Precision: [tensor(0.9988, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9995, device='cuda:0'), tensor(0.9988, device='cuda:0'), tensor(0.9983, device='cuda:0'), tensor(0.9988, device='cuda:0'), tensor(0.9992, device='cuda:0'), tensor(0.9992, device='cuda:0'), tensor(0.9992, device='cuda:0'), tensor(0.9995, device='cuda:0')]

Output distance: [tensor(25948.0859, device='cuda:0'), tensor(26243.4961, device='cuda:0'), tensor(24617.2910, device='cuda:0'), tensor(33108.7852, device='cuda:0'), tensor(27974.3516, device='cuda:0'), tensor(28176.4395, device='cuda:0'), tensor(23401.7832, device='cuda:0'), tensor(26285.0215, device='cuda:0'), tensor(26009.9727, device='cuda:0'), tensor(26446., device='cuda:0')]

Prediction loss: [tensor(23667.6895, device='cuda:0'), tensor(23711.2832, device='cuda:0'), tensor(24421.7891, device='cuda:0'), tensor(36531.0586, device='cuda:0'), tensor(24907.4531, device='cuda:0'), tensor(34368.9805, device='cuda:0'), tensor(22899.5938, device='cuda:0'), tensor(23185.5391, device='cuda:0'), tensor(25669.9883, device='cuda:0'), tensor(23548.4746, 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(8454138., device='cuda:0'), tensor(8481147., device='cuda:0'), tensor(9253470., device='cuda:0'), tensor(9438185., device='cuda:0'), tensor(8662550., device='cuda:0'), tensor(9878870., device='cuda:0'), tensor(8640604., device='cuda:0'), tensor(8545246., device='cuda:0'), tensor(9247298., device='cuda:0'), tensor(8628344., device='cuda:0')]

Training loss: 8849358.0

Prediction time: [datetime.timedelta(microseconds=20912), datetime.timedelta(microseconds=21908), datetime.timedelta(microseconds=19916), datetime.timedelta(microseconds=19916), datetime.timedelta(microseconds=20913), datetime.timedelta(microseconds=19916), datetime.timedelta(microseconds=20912), datetime.timedelta(microseconds=19965), datetime.timedelta(microseconds=19917), datetime.timedelta(microseconds=20915)]

Phi time: [datetime.timedelta(seconds=1, microseconds=242060), datetime.timedelta(microseconds=652234), datetime.timedelta(microseconds=648284), datetime.timedelta(microseconds=651673), datetime.timedelta(microseconds=649234), datetime.timedelta(microseconds=653868), datetime.timedelta(microseconds=650980), datetime.timedelta(microseconds=647664), datetime.timedelta(microseconds=653569), datetime.timedelta(microseconds=652955)]

