fix(pt/dp): make dpa2 convertable to .dp format
#4324
Conversation
📝 Walkthrough📝 WalkthroughWalkthroughThe changes involve updating the Changes
Assessment against linked issues
📜 Recent review detailsConfiguration used: CodeRabbit UI 📒 Files selected for processing (2)
🚧 Files skipped from review as they are similar to previous changes (1)
🔇 Additional comments (3)deepmd/dpmodel/descriptor/repformers.py (3)
Updating the
The updated deserialization method accommodates residual variables from both the new
Ensure backward compatibility with previous serialization versions The inclusion of residual variables within the Consider adding unit tests to validate deserialization from both version 1 and version 2 serialized data to ensure backward compatibility. 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? 🪧 TipsChatThere are 3 ways to chat with CodeRabbit:
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)
Other keywords and placeholders
CodeRabbit Configuration File (
|
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 1
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (2)
deepmd/dpmodel/descriptor/repformers.py(4 hunks)deepmd/pt/model/descriptor/repformer_layer.py(4 hunks)
🔇 Additional comments (8)
deepmd/pt/model/descriptor/repformer_layer.py (5)
1298-1298: LGTM: Version bump is appropriate.
The version increment from 1 to 2 correctly reflects the structural changes in the serialization format.
1383-1387: LGTM: Well-structured solution for array serialization.
The introduction of the @variables dictionary properly organizes the NumPy arrays (residual parameters) in the serialized data, directly addressing the issue mentioned in #4295. This structure makes it clear which fields contain array data that requires special handling during serialization.
1402-1402: LGTM: Version compatibility check is properly updated.
The version compatibility check correctly validates against version 2 while maintaining backward compatibility with version 1.
1423-1426: LGTM: Robust deserialization with backward compatibility.
The deserialization logic elegantly handles both the new @variables structure and the old format, ensuring backward compatibility. The fallback mechanism using pop with default values is a clean way to handle both cases.
Line range hint 1298-1426: Verify compatibility with dependent code.
Let's verify that all usages of RepformerLayer are compatible with the new serialization format.
✅ Verification successful
Based on the search results, I can now provide a final response:
Serialization changes are safe and backward compatible
The changes to the serialization format in RepformerLayer are handled properly across all backends (PyTorch, JAX, TensorFlow) with appropriate version checks and backward compatibility. Key findings:
- The version compatibility is explicitly checked during deserialization (
check_version_compatibility(data.pop("@version"), 2, 1)) - All residual parameters are properly serialized and deserialized with consistent handling
- The serialization format is used consistently across the codebase with proper version handling
- Test coverage exists for serialization/deserialization in all backends
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check for any direct access to residual parameters and verify serialization usage
# Test 1: Find all instantiations and usages of RepformerLayer
echo "=== Finding RepformerLayer usages ==="
rg -l "RepformerLayer"
# Test 2: Check for any direct access to residual parameters
echo -e "\n=== Checking for direct access to residual parameters ==="
rg "g[12h]_residual"
# Test 3: Find serialization/deserialization calls
echo -e "\n=== Finding serialize/deserialize calls ==="
rg -A 2 "serialize|deserialize.*RepformerLayer"
Length of output: 246022
deepmd/dpmodel/descriptor/repformers.py (3)
1795-1795: Ensure Consistent Versioning in Serialization
Including "@version": 2 in the serialize method is appropriate for version tracking. However, verify that all related serialization and deserialization methods are consistently updated to handle this version change properly.
1880-1884: Organize Residual Variables Under @variables for Clarity
Serializing g1_residual, g2_residual, and h2_residual under the @variables key improves data organization and aligns with serialization best practices. This change enhances readability and maintains a structured format.
1920-1923: Ensure Proper Deserialization of Residual Variables
The deserialization of g1_residual, g2_residual, and h2_residual now correctly handles the new structure by accessing them from the @variables dictionary. This approach also provides backward compatibility by defaulting to an empty list if the keys are not present.
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## devel #4324 +/- ##
==========================================
- Coverage 84.42% 84.33% -0.09%
==========================================
Files 570 570
Lines 53107 53109 +2
Branches 3059 3059
==========================================
- Hits 44836 44790 -46
- Misses 7307 7354 +47
- Partials 964 965 +1 ☔ View full report in Codecov by Sentry. |
Fix #4295. BTW, I found that there seems no universal uts for
convert-backendcommand.Summary by CodeRabbit
New Features
RepformerLayerclass to version 2, enhancing serialization and deserialization processes.Bug Fixes
deserializemethod to align with the new versioning scheme.