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

Output distance: [tensor(23374.2441, device='cuda:0'), tensor(23195.5254, device='cuda:0'), tensor(23247.4473, device='cuda:0'), tensor(23262.6797, device='cuda:0'), tensor(23307.0664, device='cuda:0'), tensor(23442.3789, device='cuda:0'), tensor(23222.6191, device='cuda:0'), tensor(23432.3301, device='cuda:0'), tensor(23328.1758, device='cuda:0'), tensor(23354.7461, device='cuda:0')]

Prediction loss: [tensor(23357.1445, device='cuda:0'), tensor(23605.1758, device='cuda:0'), tensor(23349.1523, device='cuda:0'), tensor(22918.4980, device='cuda:0'), tensor(22791.1035, device='cuda:0'), tensor(22670.6777, device='cuda:0'), tensor(23609.6426, device='cuda:0'), tensor(24252.8027, device='cuda:0'), tensor(23731.6602, device='cuda:0'), tensor(22665.2793, 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(8829849., device='cuda:0'), tensor(8803053., device='cuda:0'), tensor(8781774., device='cuda:0'), tensor(8638815., device='cuda:0'), tensor(8658927., device='cuda:0'), tensor(8574025., device='cuda:0'), tensor(8810766., device='cuda:0'), tensor(8907978., device='cuda:0'), tensor(8774900., device='cuda:0'), tensor(8585718., device='cuda:0')]

Training loss: 8750254.0

Prediction time: [datetime.timedelta(microseconds=120489), datetime.timedelta(microseconds=117502), datetime.timedelta(microseconds=124472), datetime.timedelta(microseconds=118497), datetime.timedelta(microseconds=119493), datetime.timedelta(microseconds=117497), datetime.timedelta(microseconds=118492), datetime.timedelta(microseconds=119494), datetime.timedelta(microseconds=119489), datetime.timedelta(microseconds=119458)]

Phi time: [datetime.timedelta(seconds=1, microseconds=886019), datetime.timedelta(seconds=1, microseconds=286135), datetime.timedelta(seconds=1, microseconds=254613), datetime.timedelta(seconds=1, microseconds=301098), datetime.timedelta(seconds=1, microseconds=301811), datetime.timedelta(seconds=1, microseconds=310906), datetime.timedelta(seconds=1, microseconds=303383), datetime.timedelta(seconds=1, microseconds=299904), datetime.timedelta(seconds=1, microseconds=311218), datetime.timedelta(seconds=1, microseconds=311852)]

