/* * 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 "arm_compute/core/Types.h" #include "arm_compute/runtime/NEON/functions/NEDequantizationLayer.h" #include "arm_compute/runtime/Tensor.h" #include "arm_compute/runtime/TensorAllocator.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/DequantizationLayerFixture.h" namespace arm_compute { namespace test { namespace validation { namespace { /** Tolerance for float operations */ constexpr AbsoluteTolerance tolerance_f32(0.001f); const auto DequantizationShapes = concat(concat(concat(datasets::Small3DShapes(), datasets::Large3DShapes()), datasets::Small4DShapes()), datasets::Large4DShapes()); } // namespace TEST_SUITE(NEON) TEST_SUITE(DequantizationLayer) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(DequantizationShapes, framework::dataset::make("DataType", DataType::U8)), shape, data_type) { TensorShape shape_min_max = shape; shape_min_max.set(Window::DimX, 2); // Remove Y and Z dimensions and keep the batches shape_min_max.remove_dimension(1); shape_min_max.remove_dimension(1); // Create tensors Tensor src = create_tensor(shape, data_type); Tensor dst = create_tensor(shape, DataType::F32); Tensor min_max = create_tensor(shape_min_max, DataType::F32); ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(min_max.info()->is_resizable(), framework::LogLevel::ERRORS); // Create and configure function NEDequantizationLayer dequant_layer; dequant_layer.configure(&src, &dst, &min_max); // 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 valid region of min_max tensor const ValidRegion valid_region_min_max = shape_to_valid_region(shape_min_max); validate(min_max.info()->valid_region(), valid_region_min_max); // Validate padding const PaddingSize padding = PaddingCalculator(shape.x(), 8).required_padding(); validate(src.info()->padding(), padding); validate(dst.info()->padding(), padding); // Validate padding of min_max tensor const PaddingSize padding_min_max = PaddingCalculator(shape_min_max.x(), 2).required_padding(); validate(min_max.info()->padding(), padding_min_max); } template using NEDequantizationLayerFixture = DequantizationValidationFixture; TEST_SUITE(Integer) TEST_SUITE(U8) FIXTURE_DATA_TEST_CASE(RunSmall, NEDequantizationLayerFixture, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small3DShapes(), datasets::Small4DShapes()), framework::dataset::make("DataType", DataType::U8))) { // Validate output validate(Accessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunLarge, NEDequantizationLayerFixture, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large3DShapes(), datasets::Large4DShapes()), framework::dataset::make("DataType", DataType::U8))) { // Validate output validate(Accessor(_target), _reference, tolerance_f32); } TEST_SUITE_END() TEST_SUITE_END() TEST_SUITE_END() TEST_SUITE_END() } // namespace validation } // namespace test } // namespace arm_compute