Update CI docker image and set vllm eager enforce_eager to False#614
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chtruong814 merged 11 commits intomainfrom Feb 23, 2026
Merged
Update CI docker image and set vllm eager enforce_eager to False#614chtruong814 merged 11 commits intomainfrom
chtruong814 merged 11 commits intomainfrom
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Signed-off-by: Charlie Truong <chtruong@nvidia.com>
Signed-off-by: Charlie Truong <chtruong@nvidia.com>
Signed-off-by: Charlie Truong <chtruong@nvidia.com>
Signed-off-by: Charlie Truong <chtruong@nvidia.com>
Signed-off-by: Charlie Truong <chtruong@nvidia.com>
ko3n1g
approved these changes
Feb 22, 2026
oyilmaz-nvidia
approved these changes
Feb 23, 2026
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Update CI docker image and set vllm eager enforce_eager to False
vllm checks if certain torch features are available based on the torch version. In particular, vllm 0.14.1 assumes 32 bit indexing is available for torch versions >= 2.10.0.dev. However, when installed in the 25.11 NGC Pytorch container, vllm believes that feature should work with the container's torch version. But this is not correct.
https://github.com/vllm-project/vllm/blob/v0.14.1/vllm/compilation/decorators.py#L524
So, this change updates the CI docker image with a patched version of vllm that does not treat the 25.11 NGC Pytorch version as >= 2.10.0.dev. We also previously set the VLLMExporter to default to enforce_eager=True. This change should enable enforce_eager=False.