Precision: [tensor(0.4351, device='cuda:0'), tensor(0.4352, device='cuda:0'), tensor(0.4330, device='cuda:0'), tensor(0.4384, device='cuda:0'), tensor(0.4287, device='cuda:0'), tensor(0.4290, device='cuda:0'), tensor(0.4354, device='cuda:0'), tensor(0.4383, device='cuda:0'), tensor(0.4369, device='cuda:0'), tensor(0.4334, device='cuda:0')]

Output distance: [tensor(5.6955, device='cuda:0'), tensor(5.6949, device='cuda:0'), tensor(5.7081, device='cuda:0'), tensor(5.6755, device='cuda:0'), tensor(5.7338, device='cuda:0'), tensor(5.7322, device='cuda:0'), tensor(5.6939, device='cuda:0'), tensor(5.6760, device='cuda:0'), tensor(5.6844, device='cuda:0'), tensor(5.7054, device='cuda:0')]

Prediction loss: [tensor(15649783., device='cuda:0'), tensor(18038282., device='cuda:0'), tensor(22099402., device='cuda:0'), tensor(18995068., device='cuda:0'), tensor(19646988., device='cuda:0'), tensor(18506140., device='cuda:0'), tensor(18714946., device='cuda:0'), tensor(18569834., device='cuda:0'), tensor(15677073., device='cuda:0'), tensor(19511782., device='cuda:0')]

Others: [{'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}]

Compressed training loss: [tensor(40655.8359, device='cuda:0'), tensor(41145.6250, device='cuda:0'), tensor(41041.4258, device='cuda:0'), tensor(41092.4375, device='cuda:0'), tensor(40938.5586, device='cuda:0'), tensor(40766.6836, device='cuda:0'), tensor(40744.5195, device='cuda:0'), tensor(40213.4844, device='cuda:0'), tensor(40934.7109, device='cuda:0'), tensor(40937.2617, device='cuda:0')]

Training loss: 0

Prediction time: [datetime.timedelta(microseconds=931324), datetime.timedelta(microseconds=911515), datetime.timedelta(microseconds=890306), datetime.timedelta(microseconds=904071), datetime.timedelta(microseconds=903624), datetime.timedelta(microseconds=887535), datetime.timedelta(microseconds=936832), datetime.timedelta(microseconds=920254), datetime.timedelta(microseconds=905586), datetime.timedelta(microseconds=903211)]

Phi time: [datetime.timedelta(microseconds=199785), datetime.timedelta(microseconds=191630), datetime.timedelta(microseconds=201134), datetime.timedelta(microseconds=181825), datetime.timedelta(microseconds=188646), datetime.timedelta(microseconds=184523), datetime.timedelta(microseconds=171235), datetime.timedelta(microseconds=184890), datetime.timedelta(microseconds=182010), datetime.timedelta(microseconds=195722)]

