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

Output distance: [tensor(2685.1919, device='cuda:0'), tensor(2701.4292, device='cuda:0'), tensor(2687.0767, device='cuda:0')]

Prediction loss: [tensor(2658.7405, device='cuda:0'), tensor(2616.0132, device='cuda:0'), tensor(2642.1848, device='cuda:0')]

Others: [{'alpha': 0.01, 'l1_ratio': 0.1, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'alpha': 0.01, 'l1_ratio': 0.1, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'alpha': 0.01, 'l1_ratio': 0.1, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}]

Compressed training loss: [tensor(962.9590, device='cuda:0'), tensor(960.8430, device='cuda:0'), tensor(983.1646, device='cuda:0')]

Training loss: 984.397705078125

Prediction time: [datetime.timedelta(microseconds=60742), datetime.timedelta(microseconds=61738), datetime.timedelta(microseconds=59747)]

Phi time: [datetime.timedelta(microseconds=6972), datetime.timedelta(microseconds=6971), datetime.timedelta(microseconds=5974)]

