XiaoHongbo-Hope opened a new pull request, #9429: URL: https://github.com/apache/paimon/pull/9429
## What changed - Add opt-in distributed sharding for PyTorch streaming datasets. - Resolve rank and world size from explicit arguments, an initialized process group, or torchrun environment variables. - Assign splits with balanced rank-first and worker-second slicing. - Include rank and worker identity in shuffled dataset random state. - Keep distributed sharding disabled by default for applications that already shard splits. ## Validation - PyTorch tests: 40 passed. - CPU torchrun integration: 2 ranks x 2 DataLoader workers, complete split union with no overlap. - flake8, license header check, and git diff --check passed. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
