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

Output distance: [tensor(517.9155, device='cuda:0'), tensor(518.2143, device='cuda:0'), tensor(518.0527, device='cuda:0')]

Prediction loss: [tensor(543.0725, device='cuda:0'), tensor(532.3386, device='cuda:0'), tensor(529.2518, 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': 9, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}]

Compressed training loss: [tensor(1033.0781, device='cuda:0'), tensor(1015.8399, device='cuda:0'), tensor(1005.9637, device='cuda:0')]

Training loss: 999.5059204101562

Prediction time: [datetime.timedelta(microseconds=17925), datetime.timedelta(microseconds=10956), datetime.timedelta(microseconds=9960)]

Phi time: [datetime.timedelta(microseconds=5974), datetime.timedelta(microseconds=5972), datetime.timedelta(microseconds=5974)]

