Precision: [tensor(0.4274, device='cuda:0'), tensor(0.4859, device='cuda:0'), tensor(0.4483, device='cuda:0'), tensor(0.4395, device='cuda:0'), tensor(0.4938, device='cuda:0'), tensor(0.4761, device='cuda:0'), tensor(0.4491, device='cuda:0'), tensor(0.4497, device='cuda:0'), tensor(0.4563, device='cuda:0'), tensor(0.4196, device='cuda:0')]

Output distance: [tensor(19.1705, device='cuda:0'), tensor(19.0535, device='cuda:0'), tensor(19.1288, device='cuda:0'), tensor(19.1463, device='cuda:0'), tensor(19.0378, device='cuda:0'), tensor(19.0732, device='cuda:0'), tensor(19.1273, device='cuda:0'), tensor(19.1261, device='cuda:0'), tensor(19.1128, device='cuda:0'), tensor(19.1862, device='cuda:0')]

Prediction loss: [tensor(107.3552, device='cuda:0'), tensor(109.4832, device='cuda:0'), tensor(108.2571, device='cuda:0'), tensor(109.3148, device='cuda:0'), tensor(109.7745, device='cuda:0'), tensor(108.7571, device='cuda:0'), tensor(107.9340, device='cuda:0'), tensor(109.8823, device='cuda:0'), tensor(109.0123, device='cuda:0'), tensor(107.9870, device='cuda:0')]

Others: [{'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}]

Compressed training loss: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

Training loss: 0

Prediction time: [datetime.timedelta(seconds=1, microseconds=689877), datetime.timedelta(seconds=1, microseconds=705812), datetime.timedelta(seconds=1, microseconds=730719), datetime.timedelta(seconds=1, microseconds=707802), datetime.timedelta(seconds=1, microseconds=715824), datetime.timedelta(seconds=1, microseconds=599971), datetime.timedelta(seconds=1, microseconds=608626), datetime.timedelta(seconds=1, microseconds=602025), datetime.timedelta(seconds=1, microseconds=641567), datetime.timedelta(seconds=1, microseconds=605869)]

Phi time: [datetime.timedelta(seconds=4, microseconds=593069), datetime.timedelta(seconds=4, microseconds=457496), datetime.timedelta(seconds=4, microseconds=512923), datetime.timedelta(seconds=4, microseconds=477880), datetime.timedelta(seconds=4, microseconds=483822), datetime.timedelta(seconds=4, microseconds=286828), datetime.timedelta(seconds=4, microseconds=283099), datetime.timedelta(seconds=4, microseconds=282061), datetime.timedelta(seconds=4, microseconds=281828), datetime.timedelta(seconds=4, microseconds=297610)]

