(self, values=None, **kwargs)
| 85 | return {k: v for k, v in self.items() if filter_key in k} |
| 86 | |
| 87 | def update(self, values=None, **kwargs): |
| 88 | if values is None: |
| 89 | values = {} |
| 90 | values.update(kwargs) |
| 91 | for k, v in values.items(): |
| 92 | if isinstance(v, torch.Tensor): |
| 93 | v = v.detach() |
| 94 | self[k].update(v) |
| 95 | |
| 96 | def clear_meters(self): |
| 97 | for v in self.values(): |
no test coverage detected