/* * 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 "CL/CLAccessor.h" #include "PaddingCalculator.h" #include "Utils.h" #include "tests/AssetsLibrary.h" #include "tests/Globals.h" #include "tests/validation_old/Datasets.h" #include "tests/validation_old/Reference.h" #include "tests/validation_old/Validation.h" #include "tests/validation_old/ValidationUserConfiguration.h" #include "utils/TypePrinter.h" #include "arm_compute/core/Helpers.h" #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/CLGaussian5x5.h" #include "tests/validation_old/boost_wrapper.h" #include #include using namespace arm_compute; using namespace arm_compute::test; using namespace arm_compute::test::validation; namespace { constexpr unsigned int filter_size = 5; /** Size of the kernel/filter in number of elements. */ constexpr BorderSize border_size(filter_size / 2); /** Border size of the kernel/filter around its central element. */ /** Compute CL gaussian5x5 filter. * * @param[in] shape Shape of the input and output tensors. * @param[in] border_mode BorderMode used by the input tensor. * @param[in] constant_border_value Constant to use if @p border_mode == CONSTANT. * * @return Computed output tensor. */ CLTensor compute_gaussian5x5(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value) { // Create tensors CLTensor src = create_tensor(shape, DataType::U8); CLTensor dst = create_tensor(shape, DataType::U8); // Create and configure function CLGaussian5x5 gaussian5x5; gaussian5x5.configure(&src, &dst, 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(CLAccessor(src), 0); // Compute function gaussian5x5.run(); return dst; } } // namespace #ifndef DOXYGEN_SKIP_THIS BOOST_AUTO_TEST_SUITE(CL) BOOST_AUTO_TEST_SUITE(Gaussian5x5) BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * BorderModes(), shape, border_mode) { // Create tensors CLTensor src = create_tensor(shape, DataType::U8); CLTensor dst = create_tensor(shape, DataType::U8); BOOST_TEST(src.info()->is_resizable()); BOOST_TEST(dst.info()->is_resizable()); // Create and configure function CLGaussian5x5 gaussian5x5; gaussian5x5.configure(&src, &dst, border_mode); // Validate valid region const ValidRegion src_valid_region = shape_to_valid_region(shape); const ValidRegion dst_valid_region = shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, border_size); validate(src.info()->valid_region(), src_valid_region); validate(dst.info()->valid_region(), dst_valid_region); // Validate padding PaddingCalculator calculator(shape.x(), 8); calculator.set_border_size(2); calculator.set_border_mode(border_mode); const PaddingSize dst_padding = calculator.required_padding(); calculator.set_accessed_elements(16); calculator.set_access_offset(-2); const PaddingSize src_padding = calculator.required_padding(); validate(src.info()->padding(), src_padding); validate(dst.info()->padding(), dst_padding); } BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * BorderModes(), shape, border_mode) { std::mt19937 gen(user_config.seed.get()); std::uniform_int_distribution distribution(0, 255); const uint8_t border_value = distribution(gen); // Compute function CLTensor dst = compute_gaussian5x5(shape, border_mode, border_value); // Compute reference RawTensor ref_dst = Reference::compute_reference_gaussian5x5(shape, border_mode, border_value); // Validate output validate(CLAccessor(dst), ref_dst, shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, border_size)); } BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * BorderModes(), shape, border_mode) { std::mt19937 gen(user_config.seed.get()); std::uniform_int_distribution distribution(0, 255); const uint8_t border_value = distribution(gen); // Compute function CLTensor dst = compute_gaussian5x5(shape, border_mode, border_value); // Compute reference RawTensor ref_dst = Reference::compute_reference_gaussian5x5(shape, border_mode, border_value); // Validate output validate(CLAccessor(dst), ref_dst, shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, border_size)); } BOOST_AUTO_TEST_SUITE_END() BOOST_AUTO_TEST_SUITE_END() #endif /* DOXYGEN_SKIP_THIS */