Precision: [tensor(0.3009, device='cuda:0'), tensor(0.2865, device='cuda:0'), tensor(0.2871, device='cuda:0'), tensor(0.3061, device='cuda:0'), tensor(0.2983, device='cuda:0'), tensor(0.3084, device='cuda:0'), tensor(0.2972, device='cuda:0'), tensor(0.3016, device='cuda:0'), tensor(0.3171, device='cuda:0'), tensor(0.3068, device='cuda:0')]

Output distance: [tensor(20.2201, device='cuda:0'), tensor(20.3062, device='cuda:0'), tensor(20.3026, device='cuda:0'), tensor(20.1889, device='cuda:0'), tensor(20.2355, device='cuda:0'), tensor(20.1747, device='cuda:0'), tensor(20.2421, device='cuda:0'), tensor(20.2158, device='cuda:0'), tensor(20.1227, device='cuda:0'), tensor(20.1844, device='cuda:0')]

Prediction loss: [tensor(103.2762, device='cuda:0'), tensor(102.5306, device='cuda:0'), tensor(102.9687, device='cuda:0'), tensor(103.3040, device='cuda:0'), tensor(102.5738, device='cuda:0'), tensor(104.0223, device='cuda:0'), tensor(104.1886, device='cuda:0'), tensor(103.5672, device='cuda:0'), tensor(104.7750, device='cuda:0'), tensor(103.5095, device='cuda:0')]

Others: [{'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, 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=645836), datetime.timedelta(seconds=1, microseconds=629074), datetime.timedelta(seconds=1, microseconds=629895), datetime.timedelta(seconds=1, microseconds=630247), datetime.timedelta(seconds=1, microseconds=641535), datetime.timedelta(seconds=1, microseconds=634309), datetime.timedelta(seconds=1, microseconds=635543), datetime.timedelta(seconds=1, microseconds=648879), datetime.timedelta(seconds=1, microseconds=649905), datetime.timedelta(seconds=1, microseconds=622139)]

Phi time: [datetime.timedelta(seconds=4, microseconds=349890), datetime.timedelta(seconds=4, microseconds=222114), datetime.timedelta(seconds=4, microseconds=263406), datetime.timedelta(seconds=4, microseconds=249914), datetime.timedelta(seconds=4, microseconds=267761), datetime.timedelta(seconds=4, microseconds=262312), datetime.timedelta(seconds=4, microseconds=317630), datetime.timedelta(seconds=4, microseconds=281566), datetime.timedelta(seconds=4, microseconds=289820), datetime.timedelta(seconds=4, microseconds=298175)]

