tf.train.SessionRunArgs

class tf.train.SessionRunArgs

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 the feed_dict argument to Session.Run()
• options: Exactly like the options argument to Session.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

Class Members

__init__

count

index

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