Precision: [tensor(0.9995, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9998, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9998, device='cuda:0'), tensor(0.9995, device='cuda:0')]

Output distance: [tensor(23969.8262, device='cuda:0'), tensor(24047.6816, device='cuda:0'), tensor(24174.8906, device='cuda:0'), tensor(24356.2188, device='cuda:0'), tensor(24254.8379, device='cuda:0'), tensor(24325.1738, device='cuda:0'), tensor(24308.5918, device='cuda:0'), tensor(24167.4512, device='cuda:0'), tensor(24082.3828, device='cuda:0'), tensor(24254.7734, device='cuda:0')]

Prediction loss: [tensor(22454.8477, device='cuda:0'), tensor(22501.8633, device='cuda:0'), tensor(24270.2402, device='cuda:0'), tensor(21498.1992, device='cuda:0'), tensor(23641.1484, device='cuda:0'), tensor(23642.3496, device='cuda:0'), tensor(24927.2441, device='cuda:0'), tensor(25066.4375, device='cuda:0'), tensor(24399.8984, device='cuda:0'), tensor(25291.2715, device='cuda:0')]

Others: [{'num_positive': tensor(5990, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5985, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5986, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5990, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5986, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5988, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5985, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5989, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5989, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5990, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(8530324., device='cuda:0'), tensor(8302837., device='cuda:0'), tensor(8981590., device='cuda:0'), tensor(8649869., device='cuda:0'), tensor(8793243., device='cuda:0'), tensor(8771280., device='cuda:0'), tensor(9117528., device='cuda:0'), tensor(8979325., device='cuda:0'), tensor(8936413., device='cuda:0'), tensor(9162674., device='cuda:0')]

Training loss: 8850186.0

Prediction time: [datetime.timedelta(seconds=83, microseconds=847828), datetime.timedelta(seconds=83, microseconds=14514), datetime.timedelta(seconds=83, microseconds=303330), datetime.timedelta(seconds=83, microseconds=421386), datetime.timedelta(seconds=84, microseconds=145113), datetime.timedelta(seconds=83, microseconds=497749), datetime.timedelta(seconds=83, microseconds=386057), datetime.timedelta(seconds=83, microseconds=595260), datetime.timedelta(seconds=83, microseconds=769332), datetime.timedelta(seconds=83, microseconds=435739)]

Phi time: [datetime.timedelta(seconds=1, microseconds=316805), datetime.timedelta(microseconds=704973), datetime.timedelta(microseconds=699053), datetime.timedelta(microseconds=705284), datetime.timedelta(microseconds=720966), datetime.timedelta(microseconds=719786), datetime.timedelta(microseconds=733891), datetime.timedelta(microseconds=699733), datetime.timedelta(microseconds=704017), datetime.timedelta(microseconds=702296)]

