Precision: [tensor(0.5631, device='cuda:0'), tensor(0.5645, device='cuda:0'), tensor(0.5627, device='cuda:0'), tensor(0.5624, device='cuda:0'), tensor(0.5632, device='cuda:0'), tensor(0.5633, device='cuda:0'), tensor(0.5602, device='cuda:0'), tensor(0.5616, device='cuda:0'), tensor(0.5608, device='cuda:0'), tensor(0.5609, device='cuda:0')]

Output distance: [tensor(4.9273, device='cuda:0'), tensor(4.9189, device='cuda:0'), tensor(4.9299, device='cuda:0'), tensor(4.9320, device='cuda:0'), tensor(4.9268, device='cuda:0'), tensor(4.9262, device='cuda:0'), tensor(4.9451, device='cuda:0'), tensor(4.9367, device='cuda:0'), tensor(4.9415, device='cuda:0'), tensor(4.9409, device='cuda:0')]

Prediction loss: [tensor(19027888., device='cuda:0'), tensor(18143190., device='cuda:0'), tensor(18159490., device='cuda:0'), tensor(18602420., device='cuda:0'), tensor(18824860., device='cuda:0'), tensor(17583374., device='cuda:0'), tensor(18930464., device='cuda:0'), tensor(18837378., device='cuda:0'), tensor(18337258., device='cuda:0'), tensor(18600140., device='cuda:0')]

Others: [{'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}]

Compressed training loss: [tensor(40730.4609, device='cuda:0'), tensor(40794.6875, device='cuda:0'), tensor(40991.0664, device='cuda:0'), tensor(40923.6562, device='cuda:0'), tensor(40830.4023, device='cuda:0'), tensor(40847.4609, device='cuda:0'), tensor(40870.9062, device='cuda:0'), tensor(40806.4180, device='cuda:0'), tensor(40825.8750, device='cuda:0'), tensor(40930.8242, device='cuda:0')]

Training loss: 0

Prediction time: [datetime.timedelta(microseconds=933283), datetime.timedelta(microseconds=924650), datetime.timedelta(microseconds=944724), datetime.timedelta(microseconds=919981), datetime.timedelta(microseconds=917846), datetime.timedelta(microseconds=913592), datetime.timedelta(microseconds=943957), datetime.timedelta(microseconds=922662), datetime.timedelta(microseconds=920925), datetime.timedelta(microseconds=915120)]

Phi time: [datetime.timedelta(microseconds=465777), datetime.timedelta(microseconds=307620), datetime.timedelta(microseconds=299068), datetime.timedelta(microseconds=319830), datetime.timedelta(microseconds=300003), datetime.timedelta(microseconds=293048), datetime.timedelta(microseconds=312043), datetime.timedelta(microseconds=324214), datetime.timedelta(microseconds=306665), datetime.timedelta(microseconds=294833)]

