| /* |
| * 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); |
| |
| // 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 */ |