Fix DistBackendError

✅ Solution

DistBackendError in accelerate often indicates communication problems between processes, such as NCCL timeouts or CUDA out-of-memory issues during distributed training/inference. Try reducing batch size, gradient accumulation steps, or using gradient checkpointing to alleviate memory pressure; for NCCL timeouts, increase the timeout value using the `NCCL_BLOCKING_WAIT=1 NCCL_DEBUG=INFO NCCL_TIMEOUT=<timeout_in_seconds>` environment variables to allow more time for communication. You can also set communication reduction strategies like `torch.distributed.algorithms.ddp_comm_hooks.default_hooks.fp16_compress_hook`