class_docstr: Implementation of OneDeviceStrategy.
class_docstr_tok: ["Implementation","of","OneDeviceStrategy","."]
docstr: Whether this strategy indicates working in multi-worker settings.
docstr_tok: ["Whether","this","strategy","indicates","working","in","multi-worker","settings","."]
code: def _in_multi_worker_mode(self):
      """Whether this strategy indicates working in multi-worker settings."""
      return False
  
imports: from tensorflow.python.distribute import device_util
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import distribute_utils
  from tensorflow.python.distribute import input_lib
  from tensorflow.python.distribute import input_util
  from tensorflow.python.distribute import numpy_dataset
  from tensorflow.python.distribute.v1 import input_lib
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import while_loop
  from tensorflow.python.util import nest
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 22 for calling the OneDeviceExtended obj's underlying member method code with example usage: obj._in_multi_worker_mode() and returns: False