Precision: [tensor(0.7759, device='cuda:0'), tensor(0.7731, device='cuda:0'), tensor(0.7633, device='cuda:0'), tensor(0.7711, device='cuda:0'), tensor(0.8163, device='cuda:0'), tensor(0.7828, device='cuda:0'), tensor(0.7751, device='cuda:0'), tensor(0.7909, device='cuda:0'), tensor(0.7741, device='cuda:0'), tensor(0.7987, device='cuda:0')]

Output distance: [tensor(2680.0735, device='cuda:0'), tensor(3258.2109, device='cuda:0'), tensor(3237.9792, device='cuda:0'), tensor(3057.9636, device='cuda:0'), tensor(2755.2549, device='cuda:0'), tensor(2661.4861, device='cuda:0'), tensor(3506.2246, device='cuda:0'), tensor(2974.1560, device='cuda:0'), tensor(3161.4253, device='cuda:0'), tensor(2586.7109, device='cuda:0')]

Prediction loss: [tensor(2711.8579, device='cuda:0'), tensor(3237.4817, device='cuda:0'), tensor(3500.2878, device='cuda:0'), tensor(3244.6533, device='cuda:0'), tensor(3061.7603, device='cuda:0'), tensor(2893.1724, device='cuda:0'), tensor(3839.4539, device='cuda:0'), tensor(3422.7317, device='cuda:0'), tensor(3391.0222, device='cuda:0'), tensor(2843.3174, 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(8842242., device='cuda:0'), tensor(8797563., device='cuda:0'), tensor(8960311., device='cuda:0'), tensor(9033359., device='cuda:0'), tensor(8978644., device='cuda:0'), tensor(8961665., device='cuda:0'), tensor(8919865., device='cuda:0'), tensor(8975001., device='cuda:0'), tensor(8996324., device='cuda:0'), tensor(8944938., device='cuda:0')]

Training loss: 8911844.0

Prediction time: [datetime.timedelta(microseconds=61604), datetime.timedelta(microseconds=58693), datetime.timedelta(microseconds=62778), datetime.timedelta(microseconds=67278), datetime.timedelta(microseconds=52894), datetime.timedelta(microseconds=55288), datetime.timedelta(microseconds=67284), datetime.timedelta(microseconds=54259), datetime.timedelta(microseconds=56230), datetime.timedelta(microseconds=56993)]

Phi time: [datetime.timedelta(seconds=1, microseconds=318847), datetime.timedelta(microseconds=828652), datetime.timedelta(microseconds=800100), datetime.timedelta(microseconds=827682), datetime.timedelta(microseconds=834509), datetime.timedelta(microseconds=831165), datetime.timedelta(microseconds=822622), datetime.timedelta(microseconds=845787), datetime.timedelta(microseconds=829213), datetime.timedelta(microseconds=867608)]

