Precision: [tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(0.9998, device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0')]

Output distance: [tensor(38939.8750, device='cuda:0'), tensor(39316.0547, device='cuda:0'), tensor(38112.3750, device='cuda:0'), tensor(37984.0352, device='cuda:0'), tensor(38038.6758, device='cuda:0'), tensor(38221.0391, device='cuda:0'), tensor(38195.8203, device='cuda:0'), tensor(39703.5000, device='cuda:0'), tensor(39047.1484, device='cuda:0'), tensor(37926.5859, device='cuda:0')]

Prediction loss: [tensor(40599.4805, device='cuda:0'), tensor(35940.5000, device='cuda:0'), tensor(36490.9570, device='cuda:0'), tensor(38165.9023, device='cuda:0'), tensor(37825.8906, device='cuda:0'), tensor(38940.8320, device='cuda:0'), tensor(38119.0859, device='cuda:0'), tensor(40736.3555, device='cuda:0'), tensor(38621.8945, device='cuda:0'), tensor(38439.1523, device='cuda:0')]

Others: [{'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(3855446.7500, device='cuda:0'), tensor(3489865., device='cuda:0'), tensor(3481795.2500, device='cuda:0'), tensor(3655765., device='cuda:0'), tensor(3626398.2500, device='cuda:0'), tensor(3746333.2500, device='cuda:0'), tensor(3687600.5000, device='cuda:0'), tensor(3759800., device='cuda:0'), tensor(3753828.2500, device='cuda:0'), tensor(3707081.5000, device='cuda:0')]

Training loss: 3647410.0

Prediction time: [datetime.timedelta(microseconds=39831), datetime.timedelta(microseconds=41823), datetime.timedelta(microseconds=41823), datetime.timedelta(microseconds=41823), datetime.timedelta(microseconds=37827), datetime.timedelta(microseconds=42824), datetime.timedelta(microseconds=39831), datetime.timedelta(microseconds=39831), datetime.timedelta(microseconds=38836), datetime.timedelta(microseconds=39829)]

Phi time: [datetime.timedelta(seconds=1, microseconds=344072), datetime.timedelta(microseconds=778970), datetime.timedelta(microseconds=778714), datetime.timedelta(microseconds=781883), datetime.timedelta(microseconds=781007), datetime.timedelta(microseconds=785811), datetime.timedelta(microseconds=783531), datetime.timedelta(microseconds=786415), datetime.timedelta(microseconds=785598), datetime.timedelta(microseconds=785756)]

