deepmodeling / deepmd-kit

A deep learning package for many-body potential energy representation and molecular dynamics
https://docs.deepmodeling.com/projects/deepmd/
GNU Lesser General Public License v3.0
1.41k stars 487 forks source link

fix: correct `exclude_types` in descriptors #3841

Closed iProzd closed 1 month ago

iProzd commented 1 month ago
  1. make exclude_types consistent with mask in nlist for all descriptors. (bugs fixed in dpa1 and dpa2)
  2. add universal tests for descriptor. (now only test_exclude_types)
  3. TestCaseSingleFrameWithNlist in source/tests/pt/model/test_env_mat.py will be removed in a seperate PR.

Summary by CodeRabbit

coderabbitai[bot] commented 1 month ago
Walkthrough ## Walkthrough Recent updates to the `deepmd` project include modifications to several descriptor classes to handle `exclude_mask` and `nlist` reshaping, and the inclusion of an optional `ntypes` parameter for compatibility. Additionally, test cases and utilities have been added to ensure the robustness of these changes. The CI workflow for CUDA has also been streamlined by switching from an external CMake action to a direct pip installation. ## Changes | File(s) | Change Summary | |---------|----------------| | `deepmd/dpmodel/descriptor/dpa1.py` | Modified `call()` function to reshape `exclude_mask` and `nlist`, and update `nlist` calculation using `exclude_mask`. | | `deepmd/dpmodel/descriptor/repformers.py` | Updated `call` function logic to use `np.where` for conditionally replacing values in `nlist` with `-1`. | | `deepmd/dpmodel/descriptor/se_e2_a.py`, `deepmd/dpmodel/descriptor/se_r.py`, `deepmd/dpmodel/descriptor/se_t.py` | Added an optional `ntypes` parameter to the `DescrptSeA`, `DescrptSeR`, and `DescrptSeT` classes for compatibility. | | `deepmd/pt/model/descriptor/se_atten.py` | Modified `forward` method to adjust `sw` behavior based on `nlist_mask` and `exclude_mask`. | | `deepmd/tf/descriptor/se_atten.py` | Updated `_pass_filter` function to include new calculations for `nei_exclude_mask` and `negative_mask`. | | `source/tests/universal/common/cases/cases.py` | Added test case classes for various simulation scenarios. | | `source/tests/universal/common/cases/descriptor/utils.py` | Introduced `DescriptorTestCase` class with methods for setting up test data and conducting tests on forward propagation and excluding types. | | `.github/workflows/test_cuda.yml` | Replaced `lukka/get-cmake` action with `pip install cmake` command in the CI workflow. |

Recent review details **Configuration used: CodeRabbit UI** **Review profile: CHILL**
Commits Files that changed from the base of the PR and between c7aaef504c4bad06b94329dbb53c3971e760c365 and 0e11a4921a59b2d4974b570409c8ae71f6abb90c.
Files selected for processing (1) * .github/workflows/test_cuda.yml (1 hunks)
Files skipped from review as they are similar to previous changes (1) * .github/workflows/test_cuda.yml
--- 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](https://twitter.com/intent/tweet?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A&url=https%3A//coderabbit.ai) - [Mastodon](https://mastodon.social/share?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A%20https%3A%2F%2Fcoderabbit.ai) - [Reddit](https://www.reddit.com/submit?title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&text=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code.%20Check%20it%20out%3A%20https%3A//coderabbit.ai) - [LinkedIn](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fcoderabbit.ai&mini=true&title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&summary=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code)
Tips ### Chat There are 3 ways to chat with [CodeRabbit](https://coderabbit.ai): - Review comments: Directly reply to a review comment made by CodeRabbit. Example: - `I pushed a fix in commit .` - `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](https://docs.coderabbit.ai/guides/configure-coderabbit) 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](https://coderabbit.ai/docs) for detailed information on how to use CodeRabbit. - Join our [Discord Community](https://discord.com/invite/GsXnASn26c) to get help, request features, and share feedback. - Follow us on [X/Twitter](https://twitter.com/coderabbitai) for updates and announcements.
codecov[bot] commented 1 month ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 80.86%. Comparing base (f23c77e) to head (0e11a49).

Additional details and impacted files ```diff @@ Coverage Diff @@ ## devel #3841 +/- ## ========================================== - Coverage 82.63% 80.86% -1.78% ========================================== Files 515 515 Lines 49533 49542 +9 Branches 2985 2985 ========================================== - Hits 40932 40060 -872 - Misses 7690 8576 +886 + Partials 911 906 -5 ```

:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Have feedback on the report? Share it here.