/* * Copyright (c) 2017-2019 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/NEWarpAffine.h" #include "arm_compute/runtime/Tensor.h" #include "arm_compute/runtime/TensorAllocator.h" #include "tests/AssetsLibrary.h" #include "tests/NEON/Accessor.h" #include "tests/PaddingCalculator.h" #include "tests/datasets/BorderModeDataset.h" #include "tests/datasets/InterpolationPolicyDataset.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/WarpAffineFixture.h" #include "tests/validation/reference/Utils.h" namespace arm_compute { namespace test { namespace validation { namespace { /** Tolerance */ constexpr AbsoluteTolerance tolerance(1); } // namespace TEST_SUITE(NEON) TEST_SUITE(WarpAffine) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), shape, data_type, policy, border_mode) { // Generate a random constant value if border_mode is constant std::mt19937 gen(library->seed()); std::uniform_int_distribution distribution_u8(0, 255); uint8_t constant_border_value = distribution_u8(gen); // Create the matrix std::array matrix{ {} }; fill_warp_matrix<9>(matrix); // Create tensors Tensor src = create_tensor(shape, data_type); Tensor dst = create_tensor(shape, data_type); ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); // Create and configure function NEWarpAffine warp_affine; warp_affine.configure(&src, &dst, matrix, policy, border_mode, constant_border_value); // Validate valid region const ValidRegion valid_region = shape_to_valid_region(shape); validate(dst.info()->valid_region(), valid_region); // Validate padding PaddingCalculator calculator(shape.x(), 1); calculator.set_border_mode(border_mode); calculator.set_border_size(1); const PaddingSize read_padding(1); const PaddingSize write_padding = calculator.required_padding(); validate(src.info()->padding(), read_padding); validate(dst.info()->padding(), write_padding); } template using NEWarpAffineFixture = WarpAffineValidationFixture; FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpAffineFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes())) { // Validate output validate(Accessor(_target), _reference, _valid_mask, tolerance, 0.02f); } DISABLED_FIXTURE_DATA_TEST_CASE(RunLarge, NEWarpAffineFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes())) { // Validate output validate(Accessor(_target), _reference, _valid_mask, tolerance, 0.02f); } TEST_SUITE_END() TEST_SUITE_END() } // namespace validation } // namespace test } // namespace arm_compute