class_docstr: Distributed iterator for `ClusterCoordinator`.
class_docstr_tok: ["Distributed","iterator","for","`","ClusterCoordinator","`","."]
docstr: Returns the next input from the iterator for all replicas.
docstr_tok: ["Returns","the","next","input","from","the","iterator","for","all","replicas","."]
code: def get_next(self, name=None):
      """Returns the next input from the iterator for all replicas."""
      raise NotImplementedError(
          "Iterating over an `AsyncDistributedIterator` "
          "is not supported right now."
      )
  
imports: import threading
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops.options import ExternalStatePolicy
  from tensorflow.python.distribute import input_lib
  from tensorflow.python.distribute.coordinator import remote_value
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import function
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import type_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_dataset_ops
  from tensorflow.python.ops import gen_experimental_dataset_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.util import nest
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 2 for calling the PerWorkerDistributedIterator obj's underlying member method code with example usage: obj.get_next(name) without return types