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Diffstat (limited to 'tests/validation/fixtures')
-rw-r--r-- | tests/validation/fixtures/ConvolutionFixture.h | 144 |
1 files changed, 144 insertions, 0 deletions
diff --git a/tests/validation/fixtures/ConvolutionFixture.h b/tests/validation/fixtures/ConvolutionFixture.h new file mode 100644 index 0000000000..3e881a2e99 --- /dev/null +++ b/tests/validation/fixtures/ConvolutionFixture.h @@ -0,0 +1,144 @@ +/* + * 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_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/CPP/Convolution.h" + +#include <random> + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T, const unsigned int filter_size> +class ConvolutionValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape shape, DataType data_type, BorderMode border_mode) + { + 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 0 and 255. + const uint32_t scale = distribution(gen); + + switch(filter_size) + { + case 3: + case 5: + case 7: + case 9: + int16_t conv[filter_size * filter_size]; + create_conv(conv); + + _target = compute_target(shape, data_type, conv, scale, border_mode, constant_border_value); + _reference = compute_reference(shape, data_type, conv, scale, border_mode, constant_border_value); + break; + default: + ARM_COMPUTE_ERROR("Filter Size Not Supported"); + } + } + +protected: + 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 < filter_size * filter_size; ++i) + { + conv[i] = distribution_int16(gen); + } + } + + template <typename U> + void fill(U &&tensor, int i) + { + library->fill_tensor_uniform(tensor, i); + } + + TensorType compute_target(const TensorShape &shape, DataType 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, data_type); + TensorType dst = create_tensor<TensorType>(shape, 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 + fill(AccessorType(src), 0); + fill(AccessorType(dst), 1); + + // Compute function + convolution.run(); + + return dst; + } + + SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) + { + ARM_COMPUTE_ERROR_ON(data_type != DataType::U8); + + // Create reference + SimpleTensor<T> src{ shape, data_type }; + + // Fill reference + fill(src, 0); + + // Compute reference + return reference::convolution<T>(src, conv, scale, border_mode, constant_border_value, filter_size); + } + + BorderMode _border_mode{}; + TensorType _target{}; + SimpleTensor<T> _reference{}; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_CONVOLUTION_FIXTURE */ |