fix: fix pytorch in the cuda11 image#4841
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wanghan-iapcm merged 3 commits intodeepmodeling:develfrom Jul 15, 2025
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As reported by deepmodeling#4837 (comment), the pytorch in the cuda 11 image is currently cuda12. Signed-off-by: Jinzhe Zeng <jinzhe.zeng@ustc.edu.cn>
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📝 WalkthroughWalkthroughThis update removes unnecessary blank lines from multiple documentation files to improve formatting consistency and modifies the Dockerfile to change how the CUDA 11 PyTorch backend is specified during installation, switching from explicit PyTorch installation to setting an environment variable for backend selection. No functional or API changes are made. Changes
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source/install/docker/Dockerfile (1)
11-13:torchgets requested twice – potential re-download/downgradeImmediately after the manual install, the extras string
[..,torch]triggers another resolution step without the custom index, which can:
- waste time (already-satisfied check), or
- accidentally pull/override with the CPU wheel if a newer patch appears.
A simple guard avoids the duplicate requirement:
- && uv pip install "$(ls /dist/deepmd_kit${VARIANT}-*manylinux*_x86_64.whl)[gpu,cu${CUDA_VERSION},lmp,ipi,torch]" \ + && EXTRAS="gpu,cu${CUDA_VERSION},lmp,ipi" \ + && [ "${CUDA_VERSION}" != 11 ] && EXTRAS="$EXTRAS,torch" \ + && uv pip install "$(ls /dist/deepmd_kit${VARIANT}-*manylinux*_x86_64.whl)[$EXTRAS]" \
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doc/model/show-model-info.md(0 hunks)doc/train/multi-task-training.md(0 hunks)source/install/docker/Dockerfile(1 hunks)
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- doc/train/multi-task-training.md
- doc/model/show-model-info.md
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- GitHub Check: Build wheels for cp311-win_amd64
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- GitHub Check: Build C library (2.18, libdeepmd_c.tar.gz)
- GitHub Check: Build C library (2.14, >=2.5.0rc0,<2.15, libdeepmd_c_cu11.tar.gz)
- GitHub Check: Build C++ (clang, clang)
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Signed-off-by: Jinzhe Zeng <jinzhe.zeng@ustc.edu.cn>
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## devel #4841 +/- ##
=======================================
Coverage 84.72% 84.72%
=======================================
Files 699 699
Lines 68181 68182 +1
Branches 3541 3541
=======================================
+ Hits 57769 57770 +1
- Misses 9279 9280 +1
+ Partials 1133 1132 -1 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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wanghan-iapcm
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Jul 15, 2025
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Dec 17, 2025
As reported by deepmodeling#4837 (comment), the pytorch in the cuda 11 image is currently cuda12. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Chores** * Cleaned up documentation formatting by removing unnecessary blank lines for improved readability and consistency. * **Refactor** * Improved Docker installation process to better manage PyTorch backend selection for CUDA 11 environments. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Signed-off-by: Jinzhe Zeng <jinzhe.zeng@ustc.edu.cn> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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As reported by #4837 (comment), the pytorch in the cuda 11 image is currently cuda12.
Summary by CodeRabbit
Chores
Refactor