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Doc: ZBL pytorch #3435

Merged
merged 15 commits into from
Apr 30, 2024
Merged

Doc: ZBL pytorch #3435

merged 15 commits into from
Apr 30, 2024

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anyangml
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@anyangml anyangml commented Mar 8, 2024

pytorch and tf should be able to use the same zbl input.json #3498

Summary by CodeRabbit

  • Documentation
    • Expanded the list of supported backends for interpolation or combination with a pairwise potential in DeePMD-kit documentation to include PyTorch and DP models alongside TensorFlow. Icons for each backend have been added for clearer representation.

@anyangml anyangml marked this pull request as draft March 8, 2024 07:14
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Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 82.15%. Comparing base (ee47e75) to head (71b0fe4).

❗ Current head 71b0fe4 differs from pull request most recent head e407d39. Consider uploading reports for the commit e407d39 to get more accurate results

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@@           Coverage Diff           @@
##            devel    #3435   +/-   ##
=======================================
  Coverage   82.15%   82.15%           
=======================================
  Files         511      511           
  Lines       47364    47364           
  Branches     2952     2952           
=======================================
  Hits        38910    38910           
  Misses       7561     7561           
  Partials      893      893           

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@github-actions github-actions bot added the Docs label Mar 8, 2024
@anyangml anyangml self-assigned this Mar 8, 2024
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anyangml commented Mar 12, 2024

@wanghan-iapcm feels like we can leave this unchanged based on our discussion.

  1. during training, user knows what type_map to use, thus, three models should share the same type_map.
  2. during fine tuning, the new type_map should also be the same for three models, and the old type_map stored in sub-models will be remapped to the new type_map.

we can probably close this PR and the Issue.

@njzjz njzjz linked an issue Mar 19, 2024 that may be closed by this pull request
@anyangml anyangml changed the title chore: provide multiple typemap zbl torch Doc: ZBL pytorch Apr 30, 2024
@anyangml anyangml requested a review from njzjz April 30, 2024 10:05
@anyangml anyangml marked this pull request as ready for review April 30, 2024 10:06
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coderabbitai bot commented Apr 30, 2024

Walkthrough

Walkthrough

The recent update to DeePMD-kit broadens its interoperability by incorporating support for PyTorch and DP models alongside the existing TensorFlow backend. This enhancement facilitates more versatile handling of pairwise potentials in interpolation or combination scenarios, thereby expanding the toolkit's applicability in molecular dynamics simulations.

Changes

File Path Changes
.../pairtab.md Added icons and text to indicate support for PyTorch and DP models in sections discussing interpolation and combination with pairwise potentials. Updated supported backends to include TensorFlow, PyTorch, and DP. Adjusted existing sections to specify TensorFlow support explicitly.

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Commits Files that changed from the base of the PR and between ee47e75 and e407d39.
Files selected for processing (1)
  • doc/model/pairtab.md (3 hunks)
Additional Context Used
LanguageTool (104)
doc/model/pairtab.md (104)

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Context: ... combination with a pairwise potential {{ tensorflow_icon }} {{ pytorch_icon }} {{...


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Context: ... a pairwise potential {{ tensorflow_icon }} {{ pytorch_icon }} {{ dpmodel_icon }} ...


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Context: ...irwise potential {{ tensorflow_icon }} {{ pytorch_icon }} {{ dpmodel_icon }} :::{...


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Context: ...al {{ tensorflow_icon }} {{ pytorch_icon }} {{ dpmodel_icon }} :::{note} **Suppor...


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Context: ...on }} {{ pytorch_icon }} {{ dpmodel_icon }} :::{note} Supported backends: Ten...


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Context: ...te} Supported backends: TensorFlow {{ tensorflow_icon }}, PyTorch {{ pytorch_i...


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Context: ...ke the radiation damage simulation, the interatomic distance may become too close, so that ...


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Context: ...ced by an empirical potential, like the Ziegler-Biersack-Littmark (ZBL) screened nuclear repulsion potent...


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Context: ...n the radiation damage simulations. The DeePMD-kit package supports the interpolation betw...


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Additional comments not posted (4)
doc/model/pairtab.md (4)

1-4: Changes accurately reflect the expanded backend support. Good use of visual icons to denote supported models.


50-50: Inclusion of the TensorFlow icon here maintains visual consistency across the document.


83-83: The JSON configuration example is clear and enhances the documentation by providing practical usage guidance.


Line range hint 9-48: The mathematical expressions and their descriptions are well-detailed and informative, adding educational value to the documentation.


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@njzjz njzjz added this pull request to the merge queue Apr 30, 2024
Merged via the queue into deepmodeling:devel with commit 95d92e9 Apr 30, 2024
51 checks passed
mtaillefumier pushed a commit to mtaillefumier/deepmd-kit that referenced this pull request Sep 18, 2024
pytorch and tf should be able to use the same zbl input.json
deepmodeling#3498

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

- **Documentation**
- Expanded the list of supported backends for interpolation or
combination with a pairwise potential in DeePMD-kit documentation to
include PyTorch and DP models alongside TensorFlow. Icons for each
backend have been added for clearer representation.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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[Feature Request]ZBLModel Input reformat
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