(self, frames, depths, cond_times=None)
| 60 | return self |
| 61 | |
| 62 | def forward_gaussians(self, frames, depths, cond_times=None): |
| 63 | # frames: [B, V, C, H, W] |
| 64 | # return: gaussians: [B, N, D] |
| 65 | decoder_out = self.model(frames, depths, cond_times=cond_times) |
| 66 | return decoder_out |
| 67 | |
| 68 | def forward(self, data, step_ratio=0.0): |
| 69 | # data: [B, 2, C, H, W] |