Revert "fix: fix video input for qwen3-vl" (#11437)

python/sglang/srt/layers/rotary_embedding.py

@@ -1126,11 +1126,6 @@ class MRotaryEmbedding(RotaryEmbedding):
         second_per_grid_ts: Optional[torch.Tensor] = None,
         **kwargs,
     ) -> Tuple[torch.Tensor, torch.Tensor]:
-        if model_type.startswith("qwen3_vl") and video_grid_thw is not None:
-            video_grid_thw = torch.repeat_interleave(
-                video_grid_thw, video_grid_thw[:, 0], dim=0
-            )
-            video_grid_thw[:, 0] = 1
         mrope_position_deltas = []
         if input_ids is not None and (
             image_grid_thw is not None or video_grid_thw is not None

python/sglang/srt/model_executor/model_runner.py

@@ -186,6 +186,7 @@ UNBALANCED_MODEL_LOADING_TIMEOUT_S = 300
 
 logger = logging.getLogger(__name__)
 
+
 if _is_npu:
     import torch_npu
 
@@ -624,22 +625,6 @@ class ModelRunner:
                     "Setting hicache_io_backend to vanilla I/O, which may lead to suboptimal performance with small page sizes."
                 )
 
-        if self.model_config.hf_config.model_type == "qwen3_vl_moe":
-            if (
-                quantization_config := getattr(
-                    self.model_config.hf_config, "quantization_config"
-                )
-            ) is not None:
-                text_config = self.model_config.hf_text_config
-                weight_block_size_n = quantization_config["weight_block_size"][0]
-                if (
-                    text_config.moe_intermediate_size
-                    // (self.tp_size // self.moe_ep_size)
-                ) % weight_block_size_n != 0:
-                    raise ValueError(
-                        f"For qwen3-vl-fp8 models, please make sure ({text_config.moe_intermediate_size=} // ({self.tp_size=} // {self.moe_ep_size=})) % {weight_block_size_n=} == 0"
-                    )
-
     def init_torch_distributed(self):
         logger.info("Init torch distributed begin.")
 

test/srt/test_vision_openai_server_a.py

@@ -50,27 +50,6 @@ class TestQwen2VLServer(ImageOpenAITestMixin, VideoOpenAITestMixin):
         cls.base_url += "/v1"
 
 
-class TestQwen3VLServer(ImageOpenAITestMixin, VideoOpenAITestMixin):
-    @classmethod
-    def setUpClass(cls):
-        cls.model = "Qwen/Qwen3-VL-30B-A3B-Instruct"
-        cls.base_url = DEFAULT_URL_FOR_TEST
-        cls.api_key = "sk-123456"
-        cls.process = popen_launch_server(
-            cls.model,
-            cls.base_url,
-            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
-            api_key=cls.api_key,
-            other_args=[
-                "--mem-fraction-static",
-                "0.80",
-                "--cuda-graph-max-bs",
-                "4",
-            ],
-        )
-        cls.base_url += "/v1"
-
-
 class TestQwen2_5_VLServer(ImageOpenAITestMixin, VideoOpenAITestMixin):
     @classmethod
     def setUpClass(cls):

test/srt/test_vision_openai_server_common.py

@@ -494,7 +494,7 @@ class VideoOpenAITestMixin(TestOpenAIOmniServerBase):
             **(self.get_vision_request_kwargs()),
         )
 
-        video_response = response.choices[0].message.content.lower()
+        video_response = response.choices[0].message.content
 
         print("-" * 30)
         print(f"Video response:\n{video_response}")
@@ -502,10 +502,9 @@ class VideoOpenAITestMixin(TestOpenAIOmniServerBase):
 
         # Add assertions to validate the video response
         assert (
-            "ipod" in video_response
+            "iPod" in video_response
             or "device" in video_response
             or "microphone" in video_response
-            or "phone" in video_response
         ), f"video_response: {video_response}, should contain 'iPod' or 'device'"
         assert (
             "man" in video_response