Precision: [tensor(0.9995, 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(0.9995, device='cuda:0'), tensor(1., device='cuda:0'), tensor(0.9995, device='cuda:0'), tensor(0.9998, device='cuda:0'), tensor(1., device='cuda:0')]

Output distance: [tensor(139456.3125, device='cuda:0'), tensor(139551.1406, device='cuda:0'), tensor(139407.6562, device='cuda:0'), tensor(140003.7188, device='cuda:0'), tensor(139434.2656, device='cuda:0'), tensor(139813.4219, device='cuda:0'), tensor(139460.4062, device='cuda:0'), tensor(139744.1094, device='cuda:0'), tensor(139620.8125, device='cuda:0'), tensor(139558.7344, device='cuda:0')]

Prediction loss: [tensor(144467.8750, device='cuda:0'), tensor(143329.9688, device='cuda:0'), tensor(137236.8906, device='cuda:0'), tensor(134822.5625, device='cuda:0'), tensor(134002.7344, device='cuda:0'), tensor(139980.2188, device='cuda:0'), tensor(133975.9688, device='cuda:0'), tensor(140664.4219, device='cuda:0'), tensor(133033.9688, device='cuda:0'), tensor(133647., device='cuda:0')]

Others: [{'num_positive': tensor(5992, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5994, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5993, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5995, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5994, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5993, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5993, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5994, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5992, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5994, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(1.9653e+08, device='cuda:0'), tensor(1.9477e+08, device='cuda:0'), tensor(1.9002e+08, device='cuda:0'), tensor(1.9126e+08, device='cuda:0'), tensor(1.8840e+08, device='cuda:0'), tensor(1.9149e+08, device='cuda:0'), tensor(1.9165e+08, device='cuda:0'), tensor(1.9282e+08, device='cuda:0'), tensor(1.9024e+08, device='cuda:0'), tensor(1.9106e+08, device='cuda:0')]

Training loss: 191468304.0

Prediction time: [datetime.timedelta(seconds=279, microseconds=283351), datetime.timedelta(seconds=269, microseconds=853610), datetime.timedelta(seconds=275, microseconds=615033), datetime.timedelta(seconds=277, microseconds=222109), datetime.timedelta(seconds=277, microseconds=816937), datetime.timedelta(seconds=279, microseconds=288922), datetime.timedelta(seconds=278, microseconds=465679), datetime.timedelta(seconds=274, microseconds=422503), datetime.timedelta(seconds=280, microseconds=214769), datetime.timedelta(seconds=280, microseconds=14809)]

Phi time: [datetime.timedelta(seconds=1, microseconds=399309), datetime.timedelta(microseconds=844183), datetime.timedelta(microseconds=841285), datetime.timedelta(microseconds=847999), datetime.timedelta(microseconds=843426), datetime.timedelta(microseconds=847614), datetime.timedelta(microseconds=850077), datetime.timedelta(microseconds=854318), datetime.timedelta(microseconds=855687), datetime.timedelta(microseconds=855059)]

