tf.train.SessionRunArgs

Represents arguments to be added to a Session.run() call.

Main aliases

tf.estimator.SessionRunArgs

Compat aliases for migration

See Migration guide for more details.

tf.train.SessionRunArgs(
    fetches, feed_dict=None, options=None
)

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.

Attributes

fetches

feed_dict

options

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2020-10-01 UTC.