Hotfix to work as normal tensor

Fixes [ViT-L-14-BEST...] not working

dequant.py

@@ -6,10 +6,12 @@ from tqdm import tqdm
 
 def dequantize_tensor(tensor, dtype=torch.float16):
     data = torch.tensor(tensor.data)
-    qtype = tensor.tensor_type
-    oshape = tensor.tensor_shape
+    qtype = getattr(tensor, "tensor_type", None)
+    oshape = getattr(tensor, "tensor_shape", tensor.data.shape)
 
-    if qtype == gguf.GGMLQuantizationType.F32:
+    if qtype == None:
+        return data.to(dtype)
+    elif qtype == gguf.GGMLQuantizationType.F32:
         return data.to(dtype)
     elif qtype == gguf.GGMLQuantizationType.F16:
         return data.to(dtype)

nodes.py

@@ -190,10 +190,10 @@ class CLIPLoaderGGUF:
 
         # for some reason this is just missing in some SAI checkpoints
         if getattr(clip.cond_stage_model, "clip_l", None) is not None:
-            if clip.cond_stage_model.clip_l.transformer.text_projection.weight.tensor_shape == None:
+            if getattr(clip.cond_stage_model.clip_l.transformer.text_projection.weight, "tensor_shape", None) == None:
                 clip.cond_stage_model.clip_l.transformer.text_projection = comfy.ops.manual_cast.Linear(768, 768)
         if getattr(clip.cond_stage_model, "clip_g", None) is not None:
-            if clip.cond_stage_model.clip_g.transformer.text_projection.weight.tensor_shape == None:
+            if getattr(clip.cond_stage_model.clip_g.transformer.text_projection.weight, "tensor_shape", None) == None:
                 clip.cond_stage_model.clip_g.transformer.text_projection = comfy.ops.manual_cast.Linear(1280, 1280)
 
         return clip

ops.py

@@ -21,9 +21,9 @@ class GGMLTensor(torch.Tensor):
 
     def to(self, *args, **kwargs):
         new = super().to(*args, **kwargs)
-        new.tensor_type = self.tensor_type
-        new.tensor_shape = self.tensor_shape
-        new.patches = self.patches.copy()
+        new.tensor_type = getattr(self, "tensor_type", None)
+        new.tensor_shape = getattr(self, "tensor_shape", new.data.shape)
+        new.patches = getattr(self, "patches", []).copy()
         return new
 
     def clone(self, *args, **kwargs):