121 lines
6.5 KiB
C++
121 lines
6.5 KiB
C++
/*
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* Copyright (c) 2019-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/CL/CLTensor.h"
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#include "arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h"
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#include "arm_compute/runtime/TensorAllocator.h"
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#include "tests/CL/CLAccessor.h"
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#include "tests/PaddingCalculator.h"
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#include "tests/datasets/ShapeDatasets.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Macros.h"
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#include "tests/framework/datasets/Datasets.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/InstanceNormalizationLayerFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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namespace
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{
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/** Tolerance for float operations */
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AbsoluteTolerance<float> tolerance_f32(0.0015f);
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AbsoluteTolerance<float> tolerance_f16(0.5f);
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} // namespace
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TEST_SUITE(CL)
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TEST_SUITE(InstanceNormalizationLayer)
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// *INDENT-OFF*
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// clang-format off
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DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
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framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching data type input/output
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching shape input/output
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 2, DataType::F32), // Number of Input channels != 1
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), // DataType != F32
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NCHW),
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32)
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}),
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framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F16),
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TensorInfo(TensorShape(256U, 64U, 32U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16),
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NCHW),
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32)
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})),
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framework::dataset::make("Expected", { false, false, false, false, true, true, true, true, true, true })),
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input_info, output_info, expected)
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{
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bool is_valid = bool(CLInstanceNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false),
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&output_info.clone()->set_is_resizable(false)
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));
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ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
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}
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// clang-format on
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// *INDENT-ON*
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template <typename T>
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using CLInstanceNormalizationLayerFixture = InstanceNormalizationLayerValidationFixture<CLTensor, CLAccessor, CLInstanceNormalizationLayer, T>;
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TEST_SUITE(FP32)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLInstanceNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(datasets::Small4DShapes(),
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framework::dataset::make("DataType", DataType::F32)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
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framework::dataset::make("InPlace", { false, true })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_f32);
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}
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TEST_SUITE_END() // FP32
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TEST_SUITE(FP16)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLInstanceNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(datasets::SmallShapes(),
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framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
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framework::dataset::make("InPlace", { false, true })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_f16);
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}
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TEST_SUITE_END() // FP16
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TEST_SUITE_END() // InstanceNormalizationLayer
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TEST_SUITE_END() // CL
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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