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