tf.config.experimental.set_synchronous_execution

Specifies whether operations are executed synchronously or asynchronously.

Compat aliases for migration

tf.compat.v1.config.experimental.set_synchronous_execution

tf.config.experimental.set_synchronous_execution(
    enable
)

TensorFlow can execute operations synchronously or asynchronously. If asynchronous execution is enabled, operations may return "non-ready" handles.

When enable is set to None, an appropriate value will be picked automatically. The value picked may change between TensorFlow releases.

Args
`enable`	Whether operations should be dispatched synchronously. Valid values: None: sets the system default. True: executes each operation synchronously. False: executes each operation asynchronously.

Args

enable

Whether operations should be dispatched synchronously. Valid values:

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 2022-11-04 UTC.