Fix torch.no_grad decorator in VLMS (#41888)

Fix decorator

Author: yaswanth19

src/transformers/models/emu3/modeling_emu3.py

@@ -1392,7 +1392,7 @@ def get_image_features(self, pixel_values: torch.FloatTensor, image_sizes: torch
         image_features = torch.split(image_features, split_sizes)
         return image_features
 
-    @torch.no_grad
+    @torch.no_grad()
     def decode_image_tokens(self, image_tokens: torch.LongTensor, height: int, width: int):
         """
         Decodes generated image tokens from language model to continuous pixel values

src/transformers/models/emu3/modular_emu3.py

@@ -946,7 +946,7 @@ def get_image_features(self, pixel_values: torch.FloatTensor, image_sizes: torch
         image_features = torch.split(image_features, split_sizes)
         return image_features
 
-    @torch.no_grad
+    @torch.no_grad()
     def decode_image_tokens(self, image_tokens: torch.LongTensor, height: int, width: int):
         """
         Decodes generated image tokens from language model to continuous pixel values

src/transformers/models/janus/modeling_janus.py

@@ -1283,7 +1283,7 @@ def decode_image_tokens(self, image_tokens: torch.Tensor):
         decoded_image = decoded_image.permute(0, 2, 3, 1)
         return decoded_image
 
-    @torch.no_grad
+    @torch.no_grad()
     def generate(
         self,
         inputs: Optional[torch.Tensor] = None,

src/transformers/models/janus/modular_janus.py

@@ -1099,7 +1099,7 @@ def decode_image_tokens(self, image_tokens: torch.Tensor):
         decoded_image = decoded_image.permute(0, 2, 3, 1)
         return decoded_image
 
-    @torch.no_grad
+    @torch.no_grad()
     def generate(
         self,
         inputs: Optional[torch.Tensor] = None,