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"]
code: def get_mu_tensor(self):
      root = self.get_cubic_root()
      dr = tf.maximum(
          (self._h_max + EPS) / (self._h_min + EPS), 1.0 + EPS
      )
      mu = tf.maximum(
          root**2, ((tf.sqrt(dr) - 1) / (tf.sqrt(dr) + 1)) ** 2
      )
      return mu
  
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 9 for calling the YFOptimizer obj's underlying member method code with example usage: obj.get_mu_tensor() and returns: mu