fix 24.12 docker #7045
fix 24.12 docker #7045
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Summary of Changes
Hello @zhyncs, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request addresses a build issue in the Dockerfile for the 24.12 release. The core change involves adding the --break-system-packages flag to various pip installation steps to ensure compatibility with newer Python environments or distributions where pip's behavior regarding system packages has changed.
Highlights
- Docker Build Fix: Added the
--break-system-packagesflag to severalpip installcommands within the Dockerfile to address potential conflicts with system-managed Python packages, likely resolving build issues for the 24.12 release.
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Code Review
This pull request correctly addresses potential Docker build failures related to pip's PEP 668 (externally managed environments) by adding the --break-system-packages flag to pip install commands. This is a standard and necessary workaround in many Docker contexts to allow pip to manage packages in the system Python environment.
To improve future maintainability and clarity, consider adding a comment at the beginning of the Python package installation section in the Dockerfile, or near the first use of --break-system-packages. Such a comment could briefly explain why this flag is used (e.g., # Using --break-system-packages to allow pip to manage packages in the system environment, per PEP 668 guidelines for containerized applications.).
| @@ -18,12 +18,12 @@ RUN echo 'tzdata tzdata/Areas select America' | debconf-set-selections \ | |||
| && apt clean | |||
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| # For openbmb/MiniCPM models | |||
| RUN pip3 install datamodel_code_generator | |||
| RUN pip3 install datamodel_code_generator --break-system-packages | |||
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Adding --break-system-packages is a necessary adjustment for installing Python packages with pip in environments like this Docker container, especially with newer pip versions that enforce PEP 668. This flag allows pip to modify the system Python installation, which is a common practice in isolated Docker environments to ensure datamodel_code_generator can be installed without conflict.
docker/Dockerfile
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| WORKDIR /sgl-workspace | ||
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| ARG CUDA_VERSION | ||
| RUN python3 -m pip install --upgrade pip setuptools wheel html5lib six \ | ||
| RUN python3 -m pip install --upgrade pip setuptools wheel html5lib six --break-system-packages \ |
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The inclusion of --break-system-packages when upgrading pip and installing base packages (setuptools, wheel, etc.) is appropriate. It ensures these fundamental tools can be managed by pip directly within the Docker image, bypassing PEP 668's protections in this controlled environment.
| @@ -33,19 +33,19 @@ RUN python3 -m pip install --upgrade pip setuptools wheel html5lib six \ | |||
| export CUINDEX=124; \ | |||
| elif [ "$CUDA_VERSION" = "11.8.0" ]; then \ | |||
| export CUINDEX=118; \ | |||
| python3 -m pip install --no-cache-dir sgl-kernel -i https://docs.sglang.ai/whl/cu118; \ | |||
| python3 -m pip install --no-cache-dir sgl-kernel -i https://docs.sglang.ai/whl/cu118 --break-system-packages; \ | |||
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Using --break-system-packages for the sgl-kernel installation is consistent and correct. This ensures that pip can install the kernel package into the global Python environment within the Docker container, as intended, by bypassing PEP 668 restrictions.
| else \ | ||
| echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1; \ | ||
| fi \ | ||
| && if [ "$CUDA_VERSION" = "12.4.1" ]; then \ | ||
| python3 -m pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cu126; \ | ||
| python3 -m pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cu126 --break-system-packages; \ |
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Applying --break-system-packages to this torch installation command is a good measure. It ensures that torch can be installed or updated by pip without issues arising from PEP 668's externally-managed environment checks, which is suitable for this Docker context.
| else \ | ||
| python3 -m pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cu${CUINDEX}; \ | ||
| python3 -m pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cu${CUINDEX} --break-system-packages; \ |
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Consistently using --break-system-packages for this alternative torch installation path (with cu${CUINDEX}) is correct. It maintains the same strategy for allowing pip to manage packages in the system Python environment within the Docker image, adhering to the common practice for PEP 668 workarounds.
| fi \ | ||
| && cd sglang \ | ||
| && python3 -m pip --no-cache-dir install -e "python[${BUILD_TYPE}]" \ | ||
| && python3 -m pip --no-cache-dir install -e "python[${BUILD_TYPE}]" --break-system-packages \ |
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The addition of --break-system-packages when installing the main sglang package in editable mode (-e) is appropriate. This ensures that pip can set up the editable install correctly in the Docker environment, overriding PEP 668's default behavior.
| && if [ "$CUDA_VERSION" = "12.8.1" ]; then \ | ||
| python3 -m pip install nvidia-nccl-cu12==2.26.2.post1 --force-reinstall --no-deps; \ | ||
| python3 -m pip install nvidia-nccl-cu12==2.26.2.post1 --force-reinstall --no-deps --break-system-packages; \ |
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Including --break-system-packages for the nvidia-nccl-cu12 installation is a consistent application of the fix. This allows pip to manage this CUDA-related Python package directly, which is necessary in this Docker build setup due to PEP 668.
Motivation
fix #7043
Modifications
Checklist