Precision: [tensor(0.6437, device='cuda:0'), tensor(0.6301, device='cuda:0'), tensor(0.6409, device='cuda:0'), tensor(0.6427, device='cuda:0'), tensor(0.6430, device='cuda:0'), tensor(0.6267, device='cuda:0'), tensor(0.6403, device='cuda:0'), tensor(0.6461, device='cuda:0'), tensor(0.6388, device='cuda:0'), tensor(0.6469, device='cuda:0')]

Output distance: [tensor(5.0186, device='cuda:0'), tensor(5.0459, device='cuda:0'), tensor(5.0244, device='cuda:0'), tensor(5.0207, device='cuda:0'), tensor(5.0202, device='cuda:0'), tensor(5.0528, device='cuda:0'), tensor(5.0255, device='cuda:0'), tensor(5.0139, device='cuda:0'), tensor(5.0286, device='cuda:0'), tensor(5.0123, device='cuda:0')]

Prediction loss: [tensor(19313358., device='cuda:0'), tensor(17576770., device='cuda:0'), tensor(17767474., device='cuda:0'), tensor(19574770., device='cuda:0'), tensor(17682688., device='cuda:0'), tensor(20607354., device='cuda:0'), tensor(18884240., device='cuda:0'), tensor(16517438., device='cuda:0'), tensor(16627577., device='cuda:0'), tensor(17034382., 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(40901.2188, device='cuda:0'), tensor(40718.1836, device='cuda:0'), tensor(40676.3750, device='cuda:0'), tensor(40848.3984, device='cuda:0'), tensor(40421.7344, device='cuda:0'), tensor(41293.9727, device='cuda:0'), tensor(41071.8359, device='cuda:0'), tensor(40882.4492, device='cuda:0'), tensor(40559.1562, device='cuda:0'), tensor(40678.8398, device='cuda:0')]

Training loss: 0

Prediction time: [datetime.timedelta(microseconds=928102), datetime.timedelta(microseconds=902388), datetime.timedelta(microseconds=887383), datetime.timedelta(microseconds=876069), datetime.timedelta(microseconds=890252), datetime.timedelta(microseconds=872053), datetime.timedelta(microseconds=881196), datetime.timedelta(microseconds=873663), datetime.timedelta(microseconds=895405), datetime.timedelta(microseconds=878890)]

Phi time: [datetime.timedelta(microseconds=422026), datetime.timedelta(microseconds=204273), datetime.timedelta(microseconds=164412), datetime.timedelta(microseconds=179476), datetime.timedelta(microseconds=179632), datetime.timedelta(microseconds=179581), datetime.timedelta(microseconds=179498), datetime.timedelta(microseconds=182284), datetime.timedelta(microseconds=179859), datetime.timedelta(microseconds=178762)]

