      def get_config(self):
          """ Returns the config of the optimizer.
  
          An optimizer config is a Python dictionary (serializable) containing the configuration of
          an optimizer. The same optimizer can be reinstantiated later (without any saved state) from
          this configuration.
  
          Returns
          -------
          dict
              The optimizer 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         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             The data type to to set up weight decau for
 </s> add             The data type to to set up weight decay for </s> remove     _test_optimizer(optimizers.AdaBelief(), target=0.6)
 </s> add     _test_optimizer(optimizers.AdaBelief(), target=0.5)
        an optimizer. The same optimizer can be re-instantiated later (without any saved state)
        from this configuration.
      def get_config(self):
          """ Returns the config of the optimizer.
  
          An optimizer config is a Python dictionary (serializable) containing the configuration of
        an optimizer. The same optimizer can be re-instantiated later (without any saved state)
        from this configuration.
        an optimizer. The same optimizer can be re-instantiated later (without any saved state)
        from this configuration.
  
          Returns
          -------
          dict
              The optimizer configuration.
keep keep keep keep replace replace keep keep keep keep keep
 Update Travis Tests for optimizers 
lib/model/optimizers_plaid.py