original_docstring: Refreshes any internal state from the current model parameters.
          Call whenever the parameters are changed outside of the optimizer.
          For example, when we load a model from a checkpoint  without loading
          the optimizer, the model parameters are updated but for fp16 optimizer
          with main parameters, the main parameters need to also be updated.
docstring: Refreshes any internal state from the current model parameters.
  Call whenever the parameters are changed outside of the optimizer.
  For example, when we load a model from a checkpoint  without loading
  the optimizer, the model parameters are updated but for fp16 optimizer
  with main parameters, the main parameters need to also be updated.
docstring_tokens: Refreshes any internal state from the current model parameters . Call whenever the parameters are changed outside of the optimizer . For example when we load a model from a checkpoint without loading the optimizer the model parameters are updated but for fp16 optimizer with main parameters the main parameters need to also be updated .
code: def reload_model_params(self):
          """Refreshes any internal state from the current model parameters.
          Call whenever the parameters are changed outside of the optimizer.
          For example, when we load a model from a checkpoint  without loading
          the optimizer, the model parameters are updated but for fp16 optimizer
          with main parameters, the main parameters need to also be updated."""
          pass
code_tokens: def reload_model_params ( self ) : pass
short_docstring: Refreshes any internal state from the current model parameters.
short_docstring_tokens: Refreshes any internal state from the current model parameters .
comment: """Refreshes any internal state from the current model parameters.
          Call whenever the parameters are changed outside of the optimizer.
          For example, when we load a model from a checkpoint  without loading
          the optimizer, the model parameters are updated but for fp16 optimizer
          with main parameters, the main parameters need to also be updated."""