diff --git a/compiler/common-artifacts/exclude.lst b/compiler/common-artifacts/exclude.lst index e6722466def..f58c49b4b6d 100644 --- a/compiler/common-artifacts/exclude.lst +++ b/compiler/common-artifacts/exclude.lst @@ -66,6 +66,7 @@ tcgenerate(Neg_000) tcgenerate(Net_BroadcastTo_AddV2_001) # luci-interpreter doesn't support custom operator tcgenerate(Net_Conv_FakeQuant_000) # luci-interpreter doesn't support FakeQuant yet tcgenerate(Net_Dangle_001) +tcgenerate(Net_DecomposedGru_000) tcgenerate(Net_Densify_Add_000) # luci-interpreter doesn't support Densify yet tcgenerate(Net_Densify_Dequantize_Add_000) # luci-interpreter doesn't support Densify/Dequantize yet tcgenerate(Net_FC_Gelu_FC_000) # luci-interpreter doesn't support custom operator Erf diff --git a/res/TensorFlowLiteRecipes/Net_DecomposedGru_000/test.recipe b/res/TensorFlowLiteRecipes/Net_DecomposedGru_000/test.recipe new file mode 100644 index 00000000000..76383a5ce7f --- /dev/null +++ b/res/TensorFlowLiteRecipes/Net_DecomposedGru_000/test.recipe @@ -0,0 +1,9137 @@ +operand { + name: "serving_default_x:0" + type: FLOAT32 + shape { + dim: 1 + dim: 10 + dim: 4 + } + quant { + quantized_dimension: 0 + } + is_variable: false +} +operand { + name: "transpose" + type: INT32 + shape { + dim: 3 + } + filler { + tag: "explicit" + arg: "10" + arg: "1" + arg: "4" + } + quant { + quantized_dimension: 0 + } + is_variable: false +} +operand { + name: "strided_slice_2" + type: INT32 + shape { + dim: 3 + } + filler { + tag: "explicit" + arg: "-1" + arg: "0" + arg: "0" + } + quant { + quantized_dimension: 0 + } + is_variable: false +} +operand { + name: "strided_slice_21" + type: INT32 + shape { + dim: 3 + } + filler { + tag: "explicit" + arg: "0" + arg: "1" + arg: "50" + } + quant { + quantized_dimension: 0 + } + is_variable: false +} +operand { + name: "strided_slice_22" + type: INT32 + shape { + dim: 3 + } + filler { + tag: "explicit" + arg: "1" + arg: "1" + arg: "1" + } + quant { + quantized_dimension: 0 + } + is_variable: false +} +operand { + name: "TensorArrayV2_1" + type: FLOAT32 + shape { + dim: 1 + dim: 1 + dim: 50 + } + filler { + tag: "explicit" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + } + quant { + quantized_dimension: 0 + } + is_variable: false +} +operand { + name: "time" + type: INT32 + shape { + } + filler { + tag: "explicit" + arg: "0" + } + quant { + quantized_dimension: 0 + } + is_variable: false +} +operand { + name: "strided_slice" + type: INT32 + shape { + } + quant { + quantized_dimension: 0 + } + is_variable: false +} +operand { + name: "sequential/gru/zeros" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + filler { + tag: "explicit" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + arg: "0" + } + quant { + quantized_dimension: 0 + } + is_variable: false +} +operand { + name: "transpose1" + type: FLOAT32 + shape { + dim: 10 + dim: 1 + dim: 4 + } + quant { + quantized_dimension: 0 + } + is_variable: false +} +operand { + name: "while" 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quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/split_1" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/split_11" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/split_12" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/TensorArrayV2Read/TensorListGetItem;time" + type: FLOAT32 + shape { + dim: 1 + dim: 4 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/MatMul1" + type: FLOAT32 + shape { + dim: 1 + dim: 150 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/split" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/split1" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/split2" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/add" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/Sigmoid" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/mul_1" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/sub" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/add_1" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/Sigmoid_1" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/mul" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/add_2" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/Tanh" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/mul_2" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/add_3" + type: FLOAT32 + shape { + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/TensorArrayV2Write/TensorListSetItem1" + type: FLOAT32 + shape { + dim: 1 + dim: 1 + dim: 50 + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operand { + name: "while/add_5" + type: INT32 + shape { + } + quant { + quantized_dimension: 0 + } + is_variable: false + } + operation { + type: "Add" + input: "arg1" + input: "while/add_4/y" + output: "while/add_4" + add_options { + activation: NONE + } + } + operation { + type: "FullyConnected" + input: "arg3" + input: "while/MatMul_11" + input: "" + output: "while/MatMul_12" + fullyconnected_options { + activation: NONE + keep_num_dims: false + } + } + operation { + type: "Split" + input: "while/add_4/y" + input: "while/MatMul_12" + output: "while/split_1" + output: "while/split_11" + output: "while/split_12" + split_options { + num_splits: 3 + } + } + operation { + type: "Gather" + input: "arg4" + input: "arg1" + output: "while/TensorArrayV2Read/TensorListGetItem;time" + gather_options { + axis: 0 + } + } + operation { + type: "FullyConnected" + input: "while/TensorArrayV2Read/TensorListGetItem;time" + input: "while/MatMul" + input: "" + output: "while/MatMul1" + fullyconnected_options { + activation: NONE + keep_num_dims: false + } + } + operation { + type: "Split" + input: "while/add_4/y" + input: "while/MatMul1" + output: "while/split" + output: "while/split1" + output: "while/split2" + split_options { + num_splits: 3 + } + } + operation { + type: "Add" + input: "while/split" + input: "while/split_1" + output: "while/add" + add_options { + activation: NONE + } + } + operation { + type: "Logistic" + input: "while/add" + output: "while/Sigmoid" + } + operation { + type: "Mul" + input: "while/Sigmoid" + input: "arg3" + output: "while/mul_1" + mul_options { + activation: NONE + } + } + operation { + type: "Sub" + input: "while/sub/x" + input: "while/Sigmoid" + output: "while/sub" + sub_options { + activation: NONE + } + } + operation { + type: "Add" + input: "while/split1" + input: "while/split_11" + output: "while/add_1" + add_options { + activation: NONE + } + } + operation { + type: "Logistic" + input: "while/add_1" + output: "while/Sigmoid_1" + } + operation { + type: "Mul" + input: "while/Sigmoid_1" + input: "while/split_12" + output: "while/mul" + mul_options { + activation: NONE + } + } + operation { + type: "Add" + input: "while/split2" + input: "while/mul" + output: "while/add_2" + add_options { + activation: NONE + } + } + operation { + type: "Tanh" + input: "while/add_2" + output: "while/Tanh" + } + operation { + type: "Mul" + input: "while/sub" + input: "while/Tanh" + output: "while/mul_2" + mul_options { + activation: NONE + } + } + operation { + type: "Add" + input: "while/mul_1" + input: "while/mul_2" + output: "while/add_3" + add_options { + activation: NONE + } + } + operation { + type: "Reshape" + input: "while/add_3" + input: "while/TensorArrayV2Write/TensorListSetItem" + output: "while/TensorArrayV2Write/TensorListSetItem1" + } + operation { + type: "Add" + input: "arg0" + input: "while/add_4/y" + output: "while/add_5" + add_options { + activation: NONE + } + } + input: "arg0" + input: "arg1" + input: "arg2" + input: "arg3" + input: "arg4" + output: "while/add_5" + output: "while/add_4" + output: "while/TensorArrayV2Write/TensorListSetItem1" + output: "while/add_3" + output: "arg4" +}