(self, destination=None, prefix="", keep_vars=False, exclude_frozen_parameters=False)
| 3826 | return tensor_list |
| 3827 | |
| 3828 | def module_state_dict(self, destination=None, prefix="", keep_vars=False, exclude_frozen_parameters=False): |
| 3829 | sd = self.module.state_dict(destination=destination, prefix=prefix, keep_vars=keep_vars) |
| 3830 | |
| 3831 | # Remove frozen parameter weights from state_dict if specified |
| 3832 | if exclude_frozen_parameters: |
| 3833 | for n, p in self.module.named_parameters(): |
| 3834 | if not p.requires_grad and n in sd: |
| 3835 | del sd[n] |
| 3836 | |
| 3837 | if self.random_ltd_enabled(): |
| 3838 | sd = remove_random_ltd_state_dict(sd) |
| 3839 | return sd |
| 3840 | |
| 3841 | @staticmethod |
| 3842 | def _make_autoep_folding_metadata(folding_spec, |
no test coverage detected