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

Output distance: [tensor(38327.1445, device='cuda:0'), tensor(38695.2969, device='cuda:0'), tensor(38179.1133, device='cuda:0'), tensor(38191.4531, device='cuda:0'), tensor(38473.8867, device='cuda:0'), tensor(38285.5000, device='cuda:0'), tensor(38216.0625, device='cuda:0'), tensor(38274.5234, device='cuda:0'), tensor(38436.5898, device='cuda:0'), tensor(38396.9180, device='cuda:0')]

Prediction loss: [tensor(38966.2305, device='cuda:0'), tensor(40363.1875, device='cuda:0'), tensor(38412.7031, device='cuda:0'), tensor(38040.6836, device='cuda:0'), tensor(38029.8945, device='cuda:0'), tensor(37525.4336, device='cuda:0'), tensor(38728.7266, device='cuda:0'), tensor(38543.2227, device='cuda:0'), tensor(37665.4141, device='cuda:0'), tensor(37826.9492, 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(3629627.2500, device='cuda:0'), tensor(3756260., device='cuda:0'), tensor(3616845.7500, device='cuda:0'), tensor(3561394.7500, device='cuda:0'), tensor(3546426.5000, device='cuda:0'), tensor(3484372.2500, device='cuda:0'), tensor(3615756., device='cuda:0'), tensor(3569714., device='cuda:0'), tensor(3469872.2500, device='cuda:0'), tensor(3576140., device='cuda:0')]

Training loss: 3578034.0

Prediction time: [datetime.timedelta(microseconds=116504), datetime.timedelta(microseconds=116506), datetime.timedelta(microseconds=118497), datetime.timedelta(microseconds=118497), datetime.timedelta(microseconds=116509), datetime.timedelta(microseconds=118497), datetime.timedelta(microseconds=118498), datetime.timedelta(microseconds=116431), datetime.timedelta(microseconds=118498), datetime.timedelta(microseconds=117502)]

Phi time: [datetime.timedelta(seconds=1, microseconds=831452), datetime.timedelta(seconds=1, microseconds=277835), datetime.timedelta(seconds=1, microseconds=239944), datetime.timedelta(seconds=1, microseconds=319223), datetime.timedelta(seconds=1, microseconds=285572), datetime.timedelta(seconds=1, microseconds=298143), datetime.timedelta(seconds=1, microseconds=302138), datetime.timedelta(seconds=1, microseconds=289972), datetime.timedelta(seconds=1, microseconds=319786), datetime.timedelta(seconds=1, microseconds=294222)]

