/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_CORE_DISTRIBUTED_RUNTIME_WORKER_ENV_H_
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#define TENSORFLOW_CORE_DISTRIBUTED_RUNTIME_WORKER_ENV_H_
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#include <vector>
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#include "tensorflow/core/platform/types.h"
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namespace tensorflow {
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namespace thread {
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class ThreadPool;
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} // namespace thread
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class CollectiveExecutorMgrInterface;
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class Device;
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class DeviceMgr;
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class Env;
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class RendezvousMgrInterface;
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class SessionMgr;
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// The worker environment class, which holds a bag of pointers to
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// per-worker singletons.
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//
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// WorkerEnv does not own its member pointers.
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struct WorkerEnv {
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Env* env = nullptr;
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// session_mgr encapsulates state for each session.
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SessionMgr* session_mgr = nullptr;
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// The local devices of this worker. Devices are owned by the device_mgr.
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//
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// REQUIRES: !local_devices.empty().
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std::vector<Device*> local_devices;
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// device_mgr manages local devices (cpu and gpu). The WorkerService
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// is the network interface for managed devices.
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//
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// Note: Please use the device_mgr associated with your session if appropriate
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// instead of this one. Using this device_mgr does not support ClusterSpec
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// propagated sessions.
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DeviceMgr* device_mgr = nullptr;
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// A set of rendezvous keyed by step ids.
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RendezvousMgrInterface* rendezvous_mgr = nullptr;
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// Generates per-step CollectiveExecutors and has access to utilities
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// supporting collective operations.
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CollectiveExecutorMgrInterface* collective_executor_mgr = nullptr;
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// A pool of threads for scheduling compute work.
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thread::ThreadPool* compute_pool = nullptr;
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};
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} // end namespace tensorflow
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#endif // TENSORFLOW_CORE_DISTRIBUTED_RUNTIME_WORKER_ENV_H_
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