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Refactor: move DeepEP from Docker images to wheel building #5534
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/bot run --stage-list "DGX_H100-4_GPUs-PyTorch-DeepSeek-1" |
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Signed-off-by: Tailing Yuan <[email protected]>
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Signed-off-by: Tailing Yuan <[email protected]>
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/bot skip --comment "Only comment changes after PR_Github #11110 [ run ] completed with state SUCCESS" |
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Known issue: if the number of CUDA architecutes that ≥9.0 is an even number, the following error occurs:
The root cause is This problem will be fixed by #5816 . |
Signed-off-by: Tailing Yuan <[email protected]>
Signed-off-by: Tailing Yuan <[email protected]> Signed-off-by: Yuxin <[email protected]>
Signed-off-by: Tailing Yuan <[email protected]> Signed-off-by: Yuxin <[email protected]>
[TRTLLM-6011] Improvement of DeepEP integration flow to avoid docker upgrade
Description
Move DeepEP from Docker images to wheel building.
The DeepEP library porting is expected to update fast, so it's too heavy to upgrade the Docker image for each DeepEP upgradation.
This PR added the following files into
.whl
, which makes the wheel self-contained.Test Coverage
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