tf.device | TensorFlow v2.16.1 (original) (raw)

tf.device

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

tf.device(
    device_name
) -> ContextManager[None]

Used in the notebooks

Used in the guide	Used in the tutorials
NumPy API on TensorFlow Use a GPU Introduction to Variables Random number generation Use TPUs	Customization basics: tensors and operations Solve GLUE tasks using BERT on TPU

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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Last updated 2024-04-26 UTC.