Precision: [tensor(0.3532, device='cuda:0'), tensor(0.3798, device='cuda:0'), tensor(0.3319, device='cuda:0'), tensor(0.3303, device='cuda:0'), tensor(0.3670, device='cuda:0'), tensor(0.3541, device='cuda:0'), tensor(0.3322, device='cuda:0'), tensor(0.3164, device='cuda:0'), tensor(0.3399, device='cuda:0'), tensor(0.3804, device='cuda:0')]

Output distance: [tensor(19.3189, device='cuda:0'), tensor(19.2657, device='cuda:0'), tensor(19.3615, device='cuda:0'), tensor(19.3649, device='cuda:0'), tensor(19.2914, device='cuda:0'), tensor(19.3171, device='cuda:0'), tensor(19.3609, device='cuda:0'), tensor(19.3927, device='cuda:0'), tensor(19.3455, device='cuda:0'), tensor(19.2645, device='cuda:0')]

Prediction loss: [tensor(110.1305, device='cuda:0'), tensor(108.2249, device='cuda:0'), tensor(108.8074, device='cuda:0'), tensor(108.1972, device='cuda:0'), tensor(109.2475, device='cuda:0'), tensor(109.1159, device='cuda:0'), tensor(109.1972, device='cuda:0'), tensor(107.2037, device='cuda:0'), tensor(110.4695, device='cuda:0'), tensor(110.2565, 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=140, microseconds=521830), datetime.timedelta(seconds=140, microseconds=4537), datetime.timedelta(seconds=140, microseconds=677310), datetime.timedelta(seconds=140, microseconds=79900), datetime.timedelta(seconds=139, microseconds=975378), datetime.timedelta(seconds=140, microseconds=459249), datetime.timedelta(seconds=139, microseconds=844139), datetime.timedelta(seconds=140, microseconds=570702), datetime.timedelta(seconds=141, microseconds=24699), datetime.timedelta(seconds=141, microseconds=518427)]

Phi time: [datetime.timedelta(seconds=4, microseconds=308710), datetime.timedelta(seconds=4, microseconds=154722), datetime.timedelta(seconds=4, microseconds=112850), datetime.timedelta(seconds=4, microseconds=121056), datetime.timedelta(seconds=4, microseconds=295206), datetime.timedelta(seconds=4, microseconds=223236), datetime.timedelta(seconds=4, microseconds=197540), datetime.timedelta(seconds=4, microseconds=249905), datetime.timedelta(seconds=4, microseconds=238749), datetime.timedelta(seconds=4, microseconds=299893)]

