Support torchrun-style InfiniTrain multi-process launch - #184
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chen2021673 wants to merge 8 commits into
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Support torchrun-style InfiniTrain multi-process launch#184chen2021673 wants to merge 8 commits into
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重新测试： 
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Add a dedicated 8_proc test group containing the 8-process variants of the original basic multi-GPU cases.
Track DataLoader progress by global batches so distributed ranks slice data consistently and can resume/cycle from saved consumption counts. Also scope CCL unique ID files per run, generate NCCL IDs only on the main rank, clean up run-local rendezvous files, and add DataLoader coverage.
- derive parallel state from the global world size - clarify global rank and per-node process semantics - add multi-node rank regression coverage - restore the NCCL-compatible GetUniqueId interface
- add torchrun-style --rdzv_id support - use the shared ID to isolate CCL unique-ID files - preserve automatic run ID generation for single-node runs - document rdzv_id in the multi-node example
- support infini_run with or without the optional -- separator - validate node rank bounds - use infini_run only for the new 8_proc test group - standardize torchrun environment variables and device index mapping - clarify NCCL unique ID filename helpers
- add an _8_proc suffix to multi-process test case IDs - print manual comparison commands when no baseline log directory is set
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概述
本 PR 为 InfiniTrain 增加 torchrun 风格的多进程启动能力，使每个本地进程可以绑定独立 GPU，同时保留现有的单进程多线程运行方式。
主要修改
infini_run支持通过nproc_per_node启动多个子进程，并传递 torchrun 兼容的 rank 环境变量。--分隔启动器参数与训练命令。8_proc测例组，以 8 进程、每进程 1 线程运行 GPT-2 和 Llama3 的 DP、TP、TP+SP、PP 及 TP2+PP2+VPP2 配置。兼容性
原有直接启动方式保持支持：
多进程启动支持以下两种写法：
测试