(self, W, freeze=True)
| 492 | self.W.gaussian(0., 1.) |
| 493 | |
| 494 | def from_pretrained(self, W, freeze=True): |
| 495 | self.set_params({self.W.name: W}) |
| 496 | self.W.requires_grad = not freeze |
| 497 | |
| 498 | def forward(self, x): |
| 499 | return autograd.embedding(x, self.W) |
no test coverage detected