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/*
* Copyright (c) 2017-2018 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/GCDirectConvolutionLayer.h"
#include "tests/GLES_COMPUTE/GCAccessor.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/DirectConvolutionLayerTensorShiftFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
RelativeTolerance<half> tolerance_fp16(half(0.2)); /**< Tolerance for floating point tests */
RelativeTolerance<float> tolerance_fp32(0.02f); /**< Tolerance for floating point tests */
constexpr float tolerance_num = 0.07f; /**< Tolerance number */
constexpr float abs_tolerance_fp32(0.02f); /**< Absolute tolerance for floating point tests */
/** Direct convolution data set. */
const auto data = combine(datasets::SmallDirectConvolutionTensorShiftShapes(),
combine(framework::dataset::make("StrideX", 1, 3),
combine(framework::dataset::make("StrideY", 1, 3),
combine(concat(combine(framework::dataset::make("PadX", 0),
combine(framework::dataset::make("PadY", 0),
framework::dataset::make("KernelSize", 1))),
combine(framework::dataset::make("PadX", 0, 2),
combine(framework::dataset::make("PadY", 0, 2),
framework::dataset::make("KernelSize", { 3, 5 })))),
framework::dataset::make("NumKernels", { 3 })))));
} // namespace
TEST_SUITE(GC)
TEST_SUITE(DirectConvolutionLayerTensorShift)
template <typename T>
using GCDirectConvolutionLayerTensorShiftFixture = DirectConvolutionValidationTensorShiftFixture<GCTensor, GCAccessor, GCDirectConvolutionLayer, T>;
TEST_SUITE(Float)
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerTensorShiftFixture<half_float::half>, framework::DatasetMode::ALL, combine(data, framework::dataset::make("DataType", DataType::F16)))
{
// Validate output
validate(GCAccessor(_target), _reference, tolerance_fp16, tolerance_num);
}
TEST_SUITE_END()
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerTensorShiftFixture<float>, framework::DatasetMode::ALL, combine(data, framework::dataset::make("DataType", DataType::F32)))
{
// Validate output
validate(GCAccessor(_target), _reference, tolerance_fp32, 0.f, abs_tolerance_fp32);
}
TEST_SUITE_END()
TEST_SUITE_END()
TEST_SUITE_END()
TEST_SUITE_END()
} // namespace validation
} // namespace test
} // namespace arm_compute
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