class_docstr: Iterator over a dataset with elements converted to numpy.
  
  Note: This iterator returns read-only numpy arrays.
  
  This iterator (compared to `tf.data.Dataset.as_numpy_iterator()`) does not
  copy the data when comverting `tf.Tensor`s to `np.ndarray`s.
  
  TODO(b/178684359): Remove this when it is upstreamed into `tf.data`.
code: def __iter__(self) -> "NumpyIterator":
      return self
  
file_path: acme/acme/datasets/numpy_iterator.py
imports: from typing import Iterator
  from acme import types
  import numpy
  import tree
label_desc: Use image node_id 2 for calling the NumpyIterator obj's underlying member method code with example usage: obj.__iter__() and returns: self