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-/*
- * Copyright (c) 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_LAPLACIAN_PYRAMID_FIXTURE
-#define ARM_COMPUTE_TEST_LAPLACIAN_PYRAMID_FIXTURE
-
-#include "arm_compute/core/IPyramid.h"
-#include "arm_compute/core/PyramidInfo.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/LaplacianPyramid.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename U, typename PyramidType>
-class LaplacianPyramidValidationFixture : public framework::Fixture
-{
-public:
- template <typename...>
- void setup(TensorShape input_shape, BorderMode border_mode, size_t num_levels, Format format_in, Format format_out)
- {
- std::mt19937 generator(library->seed());
- std::uniform_int_distribution<T> distribution_u8(0, 255);
- const T constant_border_value = distribution_u8(generator);
-
- _pyramid_levels = num_levels;
- _border_mode = border_mode;
-
- _target = compute_target(input_shape, border_mode, constant_border_value, format_in, format_out);
- _reference = compute_reference(input_shape, border_mode, constant_border_value, format_in, format_out);
- }
-
-protected:
- template <typename V>
- void fill(V &&tensor)
- {
- library->fill_tensor_uniform(tensor, 0);
- }
-
- PyramidType compute_target(const TensorShape &input_shape, BorderMode border_mode, T constant_border_value,
- Format format_in, Format format_out)
- {
- // Create pyramid
- PyramidType pyramid{};
-
- // Create Pyramid Info
- PyramidInfo pyramid_info(_pyramid_levels, SCALE_PYRAMID_HALF, input_shape, format_out);
-
- // Use conservative padding strategy to fit all subsequent kernels
- pyramid.init_auto_padding(pyramid_info);
-
- // Create tensors
- TensorType src = create_tensor<TensorType>(input_shape, format_in);
-
- // The first two dimensions of the output tensor must match the first
- // two dimensions of the tensor in the last level of the pyramid
- TensorShape dst_shape(input_shape);
- dst_shape.set(0, pyramid.get_pyramid_level(_pyramid_levels - 1)->info()->dimension(0));
- dst_shape.set(1, pyramid.get_pyramid_level(_pyramid_levels - 1)->info()->dimension(1));
-
- // The lowest resolution tensor necessary to reconstruct the input
- // tensor from the pyramid.
- _dst_target = create_tensor<TensorType>(dst_shape, format_out);
-
- // Create and configure function
- FunctionType laplacian_pyramid;
- laplacian_pyramid.configure(&src, &pyramid, &_dst_target, border_mode, constant_border_value);
-
- ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(_dst_target.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- // Allocate tensors
- src.allocator()->allocate();
- _dst_target.allocator()->allocate();
-
- ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!_dst_target.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- pyramid.allocate();
-
- for(size_t i = 0; i < pyramid_info.num_levels(); ++i)
- {
- ARM_COMPUTE_EXPECT(!pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS);
- }
-
- // Fill tensors
- fill(AccessorType(src));
-
- // Compute function
- laplacian_pyramid.run();
-
- return pyramid;
- }
-
- std::vector<SimpleTensor<U>> compute_reference(const TensorShape &shape, BorderMode border_mode, T constant_border_value,
- Format format_in, Format format_out)
- {
- // Create reference
- SimpleTensor<T> src{ shape, format_in };
-
- // The first two dimensions of the output tensor must match the first
- // two dimensions of the tensor in the last level of the pyramid
- TensorShape dst_shape(shape);
- dst_shape.set(0, static_cast<float>(shape[0] + 1) / static_cast<float>(std::pow(2, _pyramid_levels - 1)));
- dst_shape.set(1, static_cast<float>(shape[1] + 1) / static_cast<float>(std::pow(2, _pyramid_levels - 1)));
-
- _dst_reference = SimpleTensor<U>(dst_shape, format_out);
-
- // Fill reference
- fill(src);
-
- return reference::laplacian_pyramid<T, U>(src, _dst_reference, _pyramid_levels, border_mode, constant_border_value);
- }
-
- size_t _pyramid_levels{};
- BorderMode _border_mode{};
- SimpleTensor<U> _dst_reference{};
- TensorType _dst_target{};
- PyramidType _target{};
- std::vector<SimpleTensor<U>> _reference{};
-};
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_LAPLACIAN_PYRAMID_FIXTURE */