class_docstr: Optimizer that implements the YellowFin algorithm.
  
  See [Zhang et. al., 2017](https://arxiv.org/abs/1706.03471) for details.
docstr: Get the min mu which minimize the surrogate.
  
  Returns:
    The mu_t.
docstr_tok: ["Get","the","min","mu","which","minimize","the","surrogate",".","Returns",":","The","mu_t","."]
code: def _get_mu_tensor(self):
      """Get the min mu which minimize the surrogate.
  
      Returns:
        The mu_t.
      """
      root = self._get_cubic_root()
      dr = self._h_max / self._h_min
      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 tensorflow.compat.v1
label_desc: Use image node_id 9 for calling the YellowFinOptimizer obj's underlying member method code with example usage: obj._get_mu_tensor() and returns: mu