Clarifiy se_atten_v2 compression doc

[nahso]

#3643

Summary by CodeRabbit

• Documentation
  • Simplified the description for the number of attention layers in the code documentation.
  • Added a notice about model compression compatibility for se_atten_v2 descriptor in the documentation.

[coderabbitai]

Walkthrough

Walkthrough

The recent changes focus on enhancing clarity in the DeePMD-kit documentation regarding attention layers. The updates streamline descriptions by removing specific conditions for model compression and introduce guidance for effectively using model compression with the se_atten_v2 descriptor.

Changes

File Path	Change Summary
deepmd/utils/argcheck.py	Refine documentation for attention layers, simplifying the description by removing a specific condition related to model compression.
doc/freeze/compress.md	Add a notice about model compression requirements for the se_atten_v2 descriptor when the attn_layer training parameter is set to 0.
doc/model/train-se-atten.md	Introduce guidance on model compression for se_atten_v2 descriptor with attn_layer set to 0.

Possibly related issues

• Issue "RuntimeError: can not compress model when attention layer is not 0." when using se_atten_v2 #3643: The documentation changes now clearly state that model compression with the se_atten_v2 descriptor requires attn_layer to be set to 0, directly addressing the user's confusion about the RuntimeError encountered during compression with non-zero attention layers.

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Recent Review Details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between c465038 and 9c2d789.

Files selected for processing (2)

• doc/freeze/compress.md (1 hunks)
• doc/model/train-se-atten.md (1 hunks)

Additional Context Used

LanguageTool (13)

doc/freeze/compress.md (6)

Near line 47: Unpaired symbol: ‘'’ seems to be missing
Context: ...,l+1}-y_{m,l}$. $y_{m,l} = y_m(x_l)$, $y'_{m,l} = y'm(x_l)$ and $y''{m,l} = y''...

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Near line 47: Unpaired symbol: ‘'’ seems to be missing
Context: ...l}$. $y_{m,l} = y_m(x_l)$, $y'_{m,l} = y'm(x_l)$ and $y''{m,l} = y''_m(x_l)$ ar...

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Near line 47: Unpaired symbol: ‘'’ seems to be missing
Context: ...y_m(x_l)$, $y'_{m,l} = y'm(x_l)$ and $y''{m,l} = y''_m(x_l)$ are the value, the...

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Near line 47: Unpaired symbol: ‘'’ seems to be missing
Context: ...y'_{m,l} = y'm(x_l)$ and $y''{m,l} = y''_m(x_l)$ are the value, the first-order...

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Near line 50: This word is normally spelled as one.
Context: ...ice memories, which usually becomes the bottle-neck of the computation due to the relativel...

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Near line 57: It’s possible that the countable noun ‘pad’ after the verb ‘are’ is an error. You may have meant to use the plural form, or an article may be missing.
Context: ...esponding positions of the matrices are pad with zeros. In practice, if the real nu...

doc/model/train-se-atten.md (7)

Near line 110: Possible missing comma found.
Context: ...size of the embedding net. From left to right the members denote the sizes of each hi...

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Near line 111: Unpaired symbol: ‘]’ seems to be missing
Context: ...ix, the axis matrix as explained in the [DeepPot-SE paper](https://arxiv.org/abs/...

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Near line 116: Possible missing comma found.
Context: ...r to mask the diagonal in the attention weights and False is recommended. - {ref}`attn_...

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Near line 142: Possible missing comma found.
Context: ...size of the embedding net. From left to right the members denote the sizes of each hi...

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Near line 144: Unpaired symbol: ‘]’ seems to be missing
Context: ...ix, the axis matrix as explained in the [DeepPot-SE paper](https://arxiv.org/abs/...

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Near line 147: Possible missing comma found.
Context: ...r to mask the diagonal in the attention weights and False is recommended. - {ref}`attn_...

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Near line 224: This noun is normally spelled as one word.
Context: ...----- | | / | Atom type indexes (place holder) | type.raw | Required ...

Additional comments not posted (2)

doc/freeze/compress.md (1)

155-156: The added notice clearly specifies the conditions for model compression with se_atten_v2. This enhances the documentation's clarity and usefulness.

doc/model/train-se-atten.md (1)

166-167: The added notice clearly specifies the conditions for model compression with se_atten_v2. This enhances the documentation's clarity and usefulness.

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 82.19%. Comparing base (49f17cc) to head (9c2d789).
Report is 7 commits behind head on devel.

Additional details and impacted files

@@            Coverage Diff             @@
##            devel    #3727      +/-   ##
==========================================
+ Coverage   82.15%   82.19%   +0.04%     
==========================================
  Files         511      513       +2     
  Lines       47364    47642     +278     
  Branches     2953     2982      +29     
==========================================
+ Hits        38910    39159     +249     
- Misses       7561     7572      +11     
- Partials      893      911      +18     

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