code: def _create_device_dataset(
      prototype_ds,
      incarnation_id,
      prefetch_buffer_size,
      experimental_slack,
  ):
      """Uses _prototype_device_datasets[i] to build a dataset for the device."""
      ds = _ReincarnatedPerDeviceGenerator(prototype_ds, incarnation_id)
      if prefetch_buffer_size > 0:
          if experimental_slack:
              ds = prefetch_op._PrefetchDataset(  # pylint: disable=protected-access
                  ds, prefetch_buffer_size, slack_period=1
              )
          else:
              ds = ds.prefetch(prefetch_buffer_size)
      return ds
  
imports: from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import iterator_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.data.ops import prefetch_op
  from tensorflow.python.data.util import structure
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import type_spec
  from tensorflow.python.framework import type_utils
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import functional_ops
  from tensorflow.python.ops import gen_dataset_ops
  from tensorflow.python.ops import resource_variable_ops
label_desc: Use image node_id 1 for calling a global function with example usage: _create_device_dataset(prototype_ds, incarnation_id, prefetch_buffer_size, experimental_slack) and returns: ds