Precision: [tensor(0.3104, device='cuda:0'), tensor(0.3040, device='cuda:0'), tensor(0.3012, device='cuda:0'), tensor(0.2996, device='cuda:0'), tensor(0.3045, device='cuda:0'), tensor(0.3038, device='cuda:0'), tensor(0.3030, device='cuda:0'), tensor(0.3106, device='cuda:0'), tensor(0.2975, device='cuda:0'), tensor(0.3072, device='cuda:0')]

Output distance: [tensor(6.4437, device='cuda:0'), tensor(6.4820, device='cuda:0'), tensor(6.4988, device='cuda:0'), tensor(6.5083, device='cuda:0'), tensor(6.4794, device='cuda:0'), tensor(6.4836, device='cuda:0'), tensor(6.4883, device='cuda:0'), tensor(6.4426, device='cuda:0'), tensor(6.5214, device='cuda:0'), tensor(6.4631, device='cuda:0')]

Prediction loss: [tensor(19533124., device='cuda:0'), tensor(22400564., device='cuda:0'), tensor(19743832., device='cuda:0'), tensor(21366786., device='cuda:0'), tensor(19406270., device='cuda:0'), tensor(16827696., device='cuda:0'), tensor(26153892., device='cuda:0'), tensor(17832884., device='cuda:0'), tensor(17684002., device='cuda:0'), tensor(18407554., 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(microseconds=996772), datetime.timedelta(seconds=1, microseconds=9721), datetime.timedelta(microseconds=962917), datetime.timedelta(microseconds=982834), datetime.timedelta(microseconds=953955), datetime.timedelta(microseconds=951964), datetime.timedelta(microseconds=966901), datetime.timedelta(microseconds=966901), datetime.timedelta(microseconds=962916), datetime.timedelta(microseconds=977855)]

Phi time: [datetime.timedelta(microseconds=224053), datetime.timedelta(microseconds=220069), datetime.timedelta(microseconds=202146), datetime.timedelta(microseconds=202143), datetime.timedelta(microseconds=205133), datetime.timedelta(microseconds=191190), datetime.timedelta(microseconds=190192), datetime.timedelta(microseconds=202143), datetime.timedelta(microseconds=191189), datetime.timedelta(microseconds=195177)]

