I'm having trouble with my PyTorch distributed training setup. It keeps failing with a timeout error.
Timeout errors in distributed training can occur due to various reasons. Have you checked your network configuration and the number of workers?
Yes, I've verified the network settings. I'm using 4 nodes with 2 GPUs each. What else could be causing the issue?
It might be related to the synchronization of your processes. Are you using the correct backend for distributed training, like 'nccl' for GPUs?
I am using 'gloo' since I have a mix of CPU and GPU nodes. Should I switch to 'nccl'?
If you have GPUs, switching to 'nccl' can improve performance and might resolve the timeout issue. Try that and see if it helps!
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