Reviewer feedback: removed another unnecessary arg

src/peft/tuners/lora/layer.py

@@ -706,7 +706,6 @@ def __init__(
         r: int = 0,
         lora_alpha: int = 1,
         lora_dropout: float = 0.0,
-        is_target_conv_1d_layer: bool = False,
         init_lora_weights: Union[bool, str] = True,
         use_rslora: bool = False,
         **kwargs,
@@ -720,7 +719,6 @@ def __init__(
 
         self._active_adapter = adapter_name
         self.update_layer(adapter_name, r, lora_alpha, lora_dropout, init_lora_weights, use_rslora)
-        self.is_target_conv_1d_layer = is_target_conv_1d_layer
 
     def merge(self, safe_merge: bool = False, adapter_names: Optional[List[str]] = None) -> None:
         """

tests/test_initialization.py

@@ -89,10 +89,6 @@ def test_lora_linear_init_gaussian(self):
         normal = self.get_normal(0.0, 1 / config.r)
         _, p_value = stats.kstest(weight_A.detach().flatten().cpu().numpy(), normal.flatten().cpu().numpy())
 
-        # import matplotlib.pyplot as plt
-        # x = weight_A.detach().flatten().cpu().numpy()
-        # breakpoint()
-
         self.assertGreater(p_value, 0.5)
 
         # check that weight A is *not* from a uniform distribution