1 files changed, 6 insertions, 6 deletions

diff --git a/extensions-builtin/Lora/lora.py b/extensions-builtin/Lora/lora.py
index 0ab43229..9795540f 100644
--- a/extensions-builtin/Lora/lora.py
+++ b/extensions-builtin/Lora/lora.py
@@ -172,7 +172,7 @@ def load_lora(name, filename):
         else:

             print(f'Lora layer {key_diffusers} matched a layer with unsupported type: {type(sd_module).__name__}')

             continue

-            assert False, f'Lora layer {key_diffusers} matched a layer with unsupported type: {type(sd_module).__name__}'

+            raise AssertionError(f"Lora layer {key_diffusers} matched a layer with unsupported type: {type(sd_module).__name__}")

 

         with torch.no_grad():

             module.weight.copy_(weight)

@@ -184,7 +184,7 @@ def load_lora(name, filename):
         elif lora_key == "lora_down.weight":

             lora_module.down = module

         else:

-            assert False, f'Bad Lora layer name: {key_diffusers} - must end in lora_up.weight, lora_down.weight or alpha'

+            raise AssertionError(f"Bad Lora layer name: {key_diffusers} - must end in lora_up.weight, lora_down.weight or alpha")

 

     if len(keys_failed_to_match) > 0:

         print(f"Failed to match keys when loading Lora {filename}: {keys_failed_to_match}")

@@ -202,7 +202,7 @@ def load_loras(names, multipliers=None):
     loaded_loras.clear()

 

     loras_on_disk = [available_lora_aliases.get(name, None) for name in names]

-    if any([x is None for x in loras_on_disk]):

+    if any(x is None for x in loras_on_disk):

         list_available_loras()

 

         loras_on_disk = [available_lora_aliases.get(name, None) for name in names]

@@ -309,7 +309,7 @@ def lora_apply_weights(self: Union[torch.nn.Conv2d, torch.nn.Linear, torch.nn.Mu
 

             print(f'failed to calculate lora weights for layer {lora_layer_name}')

 

-        setattr(self, "lora_current_names", wanted_names)

+        self.lora_current_names = wanted_names

 

 

 def lora_forward(module, input, original_forward):

@@ -343,8 +343,8 @@ def lora_forward(module, input, original_forward):
 

 

 def lora_reset_cached_weight(self: Union[torch.nn.Conv2d, torch.nn.Linear]):

-    setattr(self, "lora_current_names", ())

-    setattr(self, "lora_weights_backup", None)

+    self.lora_current_names = ()

+    self.lora_weights_backup = None

 

 

 def lora_Linear_forward(self, input):