class_docstr: Optimizer that implements the YellowFin algorithm.
  
  Implemented as a wrapper around tf.train.MomentumOptimizer
class_docstr_tok: ["Optimizer","that","implements","the","YellowFin","algorithm",".","Implemented","as","a","wrapper","around","tf.train.MomentumOptimizer"]
docstr: Return a list of the names of the slots created by the
  underlying MomentumOptimizer.
  
  Returns:
    A list of strings.
docstr_tok: ["Return","a","list","of","the","names","of","the","slots","created","by","the","underlying","MomentumOptimizer",".","Returns",":","A","list","of","strings","."]
code: def get_slot_names(self):
      """
      Return a list of the names of the slots created by the
      underlying MomentumOptimizer.
  
      Returns:
        A list of strings.
      """
      return self._optimizer.get_slot_names()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import delta.compat
  from tensorflow.python.framework import ops
label_desc: Use image node_id 16 for calling the YFOptimizer obj's underlying member method code with example usage: obj.get_slot_names() and returns: self