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[onert-micro] This PR adds ReLu6 kernel (#13129)
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Kernels support. Support for the ReLu6 kernel for the [issue](#12427)

ONE-DCO-1.0-Signed-off-by:  Evgenii Maltsev [email protected]
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Torrero authored Jun 10, 2024
1 parent 194ad86 commit 5274519
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2 changes: 1 addition & 1 deletion onert-micro/onert-micro/include/pal/mcu/KernelsToBuild.lst
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Expand Up @@ -36,7 +36,7 @@ REGISTER_KERNEL(FLOOR_MOD, FloorMod)
#/*REGISTER_KERNEL(PRELU, PRelu)*/
#/*REGISTER_KERNEL(RESHAPE, Reshape)*/
REGISTER_KERNEL(RELU, Relu)
#/*REGISTER_KERNEL(RELU6, Relu6)*/
REGISTER_KERNEL(RELU6, Relu6)
#/*REGISTER_KERNEL(REDUCE_PROD, ReduceCommon)*/
#/*REGISTER_KERNEL(REDUCE_MAX, ReduceMax)*/
#/*REGISTER_KERNEL(ROUND, Round)*/
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/*
* Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

#ifndef ONERT_MICRO_TEST_MODELS_FLOAT_RELU6_KERNEL_H
#define ONERT_MICRO_TEST_MODELS_FLOAT_RELU6_KERNEL_H

#include "TestDataReLU6Base.h"

namespace onert_micro
{
namespace test_model
{
namespace relu6_float
{
/*
* ReLU6 Kernel:
*
* Input(1, 3, 3, 2)
* |
* ReLU6
* |
* Output(1, 3, 3, 2)
*/
const unsigned char test_kernel_model_circle[] = {
0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
0x2c, 0x00, 0x00, 0x00, 0x14, 0x01, 0x00, 0x00, 0x30, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
0x48, 0x00, 0x00, 0x00, 0x4c, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
0x00, 0x00, 0x0a, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0a, 0x00, 0x00, 0x00,
0x08, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00,
0x04, 0x00, 0x00, 0x00, 0xd4, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
0x15, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x15, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d,
0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};

const std::vector<float> input_data = {4.2436867, 11.136094, -10.418385, 9.319618, -4.471156,
-20.418179, 18.783192, 7.1997013, -9.659637, 6.2115526,
-4.2794833, 10.500693, 8.646875, 3.8725555, -21.104343,
-7.6522045, 1.0404004, 7.109288};
const std::vector<float> reference_output_data = {4.2436867, 6.0, 0.0, 6.0, 0.0, 0.0,
6.0, 6.0, 0.0, 6.0, 0.0, 6.0,
6.0, 3.8725555, 0.0, 0.0, 1.0404004, 6.0};

} // namespace relu6_float

class TestDataFloatReLU6 : public TestDataReLU6Base<float>
{
public:
TestDataFloatReLU6()
{
_input_data = relu6_float::input_data;
_reference_output_data = relu6_float::reference_output_data;
_test_kernel_model_circle = relu6_float::test_kernel_model_circle;
}

~TestDataFloatReLU6() override = default;
};

} // namespace test_model
} // namespace onert_micro

#endif // ONERT_MICRO_TEST_MODELS_FLOAT_RELU6_KERNEL_H
83 changes: 83 additions & 0 deletions onert-micro/onert-micro/include/test_models/relu6/NegReLU6Kernel.h
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@@ -0,0 +1,83 @@
/*
* Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

#ifndef ONERT_MICRO_TEST_MODELS_NEG_RELU6_KERNEL_H
#define ONERT_MICRO_TEST_MODELS_NEG_RELU6_KERNEL_H

#include "test_models/TestDataBase.h"

namespace onert_micro
{
namespace test_model
{
namespace neg_input_output_type_mismatch_kernel
{
/*
* ReLU6 Kernel with input output type mismatch:
*
* Input(1, 3, 3, 2) - Float32
* |
* ReLU6
* |
* Output(1, 3, 3, 2) - Int32
*/
const unsigned char test_kernel_model_circle[] = {
0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
0x2c, 0x00, 0x00, 0x00, 0x24, 0x01, 0x00, 0x00, 0x40, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
0x48, 0x00, 0x00, 0x00, 0x4c, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
0x00, 0x00, 0x0a, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0a, 0x00, 0x00, 0x00,
0x08, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00,
0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00,
0x0c, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02,
0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
0x15, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x15, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d,
0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};
} // namespace neg_input_output_type_mismatch_kernel

class NegTestDataInputOutputTypeMismatchReLU6Kernel : public NegTestDataBase
{
public:
NegTestDataInputOutputTypeMismatchReLU6Kernel()
{
_test_kernel_model_circle = neg_input_output_type_mismatch_kernel::test_kernel_model_circle;
}

~NegTestDataInputOutputTypeMismatchReLU6Kernel() override = default;

const unsigned char *get_model_ptr() override final { return _test_kernel_model_circle; }

protected:
const unsigned char *_test_kernel_model_circle;
};

} // namespace test_model
} // namespace onert_micro

#endif // ONERT_MICRO_TEST_MODELS_NEG_RELU6_KERNEL_H
Original file line number Diff line number Diff line change
@@ -0,0 +1,60 @@
/*
* Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

#ifndef ONERT_MICRO_TEST_MODELS_RELU6_KERNEL_BASE_H
#define ONERT_MICRO_TEST_MODELS_RELU6_KERNEL_BASE_H

#include "test_models/TestDataBase.h"

namespace onert_micro
{
namespace test_model
{

template <typename T> class TestDataReLU6Base : public TestDataBase<T>
{
public:
TestDataReLU6Base() = default;

const unsigned char *get_model_ptr() override final { return _test_kernel_model_circle; }

const std::vector<T> &get_input_data_by_index(int i) override final
{
switch (i)
{
case 0:
return _input_data;
default:
assert(false && "Wrong input index");
}
}

const std::vector<T> &get_output_data_by_index(int i) override final
{
assert(i == 0);
return _reference_output_data;
}

protected:
std::vector<T> _input_data;
std::vector<T> _reference_output_data;
const unsigned char *_test_kernel_model_circle;
};

} // namespace test_model
} // namespace onert_micro

#endif // ONERT_MICRO_TEST_MODELS_RELU6_KERNEL_BASE_H
98 changes: 98 additions & 0 deletions onert-micro/onert-micro/src/execute/kernels/Relu6.cpp
Original file line number Diff line number Diff line change
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/*
* Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

#include "OMStatus.h"

#include "core/OMUtils.h"

#include "execute/OMKernelExecutionBuilder.h"
#include "execute/OMRuntimeKernel.h"

#include "PALReluCommon.h"

using namespace onert_micro;
using namespace onert_micro::execute;

namespace
{

constexpr uint32_t inputTensorIdx = 0;
constexpr uint32_t outputTensorIdx = 0;

} // namespace

// NOTE: doesnt currently support dynamic shapes
OMStatus onert_micro::execute::execute_kernel_CircleRelu6(const OMExecuteArgs &execute_args)
{
core::OMRuntimeContext &runtime_context = execute_args.runtime_context;
core::OMRuntimeStorage &runtime_storage = execute_args.runtime_storage;
uint16_t op_index = execute_args.kernel_index;

const circle::Tensor *input = nullptr;
const circle::Tensor *output = nullptr;

uint8_t *input_data = nullptr;
uint8_t *output_data = nullptr;

OMStatus status = Ok;

OMRuntimeKernel runtime_kernel;
runtime_kernel.readKernel(op_index, runtime_context);

input = runtime_kernel.inputs[inputTensorIdx];
output = runtime_kernel.outputs[outputTensorIdx];

assert(input != nullptr);
assert(output != nullptr);

status = runtime_kernel.getDataFromStorage(op_index, runtime_storage, runtime_context);
if (status != Ok)
return status;

input_data = runtime_kernel.inputs_data[inputTensorIdx];
output_data = runtime_kernel.outputs_data[outputTensorIdx];

assert(input_data != nullptr);
assert(output_data != nullptr);

switch (input->type())
{
#ifndef DIS_FLOAT
case circle::TensorType_FLOAT32:
{

core::OMRuntimeShape input_shape(input);
core::OMRuntimeShape output_shape(output);

const float *input_data_float = core::utils::castInputData<float>(input_data);
float *output_data_float = core::utils::castOutputData<float>(output_data);

assert(output_data_float);
const int flat_size = input_shape.flatSize();

status = pal::ReLUCommon(flat_size, input_data_float, output_data_float, 0.0f, true);
}
break;
#endif // DIS_FLOAT
default:
{
status = UnsupportedType;
assert(false && "Unsupported type.");
}
}

return status;
}
53 changes: 53 additions & 0 deletions onert-micro/onert-micro/src/execute/kernels/tests/Relu6.test.cpp
Original file line number Diff line number Diff line change
@@ -0,0 +1,53 @@
/*
* Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

#include "execute/OMTestUtils.h"
#include "test_models/relu6/FloatReLU6Kernel.h"
#include "test_models/relu6/NegReLU6Kernel.h"

namespace onert_micro
{
namespace execute
{
namespace testing
{

using namespace testing;

class ReLU6Test : public ::testing::Test
{
// Do nothing
};

TEST_F(ReLU6Test, Float_P)
{
onert_micro::test_model::TestDataFloatReLU6 test_data_kernel;
std::vector<float> output_data_vector =
onert_micro::execute::testing::checkKernel<float>(1, &test_data_kernel);
EXPECT_THAT(output_data_vector,
FloatArrayNear(test_data_kernel.get_output_data_by_index(0), 0.0001f));
}

TEST_F(ReLU6Test, Input_output_type_mismatch_NEG)
{
onert_micro::test_model::NegTestDataInputOutputTypeMismatchReLU6Kernel test_data_kernel;

EXPECT_DEATH(checkNEGSISOKernel(&test_data_kernel), "");
}

} // namespace testing
} // namespace execute
} // namespace onert_micro
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