Precision: [tensor(0.7543, device='cuda:0'), tensor(0.7791, device='cuda:0'), tensor(0.7448, device='cuda:0'), tensor(0.7429, device='cuda:0'), tensor(0.7643, device='cuda:0'), tensor(0.7542, device='cuda:0'), tensor(0.7425, device='cuda:0'), tensor(0.7047, device='cuda:0'), tensor(0.7411, device='cuda:0'), tensor(0.7497, device='cuda:0')]

Output distance: [tensor(41192.2852, device='cuda:0'), tensor(34113.0859, device='cuda:0'), tensor(45949.1367, device='cuda:0'), tensor(42726.4297, device='cuda:0'), tensor(42118.0859, device='cuda:0'), tensor(44984.2812, device='cuda:0'), tensor(50162.2930, device='cuda:0'), tensor(56984.2305, device='cuda:0'), tensor(43631.3203, device='cuda:0'), tensor(41485.6758, device='cuda:0')]

Prediction loss: [tensor(40369.9023, device='cuda:0'), tensor(31851.2793, device='cuda:0'), tensor(48789.1094, device='cuda:0'), tensor(44214.5664, device='cuda:0'), tensor(42374.1211, device='cuda:0'), tensor(42941.3477, device='cuda:0'), tensor(57885.9609, device='cuda:0'), tensor(53239.9766, device='cuda:0'), tensor(41745.3320, device='cuda:0'), tensor(40646.6602, device='cuda:0')]

Others: [{'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(1.9334e+08, device='cuda:0'), tensor(1.8843e+08, device='cuda:0'), tensor(1.8989e+08, device='cuda:0'), tensor(1.9378e+08, device='cuda:0'), tensor(1.9225e+08, device='cuda:0'), tensor(1.9215e+08, device='cuda:0'), tensor(1.9927e+08, device='cuda:0'), tensor(1.9210e+08, device='cuda:0'), tensor(1.8868e+08, device='cuda:0'), tensor(1.9614e+08, device='cuda:0')]

Training loss: 192024352.0

Prediction time: [datetime.timedelta(microseconds=46851), datetime.timedelta(microseconds=47797), datetime.timedelta(microseconds=41819), datetime.timedelta(microseconds=46800), datetime.timedelta(microseconds=46803), datetime.timedelta(microseconds=44811), datetime.timedelta(microseconds=44807), datetime.timedelta(microseconds=43811), datetime.timedelta(microseconds=45802), datetime.timedelta(microseconds=43815)]

Phi time: [datetime.timedelta(seconds=1, microseconds=429024), datetime.timedelta(microseconds=803653), datetime.timedelta(microseconds=788054), datetime.timedelta(microseconds=800182), datetime.timedelta(microseconds=804627), datetime.timedelta(microseconds=804092), datetime.timedelta(microseconds=809905), datetime.timedelta(microseconds=807640), datetime.timedelta(microseconds=802307), datetime.timedelta(microseconds=802084)]

