Skip to content

Conversation

@njzjz
Copy link
Member

@njzjz njzjz commented Jul 15, 2025

As reported by #4837 (comment), the pytorch in the cuda 11 image is currently cuda12.

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.

As reported by deepmodeling#4837 (comment), the pytorch in the cuda 11 image is currently cuda12.

Signed-off-by: Jinzhe Zeng <[email protected]>
@njzjz njzjz linked an issue Jul 15, 2025 that may be closed by this pull request
@coderabbitai
Copy link
Contributor

coderabbitai bot commented Jul 15, 2025

📝 Walkthrough

Walkthrough

This 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

File(s) Change Summary
doc/model/show-model-info.md,
doc/train/multi-task-training.md
Removed extraneous blank lines to clean up documentation formatting.
source/install/docker/Dockerfile Changed PyTorch CUDA 11 installation from explicit package install to environment variable backend selection.

Possibly related PRs

Suggested reviewers

  • wanghan-iapcm

📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 2b213f0 and 196e202.

📒 Files selected for processing (1)
  • source/install/docker/Dockerfile (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
  • source/install/docker/Dockerfile
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (30)
  • GitHub Check: Analyze (python)
  • GitHub Check: Analyze (c-cpp)
  • GitHub Check: Analyze (javascript-typescript)
  • GitHub Check: Build wheels for cp310-manylinux_aarch64
  • GitHub Check: Build wheels for cp311-macosx_x86_64
  • GitHub Check: Build wheels for cp311-win_amd64
  • GitHub Check: Build wheels for cp311-macosx_arm64
  • GitHub Check: Build wheels for cp311-manylinux_x86_64
  • GitHub Check: Build wheels for cp311-manylinux_x86_64
  • GitHub Check: Test C++ (true)
  • GitHub Check: Test C++ (false)
  • GitHub Check: Test Python (6, 3.12)
  • GitHub Check: Test Python (2, 3.12)
  • GitHub Check: Test Python (5, 3.12)
  • GitHub Check: Test Python (6, 3.9)
  • GitHub Check: Test Python (3, 3.12)
  • GitHub Check: Test Python (4, 3.12)
  • GitHub Check: Test Python (4, 3.9)
  • GitHub Check: Test Python (5, 3.9)
  • GitHub Check: Test Python (3, 3.9)
  • GitHub Check: Test Python (1, 3.9)
  • GitHub Check: Test Python (2, 3.9)
  • GitHub Check: Test Python (1, 3.12)
  • GitHub Check: Build C library (2.14, >=2.5.0rc0,<2.15, libdeepmd_c_cu11.tar.gz)
  • GitHub Check: Build C library (2.18, libdeepmd_c.tar.gz)
  • GitHub Check: Build C++ (rocm, rocm)
  • GitHub Check: Build C++ (cuda120, cuda)
  • GitHub Check: Build C++ (clang, clang)
  • GitHub Check: Build C++ (cpu, cpu)
  • GitHub Check: Build C++ (cuda, cuda)

Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ Share
🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>, please review it.
    • Explain this complex logic.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai explain this code block.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
    • @coderabbitai read src/utils.ts and explain its main purpose.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    • @coderabbitai help me debug CodeRabbit configuration file.

Support

Need help? Create a ticket on our support page for assistance with any issues or questions.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai generate docstrings to generate docstrings for this PR.
  • @coderabbitai generate sequence diagram to generate a sequence diagram of the changes in this PR.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Other keywords and placeholders

  • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
  • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
  • Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

@github-actions github-actions bot added the Docs label Jul 15, 2025
Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 1

🧹 Nitpick comments (1)
source/install/docker/Dockerfile (1)

11-13: torch gets requested twice – potential re-download/downgrade

Immediately after the manual install, the extras string [..,torch] triggers another resolution step without the custom index, which can:

  1. waste time (already-satisfied check), or
  2. 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]" \
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 5450066 and 2b213f0.

📒 Files selected for processing (3)
  • doc/model/show-model-info.md (0 hunks)
  • doc/train/multi-task-training.md (0 hunks)
  • source/install/docker/Dockerfile (1 hunks)
💤 Files with no reviewable changes (2)
  • doc/train/multi-task-training.md
  • doc/model/show-model-info.md
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (29)
  • GitHub Check: Build wheels for cp311-win_amd64
  • GitHub Check: Build wheels for cp310-manylinux_aarch64
  • GitHub Check: Build wheels for cp311-manylinux_x86_64
  • GitHub Check: Build wheels for cp311-macosx_x86_64
  • GitHub Check: Build wheels for cp311-macosx_arm64
  • GitHub Check: Build wheels for cp311-manylinux_x86_64
  • GitHub Check: Test Python (6, 3.12)
  • GitHub Check: Test Python (5, 3.12)
  • GitHub Check: Test Python (6, 3.9)
  • GitHub Check: Test Python (1, 3.9)
  • GitHub Check: Test Python (4, 3.9)
  • GitHub Check: Test Python (4, 3.12)
  • GitHub Check: Test Python (5, 3.9)
  • GitHub Check: Test Python (3, 3.9)
  • GitHub Check: Test Python (1, 3.12)
  • GitHub Check: Test Python (3, 3.12)
  • GitHub Check: Test Python (2, 3.9)
  • GitHub Check: Test Python (2, 3.12)
  • 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)
  • GitHub Check: Build C++ (rocm, rocm)
  • GitHub Check: Build C++ (cuda120, cuda)
  • GitHub Check: Build C++ (cpu, cpu)
  • GitHub Check: Build C++ (cuda, cuda)
  • GitHub Check: Test C++ (false)
  • GitHub Check: Test C++ (true)
  • GitHub Check: Analyze (c-cpp)
  • GitHub Check: Analyze (python)

Signed-off-by: Jinzhe Zeng <[email protected]>
@codecov
Copy link

codecov bot commented Jul 15, 2025

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 84.72%. Comparing base (5450066) to head (196e202).
⚠️ Report is 78 commits behind head on devel.

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.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
  • 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

@njzjz njzjz marked this pull request as ready for review July 15, 2025 07:03
@njzjz njzjz requested a review from wanghan-iapcm July 15, 2025 07:03
@wanghan-iapcm wanghan-iapcm added this pull request to the merge queue Jul 15, 2025
Merged via the queue into deepmodeling:devel with commit ba42f64 Jul 15, 2025
60 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

Projects

None yet

Development

Successfully merging this pull request may close these issues.

Error: PyTorch backend is not built for Docker image

2 participants