tf.device

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

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'

device_name The device name to use in the context.

A context manager that specifies the default device to use for newly created ops.

RuntimeError If a function is passed in.