Precision: [tensor(0.3059, device='cuda:0'), tensor(0.2936, device='cuda:0'), tensor(0.3137, device='cuda:0'), tensor(0.3072, device='cuda:0'), tensor(0.2850, device='cuda:0'), tensor(0.3059, device='cuda:0'), tensor(0.3022, device='cuda:0'), tensor(0.2960, device='cuda:0'), tensor(0.2842, device='cuda:0'), tensor(0.3026, device='cuda:0')]

Output distance: [tensor(20.1898, device='cuda:0'), tensor(20.2639, device='cuda:0'), tensor(20.1433, device='cuda:0'), tensor(20.1823, device='cuda:0'), tensor(20.3156, device='cuda:0'), tensor(20.1898, device='cuda:0'), tensor(20.2119, device='cuda:0'), tensor(20.2491, device='cuda:0'), tensor(20.3204, device='cuda:0'), tensor(20.2098, device='cuda:0')]

Prediction loss: [tensor(104.1254, device='cuda:0'), tensor(103.7955, device='cuda:0'), tensor(104.1229, device='cuda:0'), tensor(103.7332, device='cuda:0'), tensor(101.8607, device='cuda:0'), tensor(102.6598, device='cuda:0'), tensor(103.3328, device='cuda:0'), tensor(104.3878, device='cuda:0'), tensor(101.1421, device='cuda:0'), tensor(102.8572, 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=639048), datetime.timedelta(seconds=1, microseconds=629089), datetime.timedelta(seconds=1, microseconds=649006), datetime.timedelta(seconds=1, microseconds=641040), datetime.timedelta(seconds=1, microseconds=660956), datetime.timedelta(seconds=1, microseconds=749580), datetime.timedelta(seconds=1, microseconds=772485), datetime.timedelta(seconds=1, microseconds=786421), datetime.timedelta(seconds=1, microseconds=743602), datetime.timedelta(seconds=1, microseconds=748587)]

Phi time: [datetime.timedelta(seconds=4, microseconds=370446), datetime.timedelta(seconds=4, microseconds=263160), datetime.timedelta(seconds=4, microseconds=290583), datetime.timedelta(seconds=4, microseconds=304294), datetime.timedelta(seconds=4, microseconds=301763), datetime.timedelta(seconds=4, microseconds=357410), datetime.timedelta(seconds=4, microseconds=569929), datetime.timedelta(seconds=4, microseconds=554421), datetime.timedelta(seconds=4, microseconds=574959), datetime.timedelta(seconds=4, microseconds=721922)]

