Precision: [tensor(0.9990, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9992, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9992, device='cuda:0'), tensor(0.9988, device='cuda:0'), tensor(0.9995, device='cuda:0'), tensor(0.9990, device='cuda:0')]

Output distance: [tensor(25762.7910, device='cuda:0'), tensor(23943.7031, device='cuda:0'), tensor(28618.8848, device='cuda:0'), tensor(25990.9863, device='cuda:0'), tensor(26317.1680, device='cuda:0'), tensor(25058.5898, device='cuda:0'), tensor(27100.5273, device='cuda:0'), tensor(24696.2480, device='cuda:0'), tensor(24438.1016, device='cuda:0'), tensor(28648.2832, device='cuda:0')]

Prediction loss: [tensor(24772.6406, device='cuda:0'), tensor(24571.2422, device='cuda:0'), tensor(31577.5781, device='cuda:0'), tensor(25643.0234, device='cuda:0'), tensor(26067.8457, device='cuda:0'), tensor(26424.0605, device='cuda:0'), tensor(24017.3652, device='cuda:0'), tensor(26274.1172, device='cuda:0'), tensor(22880.3438, device='cuda:0'), tensor(29914.5977, device='cuda:0')]

Others: [{'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(8860230., device='cuda:0'), tensor(9328094., device='cuda:0'), tensor(9237705., device='cuda:0'), tensor(9137401., device='cuda:0'), tensor(9403666., device='cuda:0'), tensor(8951315., device='cuda:0'), tensor(8897079., device='cuda:0'), tensor(9166124., device='cuda:0'), tensor(8675314., device='cuda:0'), tensor(9286252., device='cuda:0')]

Training loss: 8872032.0

Prediction time: [datetime.timedelta(microseconds=21907), datetime.timedelta(microseconds=20912), datetime.timedelta(microseconds=16927), datetime.timedelta(microseconds=21912), datetime.timedelta(microseconds=22904), datetime.timedelta(microseconds=19917), datetime.timedelta(microseconds=19916), datetime.timedelta(microseconds=16928), datetime.timedelta(microseconds=19913), datetime.timedelta(microseconds=18923)]

Phi time: [datetime.timedelta(seconds=1, microseconds=190194), datetime.timedelta(microseconds=624852), datetime.timedelta(microseconds=624605), datetime.timedelta(microseconds=620961), datetime.timedelta(microseconds=623229), datetime.timedelta(microseconds=622557), datetime.timedelta(microseconds=619110), datetime.timedelta(microseconds=620439), datetime.timedelta(microseconds=619403), datetime.timedelta(microseconds=626086)]

