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

Output distance: [tensor(692.1037, device='cuda:0'), tensor(683.5059, device='cuda:0'), tensor(682.7090, device='cuda:0')]

Prediction loss: [tensor(724.3217, device='cuda:0'), tensor(691.8421, device='cuda:0'), tensor(684.2103, device='cuda:0')]

Others: [{'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}]

Compressed training loss: [tensor(979.4819, device='cuda:0'), tensor(945.4878, device='cuda:0'), tensor(949.2733, device='cuda:0')]

Training loss: 951.5794067382812

Prediction time: [datetime.timedelta(0), datetime.timedelta(microseconds=995), datetime.timedelta(0)]

Phi time: [datetime.timedelta(microseconds=6970), datetime.timedelta(microseconds=6972), datetime.timedelta(microseconds=6971)]

