Precision: [tensor(0.3741, device='cuda:0'), tensor(0.3649, device='cuda:0'), tensor(0.3821, device='cuda:0'), tensor(0.3962, device='cuda:0'), tensor(0.4154, device='cuda:0'), tensor(0.3996, device='cuda:0'), tensor(0.3758, device='cuda:0'), tensor(0.3857, device='cuda:0'), tensor(0.3541, device='cuda:0'), tensor(0.4010, device='cuda:0')]

Output distance: [tensor(19.2772, device='cuda:0'), tensor(19.2956, device='cuda:0'), tensor(19.2612, device='cuda:0'), tensor(19.2331, device='cuda:0'), tensor(19.1947, device='cuda:0'), tensor(19.2261, device='cuda:0'), tensor(19.2739, device='cuda:0'), tensor(19.2539, device='cuda:0'), tensor(19.3171, device='cuda:0'), tensor(19.2234, device='cuda:0')]

Prediction loss: [tensor(108.3756, device='cuda:0'), tensor(108.9697, device='cuda:0'), tensor(108.5403, device='cuda:0'), tensor(109.1805, device='cuda:0'), tensor(109.2536, device='cuda:0'), tensor(107.7231, device='cuda:0'), tensor(107.4672, device='cuda:0'), tensor(109.0929, device='cuda:0'), tensor(107.7448, device='cuda:0'), tensor(107.6735, 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=642883), datetime.timedelta(seconds=1, microseconds=614186), datetime.timedelta(seconds=1, microseconds=633400), datetime.timedelta(seconds=1, microseconds=601035), datetime.timedelta(seconds=1, microseconds=604735), datetime.timedelta(seconds=1, microseconds=608105), datetime.timedelta(seconds=1, microseconds=626207), datetime.timedelta(seconds=1, microseconds=605486), datetime.timedelta(seconds=1, microseconds=609883), datetime.timedelta(seconds=1, microseconds=608466)]

Phi time: [datetime.timedelta(seconds=4, microseconds=268167), datetime.timedelta(seconds=4, microseconds=130802), datetime.timedelta(seconds=4, microseconds=188405), datetime.timedelta(seconds=4, microseconds=148115), datetime.timedelta(seconds=4, microseconds=132817), datetime.timedelta(seconds=4, microseconds=143211), datetime.timedelta(seconds=4, microseconds=173901), datetime.timedelta(seconds=4, microseconds=193724), datetime.timedelta(seconds=4, microseconds=178405), datetime.timedelta(seconds=4, microseconds=213217)]

