Precision: [tensor(0.6758, device='cuda:0'), tensor(0.6646, device='cuda:0'), tensor(0.6839, device='cuda:0'), tensor(0.6963, device='cuda:0'), tensor(0.6761, device='cuda:0'), tensor(0.6455, device='cuda:0'), tensor(0.6353, device='cuda:0'), tensor(0.6804, device='cuda:0'), tensor(0.6772, device='cuda:0'), tensor(0.6630, device='cuda:0')]

Output distance: [tensor(9606.8740, device='cuda:0'), tensor(9776.5010, device='cuda:0'), tensor(11921.1602, device='cuda:0'), tensor(9298.1611, device='cuda:0'), tensor(10391.6758, device='cuda:0'), tensor(12318.8154, device='cuda:0'), tensor(11574.2061, device='cuda:0'), tensor(12326.0195, device='cuda:0'), tensor(9886.5010, device='cuda:0'), tensor(10374.7764, device='cuda:0')]

Prediction loss: [tensor(9749.4355, device='cuda:0'), tensor(9973.3604, device='cuda:0'), tensor(14141.0977, device='cuda:0'), tensor(9699.9531, device='cuda:0'), tensor(9963.3037, device='cuda:0'), tensor(13707.9824, device='cuda:0'), tensor(12077.8682, device='cuda:0'), tensor(13891.1436, device='cuda:0'), tensor(10663.0801, device='cuda:0'), tensor(8914.5635, device='cuda:0')]

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

Compressed training loss: [tensor(8822694., device='cuda:0'), tensor(8848533., device='cuda:0'), tensor(9025423., device='cuda:0'), tensor(8573037., device='cuda:0'), tensor(8675168., device='cuda:0'), tensor(8888220., device='cuda:0'), tensor(9010405., device='cuda:0'), tensor(8824352., device='cuda:0'), tensor(8830044., device='cuda:0'), tensor(8581051., device='cuda:0')]

Training loss: 8877396.0

Prediction time: [datetime.timedelta(microseconds=45806), datetime.timedelta(microseconds=50784), datetime.timedelta(microseconds=46801), datetime.timedelta(microseconds=45806), datetime.timedelta(microseconds=46803), datetime.timedelta(microseconds=46801), datetime.timedelta(microseconds=44809), datetime.timedelta(microseconds=42810), datetime.timedelta(microseconds=45805), datetime.timedelta(microseconds=43812)]

Phi time: [datetime.timedelta(seconds=1, microseconds=365129), datetime.timedelta(microseconds=743384), datetime.timedelta(microseconds=734961), datetime.timedelta(microseconds=743179), datetime.timedelta(microseconds=744064), datetime.timedelta(microseconds=743140), datetime.timedelta(microseconds=745501), datetime.timedelta(microseconds=746179), datetime.timedelta(microseconds=741472), datetime.timedelta(microseconds=746282)]

