Precision: [tensor(0.9995, device='cuda:0'), tensor(0.9995, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9998, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9995, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9993, device='cuda:0')]

Output distance: [tensor(23695.9414, device='cuda:0'), tensor(23906.4844, device='cuda:0'), tensor(23690.7246, device='cuda:0'), tensor(24351.6367, device='cuda:0'), tensor(24288.7910, device='cuda:0'), tensor(23731.1523, device='cuda:0'), tensor(23590.6992, device='cuda:0'), tensor(23787.6504, device='cuda:0'), tensor(24523.7031, device='cuda:0'), tensor(23836.5215, device='cuda:0')]

Prediction loss: [tensor(23994.6016, device='cuda:0'), tensor(23832.0957, device='cuda:0'), tensor(23170.8340, device='cuda:0'), tensor(24999.0020, device='cuda:0'), tensor(24780.6484, device='cuda:0'), tensor(24200.8750, device='cuda:0'), tensor(23826.2617, device='cuda:0'), tensor(24727.0801, device='cuda:0'), tensor(23754.1270, device='cuda:0'), tensor(23985.8125, 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(8942376., device='cuda:0'), tensor(9018182., device='cuda:0'), tensor(8787825., device='cuda:0'), tensor(9123976., device='cuda:0'), tensor(9179853., device='cuda:0'), tensor(9147054., device='cuda:0'), tensor(9044205., device='cuda:0'), tensor(9064526., device='cuda:0'), tensor(8850613., device='cuda:0'), tensor(8940550., device='cuda:0')]

Training loss: 8909858.0

Prediction time: [datetime.timedelta(microseconds=38835), datetime.timedelta(microseconds=36843), datetime.timedelta(microseconds=41823), datetime.timedelta(microseconds=38835), datetime.timedelta(microseconds=41825), datetime.timedelta(microseconds=38833), datetime.timedelta(microseconds=39832), datetime.timedelta(microseconds=38835), datetime.timedelta(microseconds=41821), datetime.timedelta(microseconds=39834)]

Phi time: [datetime.timedelta(seconds=1, microseconds=382922), datetime.timedelta(microseconds=783235), datetime.timedelta(microseconds=769457), datetime.timedelta(microseconds=792045), datetime.timedelta(microseconds=805109), datetime.timedelta(microseconds=790610), datetime.timedelta(microseconds=791604), datetime.timedelta(microseconds=790619), datetime.timedelta(microseconds=785481), datetime.timedelta(microseconds=788701)]

