updates
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train.py
3
train.py
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@ -228,7 +228,7 @@ def train(
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pred = model(imgs)
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# Compute loss
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loss, loss_items = compute_loss(pred, targets, model, giou_loss=False)
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loss, loss_items = compute_loss(pred, targets, model, giou_loss=opt.giou)
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if torch.isnan(loss):
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print('WARNING: nan loss detected, ending training')
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return results
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@ -325,6 +325,7 @@ if __name__ == '__main__':
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parser.add_argument('--backend', default='nccl', type=str, help='distributed backend')
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parser.add_argument('--nosave', action='store_true', help='do not save training results')
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parser.add_argument('--notest', action='store_true', help='only test final epoch')
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parser.add_argument('--giou', action='store_true', help='use GIoU loss instead of xy, wh loss')
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parser.add_argument('--evolve', action='store_true', help='run hyperparameter evolution')
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parser.add_argument('--var', default=0, type=int, help='debug variable')
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opt = parser.parse_args()
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