(self, samples, mask)
| 358 | self.initted.data.copy_(torch.Tensor([True])) |
| 359 | |
| 360 | def replace_batch_random(self, samples, mask): |
| 361 | samples = l2norm(samples) |
| 362 | self.embed.data[mask] = self.sample_fn(samples, mask.sum().item()) |
| 363 | |
| 364 | def replace_linde_buzo_gray(self, mask): |
| 365 | num_unused = mask.sum() |