Set requires_grad and collect parameters for optimization. Args: fit_param: whether to optimize this body model parameter param: body model parameter Returns: None
(self, fit_param: torch.Tensor, param: torch.Tensor)
| 20 | self.opt_params = [] |
| 21 | |
| 22 | def set_param(self, fit_param: torch.Tensor, param: torch.Tensor) -> None: |
| 23 | """Set requires_grad and collect parameters for optimization. |
| 24 | |
| 25 | Args: |
| 26 | fit_param: whether to optimize this body model parameter |
| 27 | param: body model parameter |
| 28 | |
| 29 | Returns: |
| 30 | None |
| 31 | """ |
| 32 | if fit_param: |
| 33 | param.requires_grad = True |
| 34 | self.opt_params.append(param) |
| 35 | else: |
| 36 | param.requires_grad = False |
| 37 | |
| 38 | def parameters(self) -> List[torch.Tensor]: |
| 39 | """Returns parameters. Compatible with mmcv's build_parameters() |
no outgoing calls
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