Precision: [tensor(0.3601, device='cuda:0'), tensor(0.3544, device='cuda:0'), tensor(0.3558, device='cuda:0'), tensor(0.3573, device='cuda:0'), tensor(0.3509, device='cuda:0'), tensor(0.3596, device='cuda:0'), tensor(0.3514, device='cuda:0'), tensor(0.3593, device='cuda:0'), tensor(0.3534, device='cuda:0'), tensor(0.3585, device='cuda:0')]

Output distance: [tensor(20.4244, device='cuda:0'), tensor(20.4813, device='cuda:0'), tensor(20.4677, device='cuda:0'), tensor(20.4525, device='cuda:0'), tensor(20.5160, device='cuda:0'), tensor(20.4299, device='cuda:0'), tensor(20.5112, device='cuda:0'), tensor(20.4326, device='cuda:0'), tensor(20.4912, device='cuda:0'), tensor(20.4404, device='cuda:0')]

Prediction loss: [tensor(102.1722, device='cuda:0'), tensor(102.0427, device='cuda:0'), tensor(102.0142, device='cuda:0'), tensor(102.8280, device='cuda:0'), tensor(101.1859, device='cuda:0'), tensor(102.9396, device='cuda:0'), tensor(101.8994, device='cuda:0'), tensor(101.8674, device='cuda:0'), tensor(101.6942, device='cuda:0'), tensor(101.7480, 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=971696), datetime.timedelta(seconds=1, microseconds=975680), datetime.timedelta(seconds=1, microseconds=973635), datetime.timedelta(seconds=1, microseconds=971696), datetime.timedelta(seconds=1, microseconds=981654), datetime.timedelta(seconds=1, microseconds=985634), datetime.timedelta(seconds=1, microseconds=984642), datetime.timedelta(seconds=1, microseconds=983644), datetime.timedelta(seconds=1, microseconds=995599), datetime.timedelta(seconds=1, microseconds=991608)]

Phi time: [datetime.timedelta(seconds=5, microseconds=669165), datetime.timedelta(seconds=5, microseconds=571713), datetime.timedelta(seconds=5, microseconds=619330), datetime.timedelta(seconds=5, microseconds=556751), datetime.timedelta(seconds=5, microseconds=583613), datetime.timedelta(seconds=5, microseconds=568932), datetime.timedelta(seconds=5, microseconds=584802), datetime.timedelta(seconds=5, microseconds=567731), datetime.timedelta(seconds=5, microseconds=597809), datetime.timedelta(seconds=5, microseconds=551036)]

