Precision: [tensor(0.5302, device='cuda:0'), tensor(0.5258, device='cuda:0'), tensor(0.5245, device='cuda:0'), tensor(0.5265, device='cuda:0'), tensor(0.5291, device='cuda:0'), tensor(0.5281, device='cuda:0'), tensor(0.5232, device='cuda:0'), tensor(0.5238, device='cuda:0'), tensor(0.5289, device='cuda:0'), tensor(0.5288, device='cuda:0')]

Output distance: [tensor(5.1247, device='cuda:0'), tensor(5.1515, device='cuda:0'), tensor(5.1594, device='cuda:0'), tensor(5.1473, device='cuda:0'), tensor(5.1315, device='cuda:0'), tensor(5.1373, device='cuda:0'), tensor(5.1667, device='cuda:0'), tensor(5.1630, device='cuda:0'), tensor(5.1326, device='cuda:0'), tensor(5.1331, device='cuda:0')]

Prediction loss: [tensor(20243052., device='cuda:0'), tensor(17690068., device='cuda:0'), tensor(19884660., device='cuda:0'), tensor(19589618., device='cuda:0'), tensor(19122546., device='cuda:0'), tensor(18865796., device='cuda:0'), tensor(19088708., device='cuda:0'), tensor(16960610., device='cuda:0'), tensor(18389926., device='cuda:0'), tensor(18201318., 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(40804.8711, device='cuda:0'), tensor(40683.8125, device='cuda:0'), tensor(41041.9102, device='cuda:0'), tensor(40785.4141, device='cuda:0'), tensor(40840.7500, device='cuda:0'), tensor(40912.9219, device='cuda:0'), tensor(41037.9883, device='cuda:0'), tensor(40861.0430, device='cuda:0'), tensor(40900.1445, device='cuda:0'), tensor(40848.5938, device='cuda:0')]

Training loss: 0

Prediction time: [datetime.timedelta(microseconds=918921), datetime.timedelta(microseconds=936961), datetime.timedelta(microseconds=903971), datetime.timedelta(microseconds=919824), datetime.timedelta(microseconds=900066), datetime.timedelta(microseconds=898564), datetime.timedelta(microseconds=901707), datetime.timedelta(microseconds=924283), datetime.timedelta(microseconds=899784), datetime.timedelta(microseconds=903343)]

Phi time: [datetime.timedelta(microseconds=328006), datetime.timedelta(microseconds=208207), datetime.timedelta(microseconds=208724), datetime.timedelta(microseconds=206920), datetime.timedelta(microseconds=199948), datetime.timedelta(microseconds=201589), datetime.timedelta(microseconds=199561), datetime.timedelta(microseconds=220656), datetime.timedelta(microseconds=200293), datetime.timedelta(microseconds=179321)]

