Precision: [tensor(0.7817, device='cuda:0'), tensor(0.7678, device='cuda:0'), tensor(0.7903, device='cuda:0'), tensor(0.8002, device='cuda:0'), tensor(0.7883, device='cuda:0'), tensor(0.7839, device='cuda:0'), tensor(0.7737, device='cuda:0'), tensor(0.7869, device='cuda:0'), tensor(0.7756, device='cuda:0'), tensor(0.7837, device='cuda:0')]

Output distance: [tensor(26972.5566, device='cuda:0'), tensor(30140.5020, device='cuda:0'), tensor(25907.4473, device='cuda:0'), tensor(22595.7031, device='cuda:0'), tensor(26606.3418, device='cuda:0'), tensor(24927.0645, device='cuda:0'), tensor(27653.7383, device='cuda:0'), tensor(26452.4238, device='cuda:0'), tensor(30710.8965, device='cuda:0'), tensor(25473.1484, device='cuda:0')]

Prediction loss: [tensor(23977.7227, device='cuda:0'), tensor(30804.9062, device='cuda:0'), tensor(23556.0371, device='cuda:0'), tensor(21564.0703, device='cuda:0'), tensor(23932.9570, device='cuda:0'), tensor(23713.9121, device='cuda:0'), tensor(25856.6406, device='cuda:0'), tensor(24707.1914, device='cuda:0'), tensor(31049.4316, device='cuda:0'), tensor(23257.7520, 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(1.9032e+08, device='cuda:0'), tensor(1.9154e+08, device='cuda:0'), tensor(1.9234e+08, device='cuda:0'), tensor(1.9433e+08, device='cuda:0'), tensor(1.9126e+08, device='cuda:0'), tensor(1.9153e+08, device='cuda:0'), tensor(1.8975e+08, device='cuda:0'), tensor(1.9343e+08, device='cuda:0'), tensor(1.9290e+08, device='cuda:0'), tensor(1.9099e+08, device='cuda:0')]

Training loss: 192641312.0

Prediction time: [datetime.timedelta(microseconds=70702), datetime.timedelta(microseconds=70705), datetime.timedelta(microseconds=70702), datetime.timedelta(microseconds=71697), datetime.timedelta(microseconds=70703), datetime.timedelta(microseconds=71696), datetime.timedelta(microseconds=70704), datetime.timedelta(microseconds=71698), datetime.timedelta(microseconds=70702), datetime.timedelta(microseconds=70704)]

Phi time: [datetime.timedelta(seconds=1, microseconds=597325), datetime.timedelta(microseconds=996214), datetime.timedelta(microseconds=954292), datetime.timedelta(microseconds=986065), datetime.timedelta(seconds=1, microseconds=12614), datetime.timedelta(microseconds=997091), datetime.timedelta(seconds=1, microseconds=3345), datetime.timedelta(microseconds=981923), datetime.timedelta(microseconds=988863), datetime.timedelta(microseconds=976258)]

