Precision: [tensor(0.3534, device='cuda:0'), tensor(0.3463, device='cuda:0'), tensor(0.3546, device='cuda:0'), tensor(0.3535, device='cuda:0'), tensor(0.3445, device='cuda:0'), tensor(0.3410, device='cuda:0'), tensor(0.3477, device='cuda:0'), tensor(0.3497, device='cuda:0'), tensor(0.3613, device='cuda:0'), tensor(0.3356, device='cuda:0')]

Output distance: [tensor(19.9048, device='cuda:0'), tensor(19.9474, device='cuda:0'), tensor(19.8975, device='cuda:0'), tensor(19.9042, device='cuda:0'), tensor(19.9586, device='cuda:0'), tensor(19.9794, device='cuda:0'), tensor(19.9392, device='cuda:0'), tensor(19.9271, device='cuda:0'), tensor(19.8576, device='cuda:0'), tensor(20.0121, device='cuda:0')]

Prediction loss: [tensor(104.2069, device='cuda:0'), tensor(104.1843, device='cuda:0'), tensor(104.3663, device='cuda:0'), tensor(104.5064, device='cuda:0'), tensor(104.1817, device='cuda:0'), tensor(104.0652, device='cuda:0'), tensor(104.8102, device='cuda:0'), tensor(103.5813, device='cuda:0'), tensor(104.1036, device='cuda:0'), tensor(104.4687, 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=885061), datetime.timedelta(seconds=1, microseconds=866083), datetime.timedelta(seconds=1, microseconds=893967), datetime.timedelta(seconds=1, microseconds=864094), datetime.timedelta(seconds=1, microseconds=892971), datetime.timedelta(seconds=1, microseconds=877981), datetime.timedelta(seconds=1, microseconds=870068), datetime.timedelta(seconds=1, microseconds=878033), datetime.timedelta(seconds=1, microseconds=898944), datetime.timedelta(seconds=1, microseconds=882016)]

Phi time: [datetime.timedelta(seconds=4, microseconds=932977), datetime.timedelta(seconds=4, microseconds=824556), datetime.timedelta(seconds=4, microseconds=853112), datetime.timedelta(seconds=4, microseconds=880841), datetime.timedelta(seconds=4, microseconds=892417), datetime.timedelta(seconds=4, microseconds=879388), datetime.timedelta(seconds=4, microseconds=905551), datetime.timedelta(seconds=4, microseconds=904403), datetime.timedelta(seconds=4, microseconds=915147), datetime.timedelta(seconds=4, microseconds=908519)]

