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 compute_gradients(
      self,
      loss,
      var_list=None,
      gate_gradients=GATE_OP,
      aggregation_method=None,
      colocate_gradients_with_ops=False,
      grad_loss=None,
  ):
      return self._optimizer.compute_gradients(
          loss,
          var_list=var_list,
          gate_gradients=gate_gradients,
          aggregation_method=aggregation_method,
          colocate_gradients_with_ops=colocate_gradients_with_ops,
          grad_loss=grad_loss,
      )
  
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 13 for calling the YFOptimizer obj's underlying member method code with example usage: obj.compute_gradients(loss, var_list, gate_gradients, aggregation_method, colocate_gradients_with_ops, grad_loss) and returns: self