[Feature Request] test: test serialization & deserialization for models and atomic models #3501
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njzjz
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May 10, 2024
Fix deepmodeling#3501. Fix deepmodeling#3517. Fix deepmodeling#3518. Signed-off-by: Jinzhe Zeng <[email protected]>
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Fix #3501. Fix #3517. Fix #3518. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **Tests** - Expanded testing capabilities for atomic and energy models to improve accuracy and reliability in energy calculations. - Implemented new test cases for atomic and energy models, along with common model test cases, to validate diverse functionalities and calculations. - Introduced test case classes for atomic and energy models with methods to assess parameters, types, outputs, and forward computations. - Added utility functions for testing PyTorch-based deep learning models with a custom backend. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Signed-off-by: Jinzhe Zeng <[email protected]> Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
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mtaillefumier
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Sep 18, 2024
) Fix deepmodeling#3501. Fix deepmodeling#3517. Fix deepmodeling#3518. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **Tests** - Expanded testing capabilities for atomic and energy models to improve accuracy and reliability in energy calculations. - Implemented new test cases for atomic and energy models, along with common model test cases, to validate diverse functionalities and calculations. - Introduced test case classes for atomic and energy models with methods to assess parameters, types, outputs, and forward computations. - Added utility functions for testing PyTorch-based deep learning models with a custom backend. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Signed-off-by: Jinzhe Zeng <[email protected]> Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
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