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/*
* Copyright (c) 2017 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.
*/
#ifndef ARM_COMPUTE_TEST_ALEXNET_CONVOLUTION_LAYER_DATASET
#define ARM_COMPUTE_TEST_ALEXNET_CONVOLUTION_LAYER_DATASET
#include "tests/datasets/ConvolutionLayerDataset.h"
#include "utils/TypePrinter.h"
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
namespace test
{
namespace datasets
{
class AlexNetWinogradLayerDataset final : public ConvolutionLayerDataset
{
public:
AlexNetWinogradLayerDataset()
{
add_config(TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U), PadStrideInfo(1, 1, 1, 1));
add_config(TensorShape(13U, 13U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(13U, 13U, 192U), PadStrideInfo(1, 1, 1, 1));
add_config(TensorShape(13U, 13U, 192U), TensorShape(3U, 3U, 192U, 128U), TensorShape(128U), TensorShape(13U, 13U, 128U), PadStrideInfo(1, 1, 1, 1));
}
};
class AlexNetConvolutionLayerDataset final : public ConvolutionLayerDataset
{
public:
AlexNetConvolutionLayerDataset()
{
add_config(TensorShape(227U, 227U, 3U), TensorShape(11U, 11U, 3U, 96U), TensorShape(96U), TensorShape(55U, 55U, 96U), PadStrideInfo(4, 4, 0, 0));
add_config(TensorShape(27U, 27U, 48U), TensorShape(5U, 5U, 48U, 128U), TensorShape(128U), TensorShape(27U, 27U, 128U), PadStrideInfo(1, 1, 2, 2));
add_config(TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U), PadStrideInfo(1, 1, 1, 1));
add_config(TensorShape(13U, 13U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(13U, 13U, 192U), PadStrideInfo(1, 1, 1, 1));
add_config(TensorShape(13U, 13U, 192U), TensorShape(3U, 3U, 192U, 128U), TensorShape(128U), TensorShape(13U, 13U, 128U), PadStrideInfo(1, 1, 1, 1));
}
};
class AlexNetDirectConvolutionLayerDataset final : public ConvolutionLayerDataset
{
public:
AlexNetDirectConvolutionLayerDataset()
{
add_config(TensorShape(27U, 27U, 48U), TensorShape(5U, 5U, 48U, 128U), TensorShape(128U), TensorShape(27U, 27U, 128U), PadStrideInfo(1, 1, 2, 2));
add_config(TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U), PadStrideInfo(1, 1, 1, 1));
add_config(TensorShape(13U, 13U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(13U, 13U, 192U), PadStrideInfo(1, 1, 1, 1));
add_config(TensorShape(13U, 13U, 192U), TensorShape(3U, 3U, 192U, 128U), TensorShape(128U), TensorShape(13U, 13U, 128U), PadStrideInfo(1, 1, 1, 1));
}
};
} // namespace datasets
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_ALEXNET_CONVOLUTION_LAYER_DATASET */
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