Precision: [tensor(0.2114, device='cuda:0'), tensor(0.2146, device='cuda:0'), tensor(0.2281, device='cuda:0'), tensor(0.2290, device='cuda:0'), tensor(0.2127, device='cuda:0'), tensor(0.2110, device='cuda:0'), tensor(0.2315, device='cuda:0'), tensor(0.2286, device='cuda:0'), tensor(0.2399, device='cuda:0'), tensor(0.2211, device='cuda:0')]

Output distance: [tensor(20.7573, device='cuda:0'), tensor(20.7376, device='cuda:0'), tensor(20.6569, device='cuda:0'), tensor(20.6515, device='cuda:0'), tensor(20.7491, device='cuda:0'), tensor(20.7594, device='cuda:0'), tensor(20.6363, device='cuda:0'), tensor(20.6539, device='cuda:0'), tensor(20.5859, device='cuda:0'), tensor(20.6989, device='cuda:0')]

Prediction loss: [tensor(105.1801, device='cuda:0'), tensor(106.0006, device='cuda:0'), tensor(106.7954, device='cuda:0'), tensor(105.4930, device='cuda:0'), tensor(105.1573, device='cuda:0'), tensor(105.4463, device='cuda:0'), tensor(106.7455, device='cuda:0'), tensor(103.6715, device='cuda:0'), tensor(105.8428, device='cuda:0'), tensor(105.7298, 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=158, microseconds=102074), datetime.timedelta(seconds=158, microseconds=134540), datetime.timedelta(seconds=157, microseconds=676885), datetime.timedelta(seconds=157, microseconds=526076), datetime.timedelta(seconds=158, microseconds=162138), datetime.timedelta(seconds=157, microseconds=827864), datetime.timedelta(seconds=158, microseconds=93963), datetime.timedelta(seconds=158, microseconds=667516), datetime.timedelta(seconds=157, microseconds=890247), datetime.timedelta(seconds=157, microseconds=937878)]

Phi time: [datetime.timedelta(seconds=4, microseconds=248703), datetime.timedelta(seconds=4, microseconds=233046), datetime.timedelta(seconds=4, microseconds=109622), datetime.timedelta(seconds=4, microseconds=200146), datetime.timedelta(seconds=4, microseconds=228503), datetime.timedelta(seconds=4, microseconds=201632), datetime.timedelta(seconds=4, microseconds=229931), datetime.timedelta(seconds=4, microseconds=226894), datetime.timedelta(seconds=4, microseconds=252418), datetime.timedelta(seconds=4, microseconds=246222)]

