Precision: [tensor(0.5035, device='cuda:0'), tensor(0.5107, device='cuda:0'), tensor(0.5147, device='cuda:0'), tensor(0.5169, device='cuda:0'), tensor(0.5464, device='cuda:0'), tensor(0.5209, device='cuda:0'), tensor(0.5213, device='cuda:0'), tensor(0.5094, device='cuda:0'), tensor(0.5178, device='cuda:0'), tensor(0.5237, device='cuda:0')]

Output distance: [tensor(19.0184, device='cuda:0'), tensor(19.0039, device='cuda:0'), tensor(18.9961, device='cuda:0'), tensor(18.9915, device='cuda:0'), tensor(18.9326, device='cuda:0'), tensor(18.9837, device='cuda:0'), tensor(18.9828, device='cuda:0'), tensor(19.0067, device='cuda:0'), tensor(18.9897, device='cuda:0'), tensor(18.9779, device='cuda:0')]

Prediction loss: [tensor(108.9689, device='cuda:0'), tensor(107.6428, device='cuda:0'), tensor(108.9648, device='cuda:0'), tensor(106.9433, device='cuda:0'), tensor(109.5653, device='cuda:0'), tensor(108.6923, device='cuda:0'), tensor(108.0254, device='cuda:0'), tensor(108.5602, device='cuda:0'), tensor(108.5763, device='cuda:0'), tensor(109.0123, 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=683032), datetime.timedelta(seconds=1, microseconds=649175), datetime.timedelta(seconds=1, microseconds=662981), datetime.timedelta(seconds=1, microseconds=648137), datetime.timedelta(seconds=1, microseconds=652368), datetime.timedelta(seconds=1, microseconds=651201), datetime.timedelta(seconds=1, microseconds=665852), datetime.timedelta(seconds=1, microseconds=649164), datetime.timedelta(seconds=1, microseconds=658558), datetime.timedelta(seconds=1, microseconds=644140)]

Phi time: [datetime.timedelta(seconds=4, microseconds=616439), datetime.timedelta(seconds=4, microseconds=495758), datetime.timedelta(seconds=4, microseconds=523832), datetime.timedelta(seconds=4, microseconds=541342), datetime.timedelta(seconds=4, microseconds=571920), datetime.timedelta(seconds=4, microseconds=586370), datetime.timedelta(seconds=4, microseconds=589538), datetime.timedelta(seconds=4, microseconds=529919), datetime.timedelta(seconds=4, microseconds=600333), datetime.timedelta(seconds=4, microseconds=551174)]

