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

# Aliases:

• tf.compat.v2.device

 tf.device(device_name)

# Used in the guide:

• Eager execution
• Recurrent NeuralNetworks (RNN) withKeras``
• Use a GPU

# Used in the tutorials:

• Customization basics: tensors and operations`` 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 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.