tf.train.SessionRunContext

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Class SessionRunContext

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

Aliases:

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.

__init__

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__init__(
    original_args,
    session
)

Initializes SessionRunContext.

Properties

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).

Returns:

A SessionRunArgs object

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

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request_stop()

Sets stop requested field.

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