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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_YOLOV2_BATCHNORMALIZATION_LAYER_DATASET
#define ARM_COMPUTE_TEST_YOLOV2_BATCHNORMALIZATION_LAYER_DATASET
#include "tests/datasets/BatchNormalizationLayerDataset.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 YOLOV2BatchNormalizationLayerDataset final : public BatchNormalizationLayerDataset
{
public:
YOLOV2BatchNormalizationLayerDataset()
{
// conv1_bn
add_config(TensorShape(416U, 416U, 32U), TensorShape(32U), 0.00001f);
// conv2_bn
add_config(TensorShape(208U, 208U, 64U), TensorShape(64U), 0.00001f);
// conv3_bn, conv5_bn
add_config(TensorShape(104U, 104U, 128U), TensorShape(128U), 0.00001f);
// conv4_bn
add_config(TensorShape(104U, 104U, 64U), TensorShape(64U), 0.00001f);
// conv6_bn, conv8_bn
add_config(TensorShape(52U, 52U, 256U), TensorShape(256U), 0.00001f);
// conv7_bn
add_config(TensorShape(52U, 52U, 128U), TensorShape(128U), 0.00001f);
// conv9_bn, conv11_bn, conv13_bn
add_config(TensorShape(26U, 26U, 512U), TensorShape(512U), 0.00001f);
// conv10_bn, conv12_bn
add_config(TensorShape(26U, 26U, 256U), TensorShape(256U), 0.00001f);
// conv14_bn, conv16_bn, conv18_bn, conv19_bn, conv20_bn, conv21_bn
add_config(TensorShape(13U, 13U, 1024U), TensorShape(1024U), 0.00001f);
// conv15_bn, conv17_bn
add_config(TensorShape(13U, 13U, 512U), TensorShape(512U), 0.00001f);
}
};
} // namespace datasets
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_YOLOV2_BATCHNORMALIZATION_LAYER_DATASET */
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