Precision: [tensor(0.4352, device='cuda:0'), tensor(0.4390, device='cuda:0'), tensor(0.4398, device='cuda:0'), tensor(0.4364, device='cuda:0'), tensor(0.4367, device='cuda:0'), tensor(0.4335, device='cuda:0'), tensor(0.4421, device='cuda:0'), tensor(0.4330, device='cuda:0'), tensor(0.4343, device='cuda:0'), tensor(0.4383, device='cuda:0')]

Output distance: [tensor(5.6949, device='cuda:0'), tensor(5.6724, device='cuda:0'), tensor(5.6671, device='cuda:0'), tensor(5.6876, device='cuda:0'), tensor(5.6860, device='cuda:0'), tensor(5.7049, device='cuda:0'), tensor(5.6535, device='cuda:0'), tensor(5.7081, device='cuda:0'), tensor(5.7002, device='cuda:0'), tensor(5.6766, device='cuda:0')]

Prediction loss: [tensor(18268410., device='cuda:0'), tensor(17407146., device='cuda:0'), tensor(16594036., device='cuda:0'), tensor(21745520., device='cuda:0'), tensor(15628398., device='cuda:0'), tensor(20493050., device='cuda:0'), tensor(19554806., device='cuda:0'), tensor(22023580., device='cuda:0'), tensor(15312105., device='cuda:0'), tensor(18203620., device='cuda:0')]

Others: [{'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, 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=98374), datetime.timedelta(seconds=1, microseconds=82425), datetime.timedelta(seconds=1, microseconds=108336), datetime.timedelta(seconds=1, microseconds=49527), datetime.timedelta(seconds=1, microseconds=49525), datetime.timedelta(microseconds=976832), datetime.timedelta(microseconds=972901), datetime.timedelta(microseconds=934080), datetime.timedelta(microseconds=959009), datetime.timedelta(microseconds=981833)]

Phi time: [datetime.timedelta(microseconds=249949), datetime.timedelta(microseconds=257915), datetime.timedelta(microseconds=246994), datetime.timedelta(microseconds=224053), datetime.timedelta(microseconds=260948), datetime.timedelta(microseconds=246016), datetime.timedelta(microseconds=278821), datetime.timedelta(microseconds=225003), datetime.timedelta(microseconds=230976), datetime.timedelta(microseconds=252940)]

