text: /*
   * Copyright 2020 The TensorFlow Runtime Authors
   *
   * 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.
   */
  
  //===- gpu_op_handler.h -----------------------------------------*- C++ -*-===//
  //
  // This file declares CreateGpuOpHandler, which creates GpuOpHandler,
  // responsible for executing ops on GPU.
  //
  //===----------------------------------------------------------------------===//
  
  #ifndef TFRT_BACKENDS_GPU_CORE_RUNTIME_GPU_OP_HANDLER_H_
  #define TFRT_BACKENDS_GPU_CORE_RUNTIME_GPU_OP_HANDLER_H_
  
  #include <memory>
  
  #include "tfrt/core_runtime/op_handler.h"
  #include "tfrt/support/ref_count.h"
  
  namespace tfrt {
  class GpuDevice;
  
  llvm::Expected<OpHandler*> CreateGpuOpHandler(CoreRuntime* runtime,
                                                RCReference<GpuDevice> device,
                                                OpHandler* fallback);
  
  }  // namespace tfrt
  
  #endif  // TFRT_BACKENDS_GPU_CORE_RUNTIME_GPU_OP_HANDLER_H_
  