typo

Author: ljaljushkin

nncf/torch/quantization/layers.py

@@ -1078,8 +1078,8 @@ def init_lora(self, lspec: PTLoraSpec):
         if rank > out_features or rank > in_features:
             msg = f"Specified LoRA rank={rank} cannot exceed any dimension of the weight tensor"
             raise nncf.ValidationError(msg)
-        self._lora_A = torch.nn.Parameter(torch.ones((rank, in_features), dtype=default_lora_dtype))
-        self._lora_B = torch.nn.Parameter(torch.zeros((out_features, rank), dtype=default_lora_dtype))
+        self.lora_A = torch.nn.Parameter(torch.ones((rank, in_features), dtype=default_lora_dtype))
+        self.lora_B = torch.nn.Parameter(torch.zeros((out_features, rank), dtype=default_lora_dtype))
 
     def enable_gradients(self):
         self.lora_A.requires_grad = True