def zero_grad(self):
        """Clears the gradients of all optimized parameters."""
        self.wrapped_optimizer.zero_grad()
        if self.scaler is not None:
            self._multiply_factor = 1.0 / float(self.scaler.loss_scale)
        else:
            self._multiply_factor = 1.0
Clears the gradients of all optimized parameters.
structured_prompting/fairseq-version/fairseq/fairseq/optim/fp16_optimizer.py