| /* |
| * Copyright (c) 2017 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 "NEON/Accessor.h" |
| #include "PaddingCalculator.h" |
| #include "TypePrinter.h" |
| #include "Utils.h" |
| #include "tests/AssetsLibrary.h" |
| #include "tests/Globals.h" |
| #include "tests/validation_old/Datasets.h" |
| #include "tests/validation_old/Helpers.h" |
| #include "tests/validation_old/Reference.h" |
| #include "tests/validation_old/Validation.h" |
| #include "tests/validation_old/ValidationUserConfiguration.h" |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/NEON/functions/NEWarpPerspective.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| |
| #include "tests/validation_old/boost_wrapper.h" |
| |
| #include <random> |
| #include <string> |
| |
| using namespace arm_compute; |
| using namespace arm_compute::test; |
| using namespace arm_compute::test::validation; |
| |
| namespace |
| { |
| /** Compute Warp Perspective function. |
| * |
| * @param[in] input Shape of the input and output tensors. |
| * @param[in] matrix The perspective matrix. Must be 3x3 of type float. |
| * @param[in] policy The interpolation type. |
| * @param[in] border_mode Strategy to use for borders. |
| * @param[in] constant_border_value Constant value to use for borders if border_mode is set to CONSTANT. |
| * |
| * @return Computed output tensor. |
| */ |
| Tensor compute_warp_perspective(const TensorShape &shape, const float *matrix, InterpolationPolicy policy, |
| BorderMode border_mode, uint8_t constant_border_value) |
| { |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, DataType::U8); |
| Tensor dst = create_tensor<Tensor>(shape, DataType::U8); |
| |
| // Create and configure function |
| NEWarpPerspective warp_perspective; |
| warp_perspective.configure(&src, &dst, matrix, policy, border_mode, constant_border_value); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| BOOST_TEST(!src.info()->is_resizable()); |
| BOOST_TEST(!dst.info()->is_resizable()); |
| |
| // Fill tensors |
| library->fill_tensor_uniform(Accessor(src), 0); |
| |
| // Compute function |
| warp_perspective.run(); |
| |
| return dst; |
| } |
| } // namespace |
| |
| #ifndef DOXYGEN_SKIP_THIS |
| BOOST_AUTO_TEST_SUITE(NEON) |
| BOOST_AUTO_TEST_SUITE(WarpPerspective) |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) |
| * boost::unit_test::data::make({ InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR }) * BorderModes(), |
| shape, policy, border_mode) |
| { |
| uint8_t constant_border_value = 0; |
| |
| // Generate a random constant value if border_mode is constant |
| if(border_mode == BorderMode::CONSTANT) |
| { |
| std::mt19937 gen(user_config.seed.get()); |
| std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); |
| constant_border_value = distribution_u8(gen); |
| } |
| |
| // Create the matrix |
| std::array<float, 9> matrix; |
| fill_warp_matrix<9>(matrix, 3, 3); |
| |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, DataType::U8); |
| Tensor dst = create_tensor<Tensor>(shape, DataType::U8); |
| |
| BOOST_TEST(src.info()->is_resizable()); |
| BOOST_TEST(dst.info()->is_resizable()); |
| |
| // Create and configure function |
| NEWarpPerspective warp_perspective; |
| warp_perspective.configure(&src, &dst, matrix.data(), policy, border_mode, constant_border_value); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| |
| validate(src.info()->valid_region(), valid_region); |
| 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); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() |
| * boost::unit_test::data::make({ InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR }) |
| * BorderModes(), |
| shape, policy, border_mode) |
| { |
| uint8_t constant_border_value = 0; |
| |
| // Generate a random constant value if border_mode is constant |
| if(border_mode == BorderMode::CONSTANT) |
| { |
| std::mt19937 gen(user_config.seed.get()); |
| std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); |
| constant_border_value = distribution_u8(gen); |
| } |
| |
| // Create the valid mask Tensor |
| RawTensor valid_mask(shape, DataType::U8); |
| |
| // Create the matrix |
| std::array<float, 9> matrix; |
| fill_warp_matrix<9>(matrix, 3, 3); |
| |
| // Compute function |
| Tensor dst = compute_warp_perspective(shape, matrix.data(), policy, border_mode, constant_border_value); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_warp_perspective(shape, valid_mask, matrix.data(), policy, border_mode, constant_border_value); |
| |
| // Validate output |
| validate(Accessor(dst), ref_dst, valid_mask, 1, 0.2f); |
| } |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() |
| * boost::unit_test::data::make({ InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR }) * BorderModes(), |
| shape, policy, border_mode) |
| { |
| uint8_t constant_border_value = 0; |
| |
| // Generate a random constant value if border_mode is constant |
| if(border_mode == BorderMode::CONSTANT) |
| { |
| std::mt19937 gen(user_config.seed.get()); |
| std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); |
| constant_border_value = distribution_u8(gen); |
| } |
| |
| // Create the valid mask Tensor |
| RawTensor valid_mask(shape, DataType::U8); |
| |
| // Create the matrix |
| std::array<float, 9> matrix; |
| fill_warp_matrix<9>(matrix, 3, 3); |
| |
| // Compute function |
| Tensor dst = compute_warp_perspective(shape, matrix.data(), policy, border_mode, constant_border_value); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_warp_perspective(shape, valid_mask, matrix.data(), policy, border_mode, constant_border_value); |
| |
| // Validate output |
| validate(Accessor(dst), ref_dst, valid_mask, 1, 0.2f); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |
| BOOST_AUTO_TEST_SUITE_END() |
| #endif /* DOXYGEN_SKIP_THIS */ |