Precision: [tensor(0.0671, device='cuda:0'), tensor(0.0786, device='cuda:0'), tensor(0.0745, device='cuda:0'), tensor(0.0881, device='cuda:0'), tensor(0.0716, device='cuda:0'), tensor(0.0638, device='cuda:0'), tensor(0.0970, device='cuda:0'), tensor(0.1090, device='cuda:0'), tensor(0.0865, device='cuda:0'), tensor(0.0849, device='cuda:0')]

Output distance: [tensor(19.8912, device='cuda:0'), tensor(19.8682, device='cuda:0'), tensor(19.8764, device='cuda:0'), tensor(19.8492, device='cuda:0'), tensor(19.8821, device='cuda:0'), tensor(19.8978, device='cuda:0'), tensor(19.8313, device='cuda:0'), tensor(19.8074, device='cuda:0'), tensor(19.8525, device='cuda:0'), tensor(19.8555, device='cuda:0')]

Prediction loss: [tensor(104.8341, device='cuda:0'), tensor(105.2302, device='cuda:0'), tensor(105.1469, device='cuda:0'), tensor(107.8454, device='cuda:0'), tensor(103.7284, device='cuda:0'), tensor(105.7505, device='cuda:0'), tensor(107.2121, device='cuda:0'), tensor(106.9374, device='cuda:0'), tensor(107.2479, device='cuda:0'), tensor(106.7240, 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=703817), datetime.timedelta(seconds=1, microseconds=708801), datetime.timedelta(seconds=1, microseconds=710791), datetime.timedelta(seconds=1, microseconds=712784), datetime.timedelta(seconds=1, microseconds=710793), datetime.timedelta(seconds=1, microseconds=718758), datetime.timedelta(seconds=1, microseconds=680915), datetime.timedelta(seconds=1, microseconds=724789), datetime.timedelta(seconds=1, microseconds=725681), datetime.timedelta(seconds=1, microseconds=727624)]

Phi time: [datetime.timedelta(seconds=4, microseconds=228306), datetime.timedelta(seconds=4, microseconds=140783), datetime.timedelta(seconds=4, microseconds=143126), datetime.timedelta(seconds=4, microseconds=114964), datetime.timedelta(seconds=4, microseconds=197560), datetime.timedelta(seconds=4, microseconds=171108), datetime.timedelta(seconds=4, microseconds=136411), datetime.timedelta(seconds=4, microseconds=114676), datetime.timedelta(seconds=4, microseconds=151251), datetime.timedelta(seconds=4, microseconds=143201)]

