code: def create_optimizer(name, **kwargs):
          
          if name.lower() in Optimizer.opt_registry:
              return Optimizer.opt_registry[name.lower()](**kwargs)
          else:
              raise ValueError('Cannot find optimizer %s' % name)
docs: Instantiates an optimizer with a given name and kwargs.
  
          .. note:: We can use the alias `create` for ``Optimizer.create_optimizer``.
  
          Parameters
          ----------
          name: str
              Name of the optimizer. Should be the name
              of a subclass of Optimizer. Case insensitive.
  
          kwargs: dict
              Parameters for the optimizer.
  
          Returns
          -------
          Optimizer
              An instantiated optimizer.
  
          Examples
          --------
          >>> sgd = mx.optimizer.Optimizer.create_optimizer('sgd')
          >>> type(sgd)
          <class 'mxnet.optimizer.SGD'>
          >>> adam = mx.optimizer.create('adam', learning_rate=.1)
          >>> type(adam)
          <class 'mxnet.optimizer.Adam'>