72 lines
3.6 KiB
C++
72 lines
3.6 KiB
C++
/*
|
|
* 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.
|
|
*/
|
|
#ifndef ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_POOLING_LAYER_DATASET
|
|
#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_POOLING_LAYER_DATASET
|
|
|
|
#include "tests/datasets/PoolingLayerDataset.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 GoogLeNetInceptionV1PoolingLayerDataset final : public PoolingLayerDataset
|
|
{
|
|
public:
|
|
GoogLeNetInceptionV1PoolingLayerDataset()
|
|
{
|
|
// FIXME: Add support for 7x7 pooling layer pool5/7x7_s1
|
|
// pool1/3x3_s2
|
|
add_config(TensorShape(112U, 112U, 64U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
|
|
// pool2/3x3_s2
|
|
add_config(TensorShape(56U, 56U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
|
|
// inception_3a/pool
|
|
add_config(TensorShape(28U, 28U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
|
|
// inception_3b/pool
|
|
add_config(TensorShape(28U, 28U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
|
|
// pool3/3x3_s2
|
|
add_config(TensorShape(28U, 28U, 480U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
|
|
// inception_4a/pool
|
|
add_config(TensorShape(14U, 14U, 480U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
|
|
// inception_4b/pool, inception_4c/pool, inception_4d/pool
|
|
add_config(TensorShape(14U, 14U, 512U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
|
|
// inception_4e/pool
|
|
add_config(TensorShape(14U, 14U, 528U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
|
|
// pool4/3x3_s2
|
|
add_config(TensorShape(14U, 14U, 832U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
|
|
// inception_5a/pool, inception_5b/pool
|
|
add_config(TensorShape(7U, 7U, 832U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
|
|
}
|
|
};
|
|
} // namespace datasets
|
|
} // namespace test
|
|
} // namespace arm_compute
|
|
#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_POOLING_LAYER_DATASET */
|