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b7e985e397
commit
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7
train.py
7
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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@ -232,9 +233,9 @@ def train(hyp, # path/to/hyp.yaml or hyp dictionary
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# Process 0
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if RANK in [-1, 0]:
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valloader = create_dataloader(val_path, imgsz_val, batch_size // WORLD_SIZE * 2, gs, single_cls,
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hyp=hyp, cache=opt.cache_images and not noval, rect=True, rank=-1,
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workers=workers,
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pad=0.5, prefix=colorstr('val: '))[0]
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hyp=hyp, cache=opt.cache_images and not noval, rect=True, rank=-1,
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workers=workers,
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pad=0.5, prefix=colorstr('val: '))[0]
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if not resume:
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labels = np.concatenate(dataset.labels, 0)
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