Precision: [tensor(0.7406, device='cuda:0'), tensor(0.6887, device='cuda:0'), tensor(0.7102, device='cuda:0'), tensor(0.7489, device='cuda:0'), tensor(0.7443, device='cuda:0'), tensor(0.7548, device='cuda:0'), tensor(0.7131, device='cuda:0'), tensor(0.7273, device='cuda:0'), tensor(0.7036, device='cuda:0'), tensor(0.7306, device='cuda:0')]

Output distance: [tensor(5515.8237, device='cuda:0'), tensor(7745.1626, device='cuda:0'), tensor(6184.9971, device='cuda:0'), tensor(5484.6851, device='cuda:0'), tensor(4975.9102, device='cuda:0'), tensor(6108.2358, device='cuda:0'), tensor(5947.5640, device='cuda:0'), tensor(5614.7842, device='cuda:0'), tensor(6374.5454, device='cuda:0'), tensor(6737.9673, device='cuda:0')]

Prediction loss: [tensor(4773.8560, device='cuda:0'), tensor(8671.7510, device='cuda:0'), tensor(6571.2773, device='cuda:0'), tensor(6202.8145, device='cuda:0'), tensor(5261.4194, device='cuda:0'), tensor(6532.9878, device='cuda:0'), tensor(5711.4814, device='cuda:0'), tensor(5738.6172, device='cuda:0'), tensor(5814.9224, device='cuda:0'), tensor(8049.3706, 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(8299967., device='cuda:0'), tensor(8770489., device='cuda:0'), tensor(8660226., device='cuda:0'), tensor(8988686., device='cuda:0'), tensor(8721078., device='cuda:0'), tensor(8799431., device='cuda:0'), tensor(8641483., device='cuda:0'), tensor(8908021., device='cuda:0'), tensor(8430699., device='cuda:0'), tensor(9068865., device='cuda:0')]

Training loss: 8785050.0

Prediction time: [datetime.timedelta(microseconds=41825), datetime.timedelta(microseconds=41824), datetime.timedelta(microseconds=42817), datetime.timedelta(microseconds=42822), datetime.timedelta(microseconds=41824), datetime.timedelta(microseconds=41827), datetime.timedelta(microseconds=45811), datetime.timedelta(microseconds=42820), datetime.timedelta(microseconds=41824), datetime.timedelta(microseconds=44802)]

Phi time: [datetime.timedelta(seconds=1, microseconds=375739), datetime.timedelta(microseconds=780800), datetime.timedelta(microseconds=774497), datetime.timedelta(microseconds=779919), datetime.timedelta(microseconds=781049), datetime.timedelta(microseconds=815116), datetime.timedelta(microseconds=788377), datetime.timedelta(microseconds=788905), datetime.timedelta(microseconds=791550), datetime.timedelta(microseconds=792675)]

