(x)
| 292 | model_log_variance = _extract_into_tensor(model_log_variance, t, x.shape) |
| 293 | |
| 294 | def process_xstart(x): |
| 295 | if denoised_fn is not None: |
| 296 | x = denoised_fn(x) |
| 297 | if clip_denoised: |
| 298 | return x.clamp(-1, 1) |
| 299 | return x |
| 300 | |
| 301 | if self.model_mean_type == ModelMeanType.PREVIOUS_X: |
| 302 | pred_xstart = process_xstart( |
nothing calls this directly
no outgoing calls
no test coverage detected