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BLD: Update Dockerfile to 12.9 to use VLLM v0.11.2 version #4393
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Added wetext installation and set LD_LIBRARY_PATH.
Removed 'gptqmodel' from the requirements file.
| cuda-python | ||
| sgl-kernel>=0.0.3.post3,<=0.1.4 | ||
| IPython | ||
| numpy==1.26.4 |
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Should numpy be such an old version?
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Version cannot exceed 2, this version is compatible, otherwise an error message will be generated stating that the version is too high
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Can you paste the error stack?
| RUN pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128 \ | ||
| --no-deps | ||
| --no-deps && \ | ||
| pip install triton==3.4.0 && \ |
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Why pin triton and torchcodec
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Before the cu129hu version environment, it was directly read from the byte stream and then saved to memory; But in the cu129 version environment, torchauudio relies on torchcodec, which requires storing a temporary file first and then reading it into the byte stream
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Then why pinned triton?
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