Precision: [tensor(0.5396, device='cuda:0'), tensor(0.5378, device='cuda:0'), tensor(0.5413, device='cuda:0'), tensor(0.5436, device='cuda:0'), tensor(0.5437, device='cuda:0'), tensor(0.5382, device='cuda:0'), tensor(0.5399, device='cuda:0'), tensor(0.5422, device='cuda:0'), tensor(0.5465, device='cuda:0'), tensor(0.5463, device='cuda:0')]

Output distance: [tensor(5.0685, device='cuda:0'), tensor(5.0795, device='cuda:0'), tensor(5.0580, device='cuda:0'), tensor(5.0444, device='cuda:0'), tensor(5.0438, device='cuda:0'), tensor(5.0769, device='cuda:0'), tensor(5.0669, device='cuda:0'), tensor(5.0528, device='cuda:0'), tensor(5.0270, device='cuda:0'), tensor(5.0281, device='cuda:0')]

Prediction loss: [tensor(17282704., device='cuda:0'), tensor(18408472., device='cuda:0'), tensor(20098830., device='cuda:0'), tensor(16561664., device='cuda:0'), tensor(18874048., device='cuda:0'), tensor(18180792., device='cuda:0'), tensor(18597576., device='cuda:0'), tensor(18135084., device='cuda:0'), tensor(20103302., device='cuda:0'), tensor(18995606., 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(40918.5820, device='cuda:0'), tensor(40830.4766, device='cuda:0'), tensor(40840.2539, device='cuda:0'), tensor(40790.1758, device='cuda:0'), tensor(40769.3516, device='cuda:0'), tensor(40830.2695, device='cuda:0'), tensor(40740.5156, device='cuda:0'), tensor(40868.0273, device='cuda:0'), tensor(40819.3867, device='cuda:0'), tensor(40839.9648, device='cuda:0')]

Training loss: 0

Prediction time: [datetime.timedelta(microseconds=932225), datetime.timedelta(microseconds=940616), datetime.timedelta(microseconds=897806), datetime.timedelta(microseconds=918908), datetime.timedelta(microseconds=904541), datetime.timedelta(microseconds=905528), datetime.timedelta(microseconds=898792), datetime.timedelta(microseconds=904566), datetime.timedelta(microseconds=948272), datetime.timedelta(microseconds=905471)]

Phi time: [datetime.timedelta(microseconds=224068), datetime.timedelta(microseconds=210523), datetime.timedelta(microseconds=209713), datetime.timedelta(microseconds=218749), datetime.timedelta(microseconds=206658), datetime.timedelta(microseconds=208458), datetime.timedelta(microseconds=206521), datetime.timedelta(microseconds=222708), datetime.timedelta(microseconds=207691), datetime.timedelta(microseconds=208123)]

