Precision: [tensor(0.6858, device='cuda:0'), tensor(0.6976, device='cuda:0'), tensor(0.6789, device='cuda:0'), tensor(0.6893, device='cuda:0'), tensor(0.7139, device='cuda:0'), tensor(0.7424, device='cuda:0'), tensor(0.7117, device='cuda:0'), tensor(0.6912, device='cuda:0'), tensor(0.6699, device='cuda:0'), tensor(0.7174, device='cuda:0')]

Output distance: [tensor(78441.7031, device='cuda:0'), tensor(70415.5703, device='cuda:0'), tensor(81390.5859, device='cuda:0'), tensor(68561., device='cuda:0'), tensor(69233.3516, device='cuda:0'), tensor(57477.8242, device='cuda:0'), tensor(67826.2578, device='cuda:0'), tensor(68422.9609, device='cuda:0'), tensor(75387.7500, device='cuda:0'), tensor(66566.1094, device='cuda:0')]

Prediction loss: [tensor(65433.9141, device='cuda:0'), tensor(71522.5234, device='cuda:0'), tensor(84177.0234, device='cuda:0'), tensor(67509.4844, device='cuda:0'), tensor(66711.6484, device='cuda:0'), tensor(54437.4375, device='cuda:0'), tensor(63495.9922, device='cuda:0'), tensor(65437.6172, device='cuda:0'), tensor(74097.7266, device='cuda:0'), tensor(74735.5781, device='cuda:0')]

Others: [{'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(1.8646e+08, device='cuda:0'), tensor(1.9089e+08, device='cuda:0'), tensor(1.9197e+08, device='cuda:0'), tensor(1.9118e+08, device='cuda:0'), tensor(1.9527e+08, device='cuda:0'), tensor(1.9256e+08, device='cuda:0'), tensor(1.9305e+08, device='cuda:0'), tensor(1.8816e+08, device='cuda:0'), tensor(1.9149e+08, device='cuda:0'), tensor(1.9351e+08, device='cuda:0')]

Training loss: 191991168.0

Prediction time: [datetime.timedelta(microseconds=39828), datetime.timedelta(microseconds=45806), datetime.timedelta(microseconds=43814), datetime.timedelta(microseconds=43812), datetime.timedelta(microseconds=47800), datetime.timedelta(microseconds=42819), datetime.timedelta(microseconds=42820), datetime.timedelta(microseconds=44809), datetime.timedelta(microseconds=43815), datetime.timedelta(microseconds=44810)]

Phi time: [datetime.timedelta(seconds=1, microseconds=361222), datetime.timedelta(microseconds=744263), datetime.timedelta(microseconds=738356), datetime.timedelta(microseconds=743567), datetime.timedelta(microseconds=743923), datetime.timedelta(microseconds=743284), datetime.timedelta(microseconds=743517), datetime.timedelta(microseconds=739544), datetime.timedelta(microseconds=749500), datetime.timedelta(microseconds=747188)]

