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author | Alex Gilday <alexander.gilday@arm.com> | 2018-03-23 14:16:00 +0000 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:49:16 +0000 |
commit | 7da29b6b12ff319ed2b6e2c46588dfa1991556fb (patch) | |
tree | 24e766d916ae8da32deb5cd4fac4d82207cbe6ea /tests/validation/fixtures/ConvolutionLayerFixture.h | |
parent | f92cb23f06572fe73ec5ab9da0ec5713724c2dde (diff) | |
download | ComputeLibrary-7da29b6b12ff319ed2b6e2c46588dfa1991556fb.tar.gz |
COMPMID-1017: Implement dilated convolution in NEON, OpenCL, and GC
Change-Id: If4626ec9e215e14dffe22e80812da5bac84a52e2
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/125734
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/fixtures/ConvolutionLayerFixture.h')
-rw-r--r-- | tests/validation/fixtures/ConvolutionLayerFixture.h | 32 |
1 files changed, 18 insertions, 14 deletions
diff --git a/tests/validation/fixtures/ConvolutionLayerFixture.h b/tests/validation/fixtures/ConvolutionLayerFixture.h index 48b4665fe7..6a100acef3 100644 --- a/tests/validation/fixtures/ConvolutionLayerFixture.h +++ b/tests/validation/fixtures/ConvolutionLayerFixture.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -54,7 +54,7 @@ public: public: template <typename...> - void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, bool reshape_weights, + void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation, bool reshape_weights, DataType data_type, int fractional_bits, QuantizationInfo quantization_info) { _data_type = data_type; @@ -63,8 +63,8 @@ public: _fractional_bits = fractional_bits; _quantization_info = quantization_info; - _target = compute_target(input_shape, weights_shape, bias_shape, output_shape, info, reshape_weights); - _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info); + _target = compute_target(input_shape, weights_shape, bias_shape, output_shape, info, reshape_weights, dilation); + _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info, dilation); } protected: @@ -98,7 +98,7 @@ protected: } TensorType compute_target(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, const PadStrideInfo &info, - bool reshape_weights) + bool reshape_weights, const Size2D &dilation) { WeightsInfo weights_info(!reshape_weights, weights_shape.x(), weights_shape.y(), weights_shape[3]); TensorShape reshaped_weights_shape(weights_shape); @@ -144,7 +144,7 @@ protected: // Create and configure function FunctionType conv; - conv.configure(&src, &weights, &bias, &dst, info, weights_info); + conv.configure(&src, &weights, &bias, &dst, info, weights_info, dilation); ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS); @@ -220,7 +220,8 @@ protected: return dst; } - SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, const PadStrideInfo &info) + SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, const PadStrideInfo &info, + const Size2D &dilation) { // Create reference SimpleTensor<T> src{ input_shape, _data_type, 1, _fractional_bits, _quantization_info }; @@ -232,7 +233,7 @@ protected: fill(weights, 1); fill(bias, 2); - return reference::convolution_layer<T>(src, weights, bias, output_shape, info); + return reference::convolution_layer<T>(src, weights, bias, output_shape, info, dilation); } TensorType _target{}; @@ -293,9 +294,10 @@ class ConvolutionValidationFixture : public ConvolutionValidationGenericFixture< { public: template <typename...> - void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, bool reshape_weights, DataType data_type) + void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation, bool reshape_weights, DataType data_type) { - ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, reshape_weights, data_type, 0, QuantizationInfo()); + ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, dilation, reshape_weights, data_type, 0, + QuantizationInfo()); } }; @@ -304,9 +306,10 @@ class ConvolutionValidationFixedPointFixture : public ConvolutionValidationGener { public: template <typename...> - void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, bool reshape_weights, DataType data_type, int fractional_bits) + void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation, bool reshape_weights, DataType data_type, + int fractional_bits) { - ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, reshape_weights, data_type, fractional_bits, + ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, dilation, reshape_weights, data_type, fractional_bits, QuantizationInfo()); } }; @@ -316,10 +319,11 @@ class ConvolutionValidationQuantizedFixture : public ConvolutionValidationGeneri { public: template <typename...> - void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, bool reshape_weights, DataType data_type, + void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation, bool reshape_weights, DataType data_type, QuantizationInfo quantization_info) { - ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, reshape_weights, data_type, 0, quantization_info); + ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, dilation, reshape_weights, data_type, 0, + quantization_info); } }; } // namespace validation |