Precision: [tensor(0.7113, device='cuda:0'), tensor(0.7168, device='cuda:0'), tensor(0.7472, device='cuda:0'), tensor(0.7093, device='cuda:0'), tensor(0.7432, device='cuda:0'), tensor(0.7364, device='cuda:0'), tensor(0.7238, device='cuda:0'), tensor(0.7642, device='cuda:0'), tensor(0.7422, device='cuda:0'), tensor(0.7032, device='cuda:0')]

Output distance: [tensor(17618.8730, device='cuda:0'), tensor(14019.8057, device='cuda:0'), tensor(11773.1748, device='cuda:0'), tensor(14445.4707, device='cuda:0'), tensor(14190.9014, device='cuda:0'), tensor(12689.4814, device='cuda:0'), tensor(13623.6094, device='cuda:0'), tensor(17698.6406, device='cuda:0'), tensor(11486.0596, device='cuda:0'), tensor(13693.6914, device='cuda:0')]

Prediction loss: [tensor(20685.7871, device='cuda:0'), tensor(15497.8037, device='cuda:0'), tensor(13539.7734, device='cuda:0'), tensor(16606.6660, device='cuda:0'), tensor(16620.7051, device='cuda:0'), tensor(12450.1123, device='cuda:0'), tensor(14772.3467, device='cuda:0'), tensor(23294.0859, device='cuda:0'), tensor(11806.7080, device='cuda:0'), tensor(13131.1465, 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(3657075., device='cuda:0'), tensor(3605532., device='cuda:0'), tensor(3720497., device='cuda:0'), tensor(3613314.2500, device='cuda:0'), tensor(3574451., device='cuda:0'), tensor(3684003.7500, device='cuda:0'), tensor(3686119.7500, device='cuda:0'), tensor(4026972.5000, device='cuda:0'), tensor(3468563.7500, device='cuda:0'), tensor(3422291.7500, device='cuda:0')]

Training loss: 3587287.25

Prediction time: [datetime.timedelta(microseconds=43815), datetime.timedelta(microseconds=42819), datetime.timedelta(microseconds=46800), datetime.timedelta(microseconds=45805), datetime.timedelta(microseconds=46802), datetime.timedelta(microseconds=41822), datetime.timedelta(microseconds=47797), datetime.timedelta(microseconds=44810), datetime.timedelta(microseconds=42819), datetime.timedelta(microseconds=39833)]

Phi time: [datetime.timedelta(seconds=1, microseconds=320749), datetime.timedelta(microseconds=744799), datetime.timedelta(microseconds=738073), datetime.timedelta(microseconds=744135), datetime.timedelta(microseconds=742423), datetime.timedelta(microseconds=741579), datetime.timedelta(microseconds=742277), datetime.timedelta(microseconds=736576), datetime.timedelta(microseconds=739646), datetime.timedelta(microseconds=740744)]

