/* * Copyright (c) 2018 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/CL/CLTensor.h" #include "arm_compute/runtime/CL/CLTensorAllocator.h" #include "arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h" #include "tests/CL/CLAccessor.h" #include "tests/PaddingCalculator.h" #include "tests/datasets/RandomNormalizePlanarYUVLayerDataset.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/NormalizePlanarYUVLayerFixture.h" namespace arm_compute { namespace test { namespace validation { namespace { constexpr RelativeTolerance tolerance_f16(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ constexpr RelativeTolerance tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ constexpr AbsoluteTolerance tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ } // namespace TEST_SUITE(CL) TEST_SUITE(NormalizePlanarYUVLayer) template using CLNormalizePlanarYUVLayerFixture = NormalizePlanarYUVLayerValidationFixture; DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make("DataType", { DataType::F16 })), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, dt, data_layout) { TensorShape src_dst_shapes = shape0; if(data_layout == DataLayout::NHWC) { permute(src_dst_shapes, PermutationVector(2U, 0U, 1U)); } // Create tensors CLTensor src = create_tensor(src_dst_shapes, dt, 1, QuantizationInfo(), data_layout); CLTensor dst = create_tensor(src_dst_shapes, dt, 1, QuantizationInfo(), data_layout); CLTensor mean = create_tensor(shape1, dt, 1); CLTensor sd = create_tensor(shape1, dt, 1); // Create and Configure function CLNormalizePlanarYUVLayer norm; norm.configure(&src, &dst, &mean, &sd); // Validate valid region const ValidRegion valid_region = shape_to_valid_region(src_dst_shapes); validate(dst.info()->valid_region(), valid_region); } // *INDENT-OFF* // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data types TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), // Window shrink TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Unsupported data type TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), // Mismatching mean and sd shapes TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), })), framework::dataset::make("MSTDInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::U8), TensorInfo(TensorShape(8U), 1, DataType::F16), TensorInfo(TensorShape(6U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), })), framework::dataset::make("Expected", { false, false, false, true, false, false })), input_info, output_info, msd_info, expected) { const auto &mean_info = msd_info; const auto &sd_info = msd_info; bool has_error = bool(CLNormalizePlanarYUVLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), &mean_info.clone()->set_is_resizable(false), &sd_info.clone()->set_is_resizable(false))); ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS); } // clang-format on // *INDENT-ON* TEST_SUITE(Float) TEST_SUITE(FP16) FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f16, 0); } TEST_SUITE_END() TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); } TEST_SUITE_END() TEST_SUITE_END() template using CLNormalizePlanarYUVLayerQuantizedFixture = NormalizePlanarYUVLayerValidationQuantizedFixture; TEST_SUITE(Quantized) TEST_SUITE(QASYMM8) FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerQuantizedFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, 0); } TEST_SUITE_END() TEST_SUITE_END() TEST_SUITE_END() TEST_SUITE_END() } // namespace validation } // namespace test } // namespace arm_compute