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[Feature Request] test: test JIT interface for all models #3518

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njzjz opened this issue Mar 19, 2024 · 0 comments · Fixed by #3767
Closed

[Feature Request] test: test JIT interface for all models #3518

njzjz opened this issue Mar 19, 2024 · 0 comments · Fixed by #3767
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njzjz commented Mar 19, 2024

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@njzjz njzjz added this to the v3.0.0 milestone Mar 19, 2024
@njzjz njzjz self-assigned this May 1, 2024
njzjz added a commit to njzjz/deepmd-kit that referenced this issue May 10, 2024
Fix deepmodeling#3501. Fix deepmodeling#3517. Fix deepmodeling#3518.

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
@njzjz njzjz linked a pull request May 10, 2024 that will close this issue
github-merge-queue bot pushed a commit that referenced this issue May 23, 2024
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 <jinzhe.zeng@rutgers.edu>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
@njzjz njzjz closed this as completed May 23, 2024
mtaillefumier pushed a commit to mtaillefumier/deepmd-kit that referenced this issue 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 <jinzhe.zeng@rutgers.edu>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
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