| 350 | class MLPProj(torch.nn.Module): |
| 351 | |
| 352 | def __init__(self, in_dim, out_dim, flf_pos_emb=False): |
| 353 | super().__init__() |
| 354 | |
| 355 | self.proj = torch.nn.Sequential( |
| 356 | torch.nn.LayerNorm(in_dim), torch.nn.Linear(in_dim, in_dim), |
| 357 | torch.nn.GELU(), torch.nn.Linear(in_dim, out_dim), |
| 358 | torch.nn.LayerNorm(out_dim)) |
| 359 | if flf_pos_emb: # NOTE: we only use this for `flf2v` |
| 360 | self.emb_pos = nn.Parameter( |
| 361 | torch.zeros(1, FIRST_LAST_FRAME_CONTEXT_TOKEN_NUMBER, 1280)) |
| 362 | |
| 363 | def forward(self, image_embeds): |
| 364 | if hasattr(self, 'emb_pos'): |