Precision: [tensor(0.1535, device='cuda:0'), tensor(0.1660, device='cuda:0'), tensor(0.1390, device='cuda:0'), tensor(0.1610, device='cuda:0'), tensor(0.1784, device='cuda:0'), tensor(0.1495, device='cuda:0'), tensor(0.1410, device='cuda:0'), tensor(0.1728, device='cuda:0'), tensor(0.1670, device='cuda:0'), tensor(0.1806, device='cuda:0')]

Output distance: [tensor(21.1046, device='cuda:0'), tensor(21.0293, device='cuda:0'), tensor(21.1914, device='cuda:0'), tensor(21.0596, device='cuda:0'), tensor(20.9553, device='cuda:0'), tensor(21.1282, device='cuda:0'), tensor(21.1793, device='cuda:0'), tensor(20.9885, device='cuda:0'), tensor(21.0233, device='cuda:0'), tensor(20.9417, device='cuda:0')]

Prediction loss: [tensor(99.9755, device='cuda:0'), tensor(101.0222, device='cuda:0'), tensor(102.0976, device='cuda:0'), tensor(100.9305, device='cuda:0'), tensor(103.4132, device='cuda:0'), tensor(101.0283, device='cuda:0'), tensor(98.7381, device='cuda:0'), tensor(101.8740, device='cuda:0'), tensor(101.8441, device='cuda:0'), tensor(102.3771, device='cuda:0')]

Others: [{'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}]

Compressed training loss: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

Training loss: 0

Prediction time: [datetime.timedelta(seconds=1, microseconds=731720), datetime.timedelta(seconds=1, microseconds=724752), datetime.timedelta(seconds=1, microseconds=711807), datetime.timedelta(seconds=1, microseconds=737694), datetime.timedelta(seconds=1, microseconds=720768), datetime.timedelta(seconds=1, microseconds=770559), datetime.timedelta(seconds=1, microseconds=718778), datetime.timedelta(seconds=1, microseconds=698796), datetime.timedelta(seconds=1, microseconds=750572), datetime.timedelta(seconds=1, microseconds=771491)]

Phi time: [datetime.timedelta(seconds=4, microseconds=350301), datetime.timedelta(seconds=4, microseconds=312225), datetime.timedelta(seconds=4, microseconds=260132), datetime.timedelta(seconds=4, microseconds=290765), datetime.timedelta(seconds=4, microseconds=321620), datetime.timedelta(seconds=4, microseconds=323488), datetime.timedelta(seconds=4, microseconds=330379), datetime.timedelta(seconds=4, microseconds=302176), datetime.timedelta(seconds=4, microseconds=281786), datetime.timedelta(seconds=4, microseconds=303867)]

