Precision: [tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0')]

Output distance: [tensor(38117.2656, device='cuda:0'), tensor(38229.1094, device='cuda:0'), tensor(38277.1445, device='cuda:0'), tensor(38387.1328, device='cuda:0'), tensor(37946.2461, device='cuda:0'), tensor(38006.6797, device='cuda:0'), tensor(37978.0781, device='cuda:0'), tensor(37950.6172, device='cuda:0'), tensor(37985.8086, device='cuda:0'), tensor(37843.9023, device='cuda:0')]

Prediction loss: [tensor(37238.0508, device='cuda:0'), tensor(39763.9961, device='cuda:0'), tensor(37115.4805, device='cuda:0'), tensor(38867.1758, device='cuda:0'), tensor(38152.1641, device='cuda:0'), tensor(39271.5703, device='cuda:0'), tensor(38708.6523, device='cuda:0'), tensor(38457.1641, device='cuda:0'), tensor(39610.5781, device='cuda:0'), tensor(37852.3281, device='cuda:0')]

Others: [{'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(3514213.7500, device='cuda:0'), tensor(3627275.5000, device='cuda:0'), tensor(3494570.2500, device='cuda:0'), tensor(3623944.2500, device='cuda:0'), tensor(3554633., device='cuda:0'), tensor(3663566., device='cuda:0'), tensor(3616168.2500, device='cuda:0'), tensor(3613844.7500, device='cuda:0'), tensor(3711116.2500, device='cuda:0'), tensor(3547664.2500, device='cuda:0')]

Training loss: 3577702.5

Prediction time: [datetime.timedelta(microseconds=62734), datetime.timedelta(microseconds=65721), datetime.timedelta(microseconds=66717), datetime.timedelta(microseconds=64725), datetime.timedelta(microseconds=65724), datetime.timedelta(microseconds=65720), datetime.timedelta(microseconds=65724), datetime.timedelta(microseconds=65721), datetime.timedelta(microseconds=64726), datetime.timedelta(microseconds=65721)]

Phi time: [datetime.timedelta(seconds=1, microseconds=508990), datetime.timedelta(microseconds=949177), datetime.timedelta(microseconds=930359), datetime.timedelta(microseconds=952111), datetime.timedelta(microseconds=951078), datetime.timedelta(microseconds=956115), datetime.timedelta(microseconds=955959), datetime.timedelta(microseconds=961050), datetime.timedelta(microseconds=952722), datetime.timedelta(microseconds=957748)]

