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fix: don't distinguish nlist types in high model interfaces #4386

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merged 2 commits into from
Nov 21, 2024

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@njzjz njzjz commented Nov 20, 2024

It will be distinguished in the low interfaces anyway.

Summary by CodeRabbit

  • New Features

    • Enhanced handling of atomic types in model predictions, simplifying neighbor list processing.
    • Updated logic for neighbor list construction, improving clarity and consistency.
  • Bug Fixes

    • Adjusted logic for distinguishing atomic types, potentially improving model performance.
  • Documentation

    • Improved docstrings for methods to clarify expected input shapes and parameters.

It will be distinguished in the low interfaces anyway.

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>

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Copilot reviewed 3 out of 3 changed files in this pull request and generated no suggestions.

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coderabbitai bot commented Nov 20, 2024

📝 Walkthrough
📝 Walkthrough

Walkthrough

The changes in this pull request involve modifications to the model_call_from_call_lower function and related methods in three files: make_model.py in the deepmd directory for different backends. The primary adjustment is the setting of the distinguish_types parameter to False in the build_neighbor_list function, indicating that type distinction will occur at a lower interface. This simplification affects how neighbor lists are constructed and processed without altering the overall structure or functionality of the model or its methods.

Changes

File Path Change Summary
deepmd/dpmodel/model/make_model.py Modified model_call_from_call_lower to set distinguish_types to False in build_neighbor_list. Simplified logic for neighbor list processing.
deepmd/jax/jax2tf/make_model.py Similar modification in model_call_from_call_lower to set distinguish_types to False. Logic for neighbor list processing simplified.
deepmd/pt/model/model/make_model.py Adjusted mixed_types parameter in forward_common method to True. Updated format_nlist to handle neighbor list formatting based on atomic types. Method signatures for forward_common and format_nlist updated.

Possibly related PRs

  • feat(jax): freeze to StableXLO & DeepEval #4256: The changes in this PR involve modifications to the model_call_from_call_lower function, which is also the focus of the main PR. Both PRs adjust the handling of the distinguish_types parameter in the build_neighbor_list function call, indicating a direct relationship in their code changes.

Suggested reviewers

  • wanghan-iapcm
  • iProzd

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📥 Commits

Reviewing files that changed from the base of the PR and between b9f640b and d3e244b.


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📥 Commits

Reviewing files that changed from the base of the PR and between b9f640b and d3e244b.

📒 Files selected for processing (1)
  • deepmd/pt/model/model/make_model.py (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
  • deepmd/pt/model/model/make_model.py

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Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (3)
deepmd/jax/jax2tf/make_model.py (1)

Line range hint 1-114: Consider documenting the architectural decision.

The change represents a significant architectural decision about where type distinction occurs in the model interface hierarchy. This kind of design decision should be documented for future maintainers.

Consider adding a note to the project's architecture documentation explaining:

  1. Why type distinction was moved to lower interfaces
  2. The benefits of this approach
  3. How it affects the interface hierarchy
deepmd/dpmodel/model/make_model.py (1)

111-113: LGTM! Good architectural decision to move type distinction to lower interfaces.

The change to set distinguish_types=False aligns well with the PR objective of simplifying high-level model interfaces. The comment clearly documents that type distinction will still occur in lower interfaces, maintaining the functionality while improving the design by moving this complexity down the stack.

deepmd/pt/model/model/make_model.py (1)

178-180: Consider documenting this architectural change

Moving type distinction to lower interfaces is a significant architectural change that:

  1. Simplifies the high-level interface
  2. Centralizes type distinction logic
  3. May improve performance by avoiding redundant processing

Consider:

  • Adding documentation about this architectural decision
  • Updating relevant API documentation
  • Adding migration guides if this is a breaking change
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 6039e0b and b9f640b.

📒 Files selected for processing (3)
  • deepmd/dpmodel/model/make_model.py (1 hunks)
  • deepmd/jax/jax2tf/make_model.py (1 hunks)
  • deepmd/pt/model/model/make_model.py (1 hunks)
🔇 Additional comments (2)
deepmd/jax/jax2tf/make_model.py (1)

93-95: LGTM! Clear explanation for the architectural change.

The change aligns with the PR objective of moving type distinction to lower interfaces, and the added comments clearly explain the reasoning.

Let's verify the consistency of this change across other model interfaces:

✅ Verification successful

Based on the search results, I can now generate the final response:

Verified: Type distinction consistently moved to lower interfaces

The change to set distinguish_types=False in the high-level interface is consistent across the codebase:

  • In JAX implementation: deepmd/jax/jax2tf/make_model.py sets distinguish_types=False
  • In PyTorch implementation: deepmd/pt/utils/nlist.py handles type distinction based on mixed_types parameter
  • In DPModel implementation: deepmd/dpmodel/model/make_model.py sets distinguish_types=False

The type distinction is now consistently handled at the lower interface level through the mixed_types parameter, as evidenced by the implementation in utility modules.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check if similar changes were made in other model interfaces
# Expected: All high-level model interfaces should set distinguish_types=False

# Search for build_neighbor_list calls in model interfaces
rg -A 5 "build_neighbor_list\(" --type py

# Search for distinguish_types parameter specifically
rg "distinguish_types\s*=" --type py

Length of output: 29782

deepmd/pt/model/model/make_model.py (1)

178-180: LGTM: Moving type distinction to lower interfaces

The change aligns with the PR objective to handle type distinction in lower interfaces, which simplifies the high-level model interface.

Let's verify the consistency of this architectural change:

✅ Verification successful

Let me analyze the results and generate additional verification scripts to check the lower interfaces.


Let me verify the implementation of _format_nlist to understand how type distinction is handled in lower interfaces.


Based on the code analysis and verification results, I can now provide a final response:

Verified: Type distinction moved to lower interfaces

The change to set mixed_types=False in the high-level interface is correct and consistent with the codebase architecture:

  1. The _format_nlist implementation in lower interfaces handles type-related processing, as evidenced by the neighbor list formatting logic in both PyTorch and base model implementations.
  2. The type distinction is properly maintained through the type map and type-related methods (get_type_map, etc.) in the lower-level descriptor and fitting components.
  3. The change aligns with the modular design where type-specific behaviors are encapsulated in the appropriate lower-level interfaces.
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify that type distinction is handled in lower interfaces
# and that this change is consistent across the codebase

# Check if other high-level interfaces have similar changes
rg -A 5 "mixed_types\s*=\s*" --type py

# Check for any remaining type distinction logic in high-level interfaces
ast-grep --pattern 'def forward_common($$$) {
  $$$
  nlist_distinguish_types($$$)
  $$$
}'

Length of output: 73034


Script:

#!/bin/bash
# Check for type distinction handling in lower interfaces
# Look for functions that handle type distinction

# Search for type distinction in lower level interfaces
rg -A 5 "def _format_nlist" --type py

# Search for any type-related processing in descriptor implementations
rg -A 5 "def get_type" --type py

# Look for type distinction in neighbor list processing
ast-grep --pattern 'def _format_nlist($$$) {
  $$$
  type$_
  $$$
}'

Length of output: 26378


Script:

#!/bin/bash
# Check the implementation of _format_nlist in make_model.py files
# This will help verify if type distinction is properly handled in lower interfaces

# Look for _format_nlist implementation
rg -A 15 "def _format_nlist.*\(" deepmd/pt/model/model/make_model.py deepmd/dpmodel/model/make_model.py

# Check for any type-related sorting or processing in these implementations
ast-grep --pattern 'def _format_nlist($$$) {
  $$$
  sort_by_type$_
  $$$
}'

Length of output: 2381

@njzjz njzjz marked this pull request as draft November 20, 2024 03:30
@njzjz njzjz marked this pull request as ready for review November 20, 2024 04:30
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codecov bot commented Nov 20, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 84.50%. Comparing base (6039e0b) to head (d3e244b).
Report is 6 commits behind head on devel.

Additional details and impacted files
@@           Coverage Diff           @@
##            devel    #4386   +/-   ##
=======================================
  Coverage   84.50%   84.50%           
=======================================
  Files         604      604           
  Lines       56945    56943    -2     
  Branches     3487     3486    -1     
=======================================
- Hits        48121    48120    -1     
+ Misses       7698     7696    -2     
- Partials     1126     1127    +1     

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@wanghan-iapcm wanghan-iapcm added this pull request to the merge queue Nov 21, 2024
Merged via the queue into deepmodeling:devel with commit 6febc71 Nov 21, 2024
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