Rename max_micro_batch_size -> pp_max_micro_batch_size

[merrymercy]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @merrymercy, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request focuses on improving the clarity and explicitness of a key configuration parameter related to pipeline parallelism. By renaming max_micro_batch_size to pp_max_micro_batch_size, the change ensures that the parameter's scope and purpose are immediately clear, reducing potential ambiguity for developers and enhancing the maintainability of the system's distributed training configurations.

Highlights

• Parameter Renaming: The max_micro_batch_size parameter has been consistently renamed to pp_max_micro_batch_size across the codebase to explicitly indicate its association with pipeline parallelism.
• Documentation Update: The documentation for server arguments (docs/advanced_features/server_arguments.md) has been updated to reflect the new parameter name.
• Codebase Consistency: All relevant code files, including http_server.py, schedule_batch.py, scheduler.py, and server_args.py, have been modified to use the new pp_max_micro_batch_size parameter name, ensuring consistency in argument parsing, internal logic, and API examples.

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[gemini-code-assist]

Code Review

This pull request correctly renames max_micro_batch_size to pp_max_micro_batch_size to better signify its connection to pipeline parallelism. The change has been consistently applied across all relevant files, including documentation, code comments, argument definitions, and its usage in the scheduler logic. The refactoring is clean and improves code clarity. I have no further comments.