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torch.barrier has a fixed limited timeout depending on its backend so won't help keep all MCT managed processes alive. So we need a new barrier mechanism. This implementation is a refactor of existing SyncActor but made it more general to serve as a barrier between clients.
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Uses a llama 8b math dataset instead of qwen open_r1. Modifies the generation length and sequence length to see rewards and hillclimbing in 5 steps.
(mlflow green curve)[https://dbc-559ffd80-2bfc.cloud.databricks.com/ml/experiments/3739963835954932/runs?o=7395834863327820&searchFilter=&orderByKey=attributes.start_time&orderByAsc=false&startTime=ALL&lifecycleFilter=Active&modelVersionFilter=All+Runs&datasetsFilter=W10%3D&compareRunsMode=CHART]