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

Enable Hybrid Descriptor to be compressed #4297

Merged
merged 2 commits into from
Nov 2, 2024

Conversation

cherryWangY
Copy link
Collaborator

@cherryWangY cherryWangY commented Nov 1, 2024

Summary by CodeRabbit

  • New Features
    • Introduced a new method enable_compression in the DescrptHybrid class, allowing users to configure compression settings related to neighbor distance and table parameters.
  • Documentation
    • Enhanced documentation for the call method, providing clearer descriptions of parameters and return values.

@github-actions github-actions bot added the Python label Nov 1, 2024
Copy link
Contributor

coderabbitai bot commented Nov 1, 2024

📝 Walkthrough

Walkthrough

The changes introduce a new method named enable_compression to the DescrptHybrid class in two files: deepmd/dpmodel/descriptor/hybrid.py and deepmd/pt/model/descriptor/hybrid.py. This method allows for the configuration of neighbor distance and table settings, iterating over a list of descriptors to invoke their respective enable_compression methods. Additionally, the existing call method has been updated with enhanced documentation, but its logic remains unchanged. The overall structure and functionality of the classes are preserved.

Changes

File Path Change Summary
deepmd/dpmodel/descriptor/hybrid.py Added method enable_compression to DescrptHybrid. Updated documentation for call method.
deepmd/pt/model/descriptor/hybrid.py Added method enable_compression to DescrptHybrid. Maintained existing method functionalities.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant DescrptHybrid
    participant Descriptor

    User->>DescrptHybrid: enable_compression(min_nbor_dist, table_extrapolate, ...)
    DescrptHybrid->>Descriptor: enable_compression(...)
    Descriptor-->>DescrptHybrid: Response
    DescrptHybrid-->>User: Completion
Loading

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>, please review it.
    • 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 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 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 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 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.

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: 2

🧹 Outside diff range and nitpick comments (2)
deepmd/dpmodel/descriptor/hybrid.py (2)

213-244: Consider adding error handling for sub-descriptor compression.

The implementation correctly delegates compression to each sub-descriptor, following the established hybrid pattern. However, consider adding error handling to catch and properly report any failures during compression of individual descriptors.

Consider wrapping the compression calls with try-except blocks:

     def enable_compression(
         self,
         min_nbor_dist: float,
         table_extrapolate: float = 5,
         table_stride_1: float = 0.01,
         table_stride_2: float = 0.1,
         check_frequency: int = -1,
     ) -> None:
-        for descrpt in self.descrpt_list:
-            descrpt.enable_compression(
-                min_nbor_dist,
-                table_extrapolate,
-                table_stride_1,
-                table_stride_2,
-                check_frequency,
-            )
+        compression_errors = []
+        for i, descrpt in enumerate(self.descrpt_list):
+            try:
+                descrpt.enable_compression(
+                    min_nbor_dist,
+                    table_extrapolate,
+                    table_stride_1,
+                    table_stride_2,
+                    check_frequency,
+                )
+            except Exception as e:
+                compression_errors.append(f"Failed to compress descriptor {i}: {str(e)}")
+        if compression_errors:
+            raise RuntimeError("\n".join(compression_errors))

221-235: Enhance method documentation.

The docstring could be improved by:

  1. Adding a description of what the method does
  2. Documenting the return value (None)
  3. Adding type hints in the docstring
  4. Mentioning that it operates on all sub-descriptors

Consider updating the docstring:

-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+        """Enable compression for all sub-descriptors using the provided parameters.
+
+        This method configures compression settings for each descriptor in the hybrid
+        descriptor list using statistics from the training data.
 
         Parameters
         ----------
-        min_nbor_dist
+        min_nbor_dist : float
             The nearest distance between atoms
-        table_extrapolate
+        table_extrapolate : float, optional
             The scale of model extrapolation
-        table_stride_1
+        table_stride_1 : float, optional
             The uniform stride of the first table
-        table_stride_2
+        table_stride_2 : float, optional
             The uniform stride of the second table
-        check_frequency
+        check_frequency : int, optional
             The overflow check frequency
+
+        Returns
+        -------
+        None
+
+        Notes
+        -----
+        This method applies the compression settings to all sub-descriptors in the hybrid
+        descriptor list. If any sub-descriptor fails to enable compression, an error will
+        be raised.
         """
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 8355947 and 89e8884.

📒 Files selected for processing (2)
  • deepmd/dpmodel/descriptor/hybrid.py (1 hunks)
  • deepmd/pt/model/descriptor/hybrid.py (1 hunks)

deepmd/pt/model/descriptor/hybrid.py Show resolved Hide resolved
Copy link

codecov bot commented Nov 1, 2024

Codecov Report

Attention: Patch coverage is 33.33333% with 4 lines in your changes missing coverage. Please review.

Project coverage is 84.34%. Comparing base (8355947) to head (89e8884).
Report is 5 commits behind head on devel.

Files with missing lines Patch % Lines
deepmd/dpmodel/descriptor/hybrid.py 33.33% 2 Missing ⚠️
deepmd/pt/model/descriptor/hybrid.py 33.33% 2 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##            devel    #4297      +/-   ##
==========================================
- Coverage   84.35%   84.34%   -0.02%     
==========================================
  Files         559      559              
  Lines       52509    52516       +7     
  Branches     3054     3054              
==========================================
  Hits        44292    44292              
- Misses       7260     7265       +5     
- Partials      957      959       +2     

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

@wanghan-iapcm wanghan-iapcm added this pull request to the merge queue Nov 2, 2024
Merged via the queue into deepmodeling:devel with commit 6bc730f Nov 2, 2024
60 checks passed
@cherryWangY cherryWangY deleted the addHybrid branch December 5, 2024 14:20
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.

3 participants