Precision: [tensor(0.4885, device='cuda:0'), tensor(0.4872, device='cuda:0'), tensor(0.4906, device='cuda:0'), tensor(0.4814, device='cuda:0'), tensor(0.4840, device='cuda:0'), tensor(0.4881, device='cuda:0'), tensor(0.4904, device='cuda:0'), tensor(0.4842, device='cuda:0'), tensor(0.4837, device='cuda:0'), tensor(0.4894, device='cuda:0')]

Output distance: [tensor(5.3752, device='cuda:0'), tensor(5.3830, device='cuda:0'), tensor(5.3626, device='cuda:0'), tensor(5.4177, device='cuda:0'), tensor(5.4019, device='cuda:0'), tensor(5.3778, device='cuda:0'), tensor(5.3636, device='cuda:0'), tensor(5.4009, device='cuda:0'), tensor(5.4040, device='cuda:0'), tensor(5.3699, device='cuda:0')]

Prediction loss: [tensor(18126578., device='cuda:0'), tensor(20531566., device='cuda:0'), tensor(16822820., device='cuda:0'), tensor(16953142., device='cuda:0'), tensor(19517680., device='cuda:0'), tensor(16105791., device='cuda:0'), tensor(16997732., device='cuda:0'), tensor(19211768., device='cuda:0'), tensor(19292024., device='cuda:0'), tensor(18843350., 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: [tensor(40807.8672, device='cuda:0'), tensor(40719.1641, device='cuda:0'), tensor(40887.3125, device='cuda:0'), tensor(40771.0273, device='cuda:0'), tensor(40906.2461, device='cuda:0'), tensor(40940.8125, device='cuda:0'), tensor(40927.5078, device='cuda:0'), tensor(40639.3438, device='cuda:0'), tensor(40747.0117, device='cuda:0'), tensor(40868.2227, device='cuda:0')]

Training loss: 0

Prediction time: [datetime.timedelta(microseconds=896916), datetime.timedelta(microseconds=921985), datetime.timedelta(microseconds=904601), datetime.timedelta(microseconds=905469), datetime.timedelta(microseconds=875213), datetime.timedelta(microseconds=889007), datetime.timedelta(microseconds=905169), datetime.timedelta(microseconds=892455), datetime.timedelta(microseconds=888933), datetime.timedelta(microseconds=905791)]

Phi time: [datetime.timedelta(microseconds=318637), datetime.timedelta(microseconds=196712), datetime.timedelta(microseconds=189821), datetime.timedelta(microseconds=178523), datetime.timedelta(microseconds=181530), datetime.timedelta(microseconds=179183), datetime.timedelta(microseconds=176657), datetime.timedelta(microseconds=179810), datetime.timedelta(microseconds=186058), datetime.timedelta(microseconds=180030)]

