class_docstr: Step with a standard implementation of input handling.
  
  Args:
    dataset_fn: a function that returns a tf.data Dataset that produces the
      input for the model.
code: def __init__(self, dataset_fn, distribution):
      super(StandardInputStep, self).__init__(distribution)
      self._iterator = distribution.make_input_fn_iterator(
          lambda _: dataset_fn()
      )
  
file_path: tensorflow/tensorflow/python/distribute/step_fn.py
imports: from tensorflow.python.eager import backprop
  from tensorflow.python.training import optimizer
label_desc: Use image node_id 1 to create a new StandardInputStep object from inherited base classes: Step with example: obj = StandardInputStep(dataset_fn, distribution)