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

Output distance: [tensor(557.4115, device='cuda:0'), tensor(555.2018, device='cuda:0'), tensor(567.6812, device='cuda:0')]

Prediction loss: [tensor(555.0797, device='cuda:0'), tensor(523.3891, device='cuda:0'), tensor(544.6065, device='cuda:0')]

Others: [{'iter_num': 15, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'iter_num': 7, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'iter_num': 23, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}]

Compressed training loss: [tensor(1040.3607, device='cuda:0'), tensor(984.0486, device='cuda:0'), tensor(1046.2457, device='cuda:0')]

Training loss: 1017.3937377929688

Prediction time: [datetime.timedelta(microseconds=57757), datetime.timedelta(microseconds=11950), datetime.timedelta(microseconds=31865)]

Phi time: [datetime.timedelta(microseconds=6971), datetime.timedelta(microseconds=5974), datetime.timedelta(microseconds=7967)]

