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tf.device

Specifies the device for ops created/executed in this context.

This function specifies the device to be used for ops created/executed in a particular context. Nested contexts will inherit and also create/execute their ops on the specified device. If a specific device is not required, consider not using this function so that a device can be automatically assigned. In general the use of this function is optional. device_name can be fully specified, as in "/job:worker/task:1/device:cpu:0", or partially specified, containing only a subset of the "/"-separated fields. Any fields which are specified will override device annotations from outer scopes.

For example:

with tf.device('/job:foo'):
  # ops created here have devices with /job:foo
  with tf.device('/job:bar/task:0/device:gpu:2'):
    # ops created here have the fully specified device above
  with tf.device('/device:gpu:1'):
    # ops created here have the device '/job:foo/device:gpu:1'
Args
device_name The device name to use in the context.
Returns
A context manager that specifies the default device to use for newly created ops.
Raises
RuntimeError If a function is passed in.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/device