StepContext
tf.train.MonitoredSession.StepContext
tf.train.SingularMonitoredSession.StepContext
Defined in tensorflow/python/training/monitored_session.py
.
Control flow instrument for the step_fn
from run_step_fn()
.
Users of step_fn
may perform run()
calls without running hooks by accessing the session
. A run()
call with hooks may be performed using run_with_hooks()
. Computation flow can be interrupted using request_stop()
.
session
__init__
__init__( session, run_with_hooks_fn )
Initializes the step_context
argument for a step_fn
invocation.
session
: An instance of tf.Session
.run_with_hooks_fn
: A function for running fetches and hooks.request_stop
request_stop()
Exit the training loop by causing should_stop()
to return True
.
Causes step_fn
to exit by raising an exception.
StopIteration
run_with_hooks
run_with_hooks( *args, **kwargs )
Same as MonitoredSession.run
. Accepts the same arguments.
© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/train/MonitoredSession/StepContext