(self, val, n=1)
| 59 | self.losses = [] |
| 60 | |
| 61 | def update(self, val, n=1): |
| 62 | self.val = val |
| 63 | self.sum += val * n |
| 64 | self.count += n |
| 65 | self.avg = self.sum / self.count |
| 66 | self.losses.append(val) |
| 67 | |
| 68 | def show(self): |
| 69 | return torch.mean(torch.stack(self.losses[np.maximum(len(self.losses)-self.num, 0):])) |