(self, seed)
| 323 | tmp.input_var[k] = torch.autograd.Variable(v.cuda()) |
| 324 | |
| 325 | def _set_randomseed(self, seed): |
| 326 | random.seed(seed) |
| 327 | np.random.seed(seed) |
| 328 | torch.manual_seed(seed) |
| 329 | torch.cuda.manual_seed(seed) |
| 330 | torch.cuda.manual_seed_all(seed) |
| 331 | |
| 332 | def forward(self): |
| 333 | ## set random seed with current_step at each iteration |