Precision: [tensor(0.4896, device='cuda:0'), tensor(0.4959, device='cuda:0'), tensor(0.4786, device='cuda:0'), tensor(0.4825, device='cuda:0'), tensor(0.4804, device='cuda:0'), tensor(0.4768, device='cuda:0'), tensor(0.4681, device='cuda:0'), tensor(0.4951, device='cuda:0'), tensor(0.4846, device='cuda:0'), tensor(0.4705, device='cuda:0')]

Output distance: [tensor(5.3269, device='cuda:0'), tensor(5.3143, device='cuda:0'), tensor(5.3489, device='cuda:0'), tensor(5.3410, device='cuda:0'), tensor(5.3452, device='cuda:0'), tensor(5.3526, device='cuda:0'), tensor(5.3699, device='cuda:0'), tensor(5.3158, device='cuda:0'), tensor(5.3368, device='cuda:0'), tensor(5.3652, device='cuda:0')]

Prediction loss: [tensor(18050800., device='cuda:0'), tensor(15782333., device='cuda:0'), tensor(22874256., device='cuda:0'), tensor(17624986., device='cuda:0'), tensor(18370194., device='cuda:0'), tensor(23801578., device='cuda:0'), tensor(18884834., device='cuda:0'), tensor(14584515., device='cuda:0'), tensor(18507868., device='cuda:0'), tensor(20716398., 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(microseconds=964951), datetime.timedelta(microseconds=949016), datetime.timedelta(microseconds=939057), datetime.timedelta(microseconds=947027), datetime.timedelta(microseconds=958976), datetime.timedelta(microseconds=969928), datetime.timedelta(microseconds=951009), datetime.timedelta(microseconds=929101), datetime.timedelta(microseconds=941051), datetime.timedelta(microseconds=950011)]

Phi time: [datetime.timedelta(microseconds=421232), datetime.timedelta(microseconds=204143), datetime.timedelta(microseconds=206134), datetime.timedelta(microseconds=206137), datetime.timedelta(microseconds=204144), datetime.timedelta(microseconds=191199), datetime.timedelta(microseconds=205138), datetime.timedelta(microseconds=192194), datetime.timedelta(microseconds=194186), datetime.timedelta(microseconds=208129)]

