fix(pt): use eval mode in the Python interface #4404
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Same as deepmodeling#4402 Signed-off-by: Jinzhe Zeng <[email protected]>
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🧹 Outside diff range and nitpick comments (1)
deepmd/pt/infer/deep_eval.py (1)
146-146: LGTM! Consider adding a comment explaining eval mode.The addition of
self.dp.eval()is correct and well-placed. This ensures the model is in evaluation mode which is crucial for inference as it disables training-specific behaviors like dropout and batch normalization updates.Consider adding a comment to explain why eval mode is necessary:
+ # Set model to evaluation mode to disable dropout and batch norm updates self.dp.eval()
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deepmd/pt/infer/deep_eval.py(1 hunks)
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deepmd/pt/infer/deep_eval.py (1)
Line range hint 67-146: Verify eval mode is set consistently across all model loading paths.
The model can be loaded either from .pt or .pth files. Let's verify that both paths properly handle evaluation mode.
✅ Verification successful
Based on the search results, I can generate the final response as we have sufficient information to verify the eval mode consistency:
Eval mode is set consistently across both model loading paths
The code correctly sets eval mode after model loading for both .pt and .pth files. This is evidenced by:
- The final
self.dp.eval()call is made after both loading paths - The call is made at the same indentation level, ensuring it's executed regardless of which path is taken
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check if eval() is consistently called after model loading across the codebase
# Search for model loading patterns followed by eval calls
echo "Checking model loading patterns:"
rg -A 5 "torch\.(?:jit\.)?load.*map_location.*DEVICE"
# Search for potential inconsistencies in eval mode usage
echo -e "\nChecking eval mode patterns:"
rg "\.eval\(\)"
Length of output: 3926
Same as #4402
Summary by CodeRabbit
New Features
Bug Fixes