/* Copyright 2016 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_CORE_DISTRIBUTED_RUNTIME_RPC_GRPC_REMOTE_WORKER_H_
#define TENSORFLOW_CORE_DISTRIBUTED_RUNTIME_RPC_GRPC_REMOTE_WORKER_H_

#include <memory>

#include "tensorflow/core/distributed_runtime/rpc/grpc_util.h"
#include "tensorflow/core/lib/core/threadpool.h"

namespace grpc {
class CompletionQueue;
}

namespace tensorflow {
class WorkerCacheLogger;
class WorkerInterface;

WorkerInterface* NewGrpcRemoteWorker(SharedGrpcChannelPtr channel,
                                     ::grpc::CompletionQueue* completion_queue,
                                     thread::ThreadPool* callback_threadpool,
                                     WorkerCacheLogger* logger);

}  // namespace tensorflow

#endif  // TENSORFLOW_CORE_DISTRIBUTED_RUNTIME_RPC_GRPC_REMOTE_WORKER_H_

/* Copyright 2016 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_CORE_DISTRIBUTED_RUNTIME_RPC_GRPC_REMOTE_WORKER_H_
#define TENSORFLOW_CORE_DISTRIBUTED_RUNTIME_RPC_GRPC_REMOTE_WORKER_H_

#include <memory>

#include "grpcpp/completion_queue.h"
#include "tensorflow/core/distributed_runtime/rpc/grpc_util.h"
#include "tensorflow/core/lib/core/threadpool.h"

namespace tensorflow {
class WorkerCacheLogger;
class WorkerInterface;

WorkerInterface* NewGrpcRemoteWorker(SharedGrpcChannelPtr channel,
                                     ::grpc::CompletionQueue* completion_queue,
                                     thread::ThreadPool* callback_threadpool,
                                     WorkerCacheLogger* logger);

}  // namespace tensorflow

#endif  // TENSORFLOW_CORE_DISTRIBUTED_RUNTIME_RPC_GRPC_REMOTE_WORKER_H_

Include what you use fixes.
Include what you use fixes.

Relying on transitive dependencies for what you are going to use is a bad idea because it can break on changes done by said transitive dependencies.
This CL adds necessary headers for accessing gRPC.

PiperOrigin-RevId: 240629991
