Precision: [tensor(0.5559, device='cuda:0'), tensor(0.5538, device='cuda:0'), tensor(0.5541, device='cuda:0'), tensor(0.5477, device='cuda:0'), tensor(0.5530, device='cuda:0'), tensor(0.5493, device='cuda:0'), tensor(0.5527, device='cuda:0'), tensor(0.5532, device='cuda:0'), tensor(0.5477, device='cuda:0'), tensor(0.5515, device='cuda:0')]

Output distance: [tensor(4.9709, device='cuda:0'), tensor(4.9835, device='cuda:0'), tensor(4.9814, device='cuda:0'), tensor(5.0202, device='cuda:0'), tensor(4.9882, device='cuda:0'), tensor(5.0102, device='cuda:0'), tensor(4.9898, device='cuda:0'), tensor(4.9871, device='cuda:0'), tensor(5.0202, device='cuda:0'), tensor(4.9971, device='cuda:0')]

Prediction loss: [tensor(17529308., device='cuda:0'), tensor(19489690., device='cuda:0'), tensor(19685082., device='cuda:0'), tensor(19321082., device='cuda:0'), tensor(19727484., device='cuda:0'), tensor(19805960., device='cuda:0'), tensor(19507892., device='cuda:0'), tensor(18877860., device='cuda:0'), tensor(18910804., device='cuda:0'), tensor(19945878., 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(40816.3555, device='cuda:0'), tensor(40850.9805, device='cuda:0'), tensor(40926.6797, device='cuda:0'), tensor(41113.9531, device='cuda:0'), tensor(40816.4180, device='cuda:0'), tensor(40870.6836, device='cuda:0'), tensor(40864.9844, device='cuda:0'), tensor(40787.2969, device='cuda:0'), tensor(41083.9062, device='cuda:0'), tensor(40996.1484, device='cuda:0')]

Training loss: 0

Prediction time: [datetime.timedelta(microseconds=926180), datetime.timedelta(microseconds=938969), datetime.timedelta(microseconds=938800), datetime.timedelta(microseconds=949984), datetime.timedelta(microseconds=913598), datetime.timedelta(microseconds=921455), datetime.timedelta(microseconds=932383), datetime.timedelta(microseconds=903168), datetime.timedelta(microseconds=914363), datetime.timedelta(microseconds=899922)]

Phi time: [datetime.timedelta(microseconds=435707), datetime.timedelta(microseconds=231944), datetime.timedelta(microseconds=245146), datetime.timedelta(microseconds=217707), datetime.timedelta(microseconds=237505), datetime.timedelta(microseconds=225078), datetime.timedelta(microseconds=223628), datetime.timedelta(microseconds=244145), datetime.timedelta(microseconds=226266), datetime.timedelta(microseconds=232050)]

