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alphafold3_pytorch/alphafold3.py

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@@ -5425,7 +5425,7 @@ def shrink_and_perturb_(
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for p in self.parameters():
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noise = torch.randn_like(p.data)
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p.data.mul_(1. - shrink_factor).add_(noise * 0.1)
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p.data.mul_(1. - shrink_factor).add_(noise * perturb_factor)
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return self
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