Precision: [tensor(0.7243, device='cuda:0'), tensor(0.7072, device='cuda:0'), tensor(0.6481, device='cuda:0'), tensor(0.7183, device='cuda:0'), tensor(0.6796, device='cuda:0'), tensor(0.6954, device='cuda:0'), tensor(0.7061, device='cuda:0'), tensor(0.6690, device='cuda:0'), tensor(0.6902, device='cuda:0'), tensor(0.7043, device='cuda:0')]

Output distance: [tensor(74329.0234, device='cuda:0'), tensor(69381.4766, device='cuda:0'), tensor(90473.9297, device='cuda:0'), tensor(60165.1953, device='cuda:0'), tensor(87580.4688, device='cuda:0'), tensor(75529.5703, device='cuda:0'), tensor(79999.4453, device='cuda:0'), tensor(85701.9219, device='cuda:0'), tensor(71141.3672, device='cuda:0'), tensor(75664.8984, device='cuda:0')]

Prediction loss: [tensor(81128.5391, device='cuda:0'), tensor(67103.1719, device='cuda:0'), tensor(85417.3984, device='cuda:0'), tensor(61089.4492, device='cuda:0'), tensor(94624.2578, device='cuda:0'), tensor(84460.4375, device='cuda:0'), tensor(81319.9219, device='cuda:0'), tensor(84347.6953, device='cuda:0'), tensor(74165.1719, device='cuda:0'), tensor(82011.1562, 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(1.9528e+08, device='cuda:0'), tensor(1.9135e+08, device='cuda:0'), tensor(1.9142e+08, device='cuda:0'), tensor(1.9444e+08, device='cuda:0'), tensor(1.8737e+08, device='cuda:0'), tensor(1.9383e+08, device='cuda:0'), tensor(1.9648e+08, device='cuda:0'), tensor(1.8717e+08, device='cuda:0'), tensor(1.9727e+08, device='cuda:0'), tensor(1.9333e+08, device='cuda:0')]

Training loss: 192413472.0

Prediction time: [datetime.timedelta(microseconds=31865), datetime.timedelta(microseconds=38835), datetime.timedelta(microseconds=38835), datetime.timedelta(microseconds=36842), datetime.timedelta(microseconds=37840), datetime.timedelta(microseconds=37839), datetime.timedelta(microseconds=40828), datetime.timedelta(microseconds=36845), datetime.timedelta(microseconds=36841), datetime.timedelta(microseconds=34852)]

Phi time: [datetime.timedelta(seconds=1, microseconds=160566), datetime.timedelta(microseconds=637426), datetime.timedelta(microseconds=628365), datetime.timedelta(microseconds=634521), datetime.timedelta(microseconds=637475), datetime.timedelta(microseconds=636930), datetime.timedelta(microseconds=636380), datetime.timedelta(microseconds=633406), datetime.timedelta(microseconds=640740), datetime.timedelta(microseconds=638281)]

