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tf.train.SessionRunContext

Provides information about the session.run() call being made.

Provides information about original request to Session.Run() function. SessionRunHook objects can stop the loop by calling request_stop() of run_context. In the future we may use this object to add more information about run without changing the Hook API.

Attributes
original_args A SessionRunArgs object holding the original arguments of run().

If user called MonitoredSession.run(fetches=a, feed_dict=b), then this field is equal to SessionRunArgs(a, b).

session A TensorFlow session object which will execute the run.
stop_requested Returns whether a stop is requested or not.

If true, MonitoredSession stops iterations. Returns: A bool

Methods

request_stop

View source

Sets stop requested field.

Hooks can use this function to request stop of iterations. MonitoredSession checks whether this is called or not.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/train/SessionRunContext