diff options
Diffstat (limited to 'tests/validation/fixtures/ConvolutionLayerFixture.h')
| -rw-r--r-- | tests/validation/fixtures/ConvolutionLayerFixture.h | 32 |
1 files changed, 19 insertions, 13 deletions
diff --git a/tests/validation/fixtures/ConvolutionLayerFixture.h b/tests/validation/fixtures/ConvolutionLayerFixture.h index 3d073e3f79..1bcffed526 100644 --- a/tests/validation/fixtures/ConvolutionLayerFixture.h +++ b/tests/validation/fixtures/ConvolutionLayerFixture.h @@ -33,6 +33,7 @@ #include "tests/framework/Asserts.h" #include "tests/framework/Fixture.h" #include "tests/validation/Helpers.h" +#include "tests/validation/reference/ActivationLayer.h" #include "tests/validation/reference/ConvolutionLayer.h" #include "tests/validation/reference/Utils.h" @@ -55,7 +56,7 @@ public: public: template <typename...> 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) + DataType data_type, int fractional_bits, QuantizationInfo quantization_info, ActivationLayerInfo act_info) { _data_type = data_type; _is_quantized = is_data_type_quantized_asymmetric(data_type); @@ -63,8 +64,8 @@ public: _fractional_bits = fractional_bits; _quantization_info = quantization_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); + _target = compute_target(input_shape, weights_shape, bias_shape, output_shape, info, reshape_weights, dilation, act_info); + _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info, dilation, act_info); } protected: @@ -98,7 +99,7 @@ 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, const Size2D &dilation) + bool reshape_weights, const Size2D &dilation, const ActivationLayerInfo act_info) { const bool is_optimised = std::is_same<FunctionType, NEConvolutionLayer>::value && _data_type == DataType::F32; @@ -140,7 +141,7 @@ protected: // Create and configure function FunctionType conv; - conv.configure(&src, &weights, &bias, &dst, info, weights_info, dilation); + conv.configure(&src, &weights, &bias, &dst, info, weights_info, dilation, act_info); ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS); @@ -210,7 +211,7 @@ protected: } 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) + const Size2D &dilation, const ActivationLayerInfo act_info) { // Create reference SimpleTensor<T> src{ input_shape, _data_type, 1, _fractional_bits, _quantization_info }; @@ -222,7 +223,9 @@ protected: fill(weights, 1); fill(bias, 2); - return reference::convolution_layer<T>(src, weights, bias, output_shape, info, dilation); + return (act_info.enabled()) ? reference::activation_layer<T>(reference::convolution_layer<T>(src, weights, bias, output_shape, info, dilation), + act_info) : + reference::convolution_layer<T>(src, weights, bias, output_shape, info, dilation); } TensorType _target{}; @@ -283,10 +286,12 @@ class ConvolutionValidationFixture : public ConvolutionValidationGenericFixture< { public: template <typename...> - void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation, 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, + ActivationLayerInfo act_info) { ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, dilation, reshape_weights, data_type, 0, - QuantizationInfo()); + QuantizationInfo(), + act_info); } }; @@ -296,10 +301,11 @@ class ConvolutionValidationFixedPointFixture : public ConvolutionValidationGener public: template <typename...> 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) + int fractional_bits, + ActivationLayerInfo act_info) { ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, dilation, reshape_weights, data_type, fractional_bits, - QuantizationInfo()); + QuantizationInfo(), act_info); } }; @@ -309,10 +315,10 @@ class ConvolutionValidationQuantizedFixture : public ConvolutionValidationGeneri public: template <typename...> 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) + QuantizationInfo quantization_info, ActivationLayerInfo act_info) { ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, dilation, reshape_weights, data_type, 0, - quantization_info); + quantization_info, act_info); } }; } // namespace validation |