Prevent inf recursion as per 1892

src/peft/tuners/lora/model.py

@@ -905,4 +905,4 @@ def subtract_mutated_init(self, output_state_dict: dict[str, torch.Tensor], adap
  [output_state_dict[name], -mutated_init_state_dict[".".join(name.split(".")[1:])]], dim=1
  )
 
- return tensors_lora
+ return tensors_lora

src/peft/tuners/xlora/model.py

@@ -277,6 +277,8 @@ def __getattr__(self, name: str):
  try:
  return super().__getattr__(name) # defer to nn.Module's logic
  except AttributeError:
+ if name == "base_model": # see #1892: prevent infinite recursion if class is not initialized
+ raise
  return getattr(self.lora_model, name)
 
  @staticmethod