feat(pt/tf): init-(frz)-model use pretrain script

[iProzd]

Support --use-pretrain-script for pt&tf when doing init-(frz)-model.

Summary by CodeRabbit

• Tests
  • Enhanced and added new test cases for deep learning model initialization and evaluation.
  • Improved setup and cleanup processes for temporary files and directories in tests to ensure a cleaner test environment.

[coderabbitai]

Walkthrough

Walkthrough

The recent updates involve extensive enhancements to the test_init_frz_model.py file and the introduction of a new test file, test_init_model.py. The changes in test_init_frz_model.py include importing necessary modules, updating configurations, handling temporary files, and adding robust testing for multiple DeepPot instances. The cleanup process is also implemented. The test_init_model.py file includes new tests for initializing different deep learning models and verifying their performance on input data for consistency.

Changes

Files	Change Summary
source/tests/pt/test_init_frz_model.py	Imported os, shutil, tempfile. Updated config, added logic for multiple cases, managed temp files, extended tests, implemented tearDown.
source/tests/pt/test_init_model.py	Introduced test cases for initializing deep learning models, set up models, evaluated input data, ensured consistency.

Sequence Diagram(s)

sequenceDiagram
    participant Tester
    participant TempFileHandler
    participant DeepPotInstance
    participant ModelEvaluator

    Tester ->> TempFileHandler: Create temporary files
    Tester ->>+ DeepPotInstance: Initialize DeepPot instances
    DeepPotInstance -->> Tester: DeepPot instances created
    Tester ->> ModelEvaluator: Evaluate input data with DeepPot instances
    ModelEvaluator -->> Tester: Evaluation results
    Tester ->> DeepPotInstance: Validate assertions
    Tester ->> TempFileHandler: Clean up temporary files and directories

    Note over Tester, TempFileHandler: Temporary files and directories are managed before and after the tests.
    Note over Tester, DeepPotInstance, ModelEvaluator: Multiple DeepPot instances are created and evaluated to ensure consistency and correctness.

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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 dcef48c and 5bb1474.

Files selected for processing (2)

• source/tests/pt/test_init_frz_model.py (5 hunks)
• source/tests/pt/test_init_model.py (1 hunks)

Files skipped from review as they are similar to previous changes (2)

• source/tests/pt/test_init_frz_model.py
• source/tests/pt/test_init_model.py

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[codecov]

Codecov Report

Attention: Patch coverage is 19.04762% with 17 lines in your changes missing coverage. Please review.

Project coverage is 82.83%. Comparing base (c98185c) to head (5bb1474).
Report is 111 commits behind head on devel.

Files with missing lines	Patch %	Lines
deepmd/tf/entrypoints/train.py	6.25%	15 Missing ⚠️
deepmd/pt/entrypoints/main.py	60.00%	2 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##            devel    #3926      +/-   ##
==========================================
- Coverage   82.89%   82.83%   -0.06%     
==========================================
  Files         520      520              
  Lines       50696    50828     +132     
  Branches     3015     3011       -4     
==========================================
+ Hits        42023    42103      +80     
- Misses       7738     7787      +49     
- Partials      935      938       +3     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

[wanghan-iapcm]

shall we design a test case for this feature?

[coderabbitai]

Actionable comments posted: 1