Precision: [tensor(0.2281, device='cuda:0'), tensor(0.2346, device='cuda:0'), tensor(0.2262, device='cuda:0'), tensor(0.2255, device='cuda:0'), tensor(0.2291, device='cuda:0'), tensor(0.2297, device='cuda:0'), tensor(0.2374, device='cuda:0'), tensor(0.2350, device='cuda:0'), tensor(0.2231, device='cuda:0'), tensor(0.2289, device='cuda:0')]

Output distance: [tensor(21.7449, device='cuda:0'), tensor(21.6790, device='cuda:0'), tensor(21.7630, device='cuda:0'), tensor(21.7706, device='cuda:0'), tensor(21.7343, device='cuda:0'), tensor(21.7282, device='cuda:0'), tensor(21.6511, device='cuda:0'), tensor(21.6756, device='cuda:0'), tensor(21.7947, device='cuda:0'), tensor(21.7364, device='cuda:0')]

Prediction loss: [tensor(100.3484, device='cuda:0'), tensor(100.7770, device='cuda:0'), tensor(99.7791, device='cuda:0'), tensor(99.0648, device='cuda:0'), tensor(99.5905, device='cuda:0'), tensor(99.1835, device='cuda:0'), tensor(101.3416, device='cuda:0'), tensor(99.5025, device='cuda:0'), tensor(99.0492, device='cuda:0'), tensor(99.1570, device='cuda:0')]

Others: [{'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, 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=894046), datetime.timedelta(seconds=1, microseconds=944831), datetime.timedelta(seconds=1, microseconds=953798), datetime.timedelta(seconds=1, microseconds=915935), datetime.timedelta(seconds=1, microseconds=887994), datetime.timedelta(seconds=1, microseconds=909900), datetime.timedelta(seconds=1, microseconds=901932), datetime.timedelta(seconds=1, microseconds=908904), datetime.timedelta(seconds=1, microseconds=902929), datetime.timedelta(seconds=1, microseconds=917866)]

Phi time: [datetime.timedelta(seconds=5, microseconds=74556), datetime.timedelta(seconds=4, microseconds=976262), datetime.timedelta(seconds=5, microseconds=2995), datetime.timedelta(seconds=4, microseconds=990925), datetime.timedelta(seconds=4, microseconds=986835), datetime.timedelta(seconds=4, microseconds=996756), datetime.timedelta(seconds=5, microseconds=14505), datetime.timedelta(seconds=4, microseconds=987096), datetime.timedelta(seconds=4, microseconds=983801), datetime.timedelta(seconds=4, microseconds=999004)]

