Add `--sync-bn` known issue (#4032)
* Add `--sync-bn` known issue * Update train.py
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train.py
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train.py
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@ -217,6 +217,7 @@ def train(hyp, # path/to/hyp.yaml or hyp dictionary
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# SyncBatchNorm
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if opt.sync_bn and cuda and RANK != -1:
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raise Exception('can not train with --sync-bn, known issue https://github.com/ultralytics/yolov5/issues/3998')
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model = torch.nn.SyncBatchNorm.convert_sync_batchnorm(model).to(device)
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logger.info('Using SyncBatchNorm()')
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