Precision: [tensor(0.9998, device='cuda:0'), tensor(0.9998, device='cuda:0'), tensor(0.9998, device='cuda:0'), tensor(0.9998, device='cuda:0'), tensor(0.9998, device='cuda:0'), tensor(0.9998, device='cuda:0'), tensor(0.9998, device='cuda:0'), tensor(0.9998, device='cuda:0'), tensor(0.9998, device='cuda:0'), tensor(0.9998, device='cuda:0')]

Output distance: [tensor(24958.0859, device='cuda:0'), tensor(24712.6484, device='cuda:0'), tensor(23783.6074, device='cuda:0'), tensor(25576.7031, device='cuda:0'), tensor(24229.6738, device='cuda:0'), tensor(26566.7500, device='cuda:0'), tensor(24408.0137, device='cuda:0'), tensor(24457.6055, device='cuda:0'), tensor(24601.9473, device='cuda:0'), tensor(25575.3809, device='cuda:0')]

Prediction loss: [tensor(23361.5195, device='cuda:0'), tensor(24961.5898, device='cuda:0'), tensor(23095.0078, device='cuda:0'), tensor(25420.3418, device='cuda:0'), tensor(22575.9785, device='cuda:0'), tensor(25593.7910, device='cuda:0'), tensor(25220.1836, device='cuda:0'), tensor(23515.8496, device='cuda:0'), tensor(25538.2715, device='cuda:0'), tensor(24939.8906, 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(8869828., device='cuda:0'), tensor(8905430., device='cuda:0'), tensor(8977757., device='cuda:0'), tensor(8861644., device='cuda:0'), tensor(8779637., device='cuda:0'), tensor(8883144., device='cuda:0'), tensor(9393183., device='cuda:0'), tensor(8717693., device='cuda:0'), tensor(9086747., device='cuda:0'), tensor(8834578., device='cuda:0')]

Training loss: 8850610.0

Prediction time: [datetime.timedelta(microseconds=38837), datetime.timedelta(microseconds=38836), datetime.timedelta(microseconds=39837), datetime.timedelta(microseconds=37840), datetime.timedelta(microseconds=39832), datetime.timedelta(microseconds=37841), datetime.timedelta(microseconds=38836), datetime.timedelta(microseconds=38836), datetime.timedelta(microseconds=39832), datetime.timedelta(microseconds=36845)]

Phi time: [datetime.timedelta(seconds=1, microseconds=323082), datetime.timedelta(microseconds=727336), datetime.timedelta(microseconds=713530), datetime.timedelta(microseconds=720142), datetime.timedelta(microseconds=729510), datetime.timedelta(microseconds=725570), datetime.timedelta(microseconds=720705), datetime.timedelta(microseconds=732983), datetime.timedelta(microseconds=725174), datetime.timedelta(microseconds=726305)]

