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-rw-r--r--tests/validation/fixtures/HOGDescriptorFixture.h135
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diff --git a/tests/validation/fixtures/HOGDescriptorFixture.h b/tests/validation/fixtures/HOGDescriptorFixture.h
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-/*
- * 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 */