class_docstr: Iterator for a single tensor-returning callable.
class_docstr_tok: ["Iterator","for","a","single","tensor-returning","callable","."]
code: def __init__(self, fn, worker, devices):
      self._fn = fn
      self._worker = worker
      self._devices = devices
  
imports: from tensorflow.python.data.experimental.ops import cardinality
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import multi_device_iterator_ops
  from tensorflow.python.data.ops import optional_ops
  from tensorflow.python.distribute import input_lib
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.types import data
  from tensorflow.python.util.deprecation import deprecated
label_desc: Use image node_id 1 to create a new _SingleWorkerCallableIterator object from inherited base classes: object with example: obj = _SingleWorkerCallableIterator(fn, worker, devices)