| /* |
| * 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/NEON/functions/NELaplacianPyramid.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| #include "tests/NEON/Accessor.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/LaplacianPyramidFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| const auto small_laplacian_pyramid_levels = framework::dataset::make("NumLevels", 2, 3); |
| const auto large_laplacian_pyramid_levels = framework::dataset::make("NumLevels", 2, 5); |
| |
| const auto formats = combine(framework::dataset::make("FormatIn", Format::U8), framework::dataset::make("FormatOut", Format::S16)); |
| |
| template <typename T> |
| inline void validate_laplacian_pyramid(const Pyramid &target, const std::vector<SimpleTensor<T>> &reference, BorderMode border_mode) |
| { |
| Tensor *level_image = target.get_pyramid_level(0); |
| ValidRegion valid_region = shape_to_valid_region(reference[0].shape(), border_mode == BorderMode::UNDEFINED, BorderSize(2)); |
| |
| // Validate lowest level |
| validate(Accessor(*level_image), reference[0], valid_region); |
| |
| // Validate remaining levels |
| for(size_t lev = 1; lev < target.info()->num_levels(); lev++) |
| { |
| level_image = target.get_pyramid_level(lev); |
| Tensor *prev_level_image = target.get_pyramid_level(lev - 1); |
| |
| valid_region = shape_to_valid_region_laplacian_pyramid(prev_level_image->info()->tensor_shape(), |
| prev_level_image->info()->valid_region(), |
| border_mode == BorderMode::UNDEFINED); |
| |
| // Validate level |
| validate(Accessor(*level_image), reference[lev], valid_region); |
| } |
| } |
| } // namespace |
| |
| TEST_SUITE(NEON) |
| TEST_SUITE(LaplacianPyramid) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine( |
| concat(datasets::Medium2DShapes(), datasets::Large2DShapes()), |
| datasets::BorderModes()), |
| large_laplacian_pyramid_levels), |
| shape, border_mode, num_levels) |
| { |
| // Create pyramid info |
| PyramidInfo pyramid_info(num_levels, SCALE_PYRAMID_HALF, shape, Format::S16); |
| Pyramid dst_pyramid{}; |
| dst_pyramid.init(pyramid_info); |
| |
| // Create Tensors |
| Tensor src = create_tensor<Tensor>(shape, Format::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)); |
| Tensor dst = create_tensor<Tensor>(dst_shape, Format::S16); |
| |
| // Create and configure function |
| NELaplacianPyramid laplacian_pyramid; |
| laplacian_pyramid.configure(&src, &dst_pyramid, &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); |
| } |
| } |
| |
| using NELaplacianPyramidFixture = LaplacianPyramidValidationFixture<Tensor, Accessor, NELaplacianPyramid, uint8_t, int16_t, Pyramid>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT, |
| combine(combine(combine( |
| datasets::Medium2DShapes(), |
| datasets::BorderModes()), |
| small_laplacian_pyramid_levels), |
| formats)) |
| { |
| validate_laplacian_pyramid(_target, _reference, _border_mode); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianPyramidFixture, framework::DatasetMode::NIGHTLY, |
| combine(combine(combine( |
| datasets::Large2DShapes(), |
| datasets::BorderModes()), |
| large_laplacian_pyramid_levels), |
| formats)) |
| { |
| validate_laplacian_pyramid(_target, _reference, _border_mode); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |