text: // Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
  //
  // Redistribution and use in source and binary forms, with or without
  // modification, are permitted provided that the following conditions
  // are met:
  //  * Redistributions of source code must retain the above copyright
  //    notice, this list of conditions and the following disclaimer.
  //  * Redistributions in binary form must reproduce the above copyright
  //    notice, this list of conditions and the following disclaimer in the
  //    documentation and/or other materials provided with the distribution.
  //  * Neither the name of NVIDIA CORPORATION nor the names of its
  //    contributors may be used to endorse or promote products derived
  //    from this software without specific prior written permission.
  //
  // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
  // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
  // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
  // PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
  // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
  // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
  // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
  // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
  // OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
  // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
  // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  #pragma once
  
  #include "src/core/status.h"
  
  #ifdef TRTIS_ENABLE_GPU
  #include <cuda_runtime_api.h>
  #endif  // TRTIS_ENABLE_GPU
  
  namespace nvidia { namespace inferenceserver {
  
  #ifndef TRTIS_ENABLE_GPU
  using cudaStream_t = void*;
  #endif  // TRTIS_ENABLE_GPU
  
  /// Enable peer access for all GPU device pairs
  /// \return The error status. A non-OK status means not all pairs are enabled
  Status EnablePeerAccess();
  
  /// Copy buffer from 'src' to 'dst' for given 'byte_size'. The buffer location
  /// is identified by the memory type and id, and the corresponding copy will be
  /// initiated.
  /// 'msg' is the message to be prepended in error message.
  /// 'cuda_stream' specifies the stream to be associated with, and 0 can be
  /// passed for default stream.
  /// 'cuda_used' returns whether a CUDA memory copy is initiated. If true,
  /// the caller should synchronize on the given 'cuda_stream' to ensure data copy
  /// is completed.
  /// \return The error status.
  Status CopyBuffer(
      const std::string& msg, const TRTSERVER_Memory_Type src_memory_type,
      const int64_t src_memory_type_id,
      const TRTSERVER_Memory_Type dst_memory_type,
      const int64_t dst_memory_type_id, const size_t byte_size, const void* src,
      void* dst, cudaStream_t cuda_stream, bool* cuda_used);
  
  }}  // namespace nvidia::inferenceserver
  