updates
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train.py
4
train.py
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@ -232,7 +232,7 @@ def train(
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best_loss = test_loss
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# Save training results
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save = True and not opt.nosave
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save = (not opt.nosave) or (epoch == epochs - 1)
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if save:
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# Create checkpoint
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chkpt = {'epoch': epoch,
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@ -279,7 +279,7 @@ if __name__ == '__main__':
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parser.add_argument('--img-size', type=int, default=416, help='pixels')
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parser.add_argument('--resume', action='store_true', help='resume training flag')
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parser.add_argument('--transfer', action='store_true', help='transfer learning flag')
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parser.add_argument('--num-workers', type=int, default=4, help='number of Pytorch DataLoader workers')
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parser.add_argument('--num-workers', type=int, default=2, help='number of Pytorch DataLoader workers')
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parser.add_argument('--dist-url', default='tcp://127.0.0.1:9999', type=str, help='distributed training init method')
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parser.add_argument('--rank', default=0, type=int, help='distributed training node rank')
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parser.add_argument('--world-size', default=1, type=int, help='number of nodes for distributed training')
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