Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

feat: load customized OP library in the C++ interface #4073

Merged
merged 2 commits into from
Aug 26, 2024

Conversation

njzjz
Copy link
Member

@njzjz njzjz commented Aug 21, 2024

Fix #4041.

Summary by CodeRabbit

  • New Features

    • Added documentation for integrating customized C++ operations (OPs) in both PyTorch and TensorFlow models.
    • Introduced guidelines on using the DP_PLUGIN_PATH environment variable for loading custom OP libraries.
    • Clarified the usage of environment variables in the context of a C++ interface, improving usability for third-party programs.
  • Documentation

    • Enhanced documentation to provide clearer instructions for model development with custom C++ functionality.

Fix deepmodeling#4041.

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
Copy link
Contributor

coderabbitai bot commented Aug 21, 2024

Walkthrough

Walkthrough

The changes enhance the documentation and functionality related to loading customized C++ operations (OPs) in both PyTorch and TensorFlow. New sections provide clear guidance on creating and loading OP libraries, improving usability for model developers. Additionally, the C++ library loading mechanism has been modularized, facilitating dynamic loading of additional libraries via the DP_PLUGIN_PATH environment variable, aligning with the objectives of the linked feature request.

Changes

Files Change Summary
doc/development/create-a-model-pt.md, doc/development/create-a-model-tf.md Added sections detailing the creation and loading of custom C++ OP libraries for PyTorch and TensorFlow, respectively.
doc/env.md Introduced documentation on environment variables, specifically DP_PLUGIN_PATH, for third-party program integration.
source/api_cc/src/common.cc Restructured library loading functions for clarity and reusability; enhanced loading capabilities for custom plugins.

Assessment against linked issues

Objective Addressed Explanation
Customized OPs support in C++ interface (#[4041])
Mechanism to find plugins using environment variables (#[4041])

Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between de2ff1f and a7792b2.

Files selected for processing (1)
  • source/api_cc/src/common.cc (2 hunks)
Additional context used
GitHub Check: codecov/patch
source/api_cc/src/common.cc

[warning] 414-414: source/api_cc/src/common.cc#L414
Added line #L414 was not covered by tests


[warning] 418-419: source/api_cc/src/common.cc#L418-L419
Added lines #L418 - L419 were not covered by tests


[warning] 422-423: source/api_cc/src/common.cc#L422-L423
Added lines #L422 - L423 were not covered by tests

Additional comments not posted (2)
source/api_cc/src/common.cc (2)

Line range hint 380-388: LGTM! The _load_library_path function is well-implemented.

The function correctly handles library loading for different platforms and provides an informative error message if loading fails.


393-399: LGTM! The _load_single_op_library function is well-implemented.

The function correctly constructs the library path based on the operating system and delegates loading to _load_library_path.


Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

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>.
    • Generate unit testing code for this file.
    • 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 generate unit testing code for this file.
    • @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 generate interesting stats about this repository and render them as a table.
    • @coderabbitai show all the console.log statements in this repository.
    • @coderabbitai read src/utils.ts and generate unit testing code.
    • @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.

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 as 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 resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

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.

@njzjz njzjz linked an issue Aug 21, 2024 that may be closed by this pull request
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: 0

Outside diff range, codebase verification and nitpick comments (1)
source/api_cc/src/common.cc (1)

Line range hint 380-388: Improve error message for platform-specific guidance.

The error message in _load_library_path suggests setting LD_LIBRARY_PATH, which is specific to Unix-like systems. Consider adding platform-specific guidance for Windows as well.

Apply this diff to improve the error message:

  if (!dso_handle) {
#if defined(_WIN32)
    throw deepmd::deepmd_exception(
        dso_path +
        " is not found! You can add the library directory to PATH");
#else
    throw deepmd::deepmd_exception(
        dso_path +
        " is not found! You can add the library directory to LD_LIBRARY_PATH");
#endif
  }

@njzjz
Copy link
Member Author

njzjz commented Aug 21, 2024

Not sure what's wrong here

  Caused by: Request failed after 3 retries
  Caused by: error sending request for url (https://pypi.org/simple/werkzeug/)
  Caused by: operation timed out

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
Copy link

codecov bot commented Aug 21, 2024

Codecov Report

Attention: Patch coverage is 41.66667% with 7 lines in your changes missing coverage. Please review.

Project coverage is 82.93%. Comparing base (f6c1352) to head (a7792b2).
Report is 5 commits behind head on devel.

Files Patch % Lines
source/api_cc/src/common.cc 41.66% 6 Missing and 1 partial ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##            devel    #4073      +/-   ##
==========================================
- Coverage   82.95%   82.93%   -0.03%     
==========================================
  Files         522      522              
  Lines       51044    51054      +10     
  Branches     3028     3030       +2     
==========================================
- Hits        42343    42341       -2     
- Misses       7756     7764       +8     
- Partials      945      949       +4     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

@njzjz
Copy link
Member Author

njzjz commented Aug 23, 2024

I've tested it and it works.

@njzjz njzjz marked this pull request as ready for review August 23, 2024 02:46
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

source/api_cc/src/common.cc Show resolved Hide resolved
@wanghan-iapcm wanghan-iapcm added this pull request to the merge queue Aug 26, 2024
github-merge-queue bot pushed a commit that referenced this pull request Aug 26, 2024
Fix #4041.

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit


- **New Features**
- Added documentation for integrating customized C++ operations (OPs) in
both PyTorch and TensorFlow models.
- Introduced guidelines on using the `DP_PLUGIN_PATH` environment
variable for loading custom OP libraries.
- Clarified the usage of environment variables in the context of a C++
interface, improving usability for third-party programs.

- **Documentation**
- Enhanced documentation to provide clearer instructions for model
development with custom C++ functionality.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
@github-merge-queue github-merge-queue bot removed this pull request from the merge queue due to failed status checks Aug 26, 2024
@njzjz njzjz added this pull request to the merge queue Aug 26, 2024
Merged via the queue into deepmodeling:devel with commit bf4f203 Aug 26, 2024
60 checks passed
@njzjz njzjz deleted the cxx-customized-plugin branch August 26, 2024 05:57
mtaillefumier pushed a commit to mtaillefumier/deepmd-kit that referenced this pull request Sep 18, 2024
)

Fix deepmodeling#4041.

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit


- **New Features**
- Added documentation for integrating customized C++ operations (OPs) in
both PyTorch and TensorFlow models.
- Introduced guidelines on using the `DP_PLUGIN_PATH` environment
variable for loading custom OP libraries.
- Clarified the usage of environment variables in the context of a C++
interface, improving usability for third-party programs.

- **Documentation**
- Enhanced documentation to provide clearer instructions for model
development with custom C++ functionality.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

[Feature Request] OP plugins for C++ interface
2 participants