Precision: [tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(0.9995, 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(0.9997, device='cuda:0')]

Output distance: [tensor(41732.2656, device='cuda:0'), tensor(39725.9102, device='cuda:0'), tensor(42851.0586, device='cuda:0'), tensor(47445.5234, device='cuda:0'), tensor(45943.2383, device='cuda:0'), tensor(44118.5078, device='cuda:0'), tensor(40898.7266, device='cuda:0'), tensor(41710.8516, device='cuda:0'), tensor(46809.4141, device='cuda:0'), tensor(41470.4492, device='cuda:0')]

Prediction loss: [tensor(39402.2617, device='cuda:0'), tensor(38643.8398, device='cuda:0'), tensor(36389.1172, device='cuda:0'), tensor(43179.7148, device='cuda:0'), tensor(35800.4297, device='cuda:0'), tensor(41884.6328, device='cuda:0'), tensor(36791.6406, device='cuda:0'), tensor(42715.9180, device='cuda:0'), tensor(49954.5547, device='cuda:0'), tensor(38840.0469, 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(3711668., device='cuda:0'), tensor(3583367.7500, device='cuda:0'), tensor(3338736., device='cuda:0'), tensor(3584015.7500, device='cuda:0'), tensor(3583798., device='cuda:0'), tensor(3697610.2500, device='cuda:0'), tensor(3315065.2500, device='cuda:0'), tensor(3860308.2500, device='cuda:0'), tensor(4090219., device='cuda:0'), tensor(3534698.7500, device='cuda:0')]

Training loss: 3601685.75

Prediction time: [datetime.timedelta(microseconds=20912), datetime.timedelta(microseconds=20912), datetime.timedelta(microseconds=19916), datetime.timedelta(microseconds=19915), datetime.timedelta(microseconds=21907), datetime.timedelta(microseconds=20912), datetime.timedelta(microseconds=19915), datetime.timedelta(microseconds=19916), datetime.timedelta(microseconds=22904), datetime.timedelta(microseconds=20911)]

Phi time: [datetime.timedelta(seconds=1, microseconds=218242), datetime.timedelta(microseconds=652956), datetime.timedelta(microseconds=649489), datetime.timedelta(microseconds=652208), datetime.timedelta(microseconds=649770), datetime.timedelta(microseconds=651758), datetime.timedelta(microseconds=652043), datetime.timedelta(microseconds=654603), datetime.timedelta(microseconds=651073), datetime.timedelta(microseconds=649515)]

