(self, motion_latent: torch.Tensor,
history_motion: torch.Tensor)
| 129 | self.nfuture = nfuture |
| 130 | |
| 131 | def forward(self, motion_latent: torch.Tensor, |
| 132 | history_motion: torch.Tensor): |
| 133 | return self.vae.decode(motion_latent, |
| 134 | history_motion, |
| 135 | nfuture=self.nfuture) |
| 136 | |
| 137 | class WrappedTRTVAE: |
| 138 |