/* 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_REMOTE_DEVICE_H_
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#define TENSORFLOW_CORE_DISTRIBUTED_RUNTIME_REMOTE_DEVICE_H_
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#include <functional>
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#include <string>
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#include <vector>
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#include "tensorflow/core/lib/core/status.h"
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namespace tensorflow {
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class Device;
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class Env;
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class WorkerCacheInterface;
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// NewRemoteDevices discovers available devices on the
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// 'remote_worker'. The implementation uses 'channel_cache' to
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// discover how to communicate with the 'remote_worker' (via gRPC, for
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// example).
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//
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// NewRemoteDevices does not block.
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//
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// On success, the 'done' callback is given the OK status and a vector
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// of Device*. The caller should take ownership of these devices.
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//
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// Otherwise, the 'done' callback is given an error status and the
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// vector is empty.
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typedef std::function<void(const Status&, std::vector<Device*>*)>
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NewRemoteDevicesDone;
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void NewRemoteDevices(Env* env, WorkerCacheInterface* worker_cache,
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const string& remote_worker, NewRemoteDevicesDone done);
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} // namespace tensorflow
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#endif // TENSORFLOW_CORE_DISTRIBUTED_RUNTIME_REMOTE_DEVICE_H_
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