tf.config.experimental.set_synchronous_execution

View source on GitHub

Specifies whether operations are executed synchronously or asynchronously.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.config.experimental.set_synchronous_execution, `tf.compat.v2.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.