Precision: [tensor(0.3133, device='cuda:0'), tensor(0.3066, device='cuda:0'), tensor(0.3103, device='cuda:0'), tensor(0.3073, device='cuda:0'), tensor(0.3031, device='cuda:0'), tensor(0.3010, device='cuda:0'), tensor(0.3109, device='cuda:0'), tensor(0.2966, device='cuda:0'), tensor(0.3023, device='cuda:0'), tensor(0.2984, device='cuda:0')]

Output distance: [tensor(6.4264, device='cuda:0'), tensor(6.4663, device='cuda:0'), tensor(6.4442, device='cuda:0'), tensor(6.4626, device='cuda:0'), tensor(6.4878, device='cuda:0'), tensor(6.4999, device='cuda:0'), tensor(6.4405, device='cuda:0'), tensor(6.5266, device='cuda:0'), tensor(6.4925, device='cuda:0'), tensor(6.5156, device='cuda:0')]

Prediction loss: [tensor(21737688., device='cuda:0'), tensor(19382714., device='cuda:0'), tensor(21300610., device='cuda:0'), tensor(14711824., device='cuda:0'), tensor(15877623., device='cuda:0'), tensor(25344428., device='cuda:0'), tensor(17677652., device='cuda:0'), tensor(22319986., device='cuda:0'), tensor(18367238., device='cuda:0'), tensor(19607640., device='cuda:0')]

Others: [{'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}]

Compressed training loss: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

Training loss: 0

Prediction time: [datetime.timedelta(seconds=10, microseconds=402618), datetime.timedelta(seconds=12, microseconds=803154), datetime.timedelta(seconds=16, microseconds=779881), datetime.timedelta(seconds=14, microseconds=491567), datetime.timedelta(seconds=16, microseconds=38968), datetime.timedelta(seconds=15, microseconds=573543), datetime.timedelta(seconds=14, microseconds=728401), datetime.timedelta(seconds=14, microseconds=547394), datetime.timedelta(seconds=14, microseconds=564545), datetime.timedelta(seconds=15, microseconds=464994)]

Phi time: [datetime.timedelta(microseconds=232017), datetime.timedelta(microseconds=239053), datetime.timedelta(microseconds=329602), datetime.timedelta(microseconds=298731), datetime.timedelta(microseconds=348571), datetime.timedelta(microseconds=406275), datetime.timedelta(microseconds=212100), datetime.timedelta(microseconds=290766), datetime.timedelta(microseconds=314665), datetime.timedelta(microseconds=298727)]

