# tf.config.experimental.set_synchronous_execution

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/framework/config.py#L388-L410) |

Specifies whether operations are executed synchronously or asynchronously.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.config.experimental.set_synchronous_execution`](https://www.tensorflow.org/api_docs/python/tf/config/experimental/set_synchronous_execution)

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    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.

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| ## Args ||
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| `enable` | Whether operations should be dispatched synchronously. Valid values: <br /> - None: sets the system default. - True: executes each operation synchronously. - False: executes each operation asynchronously. |