Precision: [tensor(0.5196, device='cuda:0'), tensor(0.5258, device='cuda:0'), tensor(0.5188, device='cuda:0'), tensor(0.5868, device='cuda:0'), tensor(0.5526, device='cuda:0'), tensor(0.5381, device='cuda:0'), tensor(0.6027, device='cuda:0'), tensor(0.5322, device='cuda:0'), tensor(0.5280, device='cuda:0'), tensor(0.5103, device='cuda:0')]

Output distance: [tensor(36868.7734, device='cuda:0'), tensor(36127.5742, device='cuda:0'), tensor(44395.5117, device='cuda:0'), tensor(32530.9141, device='cuda:0'), tensor(36549.9570, device='cuda:0'), tensor(35978.0195, device='cuda:0'), tensor(32517.6074, device='cuda:0'), tensor(34436.4062, device='cuda:0'), tensor(34864.1367, device='cuda:0'), tensor(37648.1836, device='cuda:0')]

Prediction loss: [tensor(37465.7422, device='cuda:0'), tensor(39027.3047, device='cuda:0'), tensor(57569.2617, device='cuda:0'), tensor(40405.8477, device='cuda:0'), tensor(45079.6758, device='cuda:0'), tensor(42904.1875, device='cuda:0'), tensor(39960.4805, device='cuda:0'), tensor(37120.2578, device='cuda:0'), tensor(29871.3203, device='cuda:0'), tensor(33478.5586, 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(7974219., device='cuda:0'), tensor(8813698., device='cuda:0'), tensor(9355501., device='cuda:0'), tensor(9302023., device='cuda:0'), tensor(9012552., device='cuda:0'), tensor(9029203., device='cuda:0'), tensor(8885236., device='cuda:0'), tensor(8773850., device='cuda:0'), tensor(8337992., device='cuda:0'), tensor(7953726., device='cuda:0')]

Training loss: 8830015.0

Prediction time: [datetime.timedelta(microseconds=27883), datetime.timedelta(microseconds=22902), datetime.timedelta(microseconds=23899), datetime.timedelta(microseconds=22903), datetime.timedelta(microseconds=23900), datetime.timedelta(microseconds=24895), datetime.timedelta(microseconds=23898), datetime.timedelta(microseconds=23900), datetime.timedelta(microseconds=22904), datetime.timedelta(microseconds=23949)]

Phi time: [datetime.timedelta(seconds=1, microseconds=253158), datetime.timedelta(microseconds=648121), datetime.timedelta(microseconds=651961), datetime.timedelta(microseconds=652877), datetime.timedelta(microseconds=654206), datetime.timedelta(microseconds=652956), datetime.timedelta(microseconds=654838), datetime.timedelta(microseconds=651202), datetime.timedelta(microseconds=655312), datetime.timedelta(microseconds=652688)]

