fix: fix DeepGlobalPolar and DeepWFC initlization

[njzjz]

Fix #3561. Fix #3562.

Not sure if some one uses them, but it's good to keep compatibility.

Summary by CodeRabbit

• New Features

  • Introduced support for "global_polar" and "wfc" mappings in evaluation backend.
  • Added output_def property to define model output for DeepGlobalPolar and DeepWFC classes.

• Bug Fixes

  • Updated test setup to create temporary model files for DeepGlobalPolar and DeepWFC.

• Refactor

  • DeepGlobalPolar and DeepWFC classes now inherit from OldDeepTensor for better structure and functionality.

• Tests

  • Enhanced test coverage to include instantiation checks for DeepGlobalPolar and DeepWFC objects.

[coderabbitai]

Walkthrough

The recent changes introduce mappings for "global_polar" and "wfc" in DeepEvalBackend, update class inheritance and add properties in DeepGlobalPolar and DeepWFC, and create a new OldDeepTensor class. Additionally, the test setup in test_get_potential.py now includes temporary model files for DeepGlobalPolar and DeepWFC.

Changes

Files/Modules	Change Summary
deepmd/infer/deep_eval.py	Added mappings for "global_polar" and "wfc" in DeepEvalBackend's key_map dictionary.
deepmd/infer/deep_polar.py	Updated imports, changed DeepGlobalPolar to inherit from OldDeepTensor, and added output_def property.
deepmd/infer/deep_tensor.py	Introduced OldDeepTensor class inheriting from DeepTensor with an eval_full method raising RuntimeError.
deepmd/infer/deep_wfc.py	Changed DeepWFC to inherit from OldDeepTensor and added output_def property.
source/tests/tf/test_get_potential.py	Added imports, used temporary files for testing, and updated test setup to create temporary model files for DeepGlobalPolar and DeepWFC.

Sequence Diagram(s) (Beta)

sequenceDiagram
    participant Tester
    participant TempFile
    participant DeepGlobalPolar
    participant DeepWFC

    Tester->>+TempFile: Create temporary model files
    TempFile-->>Tester: Return file paths
    Tester->>+DeepGlobalPolar: Instantiate with model file
    Tester->>+DeepWFC: Instantiate with model file
    DeepGlobalPolar-->>Tester: Return instance
    DeepWFC-->>Tester: Return instance

Loading

Assessment against linked issues

Objective	Addressed	Explanation
Add model files for DeepGlobalPolar and DeepWFC in the test setup (#3561, #3562)	✅
Ensure instantiation of DeepGlobalPolar and DeepWFC objects in tests (#3561, #3562)	✅
Convert .pbtxt to .pb for DeepGlobalPolar model in tests (#3562)	✅

---

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

• X
• Mastodon
• Reddit
• LinkedIn

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 Configration 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.

[codecov]

Codecov Report

Attention: Patch coverage is 92.30769% with 1 line in your changes missing coverage. Please review.

Project coverage is 82.54%. Comparing base (12bcc50) to head (1a244b4).
Report is 128 commits behind head on devel.

Files with missing lines	Patch %	Lines
deepmd/infer/deep_tensor.py	66.66%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##            devel    #3834      +/-   ##
==========================================
+ Coverage   82.53%   82.54%   +0.01%     
==========================================
  Files         513      513              
  Lines       49040    49051      +11     
  Branches     2987     2985       -2     
==========================================
+ Hits        40473    40489      +16     
+ Misses       7656     7651       -5     
  Partials      911      911              

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

[coderabbitai]

Actionable comments posted: 1