Precision: [tensor(0.4637, device='cuda:0'), tensor(0.4755, device='cuda:0'), tensor(0.4636, device='cuda:0'), tensor(0.4725, device='cuda:0'), tensor(0.4875, device='cuda:0'), tensor(0.4720, device='cuda:0'), tensor(0.4884, device='cuda:0'), tensor(0.4794, device='cuda:0'), tensor(0.4800, device='cuda:0'), tensor(0.4882, device='cuda:0')]

Output distance: [tensor(19.0979, device='cuda:0'), tensor(19.0744, device='cuda:0'), tensor(19.0982, device='cuda:0'), tensor(19.0804, device='cuda:0'), tensor(19.0505, device='cuda:0'), tensor(19.0813, device='cuda:0'), tensor(19.0487, device='cuda:0'), tensor(19.0665, device='cuda:0'), tensor(19.0653, device='cuda:0'), tensor(19.0490, device='cuda:0')]

Prediction loss: [tensor(107.8323, device='cuda:0'), tensor(108.5212, device='cuda:0'), tensor(107.1765, device='cuda:0'), tensor(109.4432, device='cuda:0'), tensor(108.2000, device='cuda:0'), tensor(108.0993, device='cuda:0'), tensor(107.6301, device='cuda:0'), tensor(107.8729, device='cuda:0'), tensor(108.7289, device='cuda:0'), tensor(108.0026, 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=618678), datetime.timedelta(seconds=1, microseconds=644255), datetime.timedelta(seconds=1, microseconds=628216), datetime.timedelta(seconds=1, microseconds=618850), datetime.timedelta(seconds=1, microseconds=649756), datetime.timedelta(seconds=1, microseconds=626903), datetime.timedelta(seconds=1, microseconds=667902), datetime.timedelta(seconds=1, microseconds=620596), datetime.timedelta(seconds=1, microseconds=614530), datetime.timedelta(seconds=1, microseconds=609417)]

Phi time: [datetime.timedelta(seconds=4, microseconds=461659), datetime.timedelta(seconds=4, microseconds=352203), datetime.timedelta(seconds=4, microseconds=412966), datetime.timedelta(seconds=4, microseconds=365532), datetime.timedelta(seconds=4, microseconds=349769), datetime.timedelta(seconds=4, microseconds=376580), datetime.timedelta(seconds=4, microseconds=337016), datetime.timedelta(seconds=4, microseconds=402822), datetime.timedelta(seconds=4, microseconds=334161), datetime.timedelta(seconds=4, microseconds=399719)]

