  
          Parameters
          ----------
          var_dtype: str
              The data type to to set up weight decau for
  
          Returns
          -------
          Tensor
              The weight decay variable
 
</s> remove         The weights of an optimizer are its state (ie, variables). This function takes the weight
 </s> add         The weights of an optimizer are its state (IE, variables). This function takes the weight </s> remove         the iterations count of the optimizer, followed by the optimizer's state variables in the
 </s> add         the iterations count of the optimizer, followed by the optimizers state variables in the </s> remove             List of tf variables to create slots for
 </s> add             List of tensorflow variables to create slots for </s> remove         parans: list
 </s> add         params: list </s> remove         an optimizer. The same optimizer can be reinstantiated later (without any saved state) from
        this configuration.
 </s> add         an optimizer. The same optimizer can be re-instantiated later (without any saved state)
        from this configuration.
            The data type to to set up weight decay for
  
          Parameters
          ----------
          var_dtype: str
            The data type to to set up weight decay for
  
          Returns
          -------
          Tensor
              The weight decay variable
keep keep keep keep replace keep keep keep keep keep
 Update Travis Tests for optimizers 
lib/model/optimizers_tf.py