| /* |
| * Copyright (c) 2017-2018 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_CONVOLUTION_FIXTURE |
| #define ARM_COMPUTE_TEST_CONVOLUTION_FIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "tests/AssetsLibrary.h" |
| #include "tests/Globals.h" |
| #include "tests/IAccessor.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/validation/reference/Convolution.h" |
| |
| #include <random> |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class ConvolutionValidationFixture : public framework::Fixture |
| { |
| protected: |
| template <typename...> |
| void setup(TensorShape shape, DataType output_data_type, BorderMode border_mode, const unsigned int width, const unsigned int height, const bool is_separable = false) |
| { |
| std::mt19937 gen(library->seed()); |
| std::uniform_int_distribution<uint8_t> distribution(0, 255); |
| const uint8_t constant_border_value = distribution(gen); |
| |
| // Generate random scale value between 1 and 255. |
| std::uniform_int_distribution<uint8_t> distribution_scale(1, 255); |
| const uint32_t scale = distribution_scale(gen); |
| |
| ARM_COMPUTE_ERROR_ON(3 != width && 5 != width && 7 != width && 9 != width); |
| ARM_COMPUTE_ERROR_ON(3 != height && 5 != height && 7 != height && 9 != height); |
| |
| std::vector<int16_t> conv(width * height); |
| |
| _width = width; |
| _height = height; |
| |
| if(is_separable) |
| { |
| create_separable_conv(conv.data()); |
| } |
| else |
| { |
| create_conv(conv.data()); |
| } |
| |
| _target = compute_target(shape, output_data_type, conv.data(), scale, border_mode, constant_border_value); |
| _reference = compute_reference(shape, output_data_type, conv.data(), scale, border_mode, constant_border_value); |
| } |
| |
| void |
| create_conv(int16_t *conv) |
| { |
| std::mt19937 gen(library->seed()); |
| std::uniform_int_distribution<int16_t> distribution_int16(-32768, 32767); |
| |
| for(unsigned int i = 0; i < _width * _height; ++i) |
| { |
| conv[i] = distribution_int16(gen); |
| } |
| } |
| |
| void |
| create_separable_conv(int16_t *conv) |
| { |
| std::mt19937 gen(library->seed()); |
| // Set it between -128 and 127 to ensure the matrix does not overflow |
| std::uniform_int_distribution<int16_t> distribution_int16(-128, 127); |
| |
| int16_t conv_row[_width]; |
| int16_t conv_col[_height]; |
| |
| conv_row[0] = conv_col[0] = 1; |
| for(unsigned int i = 1; i < _width; ++i) |
| { |
| conv_row[i] = distribution_int16(gen); |
| conv_col[i] = distribution_int16(gen); |
| } |
| |
| // Multiply two matrices |
| for(unsigned int i = 0; i < _width; ++i) |
| { |
| for(unsigned int j = 0; j < _height; ++j) |
| { |
| conv[i * _width + j] = conv_col[i] * conv_row[j]; |
| } |
| } |
| } |
| |
| template <typename U> |
| void fill(U &&tensor, int i) |
| { |
| library->fill_tensor_uniform(tensor, i); |
| } |
| |
| SimpleTensor<T> compute_reference(const TensorShape &shape, DataType output_data_type, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) |
| { |
| // Create reference |
| SimpleTensor<uint8_t> src{ shape, DataType::U8 }; |
| |
| // Fill reference |
| fill(src, 0); |
| |
| // Compute reference |
| return reference::convolution<T>(src, output_data_type, conv, scale, border_mode, constant_border_value, _width, _height); |
| } |
| |
| virtual TensorType compute_target(const TensorShape &shape, DataType output_data_type, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) = 0; |
| |
| BorderMode _border_mode{}; |
| TensorType _target{}; |
| SimpleTensor<T> _reference{}; |
| unsigned int _width{}; |
| unsigned int _height{}; |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class ConvolutionSquareValidationFixture : public ConvolutionValidationFixture<TensorType, AccessorType, FunctionType, T> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType output_data_type, BorderMode border_mode, const unsigned int width) |
| { |
| ConvolutionValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, output_data_type, border_mode, width, width); |
| } |
| |
| protected: |
| TensorType compute_target(const TensorShape &shape, DataType output_data_type, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) |
| { |
| // Create tensors |
| TensorType src = create_tensor<TensorType>(shape, DataType::U8); |
| TensorType dst = create_tensor<TensorType>(shape, output_data_type); |
| |
| // Create and configure function |
| FunctionType convolution; |
| convolution.configure(&src, &dst, conv, scale, border_mode, constant_border_value); |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Fill tensors |
| this->fill(AccessorType(src), 0); |
| this->fill(AccessorType(dst), 1); |
| |
| // Compute function |
| convolution.run(); |
| |
| return dst; |
| } |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class ConvolutionSeparableValidationFixture : public ConvolutionValidationFixture<TensorType, AccessorType, FunctionType, T> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType output_data_type, BorderMode border_mode, const unsigned int width) |
| { |
| ConvolutionValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, output_data_type, border_mode, width, width, true); |
| } |
| |
| protected: |
| TensorType compute_target(const TensorShape &shape, DataType output_data_type, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) |
| { |
| // Create tensors |
| TensorType src = create_tensor<TensorType>(shape, DataType::U8); |
| TensorType dst = create_tensor<TensorType>(shape, output_data_type); |
| |
| // Create and configure function |
| FunctionType convolution; |
| convolution.configure(&src, &dst, conv, scale, border_mode, constant_border_value); |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Fill tensors |
| this->fill(AccessorType(src), 0); |
| this->fill(AccessorType(dst), 1); |
| |
| // Compute function |
| convolution.run(); |
| |
| return dst; |
| } |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class ConvolutionRectangleValidationFixture : public ConvolutionValidationFixture<TensorType, AccessorType, FunctionType, T> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType output_data_type, BorderMode border_mode, const unsigned int width, const unsigned int height) |
| { |
| ConvolutionValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, output_data_type, border_mode, width, height); |
| } |
| |
| protected: |
| TensorType compute_target(const TensorShape &shape, DataType output_data_type, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) |
| { |
| // Create tensors |
| TensorType src = create_tensor<TensorType>(shape, DataType::U8); |
| TensorType dst = create_tensor<TensorType>(shape, output_data_type); |
| |
| // Create and configure function |
| FunctionType convolution; |
| convolution.configure(&src, &dst, conv, this->_width, this->_height, scale, border_mode, constant_border_value); |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Fill tensors |
| this->fill(AccessorType(src), 0); |
| this->fill(AccessorType(dst), 1); |
| |
| // Compute function |
| convolution.run(); |
| |
| return dst; |
| } |
| }; |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_CONVOLUTION_FIXTURE */ |