(x)
| 366 | model_log_variance = _extract_into_tensor(model_log_variance, t, x.shape) |
| 367 | |
| 368 | def process_xstart(x): |
| 369 | if denoised_fn is not None: |
| 370 | x = denoised_fn(x) |
| 371 | if clip_denoised: |
| 372 | return x.clamp(-1, 1) |
| 373 | return x |
| 374 | |
| 375 | if self.model_mean_type == "x_prev": |
| 376 | pred_xstart = process_xstart( |
nothing calls this directly
no outgoing calls
no test coverage detected