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@ -151,6 +151,7 @@ def train(hyp):
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world_size=1, # number of nodes
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world_size=1, # number of nodes
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rank=0) # node rank
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rank=0) # node rank
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model = torch.nn.parallel.DistributedDataParallel(model)
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model = torch.nn.parallel.DistributedDataParallel(model)
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# pip install torch==1.4.0+cu100 torchvision==0.5.0+cu100 -f https://download.pytorch.org/whl/torch_stable.html
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# Dataset
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# Dataset
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dataset = LoadImagesAndLabels(train_path, imgsz, batch_size,
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dataset = LoadImagesAndLabels(train_path, imgsz, batch_size,
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