Precision: [tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0')]

Output distance: [tensor(649.4772, device='cuda:0'), tensor(640.3958, device='cuda:0'), tensor(646.5724, device='cuda:0')]

Prediction loss: [tensor(638.8984, device='cuda:0'), tensor(653.9998, device='cuda:0'), tensor(640.2944, device='cuda:0')]

Others: [{'alpha': 0.01, 'l1_ratio': 1, 'num_positive': tensor(58, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'alpha': 0.01, 'l1_ratio': 1, 'num_positive': tensor(58, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'alpha': 0.01, 'l1_ratio': 1, 'num_positive': tensor(58, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}]

Compressed training loss: [tensor(910.8381, device='cuda:0'), tensor(935.6049, device='cuda:0'), tensor(905.4050, device='cuda:0')]

Training loss: 905.3342895507812

Prediction time: [datetime.timedelta(microseconds=117502), datetime.timedelta(microseconds=51782), datetime.timedelta(microseconds=48793)]

Phi time: [datetime.timedelta(microseconds=41822), datetime.timedelta(microseconds=4979), datetime.timedelta(microseconds=6970)]

