Method _wrap_model

point_e/diffusion/gaussian_diffusion.py:988–991

(self, model)

        return super().condition_score(self._wrap_model(cond_fn), *args, **kwargs)

    def _wrap_model(self, model):
        if isinstance(model, _WrappedModel):
            return model
        return _WrappedModel(model, self.timestep_map, self.original_num_steps)


class _WrappedModel: