Precision: [tensor(0.4386, device='cuda:0'), tensor(0.4374, device='cuda:0'), tensor(0.4187, device='cuda:0'), tensor(0.4372, device='cuda:0'), tensor(0.4341, device='cuda:0'), tensor(0.4296, device='cuda:0'), tensor(0.4289, device='cuda:0'), tensor(0.4353, device='cuda:0'), tensor(0.4378, device='cuda:0'), tensor(0.4296, device='cuda:0')]

Output distance: [tensor(19.3939, device='cuda:0'), tensor(19.4011, device='cuda:0'), tensor(19.5133, device='cuda:0'), tensor(19.4021, device='cuda:0'), tensor(19.4205, device='cuda:0'), tensor(19.4480, device='cuda:0'), tensor(19.4522, device='cuda:0'), tensor(19.4135, device='cuda:0'), tensor(19.3987, device='cuda:0'), tensor(19.4477, device='cuda:0')]

Prediction loss: [tensor(104.6052, device='cuda:0'), tensor(104.8205, device='cuda:0'), tensor(105.0280, device='cuda:0'), tensor(104.7074, device='cuda:0'), tensor(103.8072, device='cuda:0'), tensor(104.2466, device='cuda:0'), tensor(104.6164, device='cuda:0'), tensor(104.5234, device='cuda:0'), tensor(104.9450, device='cuda:0'), tensor(104.5021, 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=827252), datetime.timedelta(seconds=1, microseconds=819285), datetime.timedelta(seconds=1, microseconds=814300), datetime.timedelta(seconds=1, microseconds=817293), datetime.timedelta(seconds=1, microseconds=835262), datetime.timedelta(seconds=1, microseconds=786423), datetime.timedelta(seconds=1, microseconds=805342), datetime.timedelta(seconds=1, microseconds=814304), datetime.timedelta(seconds=1, microseconds=819277), datetime.timedelta(seconds=1, microseconds=802361)]

Phi time: [datetime.timedelta(seconds=5, microseconds=117837), datetime.timedelta(seconds=5, microseconds=52072), datetime.timedelta(seconds=5, microseconds=86207), datetime.timedelta(seconds=5, microseconds=40932), datetime.timedelta(seconds=5, microseconds=119355), datetime.timedelta(seconds=5, microseconds=65973), datetime.timedelta(seconds=5, microseconds=93477), datetime.timedelta(seconds=5, microseconds=64024), datetime.timedelta(seconds=5, microseconds=118340), datetime.timedelta(seconds=5, microseconds=52265)]

