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

Output distance: [tensor(23517.5312, device='cuda:0'), tensor(23489.0176, device='cuda:0'), tensor(23382.7461, device='cuda:0'), tensor(23340.7461, device='cuda:0'), tensor(24281.9629, device='cuda:0'), tensor(23314.0957, device='cuda:0'), tensor(23398.7871, device='cuda:0'), tensor(23359.2617, device='cuda:0'), tensor(23397.1777, device='cuda:0'), tensor(23546.6797, device='cuda:0')]

Prediction loss: [tensor(23993.1094, device='cuda:0'), tensor(22632.9805, device='cuda:0'), tensor(24399.3066, device='cuda:0'), tensor(24111.8535, device='cuda:0'), tensor(25541.8848, device='cuda:0'), tensor(23032.2441, device='cuda:0'), tensor(24019.1445, device='cuda:0'), tensor(24357.4375, device='cuda:0'), tensor(22919.3926, device='cuda:0'), tensor(24059.4609, 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(9000792., device='cuda:0'), tensor(8625725., device='cuda:0'), tensor(9167167., device='cuda:0'), tensor(9039996., device='cuda:0'), tensor(9089289., device='cuda:0'), tensor(8741283., device='cuda:0'), tensor(8986340., device='cuda:0'), tensor(9134044., device='cuda:0'), tensor(8714510., device='cuda:0'), tensor(8908394., device='cuda:0')]

Training loss: 8876571.0

Prediction time: [datetime.timedelta(microseconds=52777), datetime.timedelta(microseconds=58745), datetime.timedelta(microseconds=52726), datetime.timedelta(microseconds=55764), datetime.timedelta(microseconds=53768), datetime.timedelta(microseconds=55809), datetime.timedelta(microseconds=59742), datetime.timedelta(microseconds=54765), datetime.timedelta(microseconds=56758), datetime.timedelta(microseconds=56759)]

Phi time: [datetime.timedelta(seconds=1, microseconds=355620), datetime.timedelta(microseconds=836896), datetime.timedelta(microseconds=832531), datetime.timedelta(microseconds=860792), datetime.timedelta(microseconds=847867), datetime.timedelta(microseconds=856985), datetime.timedelta(microseconds=854617), datetime.timedelta(microseconds=844782), datetime.timedelta(microseconds=859997), datetime.timedelta(microseconds=859829)]

