Merge pull request #15816 from huchenlei/bias_backup
[Performance 5/6] Prevent unnecessary extra networks bias backup
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commit
816bc424c4
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@ -388,13 +388,18 @@ def network_apply_weights(self: Union[torch.nn.Conv2d, torch.nn.Linear, torch.nn
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self.network_weights_backup = weights_backup
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self.network_weights_backup = weights_backup
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bias_backup = getattr(self, "network_bias_backup", None)
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bias_backup = getattr(self, "network_bias_backup", None)
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if bias_backup is 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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if isinstance(self, torch.nn.MultiheadAttention) and self.out_proj.bias is not None:
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bias_backup = self.out_proj.bias.to(devices.cpu, copy=True)
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bias_backup = self.out_proj.bias.to(devices.cpu, copy=True)
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elif getattr(self, 'bias', None) is not None:
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elif getattr(self, 'bias', None) is not None:
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bias_backup = self.bias.to(devices.cpu, copy=True)
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bias_backup = self.bias.to(devices.cpu, copy=True)
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else:
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else:
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bias_backup = None
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bias_backup = None
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# Unlike weight which always has value, some modules don't have bias.
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# Only report if bias is not None and current bias are not unchanged.
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if bias_backup is not None and current_names != ():
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raise RuntimeError("no backup bias found and current bias are not unchanged")
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self.network_bias_backup = bias_backup
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self.network_bias_backup = bias_backup
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if current_names != wanted_names:
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if current_names != wanted_names:
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