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distributed_synchronization
infrastructure-distributed-synchron-in-distributed-inference-using-ray-if-a-worker-rai-92be13e4
IFIn distributed inference using Ray, if a worker raises an exception before initializing the process group (e.g., due to GPU driver issues), the main process blocks on `dist.init_process_group` while the worker waits for `ray.get`, causing a deadlock.
THENTo avoid deadlock, use a separate thread to monitor Ray workers: one thread waits for worker exceptions via `ray.wait` while the main thread attempts the process group initialization. If any worker fails, abort the initialization and handle the error. Alternatively, ensure all prerequisites (e.g., GPU availability) are checked before starting workers.
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