tf.train.SessionRunContext

class tf.train.SessionRunContext

See the guide: Training > Training Hooks

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.

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

__init__(original_args, session)

Initializes SessionRunContext.

request_stop()

Sets stop requested field.

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

Defined in tensorflow/python/training/session_run_hook.py.