Precision: [tensor(0.5944, device='cuda:0'), tensor(0.5723, device='cuda:0'), tensor(0.5881, device='cuda:0'), tensor(0.5778, device='cuda:0'), tensor(0.5873, device='cuda:0'), tensor(0.5836, device='cuda:0'), tensor(0.5862, device='cuda:0'), tensor(0.5991, device='cuda:0'), tensor(0.5931, device='cuda:0'), tensor(0.5847, device='cuda:0')]

Output distance: [tensor(5.1174, device='cuda:0'), tensor(5.1615, device='cuda:0'), tensor(5.1300, device='cuda:0'), tensor(5.1504, device='cuda:0'), tensor(5.1315, device='cuda:0'), tensor(5.1389, device='cuda:0'), tensor(5.1336, device='cuda:0'), tensor(5.1079, device='cuda:0'), tensor(5.1200, device='cuda:0'), tensor(5.1368, device='cuda:0')]

Prediction loss: [tensor(19205758., device='cuda:0'), tensor(15451956., device='cuda:0'), tensor(23223030., device='cuda:0'), tensor(17415680., device='cuda:0'), tensor(17854408., device='cuda:0'), tensor(14619802., device='cuda:0'), tensor(19481134., device='cuda:0'), tensor(18274946., device='cuda:0'), tensor(21760656., device='cuda:0'), tensor(18680508., 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: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

Training loss: 0

Prediction time: [datetime.timedelta(seconds=16, microseconds=633233), datetime.timedelta(seconds=17, microseconds=138940), datetime.timedelta(seconds=17, microseconds=296046), datetime.timedelta(seconds=17, microseconds=856212), datetime.timedelta(seconds=18, microseconds=310080), datetime.timedelta(seconds=17, microseconds=961689), datetime.timedelta(seconds=18, microseconds=172354), datetime.timedelta(seconds=18, microseconds=554357), datetime.timedelta(seconds=18, microseconds=254640), datetime.timedelta(seconds=18, microseconds=310536)]

Phi time: [datetime.timedelta(microseconds=241977), datetime.timedelta(microseconds=291762), datetime.timedelta(microseconds=348574), datetime.timedelta(microseconds=251930), datetime.timedelta(microseconds=484952), datetime.timedelta(microseconds=450090), datetime.timedelta(microseconds=266871), datetime.timedelta(microseconds=455070), datetime.timedelta(microseconds=327612), datetime.timedelta(microseconds=488927)]

