91 lines
4.7 KiB
C++
91 lines
4.7 KiB
C++
/*
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* Copyright (c) 2017-2019 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/GCDepthwiseConvolutionLayer.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/DepthwiseConvolutionLayerDataset.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/DepthwiseConvolutionLayerFixture.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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RelativeTolerance<half> tolerance_fp16(half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
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constexpr float tolerance_num = 0.07f; /**< Tolerance number */
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const auto depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 3 });
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//Activation Functions
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const auto ActivationFunctionsEmptyDataset = framework::dataset::make("ActivationInfo",
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{ ActivationLayerInfo() });
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} // namespace
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TEST_SUITE(GC)
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TEST_SUITE(DepthwiseConvolutionLayer)
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template <typename T>
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using GCDepthwiseConvolutionLayerFixture3x3 = DepthwiseConvolutionLayerValidationFixture<GCTensor, GCAccessor, GCDepthwiseConvolutionLayer3x3, T>;
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TEST_SUITE(Float)
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TEST_SUITE(FP16)
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TEST_SUITE(W3x3)
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FIXTURE_DATA_TEST_CASE(RunSmall, GCDepthwiseConvolutionLayerFixture3x3<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
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depth_multipliers),
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framework::dataset::make("DataType",
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DataType::F16)),
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framework::dataset::make("DataLayout", DataLayout::NCHW)),
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ActivationFunctionsEmptyDataset))
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{
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validate(GCAccessor(_target), _reference, tolerance_fp16, tolerance_num);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, GCDepthwiseConvolutionLayerFixture3x3<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
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depth_multipliers),
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framework::dataset::make("DataType",
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DataType::F16)),
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framework::dataset::make("DataLayout", DataLayout::NCHW)),
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ActivationFunctionsEmptyDataset))
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{
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validate(GCAccessor(_target), _reference, tolerance_fp16, tolerance_num);
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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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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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