parameters: (self, data, labels, data_spec=None, epoch=None)
return_statement: return self.optimizer.minimize(self.training_loss(data, labels))
docstring: Returns the op that trains the hybrid model.
docstring_summary: Returns the op that trains the hybrid model.
docstring_tokens: Returns the op that trains the hybrid model .
function: def training_graph(self, data, labels, data_spec=None, epoch=None):
      """Returns the op that trains the hybrid model."""
      return self.optimizer.minimize(self.training_loss(data, labels))
function_tokens: def training_graph ( self , data , labels , data_spec = None , epoch = None ) : return self . optimizer . minimize ( self . training_loss ( data , labels ) )