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DDP torch.jit.trace() --sync-bn fix #4615

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merged 5 commits into from
Aug 30, 2021
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DDP torch.jit.trace() --sync-bn fix #4615

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9d9ed24
Remove assert
glenn-jocher Aug 30, 2021
d5e4fa3
debug0
glenn-jocher Aug 30, 2021
03ce8ad
trace=not opt.sync
glenn-jocher Aug 30, 2021
d24da50
sync to sync_bn fix
glenn-jocher Aug 30, 2021
94b64df
Cleanup
glenn-jocher Aug 30, 2021
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Remove assert
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@glenn-jocher
glenn-jocher committed Aug 30, 2021
commit 9d9ed2411e927ed701bc781ba56b78d9381194b7
1 change: 0 additions & 1 deletion train.py
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Expand Up @@ -499,7 +499,6 @@ def main(opt):
assert opt.batch_size % WORLD_SIZE == 0, '--batch-size must be multiple of CUDA device count'
assert not opt.image_weights, '--image-weights argument is not compatible with DDP training'
assert not opt.evolve, '--evolve argument is not compatible with DDP training'
assert not opt.sync_bn, '--sync-bn known training issue, see https://github.com/ultralytics/yolov5/issues/3998'
torch.cuda.set_device(LOCAL_RANK)
device = torch.device('cuda', LOCAL_RANK)
dist.init_process_group(backend="nccl" if dist.is_nccl_available() else "gloo")
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