Precision: [tensor(0.4405, device='cuda:0'), tensor(0.4407, device='cuda:0'), tensor(0.4360, device='cuda:0'), tensor(0.4453, device='cuda:0'), tensor(0.4403, device='cuda:0'), tensor(0.4360, device='cuda:0'), tensor(0.4425, device='cuda:0'), tensor(0.4433, device='cuda:0'), tensor(0.4407, device='cuda:0'), tensor(0.4434, device='cuda:0')]

Output distance: [tensor(5.6629, device='cuda:0'), tensor(5.6619, device='cuda:0'), tensor(5.6902, device='cuda:0'), tensor(5.6340, device='cuda:0'), tensor(5.6645, device='cuda:0'), tensor(5.6902, device='cuda:0'), tensor(5.6514, device='cuda:0'), tensor(5.6461, device='cuda:0'), tensor(5.6619, device='cuda:0'), tensor(5.6456, device='cuda:0')]

Prediction loss: [tensor(18631486., device='cuda:0'), tensor(17179558., device='cuda:0'), tensor(18165416., device='cuda:0'), tensor(19919040., device='cuda:0'), tensor(19365040., device='cuda:0'), tensor(17865578., device='cuda:0'), tensor(16089238., device='cuda:0'), tensor(19458764., device='cuda:0'), tensor(20479656., device='cuda:0'), tensor(15576497., 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: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

Training loss: 0

Prediction time: [datetime.timedelta(seconds=27, microseconds=423085), datetime.timedelta(seconds=28, microseconds=102358), datetime.timedelta(seconds=29, microseconds=84605), datetime.timedelta(seconds=29, microseconds=503883), datetime.timedelta(seconds=29, microseconds=366989), datetime.timedelta(seconds=29, microseconds=615856), datetime.timedelta(seconds=29, microseconds=428144), datetime.timedelta(seconds=29, microseconds=535089), datetime.timedelta(seconds=27, microseconds=271519), datetime.timedelta(seconds=22, microseconds=788697)]

Phi time: [datetime.timedelta(microseconds=267862), datetime.timedelta(microseconds=343555), datetime.timedelta(microseconds=338565), datetime.timedelta(microseconds=265872), datetime.timedelta(microseconds=402293), datetime.timedelta(microseconds=250935), datetime.timedelta(microseconds=494918), datetime.timedelta(microseconds=450092), datetime.timedelta(microseconds=264875), datetime.timedelta(microseconds=282810)]

