Increase NCCL timeout to 3 hours (#12345)
* Increase NCCL timeout to 3 hours When training on a large dataset using DDP, the scanning process will be very long, and it will raise NCCL timeout error. Change the default timeout 30min to 3 hours, same as ultralytics yolov8 (https://github.com/ultralytics/ultralytics/pull/3343) Signed-off-by: Troy <wudashuo@vip.qq.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Troy <wudashuo@vip.qq.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@@ -23,7 +23,7 @@ import subprocess
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import sys
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import time
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from copy import deepcopy
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from datetime import datetime
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from datetime import datetime, timedelta
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from pathlib import Path
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try:
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@@ -529,7 +529,8 @@ def main(opt, callbacks=Callbacks()):
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assert torch.cuda.device_count() > LOCAL_RANK, 'insufficient CUDA devices for DDP command'
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torch.cuda.set_device(LOCAL_RANK)
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device = torch.device('cuda', LOCAL_RANK)
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dist.init_process_group(backend='nccl' if dist.is_nccl_available() else 'gloo')
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dist.init_process_group(backend='nccl' if dist.is_nccl_available() else 'gloo',
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timeout=timedelta(seconds=10800))
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# Train
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if not opt.evolve:
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