/* * 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. */ #include "arm_compute/core/Types.h" #include "arm_compute/runtime/CL/CLTensor.h" #include "arm_compute/runtime/CL/CLTensorAllocator.h" #include "arm_compute/runtime/CL/functions/CLGaussianPyramid.h" #include "tests/CL/CLAccessor.h" #include "tests/PaddingCalculator.h" #include "tests/datasets/BorderModeDataset.h" #include "tests/datasets/ShapeDatasets.h" #include "tests/framework/Asserts.h" #include "tests/framework/Macros.h" #include "tests/framework/datasets/Datasets.h" #include "tests/validation/Validation.h" #include "tests/validation/fixtures/GaussianPyramidHalfFixture.h" #include "tests/validation/reference/Utils.h" namespace arm_compute { namespace test { namespace validation { namespace { const auto small_gaussian_pyramid_levels = combine(datasets::Medium2DShapes(), datasets::BorderModes()) * framework::dataset::make("numlevels", 2, 4); const auto large_gaussian_pyramid_levels = combine(datasets::Large2DShapes(), datasets::BorderModes()) * framework::dataset::make("numlevels", 2, 5); template inline void validate_gaussian_pyramid(const CLPyramid &target, const std::vector> &reference, BorderMode border_mode) { ValidRegion prev_valid_region = shape_to_valid_region(reference[0].shape()); for(size_t i = 1; i < reference.size(); ++i) { const ValidRegion valid_region = shape_to_valid_region_gaussian_pyramid_half(reference[i - 1].shape(), prev_valid_region, (border_mode == BorderMode::UNDEFINED)); // Validate outputs validate(CLAccessor(*(target.get_pyramid_level(i))), reference[i], valid_region); // Keep the valid region for the next level prev_valid_region = valid_region; } } } // namespace TEST_SUITE(CL) TEST_SUITE(GaussianPyramid) TEST_SUITE(Half) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, large_gaussian_pyramid_levels, shape, border_mode, num_levels) { CLTensor src = create_tensor(shape, DataType::U8); // Create pyramid PyramidInfo pyramid_info(num_levels, SCALE_PYRAMID_HALF, shape, Format::U8); CLPyramid dst; dst.init(pyramid_info); CLGaussianPyramidHalf gaussian_pyramid_half; gaussian_pyramid_half.configure(&src, &dst, border_mode, 0); ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); for(size_t level = 0; level < pyramid_info.num_levels(); ++level) { ARM_COMPUTE_EXPECT(dst.get_pyramid_level(level)->info()->is_resizable(), framework::LogLevel::ERRORS); } } template using CLGaussianPyramidHalfFixture = GaussianPyramidHalfValidationFixture; FIXTURE_DATA_TEST_CASE(RunSmallGaussianPyramidHalf, CLGaussianPyramidHalfFixture, framework::DatasetMode::ALL, small_gaussian_pyramid_levels) { validate_gaussian_pyramid(_target, _reference, _border_mode); } FIXTURE_DATA_TEST_CASE(RunLargeGaussianPyramidHalf, CLGaussianPyramidHalfFixture, framework::DatasetMode::NIGHTLY, large_gaussian_pyramid_levels) { validate_gaussian_pyramid(_target, _reference, _border_mode); } TEST_SUITE_END() TEST_SUITE_END() TEST_SUITE_END() } // namespace validation } // namespace test } // namespace arm_compute