| /* |
| * 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_NONLINEAR_FILTER_FIXTURE |
| #define ARM_COMPUTE_TEST_NONLINEAR_FILTER_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/Helpers.h" |
| #include "tests/validation/reference/NonLinearFilter.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class NonLinearFilterValidationFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, BorderMode border_mode, DataType data_type) |
| { |
| std::mt19937 generator(library->seed()); |
| std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); |
| const uint8_t constant_border_value = distribution_u8(generator); |
| |
| // Create the mask |
| std::vector<uint8_t> mask(mask_size * mask_size); |
| fill_mask_from_pattern(mask.data(), mask_size, mask_size, pattern); |
| |
| _border_size = BorderSize(static_cast<int>(mask_size / 2)); |
| _target = compute_target(shape, data_type, function, mask_size, pattern, mask.data(), border_mode, constant_border_value); |
| _reference = compute_reference(shape, data_type, function, mask_size, pattern, mask.data(), border_mode, constant_border_value); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor) |
| { |
| library->fill_tensor_uniform(tensor, 0); |
| } |
| |
| TensorType compute_target(const TensorShape &shape, DataType data_type, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask, 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 non_linear_filter; |
| non_linear_filter.configure(&src, &dst, function, mask_size, pattern, mask, 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)); |
| |
| // Compute function |
| non_linear_filter.run(); |
| |
| return dst; |
| } |
| |
| SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask, |
| BorderMode border_mode, uint8_t constant_border_value) |
| { |
| // Create reference |
| SimpleTensor<T> src{ shape, data_type }; |
| |
| // Fill reference |
| fill(src); |
| |
| return reference::non_linear_filter<T>(src, function, mask_size, pattern, mask, border_mode, constant_border_value); |
| } |
| |
| BorderMode _border_mode{}; |
| BorderSize _border_size{}; |
| TensorType _target{}; |
| SimpleTensor<T> _reference{}; |
| }; |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_NONLINEAR_FILTER_FIXTURE */ |