Precision: [tensor(0.7608, device='cuda:0'), tensor(0.7751, device='cuda:0'), tensor(0.7993, device='cuda:0'), tensor(0.7566, device='cuda:0'), tensor(0.7777, device='cuda:0'), tensor(0.8076, device='cuda:0'), tensor(0.7939, device='cuda:0'), tensor(0.7577, device='cuda:0'), tensor(0.7692, device='cuda:0'), tensor(0.7852, device='cuda:0')]

Output distance: [tensor(7044.1973, device='cuda:0'), tensor(7621.0308, device='cuda:0'), tensor(5736.1621, device='cuda:0'), tensor(7931.8345, device='cuda:0'), tensor(7773.2178, device='cuda:0'), tensor(7195.6528, device='cuda:0'), tensor(6765.2490, device='cuda:0'), tensor(8528.0625, device='cuda:0'), tensor(8642.0781, device='cuda:0'), tensor(5667.1118, device='cuda:0')]

Prediction loss: [tensor(7234.3540, device='cuda:0'), tensor(8963.1201, device='cuda:0'), tensor(6534.9658, device='cuda:0'), tensor(8577.7979, device='cuda:0'), tensor(8995.4463, device='cuda:0'), tensor(8353.9248, device='cuda:0'), tensor(7149.5908, device='cuda:0'), tensor(9520.7744, device='cuda:0'), tensor(9431.6748, device='cuda:0'), tensor(6283.6748, device='cuda:0')]

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

Compressed training loss: [tensor(3458865.2500, device='cuda:0'), tensor(3741556.7500, device='cuda:0'), tensor(3660794.2500, device='cuda:0'), tensor(3619321.7500, device='cuda:0'), tensor(3741044., device='cuda:0'), tensor(3577680.7500, device='cuda:0'), tensor(3610449.5000, device='cuda:0'), tensor(3730507.5000, device='cuda:0'), tensor(3679255., device='cuda:0'), tensor(3551569., device='cuda:0')]

Training loss: 3581972.5

Prediction time: [datetime.timedelta(microseconds=43812), datetime.timedelta(microseconds=42818), datetime.timedelta(microseconds=42815), datetime.timedelta(microseconds=43814), datetime.timedelta(microseconds=42818), datetime.timedelta(microseconds=44810), datetime.timedelta(microseconds=43814), datetime.timedelta(microseconds=42818), datetime.timedelta(microseconds=42819), datetime.timedelta(microseconds=42818)]

Phi time: [datetime.timedelta(seconds=1, microseconds=380532), datetime.timedelta(microseconds=797446), datetime.timedelta(microseconds=792779), datetime.timedelta(microseconds=798906), datetime.timedelta(microseconds=806360), datetime.timedelta(microseconds=800438), datetime.timedelta(microseconds=809654), datetime.timedelta(microseconds=809511), datetime.timedelta(microseconds=799457), datetime.timedelta(microseconds=806559)]

