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

Output distance: [tensor(638.6014, device='cuda:0'), tensor(640.2311, device='cuda:0'), tensor(639.9122, device='cuda:0')]

Prediction loss: [tensor(635.3207, device='cuda:0'), tensor(640.8983, device='cuda:0'), tensor(626.8510, device='cuda:0')]

Others: [{'iter_num': 11, '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(1053.6461, device='cuda:0'), tensor(1075.9966, device='cuda:0'), tensor(1024.8204, device='cuda:0')]

Training loss: 1032.253662109375

Prediction time: [datetime.timedelta(microseconds=27876), datetime.timedelta(microseconds=15931), datetime.timedelta(microseconds=22903)]

Phi time: [datetime.timedelta(microseconds=12946), datetime.timedelta(microseconds=9959), datetime.timedelta(microseconds=13941)]

