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Revert "[Bug] Dynamo Unsupported due to BasevLLMParameter.torch_function calling disabled super()" (#25681)

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Signed-off-by: yewentao256 <zhyanwentao@126.com>
Co-authored-by: Wentao Ye <44945378+yewentao256@users.noreply.github.com>
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Michael Goin 2025-09-25 12:45:06 -04:00 committed by GitHub
parent e04a1b6b21
commit 916bd9204d
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1 changed files with 0 additions and 10 deletions
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vllm/model_executor/parameter.py
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@ -12,7 +12,6 @@ from torch.nn import Parameter
from vllm.distributed import (get_tensor_model_parallel_rank, from vllm.distributed import (get_tensor_model_parallel_rank,
get_tensor_model_parallel_world_size) get_tensor_model_parallel_world_size)
from vllm.logger import init_logger from vllm.logger import init_logger
from vllm.utils import is_torch_equal_or_newer
__all__ = [ __all__ = [
"BasevLLMParameter", "PackedvLLMParameter", "PerTensorScaleParameter", "BasevLLMParameter", "PackedvLLMParameter", "PerTensorScaleParameter",
@ -115,15 +114,6 @@ class BasevLLMParameter(Parameter):
@classmethod @classmethod
def __torch_function__(cls, func, types, args=(), kwargs=None): 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: if kwargs is None:
kwargs = {} kwargs = {}
return super().__torch_function__(func, types, args, kwargs) return super().__torch_function__(func, types, args, kwargs)