| /* | |
| * Copyright (c) 2018-2020 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<float> tolerance_f16(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ | |
| constexpr RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ | |
| constexpr AbsoluteTolerance<float> 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 <typename T> | |
| using CLNormalizePlanarYUVLayerFixture = NormalizePlanarYUVLayerValidationFixture<CLTensor, CLAccessor, CLNormalizePlanarYUVLayer, T>; | |
| // *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<half>, 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() // FP16 | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture<float>, 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() // FP32 | |
| TEST_SUITE_END() // Float | |
| template <typename T> | |
| using CLNormalizePlanarYUVLayerQuantizedFixture = NormalizePlanarYUVLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLNormalizePlanarYUVLayer, T>; | |
| TEST_SUITE(Quantized) | |
| TEST_SUITE(QASYMM8) | |
| FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), | |
| framework::dataset::make("DataType", DataType::QASYMM8)), | |
| framework::dataset::make("DataLayout", { DataLayout::NHWC })), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8, 0); | |
| } | |
| TEST_SUITE_END() // QASYMM8 | |
| TEST_SUITE(QASYMM8_SIGNED) | |
| FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), | |
| framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW })), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8, 0); | |
| } | |
| TEST_SUITE_END() // QASYMM8_SIGNED | |
| TEST_SUITE_END() // Quantized | |
| TEST_SUITE_END() // NormalizePlanarYUVLayer | |
| TEST_SUITE_END() // CL | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |