handle slow and fast processor for qwen2vl

Signed-off-by: isotr0py <[email protected]>

vllm/model_executor/models/qwen2_vl.py

@@ -31,7 +31,9 @@
 import torch.nn as nn
 import torch.nn.functional as F
 from einops import rearrange, repeat
+from packaging.version import Version
 from transformers import BatchFeature
+from transformers import __version__ as TRANSFORMERS_VERSION
 from transformers.models.qwen2_vl import (Qwen2VLImageProcessor,
                                           Qwen2VLProcessor)
 from transformers.models.qwen2_vl.configuration_qwen2_vl import (
@@ -759,7 +761,13 @@ def get_image_processor(
         hf_processor = self.get_hf_processor(min_pixels=min_pixels,
                                              max_pixels=max_pixels)
         image_processor = hf_processor.image_processor  # type: ignore
-        assert isinstance(image_processor, Qwen2VLImageProcessor)
+        if Version(TRANSFORMERS_VERSION) >= Version("4.49"):
+            from transformers.models.qwen2_vl import Qwen2VLImageProcessorFast
+            assert isinstance(
+                image_processor,
+                (Qwen2VLImageProcessor, Qwen2VLImageProcessorFast))
+        else:
+            assert isinstance(image_processor, Qwen2VLImageProcessor)
         return image_processor
 
     def get_supported_mm_limits(self) -> Mapping[str, Optional[int]]: