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https://github.com/RosettaCommons/RFdiffusion/blob/main/rfdiffusion/inference/model_runners.py#L673
msa_prev, pair_prev, px0, state_prev, alpha, logits, plddt = self.model(msa_masked, msa_full, seq_in, xt_in, idx_pdb, t1d=t1d, t2d=t2d, xyz_t=xyz_t, alpha_t=alpha_t, msa_prev = None, pair_prev = None, state_prev = None, t=torch.tensor(t), return_infer=True, motif_mask=self.diffusion_mask.squeeze().to(self.device))
In the above sampling code, a previous timestep's features are always set to None. Is this intended?
The text was updated successfully, but these errors were encountered:
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https://github.com/RosettaCommons/RFdiffusion/blob/main/rfdiffusion/inference/model_runners.py#L673
In the above sampling code, a previous timestep's features are always set to None. Is this intended?
The text was updated successfully, but these errors were encountered: