Precision: [tensor(0.4715, device='cuda:0'), tensor(0.4707, device='cuda:0'), tensor(0.4765, device='cuda:0'), tensor(0.4844, device='cuda:0'), tensor(0.4825, device='cuda:0'), tensor(0.4718, device='cuda:0'), tensor(0.4846, device='cuda:0'), tensor(0.4886, device='cuda:0'), tensor(0.4833, device='cuda:0'), tensor(0.4650, device='cuda:0')]

Output distance: [tensor(5.3631, device='cuda:0'), tensor(5.3647, device='cuda:0'), tensor(5.3531, device='cuda:0'), tensor(5.3374, device='cuda:0'), tensor(5.3410, device='cuda:0'), tensor(5.3626, device='cuda:0'), tensor(5.3368, device='cuda:0'), tensor(5.3290, device='cuda:0'), tensor(5.3395, device='cuda:0'), tensor(5.3762, device='cuda:0')]

Prediction loss: [tensor(24490596., device='cuda:0'), tensor(22539900., device='cuda:0'), tensor(17053136., device='cuda:0'), tensor(12261188., device='cuda:0'), tensor(19694846., device='cuda:0'), tensor(20569798., device='cuda:0'), tensor(22137102., device='cuda:0'), tensor(19160090., device='cuda:0'), tensor(17227250., device='cuda:0'), tensor(16755192., device='cuda:0')]

Others: [{'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}]

Compressed training loss: [tensor(40726.9609, device='cuda:0'), tensor(40904.3516, device='cuda:0'), tensor(41136.6992, device='cuda:0'), tensor(40164.6484, device='cuda:0'), tensor(40624.2109, device='cuda:0'), tensor(40840.8242, device='cuda:0'), tensor(41092.6719, device='cuda:0'), tensor(40809.6641, device='cuda:0'), tensor(41263.1953, device='cuda:0'), tensor(40957.0195, device='cuda:0')]

Training loss: 0

Prediction time: [datetime.timedelta(microseconds=995810), datetime.timedelta(microseconds=976887), datetime.timedelta(microseconds=963947), datetime.timedelta(microseconds=948009), datetime.timedelta(seconds=1, microseconds=51573), datetime.timedelta(microseconds=944026), datetime.timedelta(seconds=1, microseconds=43607), datetime.timedelta(microseconds=948015), datetime.timedelta(microseconds=940044), datetime.timedelta(microseconds=949005)]

Phi time: [datetime.timedelta(microseconds=203144), datetime.timedelta(microseconds=181237), datetime.timedelta(microseconds=184228), datetime.timedelta(microseconds=187211), datetime.timedelta(microseconds=191195), datetime.timedelta(microseconds=181237), datetime.timedelta(microseconds=176258), datetime.timedelta(microseconds=181237), datetime.timedelta(microseconds=179245), datetime.timedelta(microseconds=175262)]

