(self, x)
| 17 | self.dim = dim |
| 18 | |
| 19 | def forward(self, x): |
| 20 | device = x.device |
| 21 | half_dim = self.dim // 2 |
| 22 | emb = math.log(10000) / (half_dim - 1) |
| 23 | emb = torch.exp(torch.arange(half_dim, device=device) * -emb) |
| 24 | emb = x[:, None] * emb[None, :] |
| 25 | emb = torch.cat((emb.sin(), emb.cos()), dim=-1) |
| 26 | return emb |
| 27 | |
| 28 | |
| 29 | def Conv1d(*args, **kwargs): |
nothing calls this directly
no outgoing calls
no test coverage detected