Precision: [tensor(0.2724, device='cuda:0'), tensor(0.2707, device='cuda:0'), tensor(0.2827, device='cuda:0'), tensor(0.2956, device='cuda:0'), tensor(0.2825, device='cuda:0'), tensor(0.2922, device='cuda:0'), tensor(0.2843, device='cuda:0'), tensor(0.2905, device='cuda:0'), tensor(0.3017, device='cuda:0'), tensor(0.2882, device='cuda:0')]

Output distance: [tensor(20.3909, device='cuda:0'), tensor(20.4015, device='cuda:0'), tensor(20.3292, device='cuda:0'), tensor(20.2515, device='cuda:0'), tensor(20.3301, device='cuda:0'), tensor(20.2724, device='cuda:0'), tensor(20.3198, device='cuda:0'), tensor(20.2823, device='cuda:0'), tensor(20.2152, device='cuda:0'), tensor(20.2963, device='cuda:0')]

Prediction loss: [tensor(105.6682, device='cuda:0'), tensor(104.7115, device='cuda:0'), tensor(106.8259, device='cuda:0'), tensor(106.4677, device='cuda:0'), tensor(106.0436, device='cuda:0'), tensor(104.8028, device='cuda:0'), tensor(105.1336, device='cuda:0'), tensor(105.3648, device='cuda:0'), tensor(105.8974, device='cuda:0'), tensor(106.7570, device='cuda:0')]

Others: [{'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}]

Compressed training loss: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

Training loss: 0

Prediction time: [datetime.timedelta(seconds=210, microseconds=193438), datetime.timedelta(seconds=210, microseconds=733569), datetime.timedelta(seconds=210, microseconds=761015), datetime.timedelta(seconds=210, microseconds=979863), datetime.timedelta(seconds=210, microseconds=603701), datetime.timedelta(seconds=210, microseconds=843841), datetime.timedelta(seconds=209, microseconds=745649), datetime.timedelta(seconds=210, microseconds=962157), datetime.timedelta(seconds=209, microseconds=817572), datetime.timedelta(seconds=210, microseconds=573433)]

Phi time: [datetime.timedelta(seconds=4, microseconds=399930), datetime.timedelta(seconds=4, microseconds=346888), datetime.timedelta(seconds=4, microseconds=318672), datetime.timedelta(seconds=4, microseconds=357636), datetime.timedelta(seconds=4, microseconds=327913), datetime.timedelta(seconds=4, microseconds=324683), datetime.timedelta(seconds=4, microseconds=363030), datetime.timedelta(seconds=4, microseconds=392812), datetime.timedelta(seconds=4, microseconds=355890), datetime.timedelta(seconds=4, microseconds=349847)]

