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fix(tf): fix modifier_type in DeepEval #3855
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A downgrade in deepmodeling#3213. Signed-off-by: Jinzhe Zeng <[email protected]>
WalkthroughWalkthroughThe changes primarily focus on enhancing the Changes
Sequence Diagram(s) (Beta)sequenceDiagram
participant User
participant DeepEval
participant TensorFlow
participant TestDPLR
User->>DeepEval: Initialize instance
DeepEval->>DeepEval: _init_tensors
DeepEval->>TensorFlow: Fetch tensor values
TensorFlow-->>DeepEval: Return tensor values
DeepEval->>DeepEval: Set modifier_type in _init_attr
TestDPLR->>DeepEval: Call evaluation functionality
DeepEval->>TensorFlow: Perform evaluation
TensorFlow-->>DeepEval: Return evaluation results
DeepEval-->>TestDPLR: Return results
TestDPLR-->>User: Display test results
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## devel #3855 +/- ##
==========================================
- Coverage 82.67% 82.67% -0.01%
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Files 515 515
Lines 49549 49551 +2
Branches 2989 2985 -4
==========================================
+ Hits 40965 40966 +1
- Misses 7673 7674 +1
Partials 911 911 ☔ View full report in Codecov by Sentry. |
A downgrade in deepmodeling#3213. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **New Features** - Added support for `modifier_type` in the evaluation process to enhance model flexibility. - **Tests** - Introduced unit tests for deep potential model evaluation using TensorFlow. <!-- end of auto-generated comment: release notes by coderabbit.ai --> Signed-off-by: Jinzhe Zeng <[email protected]>
A downgrade in #3213.
Summary by CodeRabbit
modifier_type
in the evaluation process to enhance model flexibility.