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distributed_training_timeout
infrastructure-distributed-training-when-using-deepspeed-with-transformers-trainer-the-5dae7a15
IFWhen using DeepSpeed with transformers Trainer, the ddp_timeout parameter is ignored and NCCL collectives timeout after 600 seconds.
THENSet the environment variable NCCL_TIMEOUT to the desired timeout in milliseconds before launching the training script (e.g., NCCL_TIMEOUT=3600000). Alternatively, manually initialize the distributed process group with the correct timeout using torch.distributed.init_process_group(..., timeout=timedelta(seconds=3600)) before constructing the Trainer.
Tier 170%
distributed_training_timeout
infrastructure-distributed-training-when-using-huggingface-trainer-with-deepspeed-and--6a7abfd4
IFWhen using HuggingFace Trainer with DeepSpeed and setting ddp_timeout in TrainingArguments, the NCCL timeout defaults to 600 seconds instead of the configured value, causing training to fail with a watchdog timeout error.
THENOverride the timeout by explicitly passing it to torch.distributed.new_group when initializing process groups. In custom code, create a new group with the desired timeout before Trainer starts; alternatively, upgrade transformers to a version where the fix is applied. As a workaround, set the environment variable NCCL_TIMEOUT to the desired value (in milliseconds) before launching training.
Tier 170%
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