[Bugfix] Make `get_mrope_input_positions` instance methods (#27342)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

vllm/model_executor/models/ernie45_vl.py

@@ -1404,9 +1404,8 @@ class Ernie4_5_VLMoeForConditionalGeneration(
         else:
             self.visual_token_mask = None
 
-    @classmethod
     def get_mrope_input_positions(
-        cls,
+        self,
         input_tokens: list[int],
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,

vllm/model_executor/models/glm4v.py

@@ -619,9 +619,8 @@ class GLM4VForCausalLM(
 
         return self.transformer.vision(pixel_values)
 
-    @classmethod
     def get_mrope_input_positions(
-        cls,
+        self,
         input_tokens: list[int],
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,

vllm/model_executor/models/keye_vl1_5.py

@@ -594,9 +594,8 @@ class KeyeVL1_5ForConditionalGeneration(
             new_video_embeds.append(video_embeds[start:end])
         return tuple(new_video_embeds)
 
-    @classmethod
     def get_mrope_input_positions(
-        cls,
+        self,
         input_tokens: list[int],
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,

vllm/model_executor/models/qwen2_5_omni_thinker.py

@@ -986,9 +986,8 @@ class Qwen2_5OmniThinkerForConditionalGeneration(
     def get_language_model(self) -> torch.nn.Module:
         return self.language_model
 
-    @classmethod
     def get_mrope_input_positions(
-        cls,
+        self,
         input_tokens: list[int],
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,

vllm/model_executor/models/qwen2_5_vl.py

@@ -1078,9 +1078,8 @@ class Qwen2_5_VLForConditionalGeneration(
 
     supports_encoder_tp_data = True
 
-    @classmethod
     def get_mrope_input_positions(
-        cls,
+        self,
         input_tokens: list[int],
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,

vllm/model_executor/models/qwen3_omni_moe_thinker.py

@@ -1421,7 +1421,6 @@ class Qwen3OmniMoeThinkerForConditionalGeneration(
 
         return loaded_weights
 
-    @classmethod
     def get_mrope_input_positions(
         self,
         input_tokens: list[int],

vllm/model_executor/models/qwen3_vl.py

@@ -1480,9 +1480,8 @@ class Qwen3VLForConditionalGeneration(
                 )
         return mm_input_by_modality
 
-    @classmethod
     def get_mrope_input_positions(
-        cls,
+        self,
         input_tokens: list[int],
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,