| /* |
| * 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/CLPyramid.h" |
| #include "arm_compute/runtime/CL/functions/CLLaplacianPyramid.h" |
| #include "arm_compute/runtime/CL/functions/CLLaplacianReconstruct.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| #include "tests/CL/CLAccessor.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/LaplacianReconstructFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| const auto small_laplacian_reconstruct_levels = framework::dataset::make("NumLevels", 2, 3); |
| const auto large_laplacian_reconstruct_levels = framework::dataset::make("NumLevels", 2, 5); |
| |
| const auto formats = combine(framework::dataset::make("FormatIn", Format::S16), framework::dataset::make("FormatOut", Format::U8)); |
| |
| template <typename T> |
| void validate_laplacian_reconstruct(CLTensor &target, const SimpleTensor<T> &reference, BorderMode border_mode, size_t num_levels) |
| { |
| const unsigned int filter_size = 5; |
| const unsigned int border_size(filter_size / 2); |
| |
| BorderSize border(std::pow(border_size, num_levels)); |
| |
| // Validate output |
| ValidRegion valid_region = shape_to_valid_region(reference.shape(), border_mode == BorderMode::UNDEFINED, border); |
| validate(CLAccessor(target), reference, valid_region); |
| } |
| } // namespace |
| |
| TEST_SUITE(CL) |
| TEST_SUITE(LaplacianReconstruct) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine( |
| concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), |
| datasets::BorderModes()), |
| large_laplacian_reconstruct_levels), |
| shape, border_mode, num_levels) |
| { |
| // Create pyramid info |
| PyramidInfo pyramid_info(num_levels, SCALE_PYRAMID_HALF, shape, Format::S16); |
| CLPyramid dst_pyramid{}; |
| dst_pyramid.init(pyramid_info); |
| |
| // Create Tensors |
| CLTensor src = create_tensor<CLTensor>(shape, DataType::U8); |
| |
| // 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, dst_pyramid.get_pyramid_level(num_levels - 1)->info()->dimension(0)); |
| dst_shape.set(1, dst_pyramid.get_pyramid_level(num_levels - 1)->info()->dimension(1)); |
| CLTensor dst = create_tensor<CLTensor>(dst_shape, DataType::S16); |
| |
| // The dimensions of the reconstruct are the same as the src shape |
| CLTensor rec_dst = create_tensor<CLTensor>(shape, DataType::U8); |
| |
| // Create and configure pyramid function |
| CLLaplacianPyramid laplacian_pyramid; |
| laplacian_pyramid.configure(&src, &dst_pyramid, &dst, border_mode, 0); |
| |
| // Create and configure reconstruct function |
| CLLaplacianReconstruct laplacian_reconstruct; |
| laplacian_reconstruct.configure(&dst_pyramid, &dst, &rec_dst, border_mode, 0); |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| for(size_t level = 0; level < pyramid_info.num_levels(); ++level) |
| { |
| ARM_COMPUTE_EXPECT(dst_pyramid.get_pyramid_level(level)->info()->is_resizable(), framework::LogLevel::ERRORS); |
| } |
| |
| ARM_COMPUTE_EXPECT(rec_dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| } |
| |
| using CLLaplacianReconstructFixture = LaplacianReconstructValidationFixture<CLTensor, CLAccessor, CLLaplacianReconstruct, CLLaplacianPyramid, int16_t, uint8_t, CLPyramid>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLLaplacianReconstructFixture, framework::DatasetMode::PRECOMMIT, |
| combine(combine(combine( |
| datasets::Medium2DShapes(), |
| datasets::BorderModes()), |
| small_laplacian_reconstruct_levels), |
| formats)) |
| { |
| validate_laplacian_reconstruct(_target, _reference, _border_mode, _pyramid_levels); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLLaplacianReconstructFixture, framework::DatasetMode::NIGHTLY, |
| combine(combine(combine( |
| datasets::Large2DShapes(), |
| datasets::BorderModes()), |
| large_laplacian_reconstruct_levels), |
| formats)) |
| { |
| validate_laplacian_reconstruct(_target, _reference, _border_mode, _pyramid_levels); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |