93 lines
4.1 KiB
C++
93 lines
4.1 KiB
C++
/*
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* Copyright (c) 2017-2020 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/GLES_COMPUTE/GCTensor.h"
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#include "arm_compute/runtime/GLES_COMPUTE/GCTensorAllocator.h"
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#include "arm_compute/runtime/GLES_COMPUTE/functions/GCBatchNormalizationLayer.h"
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#include "tests/GLES_COMPUTE/GCAccessor.h"
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#include "tests/PaddingCalculator.h"
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#include "tests/datasets/RandomBatchNormalizationLayerDataset.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/Helpers.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/BatchNormalizationLayerFixture.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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constexpr AbsoluteTolerance<float> tolerance_f(0.00001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
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constexpr AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
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const auto act_infos = framework::dataset::make("ActivationInfo",
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{
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 8.f, 2.f),
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});
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const auto data_GB = combine(framework::dataset::make("UseGamma", { false, true }),
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framework::dataset::make("UseBeta", { false, true }));
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const auto data_f16 = combine(combine(combine(data_GB, act_infos), framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW }));
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const auto data_f32 = combine(combine(combine(data_GB, act_infos), framework::dataset::make("DataType", DataType::F32)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW }));
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} // namespace
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TEST_SUITE(GC)
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TEST_SUITE(BatchNormalizationLayer)
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template <typename T>
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using GCBatchNormalizationLayerFixture = BatchNormalizationLayerValidationFixture<GCTensor, GCAccessor, GCBatchNormalizationLayer, T>;
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TEST_SUITE(Float)
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TEST_SUITE(FP16)
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FIXTURE_DATA_TEST_CASE(Random, GCBatchNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallRandomBatchNormalizationLayerDataset(), data_f16))
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{
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// Validate output
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validate(GCAccessor(_target), _reference, tolerance_f16, 0);
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}
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TEST_SUITE_END()
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TEST_SUITE(FP32)
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FIXTURE_DATA_TEST_CASE(Random, GCBatchNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::LargeRandomBatchNormalizationLayerDataset(), data_f32))
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{
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// Validate output
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validate(GCAccessor(_target), _reference, tolerance_f, 0);
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}
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TEST_SUITE_END()
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TEST_SUITE_END()
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TEST_SUITE_END()
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TEST_SUITE_END()
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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