Precision: [tensor(0.5119, device='cuda:0'), tensor(0.5602, device='cuda:0'), tensor(0.5512, device='cuda:0'), tensor(0.5424, device='cuda:0'), tensor(0.5101, device='cuda:0'), tensor(0.5388, device='cuda:0'), tensor(0.5873, device='cuda:0'), tensor(0.5706, device='cuda:0'), tensor(0.5638, device='cuda:0'), tensor(0.5506, device='cuda:0')]

Output distance: [tensor(291260.5938, device='cuda:0'), tensor(222730.9844, device='cuda:0'), tensor(232339.7344, device='cuda:0'), tensor(233563.3438, device='cuda:0'), tensor(256119.1719, device='cuda:0'), tensor(282742., device='cuda:0'), tensor(229882.1875, device='cuda:0'), tensor(228715.1094, device='cuda:0'), tensor(258295.6562, device='cuda:0'), tensor(245806.9531, device='cuda:0')]

Prediction loss: [tensor(411957.3750, device='cuda:0'), tensor(192616.4219, device='cuda:0'), tensor(228175.3438, device='cuda:0'), tensor(234391.6562, device='cuda:0'), tensor(295825.2188, device='cuda:0'), tensor(377736.0312, device='cuda:0'), tensor(292732.1875, device='cuda:0'), tensor(281781., device='cuda:0'), tensor(319642.3750, device='cuda:0'), tensor(284455.5625, 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(1.8945e+08, device='cuda:0'), tensor(1.8404e+08, device='cuda:0'), tensor(1.8499e+08, device='cuda:0'), tensor(1.9483e+08, device='cuda:0'), tensor(1.9854e+08, device='cuda:0'), tensor(1.9976e+08, device='cuda:0'), tensor(1.8872e+08, device='cuda:0'), tensor(1.8690e+08, device='cuda:0'), tensor(1.9414e+08, device='cuda:0'), tensor(1.9130e+08, device='cuda:0')]

Training loss: 191978448.0

Prediction time: [datetime.timedelta(microseconds=19915), datetime.timedelta(microseconds=19915), datetime.timedelta(microseconds=19916), datetime.timedelta(microseconds=20912), datetime.timedelta(microseconds=24895), datetime.timedelta(microseconds=19916), datetime.timedelta(microseconds=23898), datetime.timedelta(microseconds=19912), datetime.timedelta(microseconds=20911), datetime.timedelta(microseconds=22904)]

Phi time: [datetime.timedelta(seconds=1, microseconds=109900), datetime.timedelta(microseconds=569782), datetime.timedelta(microseconds=571022), datetime.timedelta(microseconds=571436), datetime.timedelta(microseconds=568712), datetime.timedelta(microseconds=571949), datetime.timedelta(microseconds=570204), datetime.timedelta(microseconds=566739), datetime.timedelta(microseconds=566637), datetime.timedelta(microseconds=563486)]

