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Diffstat (limited to 'tests/validation/fixtures/HOGDescriptorFixture.h')
-rw-r--r-- | tests/validation/fixtures/HOGDescriptorFixture.h | 142 |
1 files changed, 142 insertions, 0 deletions
diff --git a/tests/validation/fixtures/HOGDescriptorFixture.h b/tests/validation/fixtures/HOGDescriptorFixture.h new file mode 100644 index 0000000000..cabee63ae3 --- /dev/null +++ b/tests/validation/fixtures/HOGDescriptorFixture.h @@ -0,0 +1,142 @@ +/* + * 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_HOG_DESCRIPTOR_FIXTURE +#define ARM_COMPUTE_TEST_HOG_DESCRIPTOR_FIXTURE + +#include "arm_compute/core/HOGInfo.h" +#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/HOGDescriptor.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename HOGType, typename AccessorType, typename FunctionType, typename T, typename U> +class HOGDescriptorValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(std::string image, HOGInfo hog_info, Format format, BorderMode border_mode) + { + // Only defined borders supported + ARM_COMPUTE_ERROR_ON(border_mode == BorderMode::UNDEFINED); + + // Generate a random constant value + std::mt19937 gen(library->seed()); + std::uniform_int_distribution<T> int_dist(0, 255); + const T constant_border_value = int_dist(gen); + + _target = compute_target(image, format, border_mode, constant_border_value, hog_info); + _reference = compute_reference(image, format, border_mode, constant_border_value, hog_info); + } + +protected: + template <typename V> + void fill(V &&tensor, const std::string image, Format format) + { + library->fill(tensor, image, format); + } + + template <typename V, typename D> + void fill(V &&tensor, int i, D max) + { + library->fill_tensor_uniform(tensor, i, static_cast<D>(0), max); + } + + TensorType compute_target(const std::string image, Format &format, BorderMode &border_mode, T constant_border_value, const HOGInfo &hog_info) + { + // Get image shape for src tensor + TensorShape shape = library->get_image_shape(image); + + // Create tensor info for HOG descriptor + TensorInfo tensor_info_hog_descriptor(hog_info, shape.x(), shape.y()); + + // Create HOG + HOGType hog = create_HOG<HOGType>(hog_info.cell_size(), + hog_info.block_size(), + hog_info.detection_window_size(), + hog_info.block_stride(), + hog_info.num_bins(), + hog_info.normalization_type(), + hog_info.l2_hyst_threshold(), + hog_info.phase_type()); + + // Create tensors + TensorType src = create_tensor<TensorType>(shape, data_type_from_format(format)); + TensorType dst = create_tensor<TensorType>(tensor_info_hog_descriptor.tensor_shape(), DataType::F32, tensor_info_hog_descriptor.num_channels()); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Create and configure function + FunctionType hog_descriptor; + hog_descriptor.configure(&src, &dst, &hog, 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); + + const T max = std::numeric_limits<T>::max(); + + // Fill tensors + fill(AccessorType(src), image, format); + fill(AccessorType(dst), 1, static_cast<U>(max)); + + // Compute function + hog_descriptor.run(); + + return dst; + } + + SimpleTensor<U> compute_reference(const std::string image, Format format, BorderMode border_mode, T constant_border_value, const HOGInfo &hog_info) + { + // Create reference + SimpleTensor<T> src{ library->get_image_shape(image), data_type_from_format(format) }; + + // Fill reference + fill(src, image, format); + + return reference::hog_descriptor<U>(src, border_mode, constant_border_value, hog_info); + } + + TensorType _target{}; + SimpleTensor<U> _reference{}; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_HOG_DESCRIPTOR_FIXTURE */ |