tf.config.experimental.get_device_policy
Stay organized with collections
Save and categorize content based on your preferences.
Gets the current device policy.
tf.config.experimental.get_device_policy()
The device policy controls how operations requiring inputs on a specific
device (e.g., on GPU:0) handle inputs on a different device (e.g. GPU:1).
This function only gets the device policy for the current thread. Any
subsequently started thread will again use the default policy.
Returns |
|---|
|
Current thread device policy
|
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.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.config.experimental.get_device_policy\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/config/experimental/get_device_policy) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.0.0/tensorflow/python/framework/config.py#L189-L212) |\n\nGets the current device policy.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.config.experimental.get_device_policy`](/api_docs/python/tf/config/experimental/get_device_policy)\n\n\u003cbr /\u003e\n\n tf.config.experimental.get_device_policy()\n\nThe device policy controls how operations requiring inputs on a specific\ndevice (e.g., on GPU:0) handle inputs on a different device (e.g. GPU:1).\n\nThis function only gets the device policy for the current thread. Any\nsubsequently started thread will again use the default policy.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Current thread device policy ||\n\n\u003cbr /\u003e"]]
TensorFlow 1 version
View source on GitHub