fix: fix PT AutoBatchSize OOM bug and merge execute_all into base

[njzjz]

Fix #4036. Fix #4037.

Summary by CodeRabbit

• New Features

  • Improved batch processing methods to enhance compatibility with various array-like objects through Array API integration.
  • Added a new test suite to validate the functionality of the AutoBatchSize class under different conditions, ensuring robust behavior with GPU resources.

• Bug Fixes

  • Removed the outdated execute_all method, streamlining batch execution processes.

• Documentation

  • Updated minimum TensorFlow version requirement to 2.7 for backend compatibility.
  • Clarified installation instructions to reflect the updated TensorFlow version requirement.

• Chores

  • Specified minimum NumPy version dependency as 1.21 in project configuration.

[coderabbitai]

Walkthrough

Walkthrough

The changes primarily involve the removal of the execute_all method from the AutoBatchSize class, simplifying the batch processing logic. The batch handling functions have been updated to support a broader range of array types by integrating Array API compatibility. Additionally, unit tests for the AutoBatchSize functionality have been introduced, enhancing the robustness and reliability of batch processing features.

Changes

File Path	Change Summary
deepmd/pt/utils/auto_batch_size.py	Removed execute_all method, simplifying batch processing logic.
deepmd/utils/batch_size.py	Updated execute_with_batch_size to utilize Array API compatibility, enhancing input flexibility.
source/tests/common/test_auto_batch_size.py	Introduced unit tests for AutoBatchSize, validating behavior under various conditions.
doc/backend.md	Updated minimum TensorFlow version requirement from 2.2 to 2.7.
doc/install/install-from-source.md	Specified updated minimum TensorFlow version support from 2.2 to 2.7 in installation instructions.
pyproject.toml	Changed numpy dependency to require version 1.21 or higher for compatibility with new features.

Assessment against linked issues

Objective	Addressed	Explanation
Runtime error handling improvements for batch processing (#4036)	❌	The removal of execute_all may introduce new issues without sufficient error handling.
Merge PT AutoBatchSize.execute_all into the common one (#4037)	✅	The method has been removed, addressing the merge suggestion.

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[coderabbitai]

Actionable comments posted: 2

Outside diff range, codebase verification and nitpick comments (1)

deepmd/utils/batch_size.py (1)

159-160: Add a brief note about Array API compatibility.

To improve clarity, add a brief note in the docstring about the Array API compatibility.

+        This method is compatible with Array API, allowing it to handle various array-like objects.

[coderabbitai]

Actionable comments posted: 1

[codecov]

Codecov Report

Attention: Patch coverage is 96.77419% with 1 line in your changes missing coverage. Please review.

Project coverage is 82.94%. Comparing base (8201ebc) to head (9d38cb8).
Report is 138 commits behind head on devel.

Files with missing lines	Patch %	Lines
deepmd/utils/batch_size.py	96.77%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##            devel    #4047      +/-   ##
==========================================
- Coverage   82.95%   82.94%   -0.02%     
==========================================
  Files         522      522              
  Lines       51039    51020      -19     
  Branches     3028     3028              
==========================================
- Hits        42338    42317      -21     
- Misses       7756     7757       +1     
- Partials      945      946       +1     

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