| /* | |
| * Copyright (c) 2019-2020 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/functions/CLInstanceNormalizationLayer.h" | |
| #include "arm_compute/runtime/TensorAllocator.h" | |
| #include "tests/CL/CLAccessor.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/InstanceNormalizationLayerFixture.h" | |
| namespace arm_compute | |
| { | |
| namespace test | |
| { | |
| namespace validation | |
| { | |
| namespace | |
| { | |
| /** Tolerance for float operations */ | |
| AbsoluteTolerance<float> tolerance_f32(0.0015f); | |
| AbsoluteTolerance<float> tolerance_f16(0.5f); | |
| } // namespace | |
| TEST_SUITE(CL) | |
| TEST_SUITE(InstanceNormalizationLayer) | |
| // *INDENT-OFF* | |
| // clang-format off | |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( | |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching data type input/output | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching shape input/output | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 2, DataType::F32), // Number of Input channels != 1 | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), // DataType != F32 | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NCHW), | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NHWC), | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32) | |
| }), | |
| framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F16), | |
| TensorInfo(TensorShape(256U, 64U, 32U, 4U), 1, DataType::F32), | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NCHW), | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NHWC), | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), | |
| TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32) | |
| })), | |
| framework::dataset::make("Expected", { false, false, false, false, true, true, true, true, true, true })), | |
| input_info, output_info, expected) | |
| { | |
| bool is_valid = bool(CLInstanceNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), | |
| &output_info.clone()->set_is_resizable(false) | |
| )); | |
| ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); | |
| } | |
| // clang-format on | |
| // *INDENT-ON* | |
| template <typename T> | |
| using CLInstanceNormalizationLayerFixture = InstanceNormalizationLayerValidationFixture<CLTensor, CLAccessor, CLInstanceNormalizationLayer, T>; | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLInstanceNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::Small4DShapes(), | |
| framework::dataset::make("DataType", DataType::F32)), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), | |
| framework::dataset::make("InPlace", { false, true }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32); | |
| } | |
| TEST_SUITE_END() // FP32 | |
| TEST_SUITE(FP16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLInstanceNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, | |
| combine(combine(combine(datasets::SmallShapes(), | |
| framework::dataset::make("DataType", DataType::F16)), | |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), | |
| framework::dataset::make("InPlace", { false, true }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16); | |
| } | |
| TEST_SUITE_END() // FP16 | |
| TEST_SUITE_END() // InstanceNormalizationLayer | |
| TEST_SUITE_END() // CL | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |