Precision: [tensor(0.6713, device='cuda:0'), tensor(0.6718, device='cuda:0'), tensor(0.6689, device='cuda:0'), tensor(0.6697, device='cuda:0'), tensor(0.6658, device='cuda:0'), tensor(0.6771, device='cuda:0'), tensor(0.6687, device='cuda:0'), tensor(0.6689, device='cuda:0'), tensor(0.6708, device='cuda:0'), tensor(0.6658, device='cuda:0')]

Output distance: [tensor(4.9635, device='cuda:0'), tensor(4.9625, device='cuda:0'), tensor(4.9682, device='cuda:0'), tensor(4.9667, device='cuda:0'), tensor(4.9745, device='cuda:0'), tensor(4.9520, device='cuda:0'), tensor(4.9688, device='cuda:0'), tensor(4.9682, device='cuda:0'), tensor(4.9646, device='cuda:0'), tensor(4.9745, device='cuda:0')]

Prediction loss: [tensor(20040826., device='cuda:0'), tensor(20146578., device='cuda:0'), tensor(18787750., device='cuda:0'), tensor(18215754., device='cuda:0'), tensor(19309944., device='cuda:0'), tensor(17261084., device='cuda:0'), tensor(18224132., device='cuda:0'), tensor(19312080., device='cuda:0'), tensor(17299030., device='cuda:0'), tensor(16691069., device='cuda:0')]

Others: [{'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}]

Compressed training loss: [tensor(41049.7969, device='cuda:0'), tensor(40739.0078, device='cuda:0'), tensor(40774.1875, device='cuda:0'), tensor(40793.6055, device='cuda:0'), tensor(40973.8047, device='cuda:0'), tensor(40692.8164, device='cuda:0'), tensor(41075.5664, device='cuda:0'), tensor(40829.9492, device='cuda:0'), tensor(40535.2695, device='cuda:0'), tensor(40978.1602, device='cuda:0')]

Training loss: 0

Prediction time: [datetime.timedelta(microseconds=911048), datetime.timedelta(microseconds=914761), datetime.timedelta(microseconds=895376), datetime.timedelta(microseconds=884462), datetime.timedelta(microseconds=884330), datetime.timedelta(microseconds=900116), datetime.timedelta(microseconds=879740), datetime.timedelta(microseconds=872935), datetime.timedelta(microseconds=884341), datetime.timedelta(microseconds=885615)]

Phi time: [datetime.timedelta(microseconds=336776), datetime.timedelta(microseconds=193840), datetime.timedelta(microseconds=222933), datetime.timedelta(microseconds=190248), datetime.timedelta(microseconds=200015), datetime.timedelta(microseconds=210942), datetime.timedelta(microseconds=198621), datetime.timedelta(microseconds=190552), datetime.timedelta(microseconds=200089), datetime.timedelta(microseconds=191882)]

