tf.compat.v1.train.SessionRunArgs

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

tf.compat.v1.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`	A `namedtuple` alias for field number 0
`feed_dict`	A `namedtuple` alias for field number 1
`options`	A `namedtuple` alias for field number 2

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. Some content is licensed under the numpy license.

Last updated 2024-04-26 UTC.

Args