/* * 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/runtime/NEON/functions/NEMagnitude.h" #include "tests/NEON/Accessor.h" #include "tests/PaddingCalculator.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/MagnitudeFixture.h" namespace arm_compute { namespace test { namespace validation { namespace { template AbsoluteTolerance tolerance(MagnitudeType magnitude_type) { return AbsoluteTolerance((MagnitudeType::L1NORM == magnitude_type) ? 0 : 1); } } // namespace TEST_SUITE(NEON) TEST_SUITE(Magnitude) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::S16)), shape, data_type) { // Create tensors Tensor src1 = create_tensor(shape, data_type); Tensor src2 = create_tensor(shape, data_type); Tensor dst = create_tensor(shape, data_type); ARM_COMPUTE_EXPECT(src1.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(src2.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); // Create and configure function (default MagnitudeType::L2NORM) NEMagnitude magnitude; magnitude.configure(&src1, &src2, &dst); // Validate valid region const ValidRegion valid_region = shape_to_valid_region(shape); validate(dst.info()->valid_region(), valid_region); // Validate padding const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); validate(src1.info()->padding(), padding); validate(src2.info()->padding(), padding); validate(dst.info()->padding(), padding); } template using NEMagnitudeFixture = MagnitudeValidationFixture; TEST_SUITE(S16) FIXTURE_DATA_TEST_CASE(RunSmall, NEMagnitudeFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::Small2DShapes(), framework::dataset::make("Format", Format::S16)), framework::dataset::make("MagnitudeType", { MagnitudeType::L1NORM, MagnitudeType::L2NORM }))) { // Validate output validate(Accessor(_target), _reference, tolerance(_magnitude_type)); } FIXTURE_DATA_TEST_CASE(RunLarge, NEMagnitudeFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::Large2DShapes(), framework::dataset::make("Format", Format::S16)), framework::dataset::make("MagnitudeType", { MagnitudeType::L1NORM, MagnitudeType::L2NORM }))) { // Validate output validate(Accessor(_target), _reference, tolerance(_magnitude_type)); } TEST_SUITE_END() // S16 TEST_SUITE_END() TEST_SUITE_END() } // namespace validation } // namespace test } // namespace arm_compute