/* Copyright 2017 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 TENSORFLOW_COMPILER_XLA_SERVICE_GPU_COPY_THUNK_H_
#define TENSORFLOW_COMPILER_XLA_SERVICE_GPU_COPY_THUNK_H_

#include "tensorflow/compiler/xla/service/buffer_assignment.h"
#include "tensorflow/compiler/xla/service/gpu/buffer_allocations.h"
#include "tensorflow/compiler/xla/service/gpu/thunk.h"
#include "tensorflow/compiler/xla/service/hlo_instruction.h"
#include "tensorflow/core/platform/stream_executor_no_cuda.h"
#include "tensorflow/core/platform/types.h"

namespace xla {
namespace gpu {

// A thunk that copies data from a host buffer to a device buffer.
class HostToDeviceCopyThunk : public Thunk {
 public:
  // Constructs a CopyThunk that copies host data from `source_address` to the
  // device buffer `destination_buffer`. `mem_size` is the size of the data in
  // bytes.
  HostToDeviceCopyThunk(ThunkInfo thunk_info, const void* source_address,
                        const BufferAllocation::Slice& destination_buffer,
                        uint64 mem_size);

  HostToDeviceCopyThunk(const HostToDeviceCopyThunk&) = delete;
  HostToDeviceCopyThunk& operator=(const HostToDeviceCopyThunk&) = delete;

  Status ExecuteOnStream(const ExecuteParams& params) override;

 private:
  const void* source_address_;
  const BufferAllocation::Slice destination_buffer_;
  const uint64 mem_size_;
};

// A thunk that copies data from a device buffer to another device buffer.
class DeviceToDeviceCopyThunk : public Thunk {
 public:
  // Constructs a CopyThunk that copies host data from `source_buffer` to the
  // device buffer `destination_buffer`. `mem_size` is the size of the data in
  // bytes.
  DeviceToDeviceCopyThunk(ThunkInfo thunk_info,
                          const BufferAllocation::Slice& source_buffer,
                          const BufferAllocation::Slice& destination_buffer,
                          uint64 mem_size);

  DeviceToDeviceCopyThunk(const DeviceToDeviceCopyThunk&) = delete;
  DeviceToDeviceCopyThunk& operator=(const DeviceToDeviceCopyThunk&) = delete;

  Status ExecuteOnStream(const ExecuteParams& params) override;

 private:
  const BufferAllocation::Slice source_buffer_;
  const BufferAllocation::Slice destination_buffer_;
  const uint64 mem_size_;
};

}  // namespace gpu
}  // namespace xla

#endif  // TENSORFLOW_COMPILER_XLA_SERVICE_GPU_COPY_THUNK_H_
