[MM][CG] Support ViT CG for Qwen2-VL

docs/design/cuda_graphs_multimodal.md

@@ -86,11 +86,12 @@ Models opt-in to encoder CUDA Graphs by implementing the [SupportsEncoderCudaGra
 | Architecture | Models | CG for Image | CG for Video |
 | ------------ | ------ | ------------ | ------------ |
 | `Qwen3VLForConditionalGeneration` | `Qwen3-VL` | ✅︎ | ✅︎ |
+| `Qwen2VLForConditionalGeneration` | `Qwen2-VL` | ✅︎ | ✅︎ |
 | `Qwen2_5_VLForConditionalGeneration` | `Qwen2.5-VL` | ✅︎ | ✅︎ |
 
 !!! note
     Encoder CUDA Graphs have currently been tested with `--mm-encoder-attn-backend=FLASH_ATTN` and `--mm-encoder-attn-backend=FLASHINFER` on Blackwell GPUs.
-    For Qwen2.5-VL only FA2 and FA3 has been tested.
+    For Qwen2-VL and Qwen2.5-VL only FA2 and FA3 has been tested.
 
 ## Configuration
 

examples/generate/multimodal/vision_language_offline.py

@@ -2466,6 +2466,7 @@ def run_tarsier2(questions: list[str], modality: str) -> ModelRequestData:
 MODELS_SUPPORT_VIT_CUDA_GRAPH = [
     "qwen3_vl",
     "qwen3_vl_moe",
+    "qwen2_vl",
     "qwen2_5_vl",
 ]
 

tests/models/multimodal/generation/test_vit_cudagraph.py

@@ -66,6 +66,18 @@ def qwen_vl_chat_template(content: str) -> str:
         needs_video_metadata=False,
         marks=[pytest.mark.core_model],
     ),
+    "qwen2_vl": VitCudagraphTestConfig(
+        model="Qwen/Qwen2-VL-2B-Instruct",
+        image_prompt=qwen_vl_chat_template(
+            "<|vision_start|><|image_pad|><|vision_end|>What is in this image?"
+        ),
+        video_prompt=qwen_vl_chat_template(
+            "<|vision_start|><|video_pad|><|vision_end|>"
+            "Describe this video in one sentence."
+        ),
+        needs_video_metadata=False,
+        marks=[pytest.mark.core_model],
+    ),
 }