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Diffstat (limited to 'tests/validation_new/fixtures/DepthwiseSeparableConvolutionLayerFixture.h')
-rw-r--r-- | tests/validation_new/fixtures/DepthwiseSeparableConvolutionLayerFixture.h | 139 |
1 files changed, 139 insertions, 0 deletions
diff --git a/tests/validation_new/fixtures/DepthwiseSeparableConvolutionLayerFixture.h b/tests/validation_new/fixtures/DepthwiseSeparableConvolutionLayerFixture.h new file mode 100644 index 0000000000..c2578a9ce0 --- /dev/null +++ b/tests/validation_new/fixtures/DepthwiseSeparableConvolutionLayerFixture.h @@ -0,0 +1,139 @@ +/* + * Copyright (c) 2017 ARM Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#ifndef ARM_COMPUTE_TEST_DEPTHWISE_SEPARABLE_CONVOLUTION_LAYER_FIXTURE +#define ARM_COMPUTE_TEST_DEPTHWISE_SEPARABLE_CONVOLUTION_LAYER_FIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "framework/Asserts.h" +#include "framework/Fixture.h" +#include "tests/AssetsLibrary.h" +#include "tests/Globals.h" +#include "tests/IAccessor.h" +#include "tests/validation_new/CPP/DepthwiseSeparableConvolutionLayer.h" +#include "tests/validation_new/Helpers.h" + +#include <random> + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class DepthwiseSeparableConvolutionValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape in_shape, TensorShape depthwise_weights_shape, TensorShape depthwise_out_shape, TensorShape pointwise_weights_shape, TensorShape biases_shape, TensorShape output_shape, + PadStrideInfo pad_stride_depthwise_info, PadStrideInfo pad_stride_pointwise_info) + { + _target = compute_target(in_shape, depthwise_weights_shape, depthwise_out_shape, pointwise_weights_shape, biases_shape, output_shape, pad_stride_depthwise_info, pad_stride_pointwise_info); + _reference = compute_reference(in_shape, depthwise_weights_shape, depthwise_out_shape, pointwise_weights_shape, biases_shape, output_shape, pad_stride_depthwise_info, pad_stride_pointwise_info); + } + +protected: + template <typename U> + void fill(U &&tensor, int i) + { + switch(tensor.data_type()) + { + case DataType::F32: + { + std::uniform_real_distribution<> distribution(-1.0f, 1.0f); + library->fill(tensor, distribution, i); + break; + } + default: + library->fill_tensor_uniform(tensor, i); + } + } + + TensorType compute_target(const TensorShape &input_shape, const TensorShape &depthwise_weights_shape, const TensorShape &depthwise_out_shape, const TensorShape &pointwise_weights_shape, + const TensorShape &biases_shape, + const TensorShape &output_shape, const PadStrideInfo &pad_stride_depthwise_info, const PadStrideInfo &pad_stride_pointwise_info) + { + // Create tensors + TensorType src = create_tensor<TensorType>(input_shape, DataType::F32); + TensorType depthwise_weights = create_tensor<TensorType>(depthwise_weights_shape, DataType::F32); + TensorType depthwise_out = create_tensor<TensorType>(depthwise_out_shape, DataType::F32); + TensorType pointwise_weights = create_tensor<TensorType>(pointwise_weights_shape, DataType::F32); + TensorType biases = create_tensor<TensorType>(biases_shape, DataType::F32); + TensorType dst = create_tensor<TensorType>(output_shape, DataType::F32); + + // Create Depthwise Separable Convolution Layer configure function + CLDepthwiseSeparableConvolutionLayer depthwise_separable_convolution_layer; + depthwise_separable_convolution_layer.configure(&src, &depthwise_weights, &depthwise_out, &pointwise_weights, &biases, &dst, pad_stride_depthwise_info, pad_stride_pointwise_info); + + // Allocate tensors + src.allocator()->allocate(); + depthwise_weights.allocator()->allocate(); + depthwise_out.allocator()->allocate(); + pointwise_weights.allocator()->allocate(); + biases.allocator()->allocate(); + dst.allocator()->allocate(); + + ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!depthwise_weights.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!depthwise_out.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!pointwise_weights.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!biases.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Fill tensors + fill(AccessorType(src), 0); + fill(AccessorType(depthwise_weights), 1); + fill(AccessorType(pointwise_weights), 2); + fill(AccessorType(biases), 3); + + // Compute function + depthwise_separable_convolution_layer.run(); + + return dst; + } + + SimpleTensor<T> compute_reference(const TensorShape &in_shape, const TensorShape &depthwise_weights_shape, const TensorShape &depthwise_out_shape, const TensorShape &pointwise_weights_shape, + const TensorShape &biases_shape, const TensorShape &dst_shape, const PadStrideInfo &pad_stride_depthwise_info, const PadStrideInfo &pad_stride_pointwise_info) + { + SimpleTensor<T> src(in_shape, DataType::F32); + SimpleTensor<T> depthwise_weights(depthwise_weights_shape, DataType::F32); + SimpleTensor<T> pointwise_weights(pointwise_weights_shape, DataType::F32); + SimpleTensor<T> biases(biases_shape, DataType::F32); + + fill(src, 0); + fill(depthwise_weights, 1); + fill(pointwise_weights, 2); + fill(biases, 3); + + return reference::depthwise_separable_convolution_layer(src, depthwise_weights, depthwise_out_shape, pointwise_weights, biases, dst_shape, pad_stride_depthwise_info, pad_stride_pointwise_info); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_DEPTHWISE_SEPARABLE_CONVOLUTION_LAYER_FIXTURE */ |