[Bug] Dynamo Unsupported due to BasevLLMParameter.torch_function calling disabled super() (#25613)

Signed-off-by: yewentao256 <zhyanwentao@126.com>
Signed-off-by: Wentao Ye <44945378+yewentao256@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

Author: yewentao256

vllm/model_executor/parameter.py

@@ -12,6 +12,7 @@
 from vllm.distributed import (get_tensor_model_parallel_rank,
                               get_tensor_model_parallel_world_size)
 from vllm.logger import init_logger
+from vllm.utils import is_torch_equal_or_newer
 
 __all__ = [
     "BasevLLMParameter", "PackedvLLMParameter", "PerTensorScaleParameter",
@@ -114,6 +115,15 @@ def _shard_id_as_int(self, shard_id: Union[str, int]) -> int:
 
     @classmethod
     def __torch_function__(cls, func, types, args=(), kwargs=None):
+        if not is_torch_equal_or_newer("2.8.0"):
+            logger.warning_once(
+                "Torch %s detected (<2.8.0): returning NotImplemented in "
+                "BasevLLMParameter.__torch_function__ to avoid potential "
+                "TorchDynamo issues.",
+                torch.__version__,
+            )
+            return NotImplemented
+
         if kwargs is None:
             kwargs = {}
         return super().__torch_function__(func, types, args, kwargs)