class_docstr: Base class for input data adapters.
  
  The purpose of a DataAdapter is to provide a unfied interface to
  iterate over input data provided in a variety of formats -- such as
  NumPy arrays, tf.Tensors, tf.data.Datasets, Keras PyDatasets, etc.
docstr: Get a Python iterable for the DataAdapter, that yields NumPy arrays.
  
  Returns:
      A Python iterator.
docstr_tok: ["Get","a","Python","iterable","for","the","DataAdapter",",","that","yields","NumPy","arrays",".","Returns",":","A","Python","iterator","."]
code: def get_numpy_iterator(self):
      """Get a Python iterable for the DataAdapter, that yields NumPy arrays.
  
      Returns:
          A Python iterator.
      """
      raise NotImplementedError
  
file_path: keras/keras/trainers/data_adapters/data_adapter.py
label_desc: Use image node_id 1 for calling the DataAdapter obj's underlying member method code with example usage: obj.get_numpy_iterator() without return types