          """ Set the weights of the optimizer.
  
          The weights of an optimizer are its state (ie, variables). This function takes the weight
          values associated with this optimizer as a list of Numpy arrays. The first value is always
          the iterations count of the optimizer, followed by the optimizer's state variables in the
          order they are created. The passed values are used to set the new state of the optimizer.
  
          Parameters
          ----------
          weights: list
 
</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         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. </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. </s> remove         parans: list
 </s> add         params: list </s> remove             The data type to to set up weight decau for
 </s> add             The data type to to set up weight decay for
        the iterations count of the optimizer, followed by the optimizers state variables in the
          """ Set the weights of the optimizer.
  
          The weights of an optimizer are its state (ie, variables). This function takes the weight
          values associated with this optimizer as a list of Numpy arrays. The first value is always
        the iterations count of the optimizer, followed by the optimizers state variables in the
          order they are created. The passed values are used to set the new state of the optimizer.
  
          Parameters
          ----------
          weights: list
keep keep keep keep replace keep keep keep keep keep
 Update Travis Tests for optimizers 
lib/model/optimizers_tf.py