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/*
* Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef __ONERT_BACKEND_GPU_CL_OPENCL_SELECTORS_SIMPLE_SELECTORS_H__
#define __ONERT_BACKEND_GPU_CL_OPENCL_SELECTORS_SIMPLE_SELECTORS_H__
#include <memory>
#include "open_cl/ClDevice.h"
#include "open_cl/kernels/GpuOperation.h"
#include "open_cl/Operations.h"
#include "open_cl/Shape.h"
namespace onert
{
namespace backend
{
namespace gpu_cl
{
void SelectAdd(const OperationDef &op_def, const std::vector<int> &channels, int dst_channels,
std::unique_ptr<GPUOperation> *ptr);
std::unique_ptr<GPUOperation>
SelectDWConvolutionDynamicWeights(const DepthwiseConvolution2DAttributes &attr,
const DeviceInfo &device_info, const OperationDef &op_def);
std::unique_ptr<GPUOperation> SelectPooling(const Pooling2DAttributes &attr,
const OperationDef &op_def);
std::unique_ptr<GPUOperation> SelectReLU(const ReLUAttributes &attr, const OperationDef &op_def);
void SelectReshape(int src_channels, int dst_channels, const OperationDef &op_def,
std::unique_ptr<GPUOperation> *ptr);
void SelectSoftmax(const BHWC &shape, const OperationDef &op_def,
std::unique_ptr<GPUOperation> *ptr);
} // namespace gpu_cl
} // namespace backend
} // namespace onert
#endif // __ONERT_BACKEND_GPU_CL_OPENCL_SELECTORS_SIMPLE_SELECTORS_H__
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