new file mode 100644 index 000000000..c1d37ff71 --- /dev/null +++ b/src/tests/operators/tensor/math/sinh/sinh_u32_test.cairo @@ -0,0 +1,110 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_sinh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + + let mut data = ArrayTrait::new(); + data.append(0); + data.append(1); + data.append(2); + data.append(3); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.sinh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 77016, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 237681, 'result[2] = 3.62686...'); + assert((*result.at(3).mag).into() == 656513, 'result[3] = 10.0179...'); + } +} + +// ===== 2D ===== // + +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_sinh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(0); + data.append(1); + data.append(2); + data.append(3); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.sinh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 77016, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 237681, 'result[2] = 3.62686...'); + assert((*result.at(3).mag).into() == 656513, 'result[3] = 10.0179...'); + } +} +// // ===== 3D ===== // + +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_sinh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(0); + data.append(1); + data.append(2); + data.append(3); + data.append(4); + data.append(5); + data.append(6); + data.append(7); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.sinh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 77016, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 237681, 'result[2] = 3.62686...'); + assert((*result.at(3).mag).into() == 656513, 'result[3] = 10.0179...'); + assert((*result.at(4).mag).into() == 1788392, 'result[4] = 27.2899...'); + assert((*result.at(5).mag).into() == 4862819, 'result[5] = 74.2032...'); + assert((*result.at(6).mag).into() == 13218863, 'result[6] = 201.7132...'); + assert((*result.at(7).mag).into() == 35933154, 'result[7] = 548.3161...'); + } +} + From ccbba67017586c9e9571d0b5f974002928e167aa Mon Sep 17 00:00:00 2001 From: Roy Rotstein <112157037+Roee-87@users.noreply.github.com> Date: Tue, 27 Jun 2023 23:45:15 -0700 Subject: [PATCH 058/126] Update src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo Co-authored-by: raphaelDkhn <113879115+raphaelDkhn@users.noreply.github.com> --- src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo b/src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo index 342132661..51034a6b1 100644 --- a/src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo +++ b/src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo @@ -21,7 +21,7 @@ fn sinh(self: @Tensor) -> Tensor { let ele = *data.pop_front().unwrap(); if ele.sign == true { - let ele = FixedTrait::from_unscaled_felt((ele.mag).into() * -1); + let ele = FixedTrait::new_unscaled(ele.mag.into(), ele.sign); result.append(FixedTrait::sinh(ele)) } else { let ele = FixedTrait::from_unscaled_felt((ele.mag).into()); From 6c43a1f085ac51d6494e95c9a4a379368ebcf5cc Mon Sep 17 00:00:00 2001 From: Roy Rotstein <112157037+Roee-87@users.noreply.github.com> Date: Tue, 27 Jun 2023 23:45:42 -0700 Subject: [PATCH 059/126] Update src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo Co-authored-by: raphaelDkhn <113879115+raphaelDkhn@users.noreply.github.com> --- src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo b/src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo index 51034a6b1..fa046f157 100644 --- a/src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo +++ b/src/operators/tensor/math/sinh/sinh_i32/fp16x16.cairo @@ -24,7 +24,7 @@ fn sinh(self: @Tensor) -> Tensor { let ele = FixedTrait::new_unscaled(ele.mag.into(), ele.sign); result.append(FixedTrait::sinh(ele)) } else { - let ele = FixedTrait::from_unscaled_felt((ele.mag).into()); + let ele = FixedTrait::new_unscaled(ele.mag.into(), ele.sign); result.append(FixedTrait::sinh(ele)) } From 57e13508965b01461154a43a58f2f207ef818c1b Mon Sep 17 00:00:00 2001 From: Roy Rotstein <112157037+Roee-87@users.noreply.github.com> Date: Tue, 27 Jun 2023 23:45:53 -0700 Subject: [PATCH 060/126] Update src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo Co-authored-by: raphaelDkhn <113879115+raphaelDkhn@users.noreply.github.com> --- src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo b/src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo index f9d7d9c42..2ae18585a 100644 --- a/src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo +++ b/src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo @@ -21,7 +21,7 @@ fn sinh(self: @Tensor) -> Tensor { let ele = *data.pop_front().unwrap(); if ele.sign == true { - let ele = FixedTrait::from_unscaled_felt((ele.mag).into() * -1); + let ele = FixedTrait::new_unscaled(ele.mag.into(), ele.sign); result.append(FixedTrait::sinh(ele)) } else { let ele = FixedTrait::from_unscaled_felt((ele.mag).into()); From d6d0a12e631fad3ae539c7131f941941ebc42e6b Mon Sep 17 00:00:00 2001 From: Roy Rotstein <112157037+Roee-87@users.noreply.github.com> Date: Tue, 27 Jun 2023 23:46:22 -0700 Subject: [PATCH 061/126] Update src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo Co-authored-by: raphaelDkhn <113879115+raphaelDkhn@users.noreply.github.com> --- src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo b/src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo index 2ae18585a..7cb35bbea 100644 --- a/src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo +++ b/src/operators/tensor/math/sinh/sinh_i32/fp8x23.cairo @@ -24,7 +24,7 @@ fn sinh(self: @Tensor) -> Tensor { let ele = FixedTrait::new_unscaled(ele.mag.into(), ele.sign); result.append(FixedTrait::sinh(ele)) } else { - let ele = FixedTrait::from_unscaled_felt((ele.mag).into()); + let ele = FixedTrait::new_unscaled(ele.mag.into(), ele.sign); result.append(FixedTrait::sinh(ele)) } From 93a611d102926befc08432582a81cd632699d5de Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Wed, 28 Jun 2023 10:36:22 +0300 Subject: [PATCH 062/126] update doc --- docs/SUMMARY.md | 1 + docs/apis/compatibility.md | 73 +++++++++++++++++++------------------- 2 files changed, 38 insertions(+), 36 deletions(-) diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md index ef5095919..fa72c8f5f 100644 --- a/docs/SUMMARY.md +++ b/docs/SUMMARY.md @@ -34,6 +34,7 @@ * [tensor.abs](apis/operators/tensor/tensor.abs.md) * [tensor.ceil](apis/operators/tensor/tensor.ceil.md) * [tensor.cumsum](apis/operators/tensor/tensor.cumsum.md) + * [tensor.sinh](apis/operators/tensor/tensor.sinh.md) * [Neural Network](apis/operators/neural-network/README.md) * [nn.relu](apis/operators/neural-network/nn.relu.md) * [nn.leaky\_relu](apis/operators/neural-network/nn.leaky\_relu.md) diff --git a/docs/apis/compatibility.md b/docs/apis/compatibility.md index 93219de55..f10368f7f 100644 --- a/docs/apis/compatibility.md +++ b/docs/apis/compatibility.md @@ -4,43 +4,44 @@ To see the full list of available ONNX Operators refer to [this table](https://g You can see below the list of current supported ONNX Operators: -| Operator | Implemented | -| :--------------------------------------------------------: | :----------------: | -| [MatMul](operators/tensor/tensor.matmul.md) | :white_check_mark: | -| [MatMulInteger](operators/tensor/tensor.matmul.md) | :white_check_mark: | -| [Add](operators/tensor/#arithmetic-operations) | :white_check_mark: | -| [Sub](operators/tensor/#arithmetic-operations) | :white_check_mark: | -| [Mul](operators/tensor/#arithmetic-operations) | :white_check_mark: | -| [Div](operators/tensor/#arithmetic-operations) | :white_check_mark: | -| [Equal](operators/tensor/tensor.eq.md) | :white_check_mark: | -| [Greater](operators/tensor/tensor.greater.md) | :white_check_mark: | -| [GreaterOrEqual](operators/tensor/tensor.greater_equal.md) | :white_check_mark: | -| [Less](operators/tensor/tensor.less.md) | :white_check_mark: | -| [LessOrEqual](operators/tensor/tensor.less_equal.md) | :white_check_mark: | -| [Abs](operators/tensor/tensor.abs.md) | :white_check_mark: | -| [Ceil](operators/tensor/tensor.ceil.md) | :white_check_mark: | -| [Exp](operators/tensor/tensor.exp.md) | :white_check_mark: | -| [Ln](operators/tensor/tensor.ln.md) | :white_check_mark: | -| [Reshape](operators/tensor/tensor.reshape.md) | :white_check_mark: | -| [Transpose](operators/tensor/tensor.transpose.md) | :white_check_mark: | -| [ArgMax](operators/tensor/tensor.argmax.md) | :white_check_mark: | -| [ArgMin](operators/tensor/tensor.argmin.md) | :white_check_mark: | -| [ReduceSum](operators/tensor/tensor.reduce_sum.md) | :white_check_mark: | -| [CumSum](operators/tensor/tensor.cumsum.md) | :white_check_mark: | -| [Relu](operators/neural-network/nn.relu.md) | :white_check_mark: | -| [LeakyRelu](operators/neural-network/nn.leaky_relu.md) | :white_check_mark: | -| [Sigmoid](operators/neural-network/nn.sigmoid.md) | :white_check_mark: | -| [Softmax](operators/neural-network/nn.softmax.md) | :white_check_mark: | -| [LogSoftmax](operators/neural-network/nn.logsoftmax.md) | :white_check_mark: | -| [Softsign](operators/neural-network/nn.softsign.md) | :white_check_mark: | -| [Softplus](operators/neural-network/nn.softplus.md) | :white_check_mark: | -| [Linear](operators/neural-network/nn.linear.md) | :white_check_mark: | -| [Sinh](operators/tensor/tensor.sinh.md) | :white_check_mark: | +| Operator | Implemented | +| :---------------------------------------------------------: | :------------------: | +| [MatMul](operators/tensor/tensor.matmul.md) | :white\_check\_mark: | +| [MatMulInteger](operators/tensor/tensor.matmul.md) | :white\_check\_mark: | +| [Add](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | +| [Sub](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | +| [Mul](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | +| [Div](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | +| [Equal](operators/tensor/tensor.eq.md) | :white\_check\_mark: | +| [Greater](operators/tensor/tensor.greater.md) | :white\_check\_mark: | +| [GreaterOrEqual](operators/tensor/tensor.greater\_equal.md) | :white\_check\_mark: | +| [Less](operators/tensor/tensor.less.md) | :white\_check\_mark: | +| [LessOrEqual](operators/tensor/tensor.less\_equal.md) | :white\_check\_mark: | +| [Abs](operators/tensor/tensor.abs.md) | :white\_check\_mark: | +| [Ceil](operators/tensor/tensor.ceil.md) | :white\_check\_mark: | +| [Exp](operators/tensor/tensor.exp.md) | :white\_check\_mark: | +| [Ln](operators/tensor/tensor.ln.md) | :white\_check\_mark: | +| [Reshape](operators/tensor/tensor.reshape.md) | :white\_check\_mark: | +| [Transpose](operators/tensor/tensor.transpose.md) | :white\_check\_mark: | +| [ArgMax](operators/tensor/tensor.argmax.md) | :white\_check\_mark: | +| [ArgMin](operators/tensor/tensor.argmin.md) | :white\_check\_mark: | +| [ReduceSum](operators/tensor/tensor.reduce\_sum.md) | :white\_check\_mark: | +| [CumSum](operators/tensor/tensor.cumsum.md) | :white\_check\_mark: | +| [Relu](operators/neural-network/nn.relu.md) | :white\_check\_mark: | +| [LeakyRelu](operators/neural-network/nn.leaky\_relu.md) | :white\_check\_mark: | +| [Sigmoid](operators/neural-network/nn.sigmoid.md) | :white\_check\_mark: | +| [Softmax](operators/neural-network/nn.softmax.md) | :white\_check\_mark: | +| [LogSoftmax](operators/neural-network/nn.logsoftmax.md) | :white\_check\_mark: | +| [Softsign](operators/neural-network/nn.softsign.md) | :white\_check\_mark: | +| [Softplus](operators/neural-network/nn.softplus.md) | :white\_check\_mark: | +| [Linear](operators/neural-network/nn.linear.md) | :white\_check\_mark: | +| [Sinh](operators/tensor/tensor.sinh.md) | :white\_check\_mark: | + Performance optimizations: -| Optimization | Implemented | -| :----------------: | :----------------: | -| 8-bit quantization | :white_check_mark: | +| Optimization | Implemented | +| :----------------: | :------------------: | +| 8-bit quantization | :white\_check\_mark: | -Current Operators support: **28/156 (18%)** +Current Operators support: **28/156 (18%)** \ No newline at end of file From 2428947102e740e61ec024a3130a23a0041d9792 Mon Sep 17 00:00:00 2001 From: Roy Date: Wed, 28 Jun 2023 17:46:46 -0700 Subject: [PATCH 063/126] added cosh w/ tests --- docs/CHANGELOG.md | 6 + docs/apis/compatibility.md | 74 ++++++------ docs/apis/numbers/fixed-point/fp.cosh.md | 28 +++++ docs/apis/numbers/fixed-point/fp.sinh.md | 4 +- docs/apis/operators/tensor/tensor.cosh.md | 34 ++++++ docs/apis/operators/tensor/tensor.sinh.md | 9 +- src/numbers/fixed_point/core.cairo | 30 +++++ .../implementations/impl_16x16.cairo | 5 + .../implementations/impl_8x23.cairo | 4 + src/numbers/fixed_point/math/math_16x16.cairo | 8 ++ src/numbers/fixed_point/math/math_8x23.cairo | 8 ++ src/operators/tensor/core.cairo | 40 ++++++- .../implementations/impl_tensor_fp.cairo | 5 + .../implementations/impl_tensor_i32.cairo | 5 + .../implementations/impl_tensor_u32.cairo | 6 + src/operators/tensor/math.cairo | 1 + src/operators/tensor/math/cosh.cairo | 3 + src/operators/tensor/math/cosh/cosh_fp.cairo | 3 + .../tensor/math/cosh/cosh_fp/core.cairo | 18 +++ .../tensor/math/cosh/cosh_fp/fp16x16.cairo | 28 +++++ .../tensor/math/cosh/cosh_fp/fp8x23.cairo | 28 +++++ src/operators/tensor/math/cosh/cosh_i32.cairo | 3 + .../tensor/math/cosh/cosh_i32/core.cairo | 19 +++ .../tensor/math/cosh/cosh_i32/fp16x16.cairo | 37 ++++++ .../tensor/math/cosh/cosh_i32/fp8x23.cairo | 37 ++++++ src/operators/tensor/math/cosh/cosh_u32.cairo | 3 + .../tensor/math/cosh/cosh_u32/core.cairo | 19 +++ .../tensor/math/cosh/cosh_u32/fp16x16.cairo | 31 +++++ .../tensor/math/cosh/cosh_u32/fp8x23.cairo | 31 +++++ .../numbers/fixed_point/fp16x16_test.cairo | 7 ++ .../numbers/fixed_point/fp8x23_test.cairo | 7 ++ src/tests/operators/tensor/math.cairo | 1 + src/tests/operators/tensor/math/cosh.cairo | 3 + .../tensor/math/cosh/cosh_fp_test.cairo | 2 + .../cosh/cosh_fp_test/cosh_fp16x16_test.cairo | 79 ++++++++++++ .../cosh/cosh_fp_test/cosh_fp8x23_test.cairo | 81 +++++++++++++ .../tensor/math/cosh/cosh_i32_test.cairo | 113 ++++++++++++++++++ .../tensor/math/cosh/cosh_u32_test.cairo | 110 +++++++++++++++++ 38 files changed, 884 insertions(+), 46 deletions(-) create mode 100644 docs/apis/numbers/fixed-point/fp.cosh.md create mode 100644 docs/apis/operators/tensor/tensor.cosh.md create mode 100644 src/operators/tensor/math/cosh.cairo create mode 100644 src/operators/tensor/math/cosh/cosh_fp.cairo create mode 100644 src/operators/tensor/math/cosh/cosh_fp/core.cairo create mode 100644 src/operators/tensor/math/cosh/cosh_fp/fp16x16.cairo create mode 100644 src/operators/tensor/math/cosh/cosh_fp/fp8x23.cairo create mode 100644 src/operators/tensor/math/cosh/cosh_i32.cairo create mode 100644 src/operators/tensor/math/cosh/cosh_i32/core.cairo create mode 100644 src/operators/tensor/math/cosh/cosh_i32/fp16x16.cairo create mode 100644 src/operators/tensor/math/cosh/cosh_i32/fp8x23.cairo create mode 100644 src/operators/tensor/math/cosh/cosh_u32.cairo create mode 100644 src/operators/tensor/math/cosh/cosh_u32/core.cairo create mode 100644 src/operators/tensor/math/cosh/cosh_u32/fp16x16.cairo create mode 100644 src/operators/tensor/math/cosh/cosh_u32/fp8x23.cairo create mode 100644 src/tests/operators/tensor/math/cosh.cairo create mode 100644 src/tests/operators/tensor/math/cosh/cosh_fp_test.cairo create mode 100644 src/tests/operators/tensor/math/cosh/cosh_fp_test/cosh_fp16x16_test.cairo create mode 100644 src/tests/operators/tensor/math/cosh/cosh_fp_test/cosh_fp8x23_test.cairo create mode 100644 src/tests/operators/tensor/math/cosh/cosh_i32_test.cairo create mode 100644 src/tests/operators/tensor/math/cosh/cosh_u32_test.cairo diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md index 404f8de0d..c6616f7c1 100644 --- a/docs/CHANGELOG.md +++ b/docs/CHANGELOG.md @@ -4,6 +4,12 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [Unreleased] - 2023-06-28 + +### Added + +- Added cosh operator + ## [Unreleased] - 2023-06-27 ### Added diff --git a/docs/apis/compatibility.md b/docs/apis/compatibility.md index f10368f7f..ad2023954 100644 --- a/docs/apis/compatibility.md +++ b/docs/apis/compatibility.md @@ -4,44 +4,44 @@ To see the full list of available ONNX Operators refer to [this table](https://g You can see below the list of current supported ONNX Operators: -| Operator | Implemented | -| :---------------------------------------------------------: | :------------------: | -| [MatMul](operators/tensor/tensor.matmul.md) | :white\_check\_mark: | -| [MatMulInteger](operators/tensor/tensor.matmul.md) | :white\_check\_mark: | -| [Add](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | -| [Sub](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | -| [Mul](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | -| [Div](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | -| [Equal](operators/tensor/tensor.eq.md) | :white\_check\_mark: | -| [Greater](operators/tensor/tensor.greater.md) | :white\_check\_mark: | -| [GreaterOrEqual](operators/tensor/tensor.greater\_equal.md) | :white\_check\_mark: | -| [Less](operators/tensor/tensor.less.md) | :white\_check\_mark: | -| [LessOrEqual](operators/tensor/tensor.less\_equal.md) | :white\_check\_mark: | -| [Abs](operators/tensor/tensor.abs.md) | :white\_check\_mark: | -| [Ceil](operators/tensor/tensor.ceil.md) | :white\_check\_mark: | -| [Exp](operators/tensor/tensor.exp.md) | :white\_check\_mark: | -| [Ln](operators/tensor/tensor.ln.md) | :white\_check\_mark: | -| [Reshape](operators/tensor/tensor.reshape.md) | :white\_check\_mark: | -| [Transpose](operators/tensor/tensor.transpose.md) | :white\_check\_mark: | -| [ArgMax](operators/tensor/tensor.argmax.md) | :white\_check\_mark: | -| [ArgMin](operators/tensor/tensor.argmin.md) | :white\_check\_mark: | -| [ReduceSum](operators/tensor/tensor.reduce\_sum.md) | :white\_check\_mark: | -| [CumSum](operators/tensor/tensor.cumsum.md) | :white\_check\_mark: | -| [Relu](operators/neural-network/nn.relu.md) | :white\_check\_mark: | -| [LeakyRelu](operators/neural-network/nn.leaky\_relu.md) | :white\_check\_mark: | -| [Sigmoid](operators/neural-network/nn.sigmoid.md) | :white\_check\_mark: | -| [Softmax](operators/neural-network/nn.softmax.md) | :white\_check\_mark: | -| [LogSoftmax](operators/neural-network/nn.logsoftmax.md) | :white\_check\_mark: | -| [Softsign](operators/neural-network/nn.softsign.md) | :white\_check\_mark: | -| [Softplus](operators/neural-network/nn.softplus.md) | :white\_check\_mark: | -| [Linear](operators/neural-network/nn.linear.md) | :white\_check\_mark: | -| [Sinh](operators/tensor/tensor.sinh.md) | :white\_check\_mark: | - +| Operator | Implemented | +| :--------------------------------------------------------: | :----------------: | +| [MatMul](operators/tensor/tensor.matmul.md) | :white_check_mark: | +| [MatMulInteger](operators/tensor/tensor.matmul.md) | :white_check_mark: | +| [Add](operators/tensor/#arithmetic-operations) | :white_check_mark: | +| [Sub](operators/tensor/#arithmetic-operations) | :white_check_mark: | +| [Mul](operators/tensor/#arithmetic-operations) | :white_check_mark: | +| [Div](operators/tensor/#arithmetic-operations) | :white_check_mark: | +| [Equal](operators/tensor/tensor.eq.md) | :white_check_mark: | +| [Greater](operators/tensor/tensor.greater.md) | :white_check_mark: | +| [GreaterOrEqual](operators/tensor/tensor.greater_equal.md) | :white_check_mark: | +| [Less](operators/tensor/tensor.less.md) | :white_check_mark: | +| [LessOrEqual](operators/tensor/tensor.less_equal.md) | :white_check_mark: | +| [Abs](operators/tensor/tensor.abs.md) | :white_check_mark: | +| [Ceil](operators/tensor/tensor.ceil.md) | :white_check_mark: | +| [Exp](operators/tensor/tensor.exp.md) | :white_check_mark: | +| [Ln](operators/tensor/tensor.ln.md) | :white_check_mark: | +| [Reshape](operators/tensor/tensor.reshape.md) | :white_check_mark: | +| [Transpose](operators/tensor/tensor.transpose.md) | :white_check_mark: | +| [ArgMax](operators/tensor/tensor.argmax.md) | :white_check_mark: | +| [ArgMin](operators/tensor/tensor.argmin.md) | :white_check_mark: | +| [ReduceSum](operators/tensor/tensor.reduce_sum.md) | :white_check_mark: | +| [CumSum](operators/tensor/tensor.cumsum.md) | :white_check_mark: | +| [Relu](operators/neural-network/nn.relu.md) | :white_check_mark: | +| [LeakyRelu](operators/neural-network/nn.leaky_relu.md) | :white_check_mark: | +| [Sigmoid](operators/neural-network/nn.sigmoid.md) | :white_check_mark: | +| [Softmax](operators/neural-network/nn.softmax.md) | :white_check_mark: | +| [LogSoftmax](operators/neural-network/nn.logsoftmax.md) | :white_check_mark: | +| [Softsign](operators/neural-network/nn.softsign.md) | :white_check_mark: | +| [Softplus](operators/neural-network/nn.softplus.md) | :white_check_mark: | +| [Linear](operators/neural-network/nn.linear.md) | :white_check_mark: | +| [Sinh](operators/tensor/tensor.sinh.md) | :white_check_mark: | +| [Cosh](operators/tensor/tensor.cosh.md) | :white_check_mark: | Performance optimizations: -| Optimization | Implemented | -| :----------------: | :------------------: | -| 8-bit quantization | :white\_check\_mark: | +| Optimization | Implemented | +| :----------------: | :----------------: | +| 8-bit quantization | :white_check_mark: | -Current Operators support: **28/156 (18%)** \ No newline at end of file +Current Operators support: **29/156 (18%)** diff --git a/docs/apis/numbers/fixed-point/fp.cosh.md b/docs/apis/numbers/fixed-point/fp.cosh.md new file mode 100644 index 000000000..c92f572d8 --- /dev/null +++ b/docs/apis/numbers/fixed-point/fp.cosh.md @@ -0,0 +1,28 @@ +# fp.cosh + +```rust +fn cosh(self: FixedType) -> FixedType; +``` + +Returns the value of the hyperbolic cosine of the fixed point number. + +## Args + +- `self`(`FixedType`) - The input fixed point + +## Returns + +The hyperbolic cosine of the input fixed point number. + +## Examples + +```rust +fn cosh_fp_example() -> FixedType { +// We instantiate fixed point here. +let fp = FixedTrait::from_unscaled_felt(2); + +// We can call `cosh` function as follows. +fp.cosh() +} +>>> {mag: 31559577, sign: false} // = 3.62686... +``` diff --git a/docs/apis/numbers/fixed-point/fp.sinh.md b/docs/apis/numbers/fixed-point/fp.sinh.md index 2437bdd10..80f4b7f5d 100644 --- a/docs/apis/numbers/fixed-point/fp.sinh.md +++ b/docs/apis/numbers/fixed-point/fp.sinh.md @@ -8,7 +8,7 @@ Returns the value of the hyperbolic sine of the fixed point number. ## Args -- `self`(`FixedType`) - The input fixed point +* `self`(`FixedType`) - The input fixed point ## Returns @@ -24,5 +24,5 @@ let fp = FixedTrait::from_unscaled_felt(2); // We can call `sinh` function as follows. fp.sinh() } ->>> {mag: 30424303, sign: false} // = 3.6268604 +>>> {mag: 30424311, sign: false} // = 3.6268604 ``` diff --git a/docs/apis/operators/tensor/tensor.cosh.md b/docs/apis/operators/tensor/tensor.cosh.md new file mode 100644 index 000000000..52e68a298 --- /dev/null +++ b/docs/apis/operators/tensor/tensor.cosh.md @@ -0,0 +1,34 @@ +# tensor.cosh + +```rust +fn cosh(self: @Tensor) -> Tensor; +``` + +Computes the hyperbolic cosine of all elements of the input tensor. +$$ +y_i=cosh({x_i}) +$$ + +## Args + +* `self`(`@Tensor`) - The input tensor. + +## Returns + +Returns a new tensor in `FixedType` with the hyperblic cosine of the elements of the input tensor. + +## Examples + +```rust +fn exp_example() -> Tensor { +// We instantiate a 2D Tensor here. +// [[0,1],[2,3]] +let tensor = u32_tensor_2x2_helper(); + +// We can call `cosh` function as follows. +return tensor.cosh(); +} +>>> [[9858303,12944299],[31559585,84453670]] +// The fixed point representation of +// [[0, 1.54308],[3.762196, 10.067662]] +``` diff --git a/docs/apis/operators/tensor/tensor.sinh.md b/docs/apis/operators/tensor/tensor.sinh.md index 575472f97..fca23c6d2 100644 --- a/docs/apis/operators/tensor/tensor.sinh.md +++ b/docs/apis/operators/tensor/tensor.sinh.md @@ -4,19 +4,18 @@ fn sinh(self: @Tensor) -> Tensor; ``` -Computes the exponential of all elements of the input tensor. - +Computes the hyperbolic sine of all elements of the input tensor. $$ y_i=sinh({x_i}) $$ ## Args -- `self`(`@Tensor`) - The input tensor. +* `self`(`@Tensor`) - The input tensor. ## Returns -Returns a new tensor in `FixedType` with the exponential of the elements of the input tensor. +Returns a new tensor in `FixedType` with the hyperbolic sine of the elements of the input tensor. ## Examples @@ -29,7 +28,7 @@ let tensor = u32_tensor_2x2_helper(); // We can call `sinh` function as follows. return tensor.sinh(); } ->>> [[0,9858303],[30424303,84036026]] +>>> [[0,9858303],[30424311,84036026]] // The fixed point representation of // [[0, 1.175201],[3.62686, 10.0178749]] ``` diff --git a/src/numbers/fixed_point/core.cairo b/src/numbers/fixed_point/core.cairo index 0fd88c80b..243a6b626 100644 --- a/src/numbers/fixed_point/core.cairo +++ b/src/numbers/fixed_point/core.cairo @@ -511,4 +511,34 @@ trait FixedTrait { /// ``` /// fn sinh(self: FixedType) -> FixedType; + /// # fp.cosh + /// + /// ```rust + /// fn cosh(self: FixedType) -> FixedType; + /// ``` + /// + /// Returns the value of the hyperbolic cosine of the fixed point number. + /// + /// ## Args + /// + /// * `self`(`FixedType`) - The input fixed point + /// + /// ## Returns + /// + /// The hyperbolic cosine of the input fixed point number. + /// + /// ## Examples + /// + /// ```rust + /// fn cosh_fp_example() -> FixedType { + /// // We instantiate fixed point here. + /// let fp = FixedTrait::from_unscaled_felt(2); + /// + /// // We can call `cosh` function as follows. + /// fp.cosh() + /// } + /// >>> {mag: 31559585, sign: false} // = 3.762195... + /// ``` + /// + fn cosh(self: FixedType) -> FixedType; } diff --git a/src/numbers/fixed_point/implementations/impl_16x16.cairo b/src/numbers/fixed_point/implementations/impl_16x16.cairo index d5d6efaca..0a821adfa 100644 --- a/src/numbers/fixed_point/implementations/impl_16x16.cairo +++ b/src/numbers/fixed_point/implementations/impl_16x16.cairo @@ -85,6 +85,11 @@ impl FP16x16Impl of FixedTrait { fn sinh(self: FixedType) -> FixedType { return math_16x16::sinh(self); } + + fn cosh(self: FixedType) -> FixedType { + return math_16x16::cosh(self); + } + } impl FP16x16Print of PrintTrait { diff --git a/src/numbers/fixed_point/implementations/impl_8x23.cairo b/src/numbers/fixed_point/implementations/impl_8x23.cairo index 16869e291..a9cd0b3d7 100644 --- a/src/numbers/fixed_point/implementations/impl_8x23.cairo +++ b/src/numbers/fixed_point/implementations/impl_8x23.cairo @@ -85,6 +85,10 @@ impl FP8x23Impl of FixedTrait { fn sinh(self: FixedType) -> FixedType { return math_8x23::sinh(self); } + + fn cosh(self: FixedType) -> FixedType { + return math_8x23::cosh(self); + } } impl FP8x23Print of PrintTrait { diff --git a/src/numbers/fixed_point/math/math_16x16.cairo b/src/numbers/fixed_point/math/math_16x16.cairo index bd8ee85d6..fe3b1abf0 100644 --- a/src/numbers/fixed_point/math/math_16x16.cairo +++ b/src/numbers/fixed_point/math/math_16x16.cairo @@ -461,3 +461,11 @@ fn sinh(a: FixedType) -> FixedType { let denom = FixedTrait::new_unscaled(2_u128, false); num / denom } + +/// Cf: FixedTrait::cosh docstring +fn cosh(a: FixedType) -> FixedType { + let ea = a.exp(); + let num = ea + (FixedTrait::new(ONE, false) / ea); + let denom = FixedTrait::new_unscaled(2_u128, false); + num / denom +} \ No newline at end of file diff --git a/src/numbers/fixed_point/math/math_8x23.cairo b/src/numbers/fixed_point/math/math_8x23.cairo index 8a4616840..4bed0dba7 100644 --- a/src/numbers/fixed_point/math/math_8x23.cairo +++ b/src/numbers/fixed_point/math/math_8x23.cairo @@ -463,3 +463,11 @@ fn sinh(a: FixedType) -> FixedType { let denom = FixedTrait::new_unscaled(2_u128, false); num / denom } + +/// Cf: FixedTrait::cosh docstring +fn cosh(a: FixedType) -> FixedType { + let ea = a.exp(); + let num = ea + (FixedTrait::new(ONE, false) / ea); + let denom = FixedTrait::new_unscaled(2_u128, false); + num / denom +} diff --git a/src/operators/tensor/core.cairo b/src/operators/tensor/core.cairo index 5bbd25a3a..1e3d0a78e 100644 --- a/src/operators/tensor/core.cairo +++ b/src/operators/tensor/core.cairo @@ -1191,7 +1191,7 @@ trait TensorTrait { /// fn sinh(self: @Tensor) -> Tensor; /// ``` /// - /// Computes the exponential of all elements of the input tensor. + /// Computes the hyperbolic sine of all elements of the input tensor. /// $$ /// y_i=sinh({x_i}) /// $$ @@ -1202,7 +1202,7 @@ trait TensorTrait { /// /// ## Returns /// - /// Returns a new tensor in `FixedType` with the exponential of the elements of the input tensor. + /// Returns a new tensor in `FixedType` with the hyperbolic sine of the elements of the input tensor. /// /// ## Examples /// @@ -1221,6 +1221,42 @@ trait TensorTrait { /// ``` /// fn sinh(self: @Tensor) -> Tensor; + /// # tensor.cosh + /// + /// ```rust + /// fn cosh(self: @Tensor) -> Tensor; + /// ``` + /// + /// Computes the hyperbolic cosine of all elements of the input tensor. + /// $$ + /// y_i=cosh({x_i}) + /// $$ + /// + /// ## Args + /// + /// * `self`(`@Tensor`) - The input tensor. + /// + /// ## Returns + /// + /// Returns a new tensor in `FixedType` with the hyperblic cosine of the elements of the input tensor. + /// + /// ## Examples + /// + /// ```rust + /// fn exp_example() -> Tensor { + /// // We instantiate a 2D Tensor here. + /// // [[0,1],[2,3]] + /// let tensor = u32_tensor_2x2_helper(); + /// + /// // We can call `cosh` function as follows. + /// return tensor.cosh(); + /// } + /// >>> [[9858303,12944299],[31559585,84453670]] + /// // The fixed point representation of + /// // [[0, 1.54308],[3.762196, 10.067662]] + /// ``` + /// + fn cosh(self: @Tensor) -> Tensor; } /// Cf: TensorTrait::new docstring diff --git a/src/operators/tensor/implementations/impl_tensor_fp.cairo b/src/operators/tensor/implementations/impl_tensor_fp.cairo index 07bc4bcb2..91863514a 100644 --- a/src/operators/tensor/implementations/impl_tensor_fp.cairo +++ b/src/operators/tensor/implementations/impl_tensor_fp.cairo @@ -29,6 +29,7 @@ use orion::operators::tensor::math::greater::greater_fp::core::greater; use orion::operators::tensor::math::greater_equal::greater_equal_fp::core::greater_equal; use orion::operators::tensor::math::cumsum::cumsum_fp::core::cumsum; use orion::operators::tensor::math::sinh::sinh_fp::core::sinh; +use orion::operators::tensor::math::cosh::cosh_fp::core::cosh; use orion::utils::check_gas; @@ -130,6 +131,10 @@ impl Tensor_fp of TensorTrait { fn sinh(self: @Tensor) -> Tensor { sinh(self).unwrap() } + + fn cosh(self: @Tensor) -> Tensor { + cosh(self).unwrap() + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/implementations/impl_tensor_i32.cairo b/src/operators/tensor/implementations/impl_tensor_i32.cairo index feee98048..c3b3daf6e 100644 --- a/src/operators/tensor/implementations/impl_tensor_i32.cairo +++ b/src/operators/tensor/implementations/impl_tensor_i32.cairo @@ -30,6 +30,7 @@ use orion::operators::tensor::math::ln::ln_i32::core::ln_i32; use orion::operators::tensor::math::arithmetic::arithmetic_i32::{add, sub, mul, div}; use orion::operators::tensor::math::cumsum::cumsum_i32::cumsum; use orion::operators::tensor::math::sinh::sinh_i32::core::sinh_i32; +use orion::operators::tensor::math::cosh::cosh_i32::core::cosh_i32; use orion::utils::check_gas; impl Tensor_i32 of TensorTrait { @@ -128,6 +129,10 @@ impl Tensor_i32 of TensorTrait { fn sinh(self: @Tensor) -> Tensor { sinh_i32(self).unwrap() } + + fn cosh(self: @Tensor) -> Tensor { + cosh_i32(self).unwrap() + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/implementations/impl_tensor_u32.cairo b/src/operators/tensor/implementations/impl_tensor_u32.cairo index b397d9637..78840c58d 100644 --- a/src/operators/tensor/implementations/impl_tensor_u32.cairo +++ b/src/operators/tensor/implementations/impl_tensor_u32.cairo @@ -29,6 +29,7 @@ use orion::operators::tensor::math::ln::ln_u32::core::ln_u32; use orion::operators::tensor::math::arithmetic::arithmetic_u32::{add, sub, mul, div}; use orion::operators::tensor::math::cumsum::cumsum_u32::cumsum; use orion::operators::tensor::math::sinh::sinh_u32::core::sinh_u32; +use orion::operators::tensor::math::cosh::cosh_u32::core::cosh_u32; use orion::utils::check_gas; impl Tensor_u32 of TensorTrait { @@ -124,9 +125,14 @@ impl Tensor_u32 of TensorTrait { fn cumsum(self: @Tensor, axis: usize, exclusive:Option, reverse:Option) -> Tensor { cumsum(self, axis, exclusive, reverse) } + fn sinh(self: @Tensor) -> Tensor { sinh_u32(self).unwrap() } + + fn cosh(self: @Tensor) -> Tensor { + cosh_u32(self).unwrap() + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/math.cairo b/src/operators/tensor/math.cairo index 1cd55664f..951e98d9b 100644 --- a/src/operators/tensor/math.cairo +++ b/src/operators/tensor/math.cairo @@ -15,3 +15,4 @@ mod abs; mod ceil; mod cumsum; mod sinh; +mod cosh; diff --git a/src/operators/tensor/math/cosh.cairo b/src/operators/tensor/math/cosh.cairo new file mode 100644 index 000000000..681a9572f --- /dev/null +++ b/src/operators/tensor/math/cosh.cairo @@ -0,0 +1,3 @@ +mod cosh_i32; +mod cosh_u32; +mod cosh_fp; \ No newline at end of file diff --git a/src/operators/tensor/math/cosh/cosh_fp.cairo b/src/operators/tensor/math/cosh/cosh_fp.cairo new file mode 100644 index 000000000..1a2b31adf --- /dev/null +++ b/src/operators/tensor/math/cosh/cosh_fp.cairo @@ -0,0 +1,3 @@ +mod core; +mod fp8x23; +mod fp16x16; \ No newline at end of file diff --git a/src/operators/tensor/math/cosh/cosh_fp/core.cairo b/src/operators/tensor/math/cosh/cosh_fp/core.cairo new file mode 100644 index 000000000..5d6f922d3 --- /dev/null +++ b/src/operators/tensor/math/cosh/cosh_fp/core.cairo @@ -0,0 +1,18 @@ +use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; +use orion::operators::tensor::core::{Tensor}; +use orion::operators::tensor::math::cosh::cosh_fp::fp8x23; +use orion::operators::tensor::math::cosh::cosh_fp::fp16x16; + +/// Cf: TensorTrait::cosh docstring +fn cosh(self: @Tensor) -> Option> { + match *self.extra { + Option::Some(extra_params) => match extra_params.fixed_point { + Option::Some(fixed_point) => match fixed_point { + FixedImpl::FP8x23(()) => Option::Some(fp8x23::cosh(self)), + FixedImpl::FP16x16(()) => Option::Some(fp16x16::cosh(self)), + }, + Option::None(_) => Option::Some(fp16x16::cosh(self)), + }, + Option::None(_) => Option::Some(fp16x16::cosh(self)), + } +} diff --git a/src/operators/tensor/math/cosh/cosh_fp/fp16x16.cairo b/src/operators/tensor/math/cosh/cosh_fp/fp16x16.cairo new file mode 100644 index 000000000..b4b66ce4e --- /dev/null +++ b/src/operators/tensor/math/cosh/cosh_fp/fp16x16.cairo @@ -0,0 +1,28 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::cosh docstring +fn cosh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + result.append(FixedTrait::cosh(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/cosh/cosh_fp/fp8x23.cairo b/src/operators/tensor/math/cosh/cosh_fp/fp8x23.cairo new file mode 100644 index 000000000..6ab14f294 --- /dev/null +++ b/src/operators/tensor/math/cosh/cosh_fp/fp8x23.cairo @@ -0,0 +1,28 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::cosh docstring +fn cosh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + result.append(FixedTrait::cosh(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/cosh/cosh_i32.cairo b/src/operators/tensor/math/cosh/cosh_i32.cairo new file mode 100644 index 000000000..1a2b31adf --- /dev/null +++ b/src/operators/tensor/math/cosh/cosh_i32.cairo @@ -0,0 +1,3 @@ +mod core; +mod fp8x23; +mod fp16x16; \ No newline at end of file diff --git a/src/operators/tensor/math/cosh/cosh_i32/core.cairo b/src/operators/tensor/math/cosh/cosh_i32/core.cairo new file mode 100644 index 000000000..70367409a --- /dev/null +++ b/src/operators/tensor/math/cosh/cosh_i32/core.cairo @@ -0,0 +1,19 @@ +use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; +use orion::operators::tensor::core::{Tensor}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::math::cosh::cosh_i32::fp8x23; +use orion::operators::tensor::math::cosh::cosh_i32::fp16x16; + +/// Cf: TensorTrait::cosh docstring +fn cosh_i32(self: @Tensor) -> Option> { + match *self.extra { + Option::Some(extra_params) => match extra_params.fixed_point { + Option::Some(fixed_point) => match fixed_point { + FixedImpl::FP8x23(()) => Option::Some(fp8x23::cosh(self)), + FixedImpl::FP16x16(()) => Option::Some(fp16x16::cosh(self)), + }, + Option::None(_) => Option::Some(fp16x16::cosh(self)), + }, + Option::None(_) => Option::Some(fp16x16::cosh(self)), + } +} diff --git a/src/operators/tensor/math/cosh/cosh_i32/fp16x16.cairo b/src/operators/tensor/math/cosh/cosh_i32/fp16x16.cairo new file mode 100644 index 000000000..d77990ec1 --- /dev/null +++ b/src/operators/tensor/math/cosh/cosh_i32/fp16x16.cairo @@ -0,0 +1,37 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::cosh docstring +fn cosh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + + if ele.sign == true { + let ele = FixedTrait::new_unscaled(ele.mag.into(), ele.sign); + result.append(FixedTrait::cosh(ele)) + } else { + let ele = FixedTrait::new_unscaled(ele.mag.into(), ele.sign); + result.append(FixedTrait::cosh(ele)) + } + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/cosh/cosh_i32/fp8x23.cairo b/src/operators/tensor/math/cosh/cosh_i32/fp8x23.cairo new file mode 100644 index 000000000..77663817c --- /dev/null +++ b/src/operators/tensor/math/cosh/cosh_i32/fp8x23.cairo @@ -0,0 +1,37 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::cosh docstring +fn cosh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + + if ele.sign == true { + let ele = FixedTrait::new_unscaled(ele.mag.into(), ele.sign); + result.append(FixedTrait::cosh(ele)) + } else { + let ele = FixedTrait::new_unscaled(ele.mag.into(), ele.sign); + result.append(FixedTrait::cosh(ele)) + } + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/cosh/cosh_u32.cairo b/src/operators/tensor/math/cosh/cosh_u32.cairo new file mode 100644 index 000000000..1a2b31adf --- /dev/null +++ b/src/operators/tensor/math/cosh/cosh_u32.cairo @@ -0,0 +1,3 @@ +mod core; +mod fp8x23; +mod fp16x16; \ No newline at end of file diff --git a/src/operators/tensor/math/cosh/cosh_u32/core.cairo b/src/operators/tensor/math/cosh/cosh_u32/core.cairo new file mode 100644 index 000000000..e1b67beea --- /dev/null +++ b/src/operators/tensor/math/cosh/cosh_u32/core.cairo @@ -0,0 +1,19 @@ +use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; +use orion::operators::tensor::core::{Tensor}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::math::cosh::cosh_u32::fp8x23; +use orion::operators::tensor::math::cosh::cosh_u32::fp16x16; + +/// Cf: TensorTrait::cosh docstring +fn cosh_u32(self: @Tensor) -> Option> { + match *self.extra { + Option::Some(extra_params) => match extra_params.fixed_point { + Option::Some(fixed_point) => match fixed_point { + FixedImpl::FP8x23(()) => Option::Some(fp8x23::cosh(self)), + FixedImpl::FP16x16(()) => Option::Some(fp16x16::cosh(self)), + }, + Option::None(_) => Option::Some(fp16x16::cosh(self)), + }, + Option::None(_) => Option::Some(fp16x16::cosh(self)), + } +} diff --git a/src/operators/tensor/math/cosh/cosh_u32/fp16x16.cairo b/src/operators/tensor/math/cosh/cosh_u32/fp16x16.cairo new file mode 100644 index 000000000..c1be449d6 --- /dev/null +++ b/src/operators/tensor/math/cosh/cosh_u32/fp16x16.cairo @@ -0,0 +1,31 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::cosh docstring +fn cosh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = FixedTrait::from_unscaled_felt((*data.pop_front().unwrap()).into()); + + result.append(FixedTrait::cosh(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/cosh/cosh_u32/fp8x23.cairo b/src/operators/tensor/math/cosh/cosh_u32/fp8x23.cairo new file mode 100644 index 000000000..d58ac8b43 --- /dev/null +++ b/src/operators/tensor/math/cosh/cosh_u32/fp8x23.cairo @@ -0,0 +1,31 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::cosh docstring +fn cosh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = FixedTrait::from_unscaled_felt((*data.pop_front().unwrap()).into()); + + result.append(FixedTrait::cosh(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/tests/numbers/fixed_point/fp16x16_test.cairo b/src/tests/numbers/fixed_point/fp16x16_test.cairo index 1bfcd3d46..c2f9d4127 100644 --- a/src/tests/numbers/fixed_point/fp16x16_test.cairo +++ b/src/tests/numbers/fixed_point/fp16x16_test.cairo @@ -330,3 +330,10 @@ fn test_sinh() { let a = FixedTrait::from_unscaled_felt(1); assert(a.sinh().into() == 77016, 'invalid sinh of 1'); } + +#[test] +#[available_gas(10000000)] +fn test_coshh() { + let a = FixedTrait::from_unscaled_felt(1); + assert(a.cosh().into() == 101125, 'invalid cosh of 1'); +} diff --git a/src/tests/numbers/fixed_point/fp8x23_test.cairo b/src/tests/numbers/fixed_point/fp8x23_test.cairo index bfd26c81a..7a2cc8d75 100644 --- a/src/tests/numbers/fixed_point/fp8x23_test.cairo +++ b/src/tests/numbers/fixed_point/fp8x23_test.cairo @@ -329,4 +329,11 @@ fn test_gt() { fn test_sinh() { let a = FixedTrait::from_unscaled_felt(1); assert(a.sinh().into() == 9858301, 'invalid sinh of 1'); +} + +#[test] +#[available_gas(10000000)] +fn test_coshh() { + let a = FixedTrait::from_unscaled_felt(1); + assert(a.cosh().into() == 12944297, 'invalid cosh of 1'); } \ No newline at end of file diff --git a/src/tests/operators/tensor/math.cairo b/src/tests/operators/tensor/math.cairo index 74a629cde..4d526a0ed 100644 --- a/src/tests/operators/tensor/math.cairo +++ b/src/tests/operators/tensor/math.cairo @@ -15,3 +15,4 @@ mod ln; mod arithmetic; mod cumsum; mod sinh; +mod cosh; \ No newline at end of file diff --git a/src/tests/operators/tensor/math/cosh.cairo b/src/tests/operators/tensor/math/cosh.cairo new file mode 100644 index 000000000..adeea19fa --- /dev/null +++ b/src/tests/operators/tensor/math/cosh.cairo @@ -0,0 +1,3 @@ +mod cosh_u32_test; +mod cosh_i32_test; +mod cosh_fp_test; diff --git a/src/tests/operators/tensor/math/cosh/cosh_fp_test.cairo b/src/tests/operators/tensor/math/cosh/cosh_fp_test.cairo new file mode 100644 index 000000000..4505f78f8 --- /dev/null +++ b/src/tests/operators/tensor/math/cosh/cosh_fp_test.cairo @@ -0,0 +1,2 @@ +mod cosh_fp8x23_test; +mod cosh_fp16x16_test; \ No newline at end of file diff --git a/src/tests/operators/tensor/math/cosh/cosh_fp_test/cosh_fp16x16_test.cairo b/src/tests/operators/tensor/math/cosh/cosh_fp_test/cosh_fp16x16_test.cairo new file mode 100644 index 000000000..8820bfe61 --- /dev/null +++ b/src/tests/operators/tensor/math/cosh/cosh_fp_test/cosh_fp16x16_test.cairo @@ -0,0 +1,79 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_cosh_test() { + let tensor = fp_tensor_1x3_helper(); + let result = tensor.cosh().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 101125, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 246550, 'result[2] = 3.62686...'); + + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_cosh_test() { + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cosh().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 101125, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 246550, 'result[2] = 3.62686...'); + assert((*result.at(3).mag).into() == 659775, 'result[3] = 10.0179...'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_cosh_test() { + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cosh().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 101125, 'result[1] = 1.5431...'); + assert((*result.at(2).mag).into() == 246550, 'result[2] = 3.7622...'); + assert((*result.at(3).mag).into() == 659775, 'result[3] = 10.0677...'); + assert((*result.at(4).mag).into() == 1789592, 'result[4] = 27.3082...'); + assert((*result.at(5).mag).into() == 4863260, 'result[5] = 74.20995...'); + assert((*result.at(6).mag).into() == 13219025, 'result[6] = 201.7156...'); + assert((*result.at(7).mag).into() == 35933213, 'result[7] = 548.3170...'); + } +} diff --git a/src/tests/operators/tensor/math/cosh/cosh_fp_test/cosh_fp8x23_test.cairo b/src/tests/operators/tensor/math/cosh/cosh_fp_test/cosh_fp8x23_test.cairo new file mode 100644 index 000000000..db7c910e0 --- /dev/null +++ b/src/tests/operators/tensor/math/cosh/cosh_fp_test/cosh_fp8x23_test.cairo @@ -0,0 +1,81 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_cosh_test() { + let tensor = fp_tensor_1x3_helper(); + let result = tensor.cosh().data; + + assert((*result.at(0).mag).into() == 8388608, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 12944297, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 31559577, 'result[2] = 3.62686...'); + + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_cosh_test() { + let tensor = fp_tensor_2x2_helper(); + let result = tensor.cosh().data; + + assert((*result.at(0).mag).into() == 8388608, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 12944297, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 31559577, 'result[2] = 3.62686...'); + assert((*result.at(3).mag).into() == 84453662, 'result[3] = 10.0179...'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_cosh_test() { + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.cosh().data; + + assert((*result.at(0).mag).into() == 8388608, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 12944297, 'result[1] = 1.175201...'); + assert((*result.at(2).mag).into() == 31559577, 'result[2] = 3.62686...'); + assert((*result.at(3).mag).into() == 84453662, 'result[3] = 10.0179...'); + assert((*result.at(4).mag).into() == 229078021, 'result[4] = 27.2899...'); + assert((*result.at(5).mag).into() == 622518053, 'result[5] = 74.209...'); + assert((*result.at(6).mag).into() == 1692113052, 'result[6] = 201.7156...'); + assert((*result.at(7).mag).into() == 4599615728, 'result[7] = 548.3170...'); + } +} + diff --git a/src/tests/operators/tensor/math/cosh/cosh_i32_test.cairo b/src/tests/operators/tensor/math/cosh/cosh_i32_test.cairo new file mode 100644 index 000000000..a6916917a --- /dev/null +++ b/src/tests/operators/tensor/math/cosh/cosh_i32_test.cairo @@ -0,0 +1,113 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_cosh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.cosh().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 101125, 'result[1] = 1.5431...'); + assert((*result.at(2).mag).into() == 246550, 'result[2] = 3.7622...'); + assert((*result.at(3).mag).into() == 659775, 'result[3] = 10.0677...'); + } +} + +// ===== 2D ===== // + +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_cosh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.cosh().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 101125, 'result[1] = 1.5431...'); + assert((*result.at(2).mag).into() == 246550, 'result[2] = 3.7622...'); + assert((*result.at(3).mag).into() == 659775, 'result[3] = 10.0677...'); + } +} +// // ===== 3D ===== // + +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_cosh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + data.append(IntegerTrait::new(4, false)); + data.append(IntegerTrait::new(5, false)); + data.append(IntegerTrait::new(6, false)); + data.append(IntegerTrait::new(7, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.cosh().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 101125, 'result[1] = 1.5431...'); + assert((*result.at(2).mag).into() == 246550, 'result[2] = 3.7622...'); + assert((*result.at(3).mag).into() == 659775, 'result[3] = 10.0677...'); + assert((*result.at(4).mag).into() == 1789592, 'result[4] = 27.3082...'); + assert((*result.at(5).mag).into() == 4863260, 'result[5] = 74.20995...'); + assert((*result.at(6).mag).into() == 13219025, 'result[6] = 201.7156...'); + assert((*result.at(7).mag).into() == 35933213, 'result[7] = 548.3170...'); + } +} + diff --git a/src/tests/operators/tensor/math/cosh/cosh_u32_test.cairo b/src/tests/operators/tensor/math/cosh/cosh_u32_test.cairo new file mode 100644 index 000000000..06b581a31 --- /dev/null +++ b/src/tests/operators/tensor/math/cosh/cosh_u32_test.cairo @@ -0,0 +1,110 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_cosh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + + let mut data = ArrayTrait::new(); + data.append(0); + data.append(1); + data.append(2); + data.append(3); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.cosh().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 101125, 'result[1] = 1.5431...'); + assert((*result.at(2).mag).into() == 246550, 'result[2] = 3.7622...'); + assert((*result.at(3).mag).into() == 659775, 'result[3] = 10.0677...'); + } +} + +// ===== 2D ===== // + +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_cosh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(0); + data.append(1); + data.append(2); + data.append(3); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.cosh().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 101125, 'result[1] = 1.5431...'); + assert((*result.at(2).mag).into() == 246550, 'result[2] = 3.7622...'); + assert((*result.at(3).mag).into() == 659775, 'result[3] = 10.0677...'); + } +} +// // ===== 3D ===== // + +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_cosh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(0); + data.append(1); + data.append(2); + data.append(3); + data.append(4); + data.append(5); + data.append(6); + data.append(7); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.cosh().data; + + assert((*result.at(0).mag).into() == 65536, 'result[0] = 1'); + assert((*result.at(1).mag).into() == 101125, 'result[1] = 1.5431...'); + assert((*result.at(2).mag).into() == 246550, 'result[2] = 3.7622...'); + assert((*result.at(3).mag).into() == 659775, 'result[3] = 10.0677...'); + assert((*result.at(4).mag).into() == 1789592, 'result[4] = 27.3082...'); + assert((*result.at(5).mag).into() == 4863260, 'result[5] = 74.20995...'); + assert((*result.at(6).mag).into() == 13219025, 'result[6] = 201.7156...'); + assert((*result.at(7).mag).into() == 35933213, 'result[7] = 548.3170...'); + } +} + From 300052f6a45baee0cd3a2e3eeee1f487035c5087 Mon Sep 17 00:00:00 2001 From: Roy Date: Wed, 28 Jun 2023 20:29:19 -0700 Subject: [PATCH 064/126] added tanh w/ tests --- docs/CHANGELOG.md | 6 + docs/SUMMARY.md | 139 +++++++++--------- docs/apis/compatibility.md | 74 +++++----- docs/apis/numbers/fixed-point/fp.sinh.md | 4 +- docs/apis/numbers/fixed-point/fp.tanh.md | 28 ++++ docs/apis/operators/tensor/tensor.sinh.md | 5 +- docs/apis/operators/tensor/tensor.tanh.md | 34 +++++ src/numbers/fixed_point/core.cairo | 30 ++++ .../implementations/impl_16x16.cairo | 4 + .../implementations/impl_8x23.cairo | 4 + src/numbers/fixed_point/math/math_16x16.cairo | 8 + src/numbers/fixed_point/math/math_8x23.cairo | 8 + src/operators/tensor/core.cairo | 36 +++++ .../implementations/impl_tensor_fp.cairo | 5 + .../implementations/impl_tensor_i32.cairo | 5 + .../implementations/impl_tensor_u32.cairo | 6 + src/operators/tensor/math.cairo | 1 + src/operators/tensor/math/tanh.cairo | 3 + src/operators/tensor/math/tanh/tanh_fp.cairo | 3 + .../tensor/math/tanh/tanh_fp/core.cairo | 18 +++ .../tensor/math/tanh/tanh_fp/fp16x16.cairo | 28 ++++ .../tensor/math/tanh/tanh_fp/fp8x23.cairo | 28 ++++ src/operators/tensor/math/tanh/tanh_i32.cairo | 3 + .../tensor/math/tanh/tanh_i32/core.cairo | 19 +++ .../tensor/math/tanh/tanh_i32/fp16x16.cairo | 37 +++++ .../tensor/math/tanh/tanh_i32/fp8x23.cairo | 37 +++++ src/operators/tensor/math/tanh/tanh_u32.cairo | 3 + .../tensor/math/tanh/tanh_u32/core.cairo | 19 +++ .../tensor/math/tanh/tanh_u32/fp16x16.cairo | 31 ++++ .../tensor/math/tanh/tanh_u32/fp8x23.cairo | 31 ++++ .../numbers/fixed_point/fp16x16_test.cairo | 7 + .../numbers/fixed_point/fp8x23_test.cairo | 7 + src/tests/operators/tensor/math.cairo | 1 + src/tests/operators/tensor/math/tanh.cairo | 3 + .../tensor/math/tanh/tanh_fp_test.cairo | 2 + .../tanh/tanh_fp_test/tanh_fp16x16_test.cairo | 96 ++++++++++++ .../tanh/tanh_fp_test/tanh_fp8x23_test.cairo | 81 ++++++++++ .../tensor/math/tanh/tanh_i32_test.cairo | 113 ++++++++++++++ .../tensor/math/tanh/tanh_u32_test.cairo | 110 ++++++++++++++ 39 files changed, 966 insertions(+), 111 deletions(-) create mode 100644 docs/apis/numbers/fixed-point/fp.tanh.md create mode 100644 docs/apis/operators/tensor/tensor.tanh.md create mode 100644 src/operators/tensor/math/tanh.cairo create mode 100644 src/operators/tensor/math/tanh/tanh_fp.cairo create mode 100644 src/operators/tensor/math/tanh/tanh_fp/core.cairo create mode 100644 src/operators/tensor/math/tanh/tanh_fp/fp16x16.cairo create mode 100644 src/operators/tensor/math/tanh/tanh_fp/fp8x23.cairo create mode 100644 src/operators/tensor/math/tanh/tanh_i32.cairo create mode 100644 src/operators/tensor/math/tanh/tanh_i32/core.cairo create mode 100644 src/operators/tensor/math/tanh/tanh_i32/fp16x16.cairo create mode 100644 src/operators/tensor/math/tanh/tanh_i32/fp8x23.cairo create mode 100644 src/operators/tensor/math/tanh/tanh_u32.cairo create mode 100644 src/operators/tensor/math/tanh/tanh_u32/core.cairo create mode 100644 src/operators/tensor/math/tanh/tanh_u32/fp16x16.cairo create mode 100644 src/operators/tensor/math/tanh/tanh_u32/fp8x23.cairo create mode 100644 src/tests/operators/tensor/math/tanh.cairo create mode 100644 src/tests/operators/tensor/math/tanh/tanh_fp_test.cairo create mode 100644 src/tests/operators/tensor/math/tanh/tanh_fp_test/tanh_fp16x16_test.cairo create mode 100644 src/tests/operators/tensor/math/tanh/tanh_fp_test/tanh_fp8x23_test.cairo create mode 100644 src/tests/operators/tensor/math/tanh/tanh_i32_test.cairo create mode 100644 src/tests/operators/tensor/math/tanh/tanh_u32_test.cairo diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md index 404f8de0d..ae9db4777 100644 --- a/docs/CHANGELOG.md +++ b/docs/CHANGELOG.md @@ -8,6 +8,12 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), ### Added +- Added tanh operator + +## [Unreleased] - 2023-06-27 + +### Added + - Added sinh operator ## [Unreleased] - 2023-06-24 diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md index fa72c8f5f..aa261dae4 100644 --- a/docs/SUMMARY.md +++ b/docs/SUMMARY.md @@ -2,81 +2,82 @@ ## 👋 Welcome -* [Orion](README.md) -* [Why Validity ML?](welcome/why-validity-ml.md) +- [Orion](README.md) +- [Why Validity ML?](welcome/why-validity-ml.md) ## 🧱 APIs -* [Get Started](apis/get-started.md) -* [Compatibility](apis/compatibility.md) -* [Operators](apis/operators/README.md) - * [Tensor](apis/operators/tensor/README.md) - * [tensor.new](apis/operators/tensor/tensor.new.md) - * [tensor.at](apis/operators/tensor/tensor.at.md) - * [tensor.min](apis/operators/tensor/tensor.min.md) - * [tensor.max](apis/operators/tensor/tensor.max.md) - * [tensor.stride](apis/operators/tensor/tensor.stride.md) - * [tensor.ravel\_index](apis/operators/tensor/tensor.ravel\_index.md) - * [tensor.unravel\_index](apis/operators/tensor/tensor.unravel\_index.md) - * [tensor.reshape](apis/operators/tensor/tensor.reshape.md) - * [tensor.transpose](apis/operators/tensor/tensor.transpose.md) - * [tensor.reduce\_sum](apis/operators/tensor/tensor.reduce\_sum.md) - * [tensor.argmax](apis/operators/tensor/tensor.argmax.md) - * [tensor.argmin](apis/operators/tensor/tensor.argmin.md) - * [tensor.matmul](apis/operators/tensor/tensor.matmul.md) - * [tensor.exp](apis/operators/tensor/tensor.exp.md) - * [tensor.ln](apis/operators/tensor/tensor.ln.md) - * [tensor.eq](apis/operators/tensor/tensor.eq.md) - * [tensor.greater](apis/operators/tensor/tensor.greater.md) - * [tensor.greater\_equal](apis/operators/tensor/tensor.greater\_equal.md) - * [tensor.less](apis/operators/tensor/tensor.less.md) - * [tensor.less\_equal](apis/operators/tensor/tensor.less\_equal.md) - * [tensor.abs](apis/operators/tensor/tensor.abs.md) - * [tensor.ceil](apis/operators/tensor/tensor.ceil.md) - * [tensor.cumsum](apis/operators/tensor/tensor.cumsum.md) - * [tensor.sinh](apis/operators/tensor/tensor.sinh.md) - * [Neural Network](apis/operators/neural-network/README.md) - * [nn.relu](apis/operators/neural-network/nn.relu.md) - * [nn.leaky\_relu](apis/operators/neural-network/nn.leaky\_relu.md) - * [nn.sigmoid](apis/operators/neural-network/nn.sigmoid.md) - * [nn.softmax](apis/operators/neural-network/nn.softmax.md) - * [nn.logsoftmax](apis/operators/neural-network/nn.logsoftmax.md) - * [nn.softsign](apis/operators/neural-network/nn.softsign.md) - * [nn.softplus](apis/operators/neural-network/nn.softplus.md) - * [nn.linear](apis/operators/neural-network/nn.linear.md) -* [Numbers](apis/numbers/README.md) - * [Signed Integer](apis/numbers/signed-integer/README.md) - * [int.new](apis/numbers/signed-integer/int.new.md) - * [int.div\_rem](apis/numbers/signed-integer/int.div\_rem.md) - * [int.abs](apis/numbers/signed-integer/int.abs.md) - * [int.max](apis/numbers/signed-integer/int.max.md) - * [int.min](apis/numbers/signed-integer/int.min.md) - * [Fixed Point](apis/numbers/fixed-point/README.md) - * [fp.new](apis/numbers/fixed-point/fp.new.md) - * [fp.new\_unscaled](apis/numbers/fixed-point/fp.new\_unscaled.md) - * [fp.from\_felt](apis/numbers/fixed-point/fp.from\_felt.md) - * [fp.from\_unscaled\_felt](apis/numbers/fixed-point/fp.from\_unscaled\_felt.md) - * [fp.abs](apis/numbers/fixed-point/fp.abs.md) - * [fp.ceil](apis/numbers/fixed-point/fp.ceil.md) - * [fp.floor](apis/numbers/fixed-point/fp.floor.md) - * [fp.exp](apis/numbers/fixed-point/fp.exp.md) - * [fp.exp2](apis/numbers/fixed-point/fp.exp2.md) - * [fp.ln](apis/numbers/fixed-point/fp.ln.md) - * [fp.log2](apis/numbers/fixed-point/fp.log2.md) - * [fp.log10](apis/numbers/fixed-point/fp.log10.md) - * [fp.pow](apis/numbers/fixed-point/fp.pow.md) - * [fp.round](apis/numbers/fixed-point/fp.round.md) - * [fp.sqrt](apis/numbers/fixed-point/fp.sqrt.md) -* [Performance](apis/performance/README.md) - * [performance.quantize\_linear](apis/performance/performance.quantize\_linear.md) - * [performance.quantize\_linear\_from\_fp](apis/performance/performance.quantize\_linear\_from\_fp.md) +- [Get Started](apis/get-started.md) +- [Compatibility](apis/compatibility.md) +- [Operators](apis/operators/README.md) + - [Tensor](apis/operators/tensor/README.md) + - [tensor.new](apis/operators/tensor/tensor.new.md) + - [tensor.at](apis/operators/tensor/tensor.at.md) + - [tensor.min](apis/operators/tensor/tensor.min.md) + - [tensor.max](apis/operators/tensor/tensor.max.md) + - [tensor.stride](apis/operators/tensor/tensor.stride.md) + - [tensor.ravel_index](apis/operators/tensor/tensor.ravel_index.md) + - [tensor.unravel_index](apis/operators/tensor/tensor.unravel_index.md) + - [tensor.reshape](apis/operators/tensor/tensor.reshape.md) + - [tensor.transpose](apis/operators/tensor/tensor.transpose.md) + - [tensor.reduce_sum](apis/operators/tensor/tensor.reduce_sum.md) + - [tensor.argmax](apis/operators/tensor/tensor.argmax.md) + - [tensor.argmin](apis/operators/tensor/tensor.argmin.md) + - [tensor.matmul](apis/operators/tensor/tensor.matmul.md) + - [tensor.exp](apis/operators/tensor/tensor.exp.md) + - [tensor.ln](apis/operators/tensor/tensor.ln.md) + - [tensor.eq](apis/operators/tensor/tensor.eq.md) + - [tensor.greater](apis/operators/tensor/tensor.greater.md) + - [tensor.greater_equal](apis/operators/tensor/tensor.greater_equal.md) + - [tensor.less](apis/operators/tensor/tensor.less.md) + - [tensor.less_equal](apis/operators/tensor/tensor.less_equal.md) + - [tensor.abs](apis/operators/tensor/tensor.abs.md) + - [tensor.ceil](apis/operators/tensor/tensor.ceil.md) + - [tensor.cumsum](apis/operators/tensor/tensor.cumsum.md) + - [tensor.sinh](apis/operators/tensor/tensor.sinh.md) + - [tensor.tanh](apis/operators/tensor/tensor.tanh.md) + - [Neural Network](apis/operators/neural-network/README.md) + - [nn.relu](apis/operators/neural-network/nn.relu.md) + - [nn.leaky_relu](apis/operators/neural-network/nn.leaky_relu.md) + - [nn.sigmoid](apis/operators/neural-network/nn.sigmoid.md) + - [nn.softmax](apis/operators/neural-network/nn.softmax.md) + - [nn.logsoftmax](apis/operators/neural-network/nn.logsoftmax.md) + - [nn.softsign](apis/operators/neural-network/nn.softsign.md) + - [nn.softplus](apis/operators/neural-network/nn.softplus.md) + - [nn.linear](apis/operators/neural-network/nn.linear.md) +- [Numbers](apis/numbers/README.md) + - [Signed Integer](apis/numbers/signed-integer/README.md) + - [int.new](apis/numbers/signed-integer/int.new.md) + - [int.div_rem](apis/numbers/signed-integer/int.div_rem.md) + - [int.abs](apis/numbers/signed-integer/int.abs.md) + - [int.max](apis/numbers/signed-integer/int.max.md) + - [int.min](apis/numbers/signed-integer/int.min.md) + - [Fixed Point](apis/numbers/fixed-point/README.md) + - [fp.new](apis/numbers/fixed-point/fp.new.md) + - [fp.new_unscaled](apis/numbers/fixed-point/fp.new_unscaled.md) + - [fp.from_felt](apis/numbers/fixed-point/fp.from_felt.md) + - [fp.from_unscaled_felt](apis/numbers/fixed-point/fp.from_unscaled_felt.md) + - [fp.abs](apis/numbers/fixed-point/fp.abs.md) + - [fp.ceil](apis/numbers/fixed-point/fp.ceil.md) + - [fp.floor](apis/numbers/fixed-point/fp.floor.md) + - [fp.exp](apis/numbers/fixed-point/fp.exp.md) + - [fp.exp2](apis/numbers/fixed-point/fp.exp2.md) + - [fp.ln](apis/numbers/fixed-point/fp.ln.md) + - [fp.log2](apis/numbers/fixed-point/fp.log2.md) + - [fp.log10](apis/numbers/fixed-point/fp.log10.md) + - [fp.pow](apis/numbers/fixed-point/fp.pow.md) + - [fp.round](apis/numbers/fixed-point/fp.round.md) + - [fp.sqrt](apis/numbers/fixed-point/fp.sqrt.md) +- [Performance](apis/performance/README.md) + - [performance.quantize_linear](apis/performance/performance.quantize_linear.md) + - [performance.quantize_linear_from_fp](apis/performance/performance.quantize_linear_from_fp.md) ## 💖 Community -* [Algorithms](community/algorithms.md) -* [Contribute](community/contribute.md) +- [Algorithms](community/algorithms.md) +- [Contribute](community/contribute.md) ## 📖 Resources -* [Tutorials](resources/tutorials/README.md) - * [MNIST Classification with Orion](resources/tutorials/mnist-classification-with-orion.md) +- [Tutorials](resources/tutorials/README.md) + - [MNIST Classification with Orion](resources/tutorials/mnist-classification-with-orion.md) diff --git a/docs/apis/compatibility.md b/docs/apis/compatibility.md index f10368f7f..e51a2bbe3 100644 --- a/docs/apis/compatibility.md +++ b/docs/apis/compatibility.md @@ -4,44 +4,44 @@ To see the full list of available ONNX Operators refer to [this table](https://g You can see below the list of current supported ONNX Operators: -| Operator | Implemented | -| :---------------------------------------------------------: | :------------------: | -| [MatMul](operators/tensor/tensor.matmul.md) | :white\_check\_mark: | -| [MatMulInteger](operators/tensor/tensor.matmul.md) | :white\_check\_mark: | -| [Add](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | -| [Sub](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | -| [Mul](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | -| [Div](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | -| [Equal](operators/tensor/tensor.eq.md) | :white\_check\_mark: | -| [Greater](operators/tensor/tensor.greater.md) | :white\_check\_mark: | -| [GreaterOrEqual](operators/tensor/tensor.greater\_equal.md) | :white\_check\_mark: | -| [Less](operators/tensor/tensor.less.md) | :white\_check\_mark: | -| [LessOrEqual](operators/tensor/tensor.less\_equal.md) | :white\_check\_mark: | -| [Abs](operators/tensor/tensor.abs.md) | :white\_check\_mark: | -| [Ceil](operators/tensor/tensor.ceil.md) | :white\_check\_mark: | -| [Exp](operators/tensor/tensor.exp.md) | :white\_check\_mark: | -| [Ln](operators/tensor/tensor.ln.md) | :white\_check\_mark: | -| [Reshape](operators/tensor/tensor.reshape.md) | :white\_check\_mark: | -| [Transpose](operators/tensor/tensor.transpose.md) | :white\_check\_mark: | -| [ArgMax](operators/tensor/tensor.argmax.md) | :white\_check\_mark: | -| [ArgMin](operators/tensor/tensor.argmin.md) | :white\_check\_mark: | -| [ReduceSum](operators/tensor/tensor.reduce\_sum.md) | :white\_check\_mark: | -| [CumSum](operators/tensor/tensor.cumsum.md) | :white\_check\_mark: | -| [Relu](operators/neural-network/nn.relu.md) | :white\_check\_mark: | -| [LeakyRelu](operators/neural-network/nn.leaky\_relu.md) | :white\_check\_mark: | -| [Sigmoid](operators/neural-network/nn.sigmoid.md) | :white\_check\_mark: | -| [Softmax](operators/neural-network/nn.softmax.md) | :white\_check\_mark: | -| [LogSoftmax](operators/neural-network/nn.logsoftmax.md) | :white\_check\_mark: | -| [Softsign](operators/neural-network/nn.softsign.md) | :white\_check\_mark: | -| [Softplus](operators/neural-network/nn.softplus.md) | :white\_check\_mark: | -| [Linear](operators/neural-network/nn.linear.md) | :white\_check\_mark: | -| [Sinh](operators/tensor/tensor.sinh.md) | :white\_check\_mark: | - +| Operator | Implemented | +| :--------------------------------------------------------: | :----------------: | +| [MatMul](operators/tensor/tensor.matmul.md) | :white_check_mark: | +| [MatMulInteger](operators/tensor/tensor.matmul.md) | :white_check_mark: | +| [Add](operators/tensor/#arithmetic-operations) | :white_check_mark: | +| [Sub](operators/tensor/#arithmetic-operations) | :white_check_mark: | +| [Mul](operators/tensor/#arithmetic-operations) | :white_check_mark: | +| [Div](operators/tensor/#arithmetic-operations) | :white_check_mark: | +| [Equal](operators/tensor/tensor.eq.md) | :white_check_mark: | +| [Greater](operators/tensor/tensor.greater.md) | :white_check_mark: | +| [GreaterOrEqual](operators/tensor/tensor.greater_equal.md) | :white_check_mark: | +| [Less](operators/tensor/tensor.less.md) | :white_check_mark: | +| [LessOrEqual](operators/tensor/tensor.less_equal.md) | :white_check_mark: | +| [Abs](operators/tensor/tensor.abs.md) | :white_check_mark: | +| [Ceil](operators/tensor/tensor.ceil.md) | :white_check_mark: | +| [Exp](operators/tensor/tensor.exp.md) | :white_check_mark: | +| [Ln](operators/tensor/tensor.ln.md) | :white_check_mark: | +| [Reshape](operators/tensor/tensor.reshape.md) | :white_check_mark: | +| [Transpose](operators/tensor/tensor.transpose.md) | :white_check_mark: | +| [ArgMax](operators/tensor/tensor.argmax.md) | :white_check_mark: | +| [ArgMin](operators/tensor/tensor.argmin.md) | :white_check_mark: | +| [ReduceSum](operators/tensor/tensor.reduce_sum.md) | :white_check_mark: | +| [CumSum](operators/tensor/tensor.cumsum.md) | :white_check_mark: | +| [Relu](operators/neural-network/nn.relu.md) | :white_check_mark: | +| [LeakyRelu](operators/neural-network/nn.leaky_relu.md) | :white_check_mark: | +| [Sigmoid](operators/neural-network/nn.sigmoid.md) | :white_check_mark: | +| [Softmax](operators/neural-network/nn.softmax.md) | :white_check_mark: | +| [LogSoftmax](operators/neural-network/nn.logsoftmax.md) | :white_check_mark: | +| [Softsign](operators/neural-network/nn.softsign.md) | :white_check_mark: | +| [Softplus](operators/neural-network/nn.softplus.md) | :white_check_mark: | +| [Linear](operators/neural-network/nn.linear.md) | :white_check_mark: | +| [Sinh](operators/tensor/tensor.sinh.md) | :white_check_mark: | +| [Tanh](operators/tensor/tensor.tanh.md) | :white_check_mark: | Performance optimizations: -| Optimization | Implemented | -| :----------------: | :------------------: | -| 8-bit quantization | :white\_check\_mark: | +| Optimization | Implemented | +| :----------------: | :----------------: | +| 8-bit quantization | :white_check_mark: | -Current Operators support: **28/156 (18%)** \ No newline at end of file +Current Operators support: **29/156 (19%)** diff --git a/docs/apis/numbers/fixed-point/fp.sinh.md b/docs/apis/numbers/fixed-point/fp.sinh.md index 2437bdd10..80f4b7f5d 100644 --- a/docs/apis/numbers/fixed-point/fp.sinh.md +++ b/docs/apis/numbers/fixed-point/fp.sinh.md @@ -8,7 +8,7 @@ Returns the value of the hyperbolic sine of the fixed point number. ## Args -- `self`(`FixedType`) - The input fixed point +* `self`(`FixedType`) - The input fixed point ## Returns @@ -24,5 +24,5 @@ let fp = FixedTrait::from_unscaled_felt(2); // We can call `sinh` function as follows. fp.sinh() } ->>> {mag: 30424303, sign: false} // = 3.6268604 +>>> {mag: 30424311, sign: false} // = 3.6268604 ``` diff --git a/docs/apis/numbers/fixed-point/fp.tanh.md b/docs/apis/numbers/fixed-point/fp.tanh.md new file mode 100644 index 000000000..59a2bec1d --- /dev/null +++ b/docs/apis/numbers/fixed-point/fp.tanh.md @@ -0,0 +1,28 @@ +# fp.tanh + +```rust +fn tanh(self: FixedType) -> FixedType; +``` + +Returns the value of the hyperbolic tangent of the fixed point number. + +## Args + +* `self`(`FixedType`) - The input fixed point + +## Returns + +The hyperbolic tangent of the input fixed point number. + +## Examples + +```rust +fn tanh_fp_example() -> FixedType { +// We instantiate fixed point here. +let fp = FixedTrait::from_unscaled_felt(2); + +// We can call `tanh` function as follows. +fp.tanh() +} +>>> {mag: 8086850, sign: false} // = 0.964027... +``` diff --git a/docs/apis/operators/tensor/tensor.sinh.md b/docs/apis/operators/tensor/tensor.sinh.md index 575472f97..bb95366fe 100644 --- a/docs/apis/operators/tensor/tensor.sinh.md +++ b/docs/apis/operators/tensor/tensor.sinh.md @@ -5,14 +5,13 @@ fn sinh(self: @Tensor) -> Tensor; ``` Computes the exponential of all elements of the input tensor. - $$ y_i=sinh({x_i}) $$ ## Args -- `self`(`@Tensor`) - The input tensor. +* `self`(`@Tensor`) - The input tensor. ## Returns @@ -29,7 +28,7 @@ let tensor = u32_tensor_2x2_helper(); // We can call `sinh` function as follows. return tensor.sinh(); } ->>> [[0,9858303],[30424303,84036026]] +>>> [[0,9858303],[30424311,84036026]] // The fixed point representation of // [[0, 1.175201],[3.62686, 10.0178749]] ``` diff --git a/docs/apis/operators/tensor/tensor.tanh.md b/docs/apis/operators/tensor/tensor.tanh.md new file mode 100644 index 000000000..dafce66f1 --- /dev/null +++ b/docs/apis/operators/tensor/tensor.tanh.md @@ -0,0 +1,34 @@ +# tensor.tanh + +```rust +fn tanh(self: @Tensor) -> Tensor; +``` + +Computes the exponential of all elements of the input tensor. +$$ +y_i=tanh({x_i}) +$$ + +## Args + +* `self`(`@Tensor`) - The input tensor. + +## Returns + +Returns a new tensor in `FixedType` with the exponential of the elements of the input tensor. + +## Examples + +```rust +fn tanh_example() -> Tensor { +// We instantiate a 2D Tensor here. +// [[0,1],[2,3]] +let tensor = u32_tensor_2x2_helper(); + +// We can call `tanh` function as follows. +return tensor.tanh(); +} +>>> [[0,6388715],[8086850,8347125]] +// The fixed point representation of +// [[0, 0.761594],[0.96403, 0.9951]] +``` diff --git a/src/numbers/fixed_point/core.cairo b/src/numbers/fixed_point/core.cairo index 0fd88c80b..1c2e38edb 100644 --- a/src/numbers/fixed_point/core.cairo +++ b/src/numbers/fixed_point/core.cairo @@ -511,4 +511,34 @@ trait FixedTrait { /// ``` /// fn sinh(self: FixedType) -> FixedType; + /// # fp.tanh + /// + /// ```rust + /// fn tanh(self: FixedType) -> FixedType; + /// ``` + /// + /// Returns the value of the hyperbolic tangent of the fixed point number. + /// + /// ## Args + /// + /// * `self`(`FixedType`) - The input fixed point + /// + /// ## Returns + /// + /// The hyperbolic tangent of the input fixed point number. + /// + /// ## Examples + /// + /// ```rust + /// fn tanh_fp_example() -> FixedType { + /// // We instantiate fixed point here. + /// let fp = FixedTrait::from_unscaled_felt(2); + /// + /// // We can call `tanh` function as follows. + /// fp.tanh() + /// } + /// >>> {mag: 8086850, sign: false} // = 0.964027... + /// ``` + /// + fn tanh(self: FixedType) -> FixedType; } diff --git a/src/numbers/fixed_point/implementations/impl_16x16.cairo b/src/numbers/fixed_point/implementations/impl_16x16.cairo index d5d6efaca..36a261f87 100644 --- a/src/numbers/fixed_point/implementations/impl_16x16.cairo +++ b/src/numbers/fixed_point/implementations/impl_16x16.cairo @@ -85,6 +85,10 @@ impl FP16x16Impl of FixedTrait { fn sinh(self: FixedType) -> FixedType { return math_16x16::sinh(self); } + + fn tanh(self: FixedType) -> FixedType { + return math_16x16::tanh(self); + } } impl FP16x16Print of PrintTrait { diff --git a/src/numbers/fixed_point/implementations/impl_8x23.cairo b/src/numbers/fixed_point/implementations/impl_8x23.cairo index 16869e291..34c7435ba 100644 --- a/src/numbers/fixed_point/implementations/impl_8x23.cairo +++ b/src/numbers/fixed_point/implementations/impl_8x23.cairo @@ -85,6 +85,10 @@ impl FP8x23Impl of FixedTrait { fn sinh(self: FixedType) -> FixedType { return math_8x23::sinh(self); } + + fn tanh(self: FixedType) -> FixedType { + return math_8x23::tanh(self); + } } impl FP8x23Print of PrintTrait { diff --git a/src/numbers/fixed_point/math/math_16x16.cairo b/src/numbers/fixed_point/math/math_16x16.cairo index bd8ee85d6..bc17a4dec 100644 --- a/src/numbers/fixed_point/math/math_16x16.cairo +++ b/src/numbers/fixed_point/math/math_16x16.cairo @@ -461,3 +461,11 @@ fn sinh(a: FixedType) -> FixedType { let denom = FixedTrait::new_unscaled(2_u128, false); num / denom } + +/// Cf: FixedTrait::tanh docstring +fn tanh(a: FixedType) -> FixedType { + let ea = a.exp(); + let num = ea - (FixedTrait::new(ONE, false) / ea); + let denom = ea + (FixedTrait::new(ONE, false) / ea); + num / denom +} diff --git a/src/numbers/fixed_point/math/math_8x23.cairo b/src/numbers/fixed_point/math/math_8x23.cairo index 8a4616840..973eff15b 100644 --- a/src/numbers/fixed_point/math/math_8x23.cairo +++ b/src/numbers/fixed_point/math/math_8x23.cairo @@ -463,3 +463,11 @@ fn sinh(a: FixedType) -> FixedType { let denom = FixedTrait::new_unscaled(2_u128, false); num / denom } + +/// Cf: FixedTrait::tanh docstring +fn tanh(a: FixedType) -> FixedType { + let ea = a.exp(); + let num = ea - (FixedTrait::new(ONE, false) / ea); + let denom = ea + (FixedTrait::new(ONE, false) / ea); + num / denom +} diff --git a/src/operators/tensor/core.cairo b/src/operators/tensor/core.cairo index 5bbd25a3a..223c05028 100644 --- a/src/operators/tensor/core.cairo +++ b/src/operators/tensor/core.cairo @@ -1221,6 +1221,42 @@ trait TensorTrait { /// ``` /// fn sinh(self: @Tensor) -> Tensor; + /// # tensor.tanh + /// + /// ```rust + /// fn tanh(self: @Tensor) -> Tensor; + /// ``` + /// + /// Computes the exponential of all elements of the input tensor. + /// $$ + /// y_i=tanh({x_i}) + /// $$ + /// + /// ## Args + /// + /// * `self`(`@Tensor`) - The input tensor. + /// + /// ## Returns + /// + /// Returns a new tensor in `FixedType` with the exponential of the elements of the input tensor. + /// + /// ## Examples + /// + /// ```rust + /// fn tanh_example() -> Tensor { + /// // We instantiate a 2D Tensor here. + /// // [[0,1],[2,3]] + /// let tensor = u32_tensor_2x2_helper(); + /// + /// // We can call `tanh` function as follows. + /// return tensor.tanh(); + /// } + /// >>> [[0,6388715],[8086850,8347125]] + /// // The fixed point representation of + /// // [[0, 0.761594],[0.96403, 0.9951]] + /// ``` + /// + fn tanh(self: @Tensor) -> Tensor; } /// Cf: TensorTrait::new docstring diff --git a/src/operators/tensor/implementations/impl_tensor_fp.cairo b/src/operators/tensor/implementations/impl_tensor_fp.cairo index 07bc4bcb2..980a26fbd 100644 --- a/src/operators/tensor/implementations/impl_tensor_fp.cairo +++ b/src/operators/tensor/implementations/impl_tensor_fp.cairo @@ -29,6 +29,7 @@ use orion::operators::tensor::math::greater::greater_fp::core::greater; use orion::operators::tensor::math::greater_equal::greater_equal_fp::core::greater_equal; use orion::operators::tensor::math::cumsum::cumsum_fp::core::cumsum; use orion::operators::tensor::math::sinh::sinh_fp::core::sinh; +use orion::operators::tensor::math::tanh::tanh_fp::core::tanh; use orion::utils::check_gas; @@ -130,6 +131,10 @@ impl Tensor_fp of TensorTrait { fn sinh(self: @Tensor) -> Tensor { sinh(self).unwrap() } + + fn tanh(self: @Tensor) -> Tensor { + tanh(self).unwrap() + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/implementations/impl_tensor_i32.cairo b/src/operators/tensor/implementations/impl_tensor_i32.cairo index feee98048..e310d1b38 100644 --- a/src/operators/tensor/implementations/impl_tensor_i32.cairo +++ b/src/operators/tensor/implementations/impl_tensor_i32.cairo @@ -30,6 +30,7 @@ use orion::operators::tensor::math::ln::ln_i32::core::ln_i32; use orion::operators::tensor::math::arithmetic::arithmetic_i32::{add, sub, mul, div}; use orion::operators::tensor::math::cumsum::cumsum_i32::cumsum; use orion::operators::tensor::math::sinh::sinh_i32::core::sinh_i32; +use orion::operators::tensor::math::tanh::tanh_i32::core::tanh_i32; use orion::utils::check_gas; impl Tensor_i32 of TensorTrait { @@ -128,6 +129,10 @@ impl Tensor_i32 of TensorTrait { fn sinh(self: @Tensor) -> Tensor { sinh_i32(self).unwrap() } + + fn tanh(self: @Tensor) -> Tensor { + tanh_i32(self).unwrap() + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/implementations/impl_tensor_u32.cairo b/src/operators/tensor/implementations/impl_tensor_u32.cairo index b397d9637..77290f79b 100644 --- a/src/operators/tensor/implementations/impl_tensor_u32.cairo +++ b/src/operators/tensor/implementations/impl_tensor_u32.cairo @@ -29,6 +29,7 @@ use orion::operators::tensor::math::ln::ln_u32::core::ln_u32; use orion::operators::tensor::math::arithmetic::arithmetic_u32::{add, sub, mul, div}; use orion::operators::tensor::math::cumsum::cumsum_u32::cumsum; use orion::operators::tensor::math::sinh::sinh_u32::core::sinh_u32; +use orion::operators::tensor::math::tanh::tanh_u32::core::tanh_u32; use orion::utils::check_gas; impl Tensor_u32 of TensorTrait { @@ -124,9 +125,14 @@ impl Tensor_u32 of TensorTrait { fn cumsum(self: @Tensor, axis: usize, exclusive:Option, reverse:Option) -> Tensor { cumsum(self, axis, exclusive, reverse) } + fn sinh(self: @Tensor) -> Tensor { sinh_u32(self).unwrap() } + + fn tanh(self: @Tensor) -> Tensor { + tanh_u32(self).unwrap() + } } /// Implements addition for `Tensor` using the `Add` trait. diff --git a/src/operators/tensor/math.cairo b/src/operators/tensor/math.cairo index 1cd55664f..d70bba5ba 100644 --- a/src/operators/tensor/math.cairo +++ b/src/operators/tensor/math.cairo @@ -15,3 +15,4 @@ mod abs; mod ceil; mod cumsum; mod sinh; +mod tanh; diff --git a/src/operators/tensor/math/tanh.cairo b/src/operators/tensor/math/tanh.cairo new file mode 100644 index 000000000..b845d9274 --- /dev/null +++ b/src/operators/tensor/math/tanh.cairo @@ -0,0 +1,3 @@ +mod tanh_i32; +mod tanh_u32; +mod tanh_fp; diff --git a/src/operators/tensor/math/tanh/tanh_fp.cairo b/src/operators/tensor/math/tanh/tanh_fp.cairo new file mode 100644 index 000000000..1a2b31adf --- /dev/null +++ b/src/operators/tensor/math/tanh/tanh_fp.cairo @@ -0,0 +1,3 @@ +mod core; +mod fp8x23; +mod fp16x16; \ No newline at end of file diff --git a/src/operators/tensor/math/tanh/tanh_fp/core.cairo b/src/operators/tensor/math/tanh/tanh_fp/core.cairo new file mode 100644 index 000000000..45f5a1993 --- /dev/null +++ b/src/operators/tensor/math/tanh/tanh_fp/core.cairo @@ -0,0 +1,18 @@ +use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; +use orion::operators::tensor::core::{Tensor}; +use orion::operators::tensor::math::tanh::tanh_fp::fp8x23; +use orion::operators::tensor::math::tanh::tanh_fp::fp16x16; + +/// Cf: TensorTrait::tanh docstring +fn tanh(self: @Tensor) -> Option> { + match *self.extra { + Option::Some(extra_params) => match extra_params.fixed_point { + Option::Some(fixed_point) => match fixed_point { + FixedImpl::FP8x23(()) => Option::Some(fp8x23::tanh(self)), + FixedImpl::FP16x16(()) => Option::Some(fp16x16::tanh(self)), + }, + Option::None(_) => Option::Some(fp16x16::tanh(self)), + }, + Option::None(_) => Option::Some(fp16x16::tanh(self)), + } +} diff --git a/src/operators/tensor/math/tanh/tanh_fp/fp16x16.cairo b/src/operators/tensor/math/tanh/tanh_fp/fp16x16.cairo new file mode 100644 index 000000000..3a8b8ff8c --- /dev/null +++ b/src/operators/tensor/math/tanh/tanh_fp/fp16x16.cairo @@ -0,0 +1,28 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::tanh docstring +fn tanh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + result.append(FixedTrait::tanh(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/tanh/tanh_fp/fp8x23.cairo b/src/operators/tensor/math/tanh/tanh_fp/fp8x23.cairo new file mode 100644 index 000000000..fecb8cca8 --- /dev/null +++ b/src/operators/tensor/math/tanh/tanh_fp/fp8x23.cairo @@ -0,0 +1,28 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::tanh docstring +fn tanh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + result.append(FixedTrait::tanh(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/tanh/tanh_i32.cairo b/src/operators/tensor/math/tanh/tanh_i32.cairo new file mode 100644 index 000000000..1a2b31adf --- /dev/null +++ b/src/operators/tensor/math/tanh/tanh_i32.cairo @@ -0,0 +1,3 @@ +mod core; +mod fp8x23; +mod fp16x16; \ No newline at end of file diff --git a/src/operators/tensor/math/tanh/tanh_i32/core.cairo b/src/operators/tensor/math/tanh/tanh_i32/core.cairo new file mode 100644 index 000000000..271bbbd7b --- /dev/null +++ b/src/operators/tensor/math/tanh/tanh_i32/core.cairo @@ -0,0 +1,19 @@ +use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; +use orion::operators::tensor::core::{Tensor}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::math::tanh::tanh_i32::fp8x23; +use orion::operators::tensor::math::tanh::tanh_i32::fp16x16; + +/// Cf: TensorTrait::tanh docstring +fn tanh_i32(self: @Tensor) -> Option> { + match *self.extra { + Option::Some(extra_params) => match extra_params.fixed_point { + Option::Some(fixed_point) => match fixed_point { + FixedImpl::FP8x23(()) => Option::Some(fp8x23::tanh(self)), + FixedImpl::FP16x16(()) => Option::Some(fp16x16::tanh(self)), + }, + Option::None(_) => Option::Some(fp16x16::tanh(self)), + }, + Option::None(_) => Option::Some(fp16x16::tanh(self)), + } +} diff --git a/src/operators/tensor/math/tanh/tanh_i32/fp16x16.cairo b/src/operators/tensor/math/tanh/tanh_i32/fp16x16.cairo new file mode 100644 index 000000000..5dae7dd89 --- /dev/null +++ b/src/operators/tensor/math/tanh/tanh_i32/fp16x16.cairo @@ -0,0 +1,37 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::tanh docstring +fn tanh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + + if ele.sign == true { + let ele = FixedTrait::new_unscaled(ele.mag.into(), ele.sign); + result.append(FixedTrait::tanh(ele)) + } else { + let ele = FixedTrait::new_unscaled(ele.mag.into(), ele.sign); + result.append(FixedTrait::tanh(ele)) + } + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/tanh/tanh_i32/fp8x23.cairo b/src/operators/tensor/math/tanh/tanh_i32/fp8x23.cairo new file mode 100644 index 000000000..36cab9163 --- /dev/null +++ b/src/operators/tensor/math/tanh/tanh_i32/fp8x23.cairo @@ -0,0 +1,37 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::tanh docstring +fn tanh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = *data.pop_front().unwrap(); + + if ele.sign == true { + let ele = FixedTrait::new_unscaled(ele.mag.into(), ele.sign); + result.append(FixedTrait::tanh(ele)) + } else { + let ele = FixedTrait::new_unscaled(ele.mag.into(), ele.sign); + result.append(FixedTrait::tanh(ele)) + } + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/tanh/tanh_u32.cairo b/src/operators/tensor/math/tanh/tanh_u32.cairo new file mode 100644 index 000000000..1a2b31adf --- /dev/null +++ b/src/operators/tensor/math/tanh/tanh_u32.cairo @@ -0,0 +1,3 @@ +mod core; +mod fp8x23; +mod fp16x16; \ No newline at end of file diff --git a/src/operators/tensor/math/tanh/tanh_u32/core.cairo b/src/operators/tensor/math/tanh/tanh_u32/core.cairo new file mode 100644 index 000000000..dc5e39c0c --- /dev/null +++ b/src/operators/tensor/math/tanh/tanh_u32/core.cairo @@ -0,0 +1,19 @@ +use orion::numbers::fixed_point::core::{FixedType, FixedImpl}; +use orion::operators::tensor::core::{Tensor}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::math::tanh::tanh_u32::fp8x23; +use orion::operators::tensor::math::tanh::tanh_u32::fp16x16; + +/// Cf: TensorTrait::tanh docstring +fn tanh_u32(self: @Tensor) -> Option> { + match *self.extra { + Option::Some(extra_params) => match extra_params.fixed_point { + Option::Some(fixed_point) => match fixed_point { + FixedImpl::FP8x23(()) => Option::Some(fp8x23::tanh(self)), + FixedImpl::FP16x16(()) => Option::Some(fp16x16::tanh(self)), + }, + Option::None(_) => Option::Some(fp16x16::tanh(self)), + }, + Option::None(_) => Option::Some(fp16x16::tanh(self)), + } +} diff --git a/src/operators/tensor/math/tanh/tanh_u32/fp16x16.cairo b/src/operators/tensor/math/tanh/tanh_u32/fp16x16.cairo new file mode 100644 index 000000000..b4c46a411 --- /dev/null +++ b/src/operators/tensor/math/tanh/tanh_u32/fp16x16.cairo @@ -0,0 +1,31 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::tanh docstring +fn tanh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = FixedTrait::from_unscaled_felt((*data.pop_front().unwrap()).into()); + + result.append(FixedTrait::tanh(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/operators/tensor/math/tanh/tanh_u32/fp8x23.cairo b/src/operators/tensor/math/tanh/tanh_u32/fp8x23.cairo new file mode 100644 index 000000000..c68837dab --- /dev/null +++ b/src/operators/tensor/math/tanh/tanh_u32/fp8x23.cairo @@ -0,0 +1,31 @@ +use array::ArrayTrait; +use array::SpanTrait; +use option::OptionTrait; +use traits::Into; + +use orion::numbers::fixed_point::core::{FixedTrait, FixedType}; +use orion::operators::tensor::core::{Tensor, TensorTrait}; +use orion::numbers::signed_integer::i32::i32; +use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; +use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; +use orion::utils::check_gas; + +/// Cf: TensorTrait::tanh docstring +fn tanh(self: @Tensor) -> Tensor { + let mut result = ArrayTrait::new(); + let mut data = *self.data; + + loop { + check_gas(); + + let ele = FixedTrait::from_unscaled_felt((*data.pop_front().unwrap()).into()); + + result.append(FixedTrait::tanh(ele)); + + if (data.len() == 0) { + break (); + }; + }; + + return TensorTrait::::new(*self.shape, result.span(), *self.extra); +} diff --git a/src/tests/numbers/fixed_point/fp16x16_test.cairo b/src/tests/numbers/fixed_point/fp16x16_test.cairo index 1bfcd3d46..12f77e985 100644 --- a/src/tests/numbers/fixed_point/fp16x16_test.cairo +++ b/src/tests/numbers/fixed_point/fp16x16_test.cairo @@ -330,3 +330,10 @@ fn test_sinh() { let a = FixedTrait::from_unscaled_felt(1); assert(a.sinh().into() == 77016, 'invalid sinh of 1'); } + +#[test] +#[available_gas(10000000)] +fn test_tanh() { + let a = FixedTrait::from_unscaled_felt(1); + assert(a.tanh().into() == 49911, 'invalid tanh of 1'); +} \ No newline at end of file diff --git a/src/tests/numbers/fixed_point/fp8x23_test.cairo b/src/tests/numbers/fixed_point/fp8x23_test.cairo index bfd26c81a..b318d412b 100644 --- a/src/tests/numbers/fixed_point/fp8x23_test.cairo +++ b/src/tests/numbers/fixed_point/fp8x23_test.cairo @@ -329,4 +329,11 @@ fn test_gt() { fn test_sinh() { let a = FixedTrait::from_unscaled_felt(1); assert(a.sinh().into() == 9858301, 'invalid sinh of 1'); +} + +#[test] +#[available_gas(10000000)] +fn test_tanh() { + let a = FixedTrait::from_unscaled_felt(1); + assert(a.tanh().into() == 6388714, 'invalid tanh of 1'); } \ No newline at end of file diff --git a/src/tests/operators/tensor/math.cairo b/src/tests/operators/tensor/math.cairo index 74a629cde..922bd5344 100644 --- a/src/tests/operators/tensor/math.cairo +++ b/src/tests/operators/tensor/math.cairo @@ -15,3 +15,4 @@ mod ln; mod arithmetic; mod cumsum; mod sinh; +mod tanh; diff --git a/src/tests/operators/tensor/math/tanh.cairo b/src/tests/operators/tensor/math/tanh.cairo new file mode 100644 index 000000000..af6442507 --- /dev/null +++ b/src/tests/operators/tensor/math/tanh.cairo @@ -0,0 +1,3 @@ +mod tanh_u32_test; +mod tanh_i32_test; +mod tanh_fp_test; \ No newline at end of file diff --git a/src/tests/operators/tensor/math/tanh/tanh_fp_test.cairo b/src/tests/operators/tensor/math/tanh/tanh_fp_test.cairo new file mode 100644 index 000000000..9ec10333f --- /dev/null +++ b/src/tests/operators/tensor/math/tanh/tanh_fp_test.cairo @@ -0,0 +1,2 @@ +mod tanh_fp8x23_test; +mod tanh_fp16x16_test; \ No newline at end of file diff --git a/src/tests/operators/tensor/math/tanh/tanh_fp_test/tanh_fp16x16_test.cairo b/src/tests/operators/tensor/math/tanh/tanh_fp_test/tanh_fp16x16_test.cairo new file mode 100644 index 000000000..e5cc62c8a --- /dev/null +++ b/src/tests/operators/tensor/math/tanh/tanh_fp_test/tanh_fp16x16_test.cairo @@ -0,0 +1,96 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_tanh_test() { + let tensor = fp_tensor_1x3_helper(); + let result = tensor.tanh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 49911, 'result[1] = 0.761594...'); + assert((*result.at(2).mag).into() == 63178, 'result[2] = 0.964028...'); + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_tanh_test() { + let tensor = fp_tensor_2x2_helper(); + let result = tensor.tanh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 49911, 'result[1] = 0.761594...'); + assert((*result.at(2).mag).into() == 63178, 'result[2] = 0.964028...'); + assert((*result.at(3).mag).into() == 65211, 'result[3] = 0.99505...'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp16x16::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_16x16::FP16x16Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_tanh_test() { + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.tanh().data; + + // let a0 = *result.at(0).mag.into(); + // a0.print(); + // let a1 = *result.at(1).mag.into(); + // a1.print(); + // let a2 = *result.at(2).mag.into(); + // a2.print(); + // let a3 = *result.at(3).mag.into(); + // a3.print(); + // let a4 = *result.at(4).mag.into(); + // a4.print(); + // let a5 = *result.at(5).mag.into(); + // a5.print(); + // let a6 = *result.at(6).mag.into(); + // a6.print(); + // let a7 = *result.at(7).mag.into(); + // a7.print(); + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 49911, 'result[1] = 0.761594...'); + assert((*result.at(2).mag).into() == 63178, 'result[2] = 0.964028...'); + assert((*result.at(3).mag).into() == 65211, 'result[3] = 0.99505...'); + assert((*result.at(4).mag).into() == 65492, 'result[4] = 0.99933...'); + assert((*result.at(5).mag).into() == 65530, 'result[5] = 0.99991...'); + assert((*result.at(6).mag).into() == 65535, 'result[6] = 0.99999...'); + assert((*result.at(7).mag).into() == 65535, 'result[7] = 0.99999...'); + } +} + diff --git a/src/tests/operators/tensor/math/tanh/tanh_fp_test/tanh_fp8x23_test.cairo b/src/tests/operators/tensor/math/tanh/tanh_fp_test/tanh_fp8x23_test.cairo new file mode 100644 index 000000000..cd5454742 --- /dev/null +++ b/src/tests/operators/tensor/math/tanh/tanh_fp_test/tanh_fp8x23_test.cairo @@ -0,0 +1,81 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_1x3_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_tanh_test() { + let tensor = fp_tensor_1x3_helper(); + let result = tensor.tanh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 6388714, 'result[1] = 0.761594...'); + assert((*result.at(2).mag).into() == 8086849, 'result[2] = 0.964028...'); + + } +} + +// ===== 2D ===== // + +#[cfg(test)] +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_tanh_test() { + let tensor = fp_tensor_2x2_helper(); + let result = tensor.tanh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 6388714, 'result[1] = 0.761594...'); + assert((*result.at(2).mag).into() == 8086849, 'result[2] = 0.964028...'); + assert((*result.at(3).mag).into() == 8347124, 'result[3] = 0.99505...'); + } +} + +// ===== 3D ===== // + +#[cfg(test)] +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use debug::PrintTrait; + + + use orion::operators::tensor::implementations::impl_tensor_fp::Tensor_fp; + use orion::operators::tensor::core::{TensorTrait, }; + use orion::tests::helpers::tensor::fixed_point::fp8x23::fp_tensor_2x2x2_helper; + use orion::numbers::fixed_point::implementations::impl_8x23::FP8x23Impl; + + #[test] + #[available_gas(20000000)] + fn tensor_tanh_test() { + let tensor = fp_tensor_2x2x2_helper(); + let result = tensor.tanh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 6388714, 'result[1] = 0.761594...'); + assert((*result.at(2).mag).into() == 8086849, 'result[2] = 0.964028...'); + assert((*result.at(3).mag).into() == 8347124, 'result[3] = 0.99505...'); + assert((*result.at(4).mag).into() == 8382981, 'result[4] = 0.99933...'); + assert((*result.at(5).mag).into() == 8387846, 'result[5] = 0.99991...'); + assert((*result.at(6).mag).into() == 8388504, 'result[6] = 0.99999...'); + assert((*result.at(7).mag).into() == 8388594, 'result[7] = 0.99999...'); + } +} + diff --git a/src/tests/operators/tensor/math/tanh/tanh_i32_test.cairo b/src/tests/operators/tensor/math/tanh/tanh_i32_test.cairo new file mode 100644 index 000000000..d16466b52 --- /dev/null +++ b/src/tests/operators/tensor/math/tanh/tanh_i32_test.cairo @@ -0,0 +1,113 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_tanh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.tanh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 49911, 'result[1] = 0.761594...'); + assert((*result.at(2).mag).into() == 63178, 'result[2] = 0.964028...'); + assert((*result.at(3).mag).into() == 65211, 'result[3] = 0.99505...'); + } +} + +// ===== 2D ===== // + +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_tanh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.tanh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 49911, 'result[1] = 0.761594...'); + assert((*result.at(2).mag).into() == 63178, 'result[2] = 0.964028...'); + assert((*result.at(3).mag).into() == 65211, 'result[3] = 0.99505...'); + } +} +// // ===== 3D ===== // + +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_i32::Tensor_i32; + use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32}; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_tanh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(IntegerTrait::new(0, false)); + data.append(IntegerTrait::new(1, false)); + data.append(IntegerTrait::new(2, false)); + data.append(IntegerTrait::new(3, false)); + data.append(IntegerTrait::new(4, false)); + data.append(IntegerTrait::new(5, false)); + data.append(IntegerTrait::new(6, false)); + data.append(IntegerTrait::new(7, false)); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.tanh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 49911, 'result[1] = 0.761594...'); + assert((*result.at(2).mag).into() == 63178, 'result[2] = 0.964028...'); + assert((*result.at(3).mag).into() == 65211, 'result[3] = 0.99505...'); + assert((*result.at(4).mag).into() == 65492, 'result[4] = 0.99933...'); + assert((*result.at(5).mag).into() == 65530, 'result[5] = 0.99991...'); + assert((*result.at(6).mag).into() == 65535, 'result[6] = 0.99999...'); + assert((*result.at(7).mag).into() == 65535, 'result[7] = 0.99999...'); + } +} + diff --git a/src/tests/operators/tensor/math/tanh/tanh_u32_test.cairo b/src/tests/operators/tensor/math/tanh/tanh_u32_test.cairo new file mode 100644 index 000000000..4053d99e8 --- /dev/null +++ b/src/tests/operators/tensor/math/tanh/tanh_u32_test.cairo @@ -0,0 +1,110 @@ +// ===== 1D ===== // + +#[cfg(test)] +mod tensor_1D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_tanh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(4); + + let mut data = ArrayTrait::new(); + data.append(0); + data.append(1); + data.append(2); + data.append(3); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.tanh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 49911, 'result[1] = 0.761594...'); + assert((*result.at(2).mag).into() == 63178, 'result[2] = 0.964028...'); + assert((*result.at(3).mag).into() == 65211, 'result[3] = 0.99505...'); + } +} + +// ===== 2D ===== // + +mod tensor_2D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_tanh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(0); + data.append(1); + data.append(2); + data.append(3); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.tanh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 49911, 'result[1] = 0.761594...'); + assert((*result.at(2).mag).into() == 63178, 'result[2] = 0.964028...'); + assert((*result.at(3).mag).into() == 65211, 'result[3] = 0.99505...'); + } +} +// // ===== 3D ===== // + +mod tensor_3D { + use array::SpanTrait; + use traits::Into; + use array::ArrayTrait; + + use orion::operators::tensor::implementations::impl_tensor_u32::Tensor_u32; + use orion::operators::tensor::core::{TensorTrait, Tensor, ExtraParams}; + + #[test] + #[available_gas(20000000)] + fn tensor_tanh_test() { + let mut sizes = ArrayTrait::new(); + sizes.append(2); + sizes.append(2); + sizes.append(2); + + let mut data = ArrayTrait::new(); + data.append(0); + data.append(1); + data.append(2); + data.append(3); + data.append(4); + data.append(5); + data.append(6); + data.append(7); + let extra = Option::::None(()); + let tensor = TensorTrait::::new(sizes.span(), data.span(), extra); + + let result = tensor.tanh().data; + + assert((*result.at(0).mag).into() == 0, 'result[0] = 0'); + assert((*result.at(1).mag).into() == 49911, 'result[1] = 0.761594...'); + assert((*result.at(2).mag).into() == 63178, 'result[2] = 0.964028...'); + assert((*result.at(3).mag).into() == 65211, 'result[3] = 0.99505...'); + assert((*result.at(4).mag).into() == 65492, 'result[4] = 0.99933...'); + assert((*result.at(5).mag).into() == 65530, 'result[5] = 0.99991...'); + assert((*result.at(6).mag).into() == 65535, 'result[6] = 0.99999...'); + assert((*result.at(7).mag).into() == 65535, 'result[7] = 0.99999...'); + } +} + From d09c8c9297ef1058742ee6fef073323687b2e57d Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Thu, 29 Jun 2023 08:16:32 +0300 Subject: [PATCH 065/126] update doc --- docs/SUMMARY.md | 1 + docs/apis/compatibility.md | 75 +++++++++++++++++++------------------- 2 files changed, 39 insertions(+), 37 deletions(-) diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md index fa72c8f5f..12cc336b6 100644 --- a/docs/SUMMARY.md +++ b/docs/SUMMARY.md @@ -35,6 +35,7 @@ * [tensor.ceil](apis/operators/tensor/tensor.ceil.md) * [tensor.cumsum](apis/operators/tensor/tensor.cumsum.md) * [tensor.sinh](apis/operators/tensor/tensor.sinh.md) + * [tensor.cosh](apis/operators/tensor/tensor.cosh.md) * [Neural Network](apis/operators/neural-network/README.md) * [nn.relu](apis/operators/neural-network/nn.relu.md) * [nn.leaky\_relu](apis/operators/neural-network/nn.leaky\_relu.md) diff --git a/docs/apis/compatibility.md b/docs/apis/compatibility.md index ad2023954..fd22ff83e 100644 --- a/docs/apis/compatibility.md +++ b/docs/apis/compatibility.md @@ -4,44 +4,45 @@ To see the full list of available ONNX Operators refer to [this table](https://g You can see below the list of current supported ONNX Operators: -| Operator | Implemented | -| :--------------------------------------------------------: | :----------------: | -| [MatMul](operators/tensor/tensor.matmul.md) | :white_check_mark: | -| [MatMulInteger](operators/tensor/tensor.matmul.md) | :white_check_mark: | -| [Add](operators/tensor/#arithmetic-operations) | :white_check_mark: | -| [Sub](operators/tensor/#arithmetic-operations) | :white_check_mark: | -| [Mul](operators/tensor/#arithmetic-operations) | :white_check_mark: | -| [Div](operators/tensor/#arithmetic-operations) | :white_check_mark: | -| [Equal](operators/tensor/tensor.eq.md) | :white_check_mark: | -| [Greater](operators/tensor/tensor.greater.md) | :white_check_mark: | -| [GreaterOrEqual](operators/tensor/tensor.greater_equal.md) | :white_check_mark: | -| [Less](operators/tensor/tensor.less.md) | :white_check_mark: | -| [LessOrEqual](operators/tensor/tensor.less_equal.md) | :white_check_mark: | -| [Abs](operators/tensor/tensor.abs.md) | :white_check_mark: | -| [Ceil](operators/tensor/tensor.ceil.md) | :white_check_mark: | -| [Exp](operators/tensor/tensor.exp.md) | :white_check_mark: | -| [Ln](operators/tensor/tensor.ln.md) | :white_check_mark: | -| [Reshape](operators/tensor/tensor.reshape.md) | :white_check_mark: | -| [Transpose](operators/tensor/tensor.transpose.md) | :white_check_mark: | -| [ArgMax](operators/tensor/tensor.argmax.md) | :white_check_mark: | -| [ArgMin](operators/tensor/tensor.argmin.md) | :white_check_mark: | -| [ReduceSum](operators/tensor/tensor.reduce_sum.md) | :white_check_mark: | -| [CumSum](operators/tensor/tensor.cumsum.md) | :white_check_mark: | -| [Relu](operators/neural-network/nn.relu.md) | :white_check_mark: | -| [LeakyRelu](operators/neural-network/nn.leaky_relu.md) | :white_check_mark: | -| [Sigmoid](operators/neural-network/nn.sigmoid.md) | :white_check_mark: | -| [Softmax](operators/neural-network/nn.softmax.md) | :white_check_mark: | -| [LogSoftmax](operators/neural-network/nn.logsoftmax.md) | :white_check_mark: | -| [Softsign](operators/neural-network/nn.softsign.md) | :white_check_mark: | -| [Softplus](operators/neural-network/nn.softplus.md) | :white_check_mark: | -| [Linear](operators/neural-network/nn.linear.md) | :white_check_mark: | -| [Sinh](operators/tensor/tensor.sinh.md) | :white_check_mark: | -| [Cosh](operators/tensor/tensor.cosh.md) | :white_check_mark: | +| Operator | Implemented | +| :---------------------------------------------------------: | :------------------: | +| [MatMul](operators/tensor/tensor.matmul.md) | :white\_check\_mark: | +| [MatMulInteger](operators/tensor/tensor.matmul.md) | :white\_check\_mark: | +| [Add](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | +| [Sub](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | +| [Mul](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | +| [Div](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | +| [Equal](operators/tensor/tensor.eq.md) | :white\_check\_mark: | +| [Greater](operators/tensor/tensor.greater.md) | :white\_check\_mark: | +| [GreaterOrEqual](operators/tensor/tensor.greater\_equal.md) | :white\_check\_mark: | +| [Less](operators/tensor/tensor.less.md) | :white\_check\_mark: | +| [LessOrEqual](operators/tensor/tensor.less\_equal.md) | :white\_check\_mark: | +| [Abs](operators/tensor/tensor.abs.md) | :white\_check\_mark: | +| [Ceil](operators/tensor/tensor.ceil.md) | :white\_check\_mark: | +| [Exp](operators/tensor/tensor.exp.md) | :white\_check\_mark: | +| [Ln](operators/tensor/tensor.ln.md) | :white\_check\_mark: | +| [Reshape](operators/tensor/tensor.reshape.md) | :white\_check\_mark: | +| [Transpose](operators/tensor/tensor.transpose.md) | :white\_check\_mark: | +| [ArgMax](operators/tensor/tensor.argmax.md) | :white\_check\_mark: | +| [ArgMin](operators/tensor/tensor.argmin.md) | :white\_check\_mark: | +| [ReduceSum](operators/tensor/tensor.reduce\_sum.md) | :white\_check\_mark: | +| [CumSum](operators/tensor/tensor.cumsum.md) | :white\_check\_mark: | +| [Relu](operators/neural-network/nn.relu.md) | :white\_check\_mark: | +| [LeakyRelu](operators/neural-network/nn.leaky\_relu.md) | :white\_check\_mark: | +| [Sigmoid](operators/neural-network/nn.sigmoid.md) | :white\_check\_mark: | +| [Softmax](operators/neural-network/nn.softmax.md) | :white\_check\_mark: | +| [LogSoftmax](operators/neural-network/nn.logsoftmax.md) | :white\_check\_mark: | +| [Softsign](operators/neural-network/nn.softsign.md) | :white\_check\_mark: | +| [Softplus](operators/neural-network/nn.softplus.md) | :white\_check\_mark: | +| [Linear](operators/neural-network/nn.linear.md) | :white\_check\_mark: | +| [Sinh](operators/tensor/tensor.sinh.md) | :white\_check\_mark: | +| [Cosh](operators/tensor/tensor.cosh.md) | :white\_check\_mark: | + Performance optimizations: -| Optimization | Implemented | -| :----------------: | :----------------: | -| 8-bit quantization | :white_check_mark: | +| Optimization | Implemented | +| :----------------: | :------------------: | +| 8-bit quantization | :white\_check\_mark: | -Current Operators support: **29/156 (18%)** +Current Operators support: **28/156 (18%)** \ No newline at end of file From 04a84d0546ddef5de55106dffbe9d57dbb8439d8 Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Thu, 29 Jun 2023 08:20:57 +0300 Subject: [PATCH 066/126] update doc --- docs/SUMMARY.md | 141 +++++++++++++++++++------------------ docs/apis/compatibility.md | 75 ++++++++++---------- 2 files changed, 109 insertions(+), 107 deletions(-) diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md index aa261dae4..c39ebae72 100644 --- a/docs/SUMMARY.md +++ b/docs/SUMMARY.md @@ -2,82 +2,83 @@ ## 👋 Welcome -- [Orion](README.md) -- [Why Validity ML?](welcome/why-validity-ml.md) +* [Orion](README.md) +* [Why Validity ML?](welcome/why-validity-ml.md) ## 🧱 APIs -- [Get Started](apis/get-started.md) -- [Compatibility](apis/compatibility.md) -- [Operators](apis/operators/README.md) - - [Tensor](apis/operators/tensor/README.md) - - [tensor.new](apis/operators/tensor/tensor.new.md) - - [tensor.at](apis/operators/tensor/tensor.at.md) - - [tensor.min](apis/operators/tensor/tensor.min.md) - - [tensor.max](apis/operators/tensor/tensor.max.md) - - [tensor.stride](apis/operators/tensor/tensor.stride.md) - - [tensor.ravel_index](apis/operators/tensor/tensor.ravel_index.md) - - [tensor.unravel_index](apis/operators/tensor/tensor.unravel_index.md) - - [tensor.reshape](apis/operators/tensor/tensor.reshape.md) - - [tensor.transpose](apis/operators/tensor/tensor.transpose.md) - - [tensor.reduce_sum](apis/operators/tensor/tensor.reduce_sum.md) - - [tensor.argmax](apis/operators/tensor/tensor.argmax.md) - - [tensor.argmin](apis/operators/tensor/tensor.argmin.md) - - [tensor.matmul](apis/operators/tensor/tensor.matmul.md) - - [tensor.exp](apis/operators/tensor/tensor.exp.md) - - [tensor.ln](apis/operators/tensor/tensor.ln.md) - - [tensor.eq](apis/operators/tensor/tensor.eq.md) - - [tensor.greater](apis/operators/tensor/tensor.greater.md) - - [tensor.greater_equal](apis/operators/tensor/tensor.greater_equal.md) - - [tensor.less](apis/operators/tensor/tensor.less.md) - - [tensor.less_equal](apis/operators/tensor/tensor.less_equal.md) - - [tensor.abs](apis/operators/tensor/tensor.abs.md) - - [tensor.ceil](apis/operators/tensor/tensor.ceil.md) - - [tensor.cumsum](apis/operators/tensor/tensor.cumsum.md) - - [tensor.sinh](apis/operators/tensor/tensor.sinh.md) - - [tensor.tanh](apis/operators/tensor/tensor.tanh.md) - - [Neural Network](apis/operators/neural-network/README.md) - - [nn.relu](apis/operators/neural-network/nn.relu.md) - - [nn.leaky_relu](apis/operators/neural-network/nn.leaky_relu.md) - - [nn.sigmoid](apis/operators/neural-network/nn.sigmoid.md) - - [nn.softmax](apis/operators/neural-network/nn.softmax.md) - - [nn.logsoftmax](apis/operators/neural-network/nn.logsoftmax.md) - - [nn.softsign](apis/operators/neural-network/nn.softsign.md) - - [nn.softplus](apis/operators/neural-network/nn.softplus.md) - - [nn.linear](apis/operators/neural-network/nn.linear.md) -- [Numbers](apis/numbers/README.md) - - [Signed Integer](apis/numbers/signed-integer/README.md) - - [int.new](apis/numbers/signed-integer/int.new.md) - - [int.div_rem](apis/numbers/signed-integer/int.div_rem.md) - - [int.abs](apis/numbers/signed-integer/int.abs.md) - - [int.max](apis/numbers/signed-integer/int.max.md) - - [int.min](apis/numbers/signed-integer/int.min.md) - - [Fixed Point](apis/numbers/fixed-point/README.md) - - [fp.new](apis/numbers/fixed-point/fp.new.md) - - [fp.new_unscaled](apis/numbers/fixed-point/fp.new_unscaled.md) - - [fp.from_felt](apis/numbers/fixed-point/fp.from_felt.md) - - [fp.from_unscaled_felt](apis/numbers/fixed-point/fp.from_unscaled_felt.md) - - [fp.abs](apis/numbers/fixed-point/fp.abs.md) - - [fp.ceil](apis/numbers/fixed-point/fp.ceil.md) - - [fp.floor](apis/numbers/fixed-point/fp.floor.md) - - [fp.exp](apis/numbers/fixed-point/fp.exp.md) - - [fp.exp2](apis/numbers/fixed-point/fp.exp2.md) - - [fp.ln](apis/numbers/fixed-point/fp.ln.md) - - [fp.log2](apis/numbers/fixed-point/fp.log2.md) - - [fp.log10](apis/numbers/fixed-point/fp.log10.md) - - [fp.pow](apis/numbers/fixed-point/fp.pow.md) - - [fp.round](apis/numbers/fixed-point/fp.round.md) - - [fp.sqrt](apis/numbers/fixed-point/fp.sqrt.md) -- [Performance](apis/performance/README.md) - - [performance.quantize_linear](apis/performance/performance.quantize_linear.md) - - [performance.quantize_linear_from_fp](apis/performance/performance.quantize_linear_from_fp.md) +* [Get Started](apis/get-started.md) +* [Compatibility](apis/compatibility.md) +* [Operators](apis/operators/README.md) + * [Tensor](apis/operators/tensor/README.md) + * [tensor.new](apis/operators/tensor/tensor.new.md) + * [tensor.at](apis/operators/tensor/tensor.at.md) + * [tensor.min](apis/operators/tensor/tensor.min.md) + * [tensor.max](apis/operators/tensor/tensor.max.md) + * [tensor.stride](apis/operators/tensor/tensor.stride.md) + * [tensor.ravel\_index](apis/operators/tensor/tensor.ravel\_index.md) + * [tensor.unravel\_index](apis/operators/tensor/tensor.unravel\_index.md) + * [tensor.reshape](apis/operators/tensor/tensor.reshape.md) + * [tensor.transpose](apis/operators/tensor/tensor.transpose.md) + * [tensor.reduce\_sum](apis/operators/tensor/tensor.reduce\_sum.md) + * [tensor.argmax](apis/operators/tensor/tensor.argmax.md) + * [tensor.argmin](apis/operators/tensor/tensor.argmin.md) + * [tensor.matmul](apis/operators/tensor/tensor.matmul.md) + * [tensor.exp](apis/operators/tensor/tensor.exp.md) + * [tensor.ln](apis/operators/tensor/tensor.ln.md) + * [tensor.eq](apis/operators/tensor/tensor.eq.md) + * [tensor.greater](apis/operators/tensor/tensor.greater.md) + * [tensor.greater\_equal](apis/operators/tensor/tensor.greater\_equal.md) + * [tensor.less](apis/operators/tensor/tensor.less.md) + * [tensor.less\_equal](apis/operators/tensor/tensor.less\_equal.md) + * [tensor.abs](apis/operators/tensor/tensor.abs.md) + * [tensor.ceil](apis/operators/tensor/tensor.ceil.md) + * [tensor.cumsum](apis/operators/tensor/tensor.cumsum.md) + * [tensor.sinh](apis/operators/tensor/tensor.sinh.md) + * [tensor.cosh](apis/operators/tensor/tensor.cosh.md) + * [tensor.tanh](apis/operators/tensor/tensor.tanh.md) + * [Neural Network](apis/operators/neural-network/README.md) + * [nn.relu](apis/operators/neural-network/nn.relu.md) + * [nn.leaky\_relu](apis/operators/neural-network/nn.leaky\_relu.md) + * [nn.sigmoid](apis/operators/neural-network/nn.sigmoid.md) + * [nn.softmax](apis/operators/neural-network/nn.softmax.md) + * [nn.logsoftmax](apis/operators/neural-network/nn.logsoftmax.md) + * [nn.softsign](apis/operators/neural-network/nn.softsign.md) + * [nn.softplus](apis/operators/neural-network/nn.softplus.md) + * [nn.linear](apis/operators/neural-network/nn.linear.md) +* [Numbers](apis/numbers/README.md) + * [Signed Integer](apis/numbers/signed-integer/README.md) + * [int.new](apis/numbers/signed-integer/int.new.md) + * [int.div\_rem](apis/numbers/signed-integer/int.div\_rem.md) + * [int.abs](apis/numbers/signed-integer/int.abs.md) + * [int.max](apis/numbers/signed-integer/int.max.md) + * [int.min](apis/numbers/signed-integer/int.min.md) + * [Fixed Point](apis/numbers/fixed-point/README.md) + * [fp.new](apis/numbers/fixed-point/fp.new.md) + * [fp.new\_unscaled](apis/numbers/fixed-point/fp.new\_unscaled.md) + * [fp.from\_felt](apis/numbers/fixed-point/fp.from\_felt.md) + * [fp.from\_unscaled\_felt](apis/numbers/fixed-point/fp.from\_unscaled\_felt.md) + * [fp.abs](apis/numbers/fixed-point/fp.abs.md) + * [fp.ceil](apis/numbers/fixed-point/fp.ceil.md) + * [fp.floor](apis/numbers/fixed-point/fp.floor.md) + * [fp.exp](apis/numbers/fixed-point/fp.exp.md) + * [fp.exp2](apis/numbers/fixed-point/fp.exp2.md) + * [fp.ln](apis/numbers/fixed-point/fp.ln.md) + * [fp.log2](apis/numbers/fixed-point/fp.log2.md) + * [fp.log10](apis/numbers/fixed-point/fp.log10.md) + * [fp.pow](apis/numbers/fixed-point/fp.pow.md) + * [fp.round](apis/numbers/fixed-point/fp.round.md) + * [fp.sqrt](apis/numbers/fixed-point/fp.sqrt.md) +* [Performance](apis/performance/README.md) + * [performance.quantize\_linear](apis/performance/performance.quantize\_linear.md) + * [performance.quantize\_linear\_from\_fp](apis/performance/performance.quantize\_linear\_from\_fp.md) ## 💖 Community -- [Algorithms](community/algorithms.md) -- [Contribute](community/contribute.md) +* [Algorithms](community/algorithms.md) +* [Contribute](community/contribute.md) ## 📖 Resources -- [Tutorials](resources/tutorials/README.md) - - [MNIST Classification with Orion](resources/tutorials/mnist-classification-with-orion.md) +* [Tutorials](resources/tutorials/README.md) + * [MNIST Classification with Orion](resources/tutorials/mnist-classification-with-orion.md) diff --git a/docs/apis/compatibility.md b/docs/apis/compatibility.md index e51a2bbe3..a3e457040 100644 --- a/docs/apis/compatibility.md +++ b/docs/apis/compatibility.md @@ -4,44 +4,45 @@ To see the full list of available ONNX Operators refer to [this table](https://g You can see below the list of current supported ONNX Operators: -| Operator | Implemented | -| :--------------------------------------------------------: | :----------------: | -| [MatMul](operators/tensor/tensor.matmul.md) | :white_check_mark: | -| [MatMulInteger](operators/tensor/tensor.matmul.md) | :white_check_mark: | -| [Add](operators/tensor/#arithmetic-operations) | :white_check_mark: | -| [Sub](operators/tensor/#arithmetic-operations) | :white_check_mark: | -| [Mul](operators/tensor/#arithmetic-operations) | :white_check_mark: | -| [Div](operators/tensor/#arithmetic-operations) | :white_check_mark: | -| [Equal](operators/tensor/tensor.eq.md) | :white_check_mark: | -| [Greater](operators/tensor/tensor.greater.md) | :white_check_mark: | -| [GreaterOrEqual](operators/tensor/tensor.greater_equal.md) | :white_check_mark: | -| [Less](operators/tensor/tensor.less.md) | :white_check_mark: | -| [LessOrEqual](operators/tensor/tensor.less_equal.md) | :white_check_mark: | -| [Abs](operators/tensor/tensor.abs.md) | :white_check_mark: | -| [Ceil](operators/tensor/tensor.ceil.md) | :white_check_mark: | -| [Exp](operators/tensor/tensor.exp.md) | :white_check_mark: | -| [Ln](operators/tensor/tensor.ln.md) | :white_check_mark: | -| [Reshape](operators/tensor/tensor.reshape.md) | :white_check_mark: | -| [Transpose](operators/tensor/tensor.transpose.md) | :white_check_mark: | -| [ArgMax](operators/tensor/tensor.argmax.md) | :white_check_mark: | -| [ArgMin](operators/tensor/tensor.argmin.md) | :white_check_mark: | -| [ReduceSum](operators/tensor/tensor.reduce_sum.md) | :white_check_mark: | -| [CumSum](operators/tensor/tensor.cumsum.md) | :white_check_mark: | -| [Relu](operators/neural-network/nn.relu.md) | :white_check_mark: | -| [LeakyRelu](operators/neural-network/nn.leaky_relu.md) | :white_check_mark: | -| [Sigmoid](operators/neural-network/nn.sigmoid.md) | :white_check_mark: | -| [Softmax](operators/neural-network/nn.softmax.md) | :white_check_mark: | -| [LogSoftmax](operators/neural-network/nn.logsoftmax.md) | :white_check_mark: | -| [Softsign](operators/neural-network/nn.softsign.md) | :white_check_mark: | -| [Softplus](operators/neural-network/nn.softplus.md) | :white_check_mark: | -| [Linear](operators/neural-network/nn.linear.md) | :white_check_mark: | -| [Sinh](operators/tensor/tensor.sinh.md) | :white_check_mark: | -| [Tanh](operators/tensor/tensor.tanh.md) | :white_check_mark: | +| Operator | Implemented | +| :---------------------------------------------------------: | :------------------: | +| [MatMul](operators/tensor/tensor.matmul.md) | :white\_check\_mark: | +| [MatMulInteger](operators/tensor/tensor.matmul.md) | :white\_check\_mark: | +| [Add](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | +| [Sub](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | +| [Mul](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | +| [Div](operators/tensor/#arithmetic-operations) | :white\_check\_mark: | +| [Equal](operators/tensor/tensor.eq.md) | :white\_check\_mark: | +| [Greater](operators/tensor/tensor.greater.md) | :white\_check\_mark: | +| [GreaterOrEqual](operators/tensor/tensor.greater\_equal.md) | :white\_check\_mark: | +| [Less](operators/tensor/tensor.less.md) | :white\_check\_mark: | +| [LessOrEqual](operators/tensor/tensor.less\_equal.md) | :white\_check\_mark: | +| [Abs](operators/tensor/tensor.abs.md) | :white\_check\_mark: | +| [Ceil](operators/tensor/tensor.ceil.md) | :white\_check\_mark: | +| [Exp](operators/tensor/tensor.exp.md) | :white\_check\_mark: | +| [Ln](operators/tensor/tensor.ln.md) | :white\_check\_mark: | +| [Reshape](operators/tensor/tensor.reshape.md) | :white\_check\_mark: | +| [Transpose](operators/tensor/tensor.transpose.md) | :white\_check\_mark: | +| [ArgMax](operators/tensor/tensor.argmax.md) | :white\_check\_mark: | +| [ArgMin](operators/tensor/tensor.argmin.md) | :white\_check\_mark: | +| [ReduceSum](operators/tensor/tensor.reduce\_sum.md) | :white\_check\_mark: | +| [CumSum](operators/tensor/tensor.cumsum.md) | :white\_check\_mark: | +| [Relu](operators/neural-network/nn.relu.md) | :white\_check\_mark: | +| [LeakyRelu](operators/neural-network/nn.leaky\_relu.md) | :white\_check\_mark: | +| [Sigmoid](operators/neural-network/nn.sigmoid.md) | :white\_check\_mark: | +| [Softmax](operators/neural-network/nn.softmax.md) | :white\_check\_mark: | +| [LogSoftmax](operators/neural-network/nn.logsoftmax.md) | :white\_check\_mark: | +| [Softsign](operators/neural-network/nn.softsign.md) | :white\_check\_mark: | +| [Softplus](operators/neural-network/nn.softplus.md) | :white\_check\_mark: | +| [Linear](operators/neural-network/nn.linear.md) | :white\_check\_mark: | +| [Sinh](operators/tensor/tensor.sinh.md) | :white\_check\_mark: | +| [Cosh](operators/tensor/tensor.cosh.md) | :white\_check\_mark: | +| [Tanh](operators/tensor/tensor.tanh.md) | :white\_check\_mark: | Performance optimizations: -| Optimization | Implemented | -| :----------------: | :----------------: | -| 8-bit quantization | :white_check_mark: | +| Optimization | Implemented | +| :----------------: | :------------------: | +| 8-bit quantization | :white\_check\_mark: | -Current Operators support: **29/156 (19%)** +Current Operators support: **30/156 (19%)** \ No 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