Precision: [tensor(0.3993, device='cuda:0'), tensor(0.3990, device='cuda:0'), tensor(0.3879, device='cuda:0'), tensor(0.4051, device='cuda:0'), tensor(0.3934, device='cuda:0'), tensor(0.3875, device='cuda:0'), tensor(0.3913, device='cuda:0'), tensor(0.3920, device='cuda:0'), tensor(0.3839, device='cuda:0'), tensor(0.3964, device='cuda:0')]

Output distance: [tensor(19.6297, device='cuda:0'), tensor(19.6315, device='cuda:0'), tensor(19.6977, device='cuda:0'), tensor(19.5946, device='cuda:0'), tensor(19.6651, device='cuda:0'), tensor(19.7001, device='cuda:0'), tensor(19.6774, device='cuda:0'), tensor(19.6735, device='cuda:0'), tensor(19.7219, device='cuda:0'), tensor(19.6469, device='cuda:0')]

Prediction loss: [tensor(105.2279, device='cuda:0'), tensor(103.8216, device='cuda:0'), tensor(103.5714, device='cuda:0'), tensor(104.7801, device='cuda:0'), tensor(104.7459, device='cuda:0'), tensor(104.3485, device='cuda:0'), tensor(104.1843, device='cuda:0'), tensor(103.9695, device='cuda:0'), tensor(104.4257, device='cuda:0'), tensor(104.5908, 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=653676), datetime.timedelta(seconds=1, microseconds=657124), datetime.timedelta(seconds=1, microseconds=670817), datetime.timedelta(seconds=1, microseconds=676999), datetime.timedelta(seconds=1, microseconds=681671), datetime.timedelta(seconds=1, microseconds=667712), datetime.timedelta(seconds=1, microseconds=679142), datetime.timedelta(seconds=1, microseconds=678640), datetime.timedelta(seconds=1, microseconds=673720), datetime.timedelta(seconds=1, microseconds=668478)]

Phi time: [datetime.timedelta(seconds=4, microseconds=626894), datetime.timedelta(seconds=4, microseconds=573893), datetime.timedelta(seconds=4, microseconds=613680), datetime.timedelta(seconds=4, microseconds=549787), datetime.timedelta(seconds=4, microseconds=568736), datetime.timedelta(seconds=4, microseconds=559278), datetime.timedelta(seconds=4, microseconds=606560), datetime.timedelta(seconds=4, microseconds=598853), datetime.timedelta(seconds=4, microseconds=561820), datetime.timedelta(seconds=4, microseconds=565532)]

