class_docstr: Input Iterator for a distributed dataset.
class_docstr_tok: ["Input","Iterator","for","a","distributed","dataset","."]
code: def _initializer(self):
      init_ops = []
      for it in self._iterators:
          init_ops.extend(it.initialize())
      return control_flow_ops.group(init_ops)
  
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 for calling the DistributedIteratorV1 obj's underlying member method code with example usage: obj._initializer() and returns: control_flow_ops