Precision: [tensor(0.9995, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9992, device='cuda:0'), tensor(0.9995, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9995, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9992, device='cuda:0'), tensor(0.9993, device='cuda:0')]

Output distance: [tensor(23613.0391, device='cuda:0'), tensor(23584.8242, device='cuda:0'), tensor(23906.1152, device='cuda:0'), tensor(23531.6426, device='cuda:0'), tensor(23772.9629, device='cuda:0'), tensor(24051.3125, device='cuda:0'), tensor(23595.4453, device='cuda:0'), tensor(23626.2480, device='cuda:0'), tensor(23583.1738, device='cuda:0'), tensor(24037.2852, device='cuda:0')]

Prediction loss: [tensor(22997.0664, device='cuda:0'), tensor(23045.8281, device='cuda:0'), tensor(24553.1895, device='cuda:0'), tensor(23446.4922, device='cuda:0'), tensor(24187.7793, device='cuda:0'), tensor(24807.0215, device='cuda:0'), tensor(24659.3418, device='cuda:0'), tensor(23982.6074, device='cuda:0'), tensor(23433.9707, device='cuda:0'), tensor(25354.3379, device='cuda:0')]

Others: [{'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(8829835., device='cuda:0'), tensor(8673469., device='cuda:0'), tensor(9023242., device='cuda:0'), tensor(8782390., device='cuda:0'), tensor(8839485., device='cuda:0'), tensor(8985925., device='cuda:0'), tensor(9098397., device='cuda:0'), tensor(8892194., device='cuda:0'), tensor(8770572., device='cuda:0'), tensor(9062976., device='cuda:0')]

Training loss: 8840083.0

Prediction time: [datetime.timedelta(microseconds=75679), datetime.timedelta(microseconds=75678), datetime.timedelta(microseconds=77671), datetime.timedelta(microseconds=78666), datetime.timedelta(microseconds=77673), datetime.timedelta(microseconds=78669), datetime.timedelta(microseconds=77672), datetime.timedelta(microseconds=78669), datetime.timedelta(microseconds=76674), datetime.timedelta(microseconds=78666)]

Phi time: [datetime.timedelta(seconds=1, microseconds=465209), datetime.timedelta(microseconds=858630), datetime.timedelta(microseconds=849725), datetime.timedelta(microseconds=873881), datetime.timedelta(microseconds=872530), datetime.timedelta(microseconds=866192), datetime.timedelta(microseconds=866828), datetime.timedelta(microseconds=862616), datetime.timedelta(microseconds=893865), datetime.timedelta(microseconds=867736)]

