Precision: [tensor(0.0553, device='cuda:0'), tensor(0.0358, device='cuda:0'), tensor(0.0440, device='cuda:0'), tensor(0.0564, device='cuda:0'), tensor(0.0621, device='cuda:0'), tensor(0.0533, device='cuda:0'), tensor(0.0627, device='cuda:0'), tensor(0.0516, device='cuda:0'), tensor(0.0523, device='cuda:0'), tensor(0.0623, device='cuda:0')]

Output distance: [tensor(21.6935, device='cuda:0'), tensor(21.8105, device='cuda:0'), tensor(21.7612, device='cuda:0'), tensor(21.6868, device='cuda:0'), tensor(21.6527, device='cuda:0'), tensor(21.7056, device='cuda:0'), tensor(21.6490, device='cuda:0'), tensor(21.7158, device='cuda:0'), tensor(21.7116, device='cuda:0'), tensor(21.6515, device='cuda:0')]

Prediction loss: [tensor(99.7365, device='cuda:0'), tensor(96.8117, device='cuda:0'), tensor(96.4171, device='cuda:0'), tensor(97.9164, device='cuda:0'), tensor(97.4641, device='cuda:0'), tensor(99.3033, device='cuda:0'), tensor(97.4922, device='cuda:0'), tensor(94.5814, device='cuda:0'), tensor(96.2535, device='cuda:0'), tensor(97.5600, 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=1, microseconds=722694), datetime.timedelta(seconds=1, microseconds=702775), datetime.timedelta(seconds=1, microseconds=687841), datetime.timedelta(seconds=1, microseconds=726674), datetime.timedelta(seconds=1, microseconds=714781), datetime.timedelta(seconds=1, microseconds=732651), datetime.timedelta(seconds=1, microseconds=687842), datetime.timedelta(seconds=1, microseconds=738625), datetime.timedelta(seconds=1, microseconds=735639), datetime.timedelta(seconds=1, microseconds=719706)]

Phi time: [datetime.timedelta(seconds=4, microseconds=234513), datetime.timedelta(seconds=4, microseconds=131597), datetime.timedelta(seconds=4, microseconds=108465), datetime.timedelta(seconds=4, microseconds=117703), datetime.timedelta(seconds=4, microseconds=152471), datetime.timedelta(seconds=4, microseconds=127100), datetime.timedelta(seconds=4, microseconds=159747), datetime.timedelta(seconds=4, microseconds=115277), datetime.timedelta(seconds=4, microseconds=148555), datetime.timedelta(seconds=4, microseconds=123217)]

