Copied from torch.optim.optimizer
(self, set_to_none=True)
| 462 | self._scale = torch.cuda.FloatTensor([1.0]) |
| 463 | |
| 464 | def zero_grad(self, set_to_none=True): |
| 465 | """Copied from torch.optim.optimizer""" |
| 466 | for group in self.optimizer.param_groups: |
| 467 | _zero_grad_group_helper(group["params"], set_to_none) |
| 468 | |
| 469 | def get_loss_scale(self): |
| 470 | """FP32 optimizer does not do any scaling.""" |
no test coverage detected