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@@ -398,7 +398,7 @@ def network_restore_weights_from_backup(self: Union[torch.nn.Conv2d, torch.nn.Li
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if weights_backup is not None:
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if isinstance(self, torch.nn.MultiheadAttention):
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restore_weights_backup(self, 'in_proj_weight', weights_backup[0])
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- restore_weights_backup(self.out_proj, 'weight', weights_backup[0])
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+ restore_weights_backup(self.out_proj, 'weight', weights_backup[1])
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else:
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restore_weights_backup(self, 'weight', weights_backup)
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@@ -437,7 +437,7 @@ def network_apply_weights(self: Union[torch.nn.Conv2d, torch.nn.Linear, torch.nn
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bias_backup = getattr(self, "network_bias_backup", None)
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if bias_backup is None and wanted_names != ():
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if isinstance(self, torch.nn.MultiheadAttention) and self.out_proj.bias is not None:
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- bias_backup = store_weights_backup(self.out_proj)
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+ bias_backup = store_weights_backup(self.out_proj.bias)
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elif getattr(self, 'bias', None) is not None:
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bias_backup = store_weights_backup(self.bias)
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else:
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