tf.train.SessionRunArgs
tf.train.SessionRunArgs
class tf.train.SessionRunArgs
Defined in tensorflow/python/training/session_run_hook.py
.
See the guide: Training > Training Hooks
Represents arguments to be added to a Session.run()
call.
Args:
-
fetches
: Exactly like the 'fetches' argument to Session.Run(). Can be a single tensor or op, a list of 'fetches' or a dictionary of fetches. For example: fetches = global_step_tensor fetches = [train_op, summary_op, global_step_tensor] fetches = {'step': global_step_tensor, 'summ': summary_op} Note that this can recurse as expected: fetches = {'step': global_step_tensor, 'ops': [train_op, check_nan_op]} -
feed_dict
: Exactly like thefeed_dict
argument toSession.Run()
-
options
: Exactly like theoptions
argument toSession.run()
, i.e., a config_pb2.RunOptions proto.
Properties
feed_dict
Alias for field number 1
fetches
Alias for field number 0
options
Alias for field number 2
Methods
__new__
__new__( cls, fetches, feed_dict=None, options=None )
© 2017 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/SessionRunArgs