/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.

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. */

#pragma once

#include "paddle/fluid/platform/gpu_info.h"
#include "paddle/fluid/platform/place.h"

namespace paddle {
namespace memory {

/**
 * \brief   Copy memory from one place to another place.
 *
 * \param[in]  DstPlace Destination allocation place (CPU).
 * \param[in]  dst      Destination memory address.
 * \param[in]  SrcPlace Source allocation place (CPU).
 * \param[in]  src      Source memory address.
 * \param[in]  num      memory size in bytes to copy.
 *
 */
template <typename DstPlace, typename SrcPlace>
void Copy(DstPlace, void* dst, SrcPlace, const void* src, size_t num);

#ifdef PADDLE_WITH_CUDA

/**
 * \brief   Copy memory from one place to another place.
 *
 * \param[in]  DstPlace Destination allocation place (CPU or GPU).
 * \param[in]  dst      Destination memory address.
 * \param[in]  SrcPlace Source allocation place (CPU or GPU).
 * \param[in]  src      Source memory address.
 * \param[in]  num      memory size in bytes to copy.
 * \param[in]  stream   CUDA stream.
 *
 * \note    For GPU memory copy, CUDA stream need to be specified
 *          for asynchronously memory copy.
 *
 */
template <typename DstPlace, typename SrcPlace>
void Copy(DstPlace, void* dst, SrcPlace, const void* src, size_t num,
          cudaStream_t stream);

#endif
}  // namespace memory
}  // namespace paddle