46 lines
1.9 KiB
C++
46 lines
1.9 KiB
C++
/* Copyright 2020 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_C_EAGER_immediate_execution_distributed_manager_H_
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#define TENSORFLOW_C_EAGER_immediate_execution_distributed_manager_H_
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#include "tensorflow/core/platform/status.h"
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namespace tensorflow {
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class ImmediateExecutionContext;
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class ServerDef;
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class ImmediateExecutionDistributedManager {
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public:
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virtual ~ImmediateExecutionDistributedManager() {}
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// Set up distributed execution environment on local and remote tasks.
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// When `reset_context` is true, initialize new cluster context state based on
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// cluster configurations provided in `server_def`; otherwise, update existing
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// context state with the provided `server_def`.
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// Contexts created on remote tasks will be considered stale and garbage
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// collected after `keep_alive_secs` of inactivity.
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virtual Status SetOrUpdateServerDef(const ServerDef& server_def,
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bool reset_context,
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int keep_alive_secs) = 0;
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// Check if the remote task is alive.
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virtual Status CheckRemoteAlive(const std::string& remote_task_name,
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bool* is_alive) = 0;
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};
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} // namespace tensorflow
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#endif // TENSORFLOW_C_EAGER_immediate_execution_distributed_manager_H_
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