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

Output distance: [tensor(650.5916, device='cuda:0'), tensor(652.3042, device='cuda:0'), tensor(650.0239, device='cuda:0')]

Prediction loss: [tensor(642.0415, device='cuda:0'), tensor(629.8447, device='cuda:0'), tensor(646.3448, device='cuda:0')]

Others: [{'iter_num': 9, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'iter_num': 9, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'iter_num': 11, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}]

Compressed training loss: [tensor(977.2748, device='cuda:0'), tensor(982.7469, device='cuda:0'), tensor(1010.0223, device='cuda:0')]

Training loss: 990.0840454101562

Prediction time: [datetime.timedelta(microseconds=7967), datetime.timedelta(microseconds=6971), datetime.timedelta(microseconds=8962)]

Phi time: [datetime.timedelta(microseconds=6970), datetime.timedelta(microseconds=7964), datetime.timedelta(microseconds=6971)]

