Precision: [tensor(0.6779, device='cuda:0'), tensor(0.6423, device='cuda:0'), tensor(0.6712, device='cuda:0'), tensor(0.6989, device='cuda:0'), tensor(0.7152, device='cuda:0'), tensor(0.6835, device='cuda:0'), tensor(0.7088, device='cuda:0'), tensor(0.6593, device='cuda:0'), tensor(0.7281, device='cuda:0'), tensor(0.6763, device='cuda:0')]

Output distance: [tensor(8998.2705, device='cuda:0'), tensor(12692.3789, device='cuda:0'), tensor(12039.0518, device='cuda:0'), tensor(14611.2051, device='cuda:0'), tensor(8319.5049, device='cuda:0'), tensor(9664.4834, device='cuda:0'), tensor(9630.8076, device='cuda:0'), tensor(10354.0820, device='cuda:0'), tensor(12470.2529, device='cuda:0'), tensor(10089.2002, device='cuda:0')]

Prediction loss: [tensor(8950.7119, device='cuda:0'), tensor(11837.9131, device='cuda:0'), tensor(13260.8320, device='cuda:0'), tensor(18459.9727, device='cuda:0'), tensor(8822.8408, device='cuda:0'), tensor(9246.3408, device='cuda:0'), tensor(11095.2168, device='cuda:0'), tensor(10541.0518, device='cuda:0'), tensor(16523.7070, device='cuda:0'), tensor(11905.9375, device='cuda:0')]

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

Compressed training loss: [tensor(8718600., device='cuda:0'), tensor(8962093., device='cuda:0'), tensor(8840931., device='cuda:0'), tensor(9023000., device='cuda:0'), tensor(8862189., device='cuda:0'), tensor(9011100., device='cuda:0'), tensor(8804451., device='cuda:0'), tensor(8501084., device='cuda:0'), tensor(8988724., device='cuda:0'), tensor(9148147., device='cuda:0')]

Training loss: 8877916.0

Prediction time: [datetime.timedelta(microseconds=38834), datetime.timedelta(microseconds=44811), datetime.timedelta(microseconds=45806), datetime.timedelta(microseconds=38835), datetime.timedelta(microseconds=41823), datetime.timedelta(microseconds=41816), datetime.timedelta(microseconds=44810), datetime.timedelta(microseconds=43814), datetime.timedelta(microseconds=40826), datetime.timedelta(microseconds=40830)]

Phi time: [datetime.timedelta(seconds=1, microseconds=298494), datetime.timedelta(microseconds=705748), datetime.timedelta(microseconds=703175), datetime.timedelta(microseconds=712977), datetime.timedelta(microseconds=707997), datetime.timedelta(microseconds=710992), datetime.timedelta(microseconds=707997), datetime.timedelta(microseconds=710984), datetime.timedelta(microseconds=699662), datetime.timedelta(microseconds=706571)]

