Precision: [tensor(0.5354, device='cuda:0'), tensor(0.5113, device='cuda:0'), tensor(0.5246, device='cuda:0'), tensor(0.5299, device='cuda:0'), tensor(0.5542, device='cuda:0'), tensor(0.5127, device='cuda:0'), tensor(0.5262, device='cuda:0'), tensor(0.4979, device='cuda:0'), tensor(0.5227, device='cuda:0'), tensor(0.5550, device='cuda:0')]

Output distance: [tensor(44197.6328, device='cuda:0'), tensor(44379.4805, device='cuda:0'), tensor(42226.7109, device='cuda:0'), tensor(39663.0430, device='cuda:0'), tensor(32395.9160, device='cuda:0'), tensor(36125.6445, device='cuda:0'), tensor(39801.2070, device='cuda:0'), tensor(40074.7656, device='cuda:0'), tensor(37229.3828, device='cuda:0'), tensor(37916.2227, device='cuda:0')]

Prediction loss: [tensor(60095.6211, device='cuda:0'), tensor(39403.7930, device='cuda:0'), tensor(53859.2539, device='cuda:0'), tensor(45544.6719, device='cuda:0'), tensor(32555.3496, device='cuda:0'), tensor(39539.4453, device='cuda:0'), tensor(32909.2969, device='cuda:0'), tensor(28419.8770, device='cuda:0'), tensor(34556.4492, device='cuda:0'), tensor(37177.5703, 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(9465770., device='cuda:0'), tensor(8244657., device='cuda:0'), tensor(9137088., device='cuda:0'), tensor(9011435., device='cuda:0'), tensor(8799230., device='cuda:0'), tensor(8610234., device='cuda:0'), tensor(8787010., device='cuda:0'), tensor(7888033., device='cuda:0'), tensor(8685675., device='cuda:0'), tensor(8590239., device='cuda:0')]

Training loss: 8839268.0

Prediction time: [datetime.timedelta(microseconds=22903), datetime.timedelta(microseconds=23898), datetime.timedelta(microseconds=22900), datetime.timedelta(microseconds=23899), datetime.timedelta(microseconds=22903), datetime.timedelta(microseconds=26885), datetime.timedelta(microseconds=24942), datetime.timedelta(microseconds=27882), datetime.timedelta(microseconds=27879), datetime.timedelta(microseconds=23898)]

Phi time: [datetime.timedelta(seconds=1, microseconds=232449), datetime.timedelta(microseconds=640882), datetime.timedelta(microseconds=638079), datetime.timedelta(microseconds=650677), datetime.timedelta(microseconds=648699), datetime.timedelta(microseconds=647468), datetime.timedelta(microseconds=646988), datetime.timedelta(microseconds=650417), datetime.timedelta(microseconds=651075), datetime.timedelta(microseconds=648467)]

