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

Output distance: [tensor(683.2192, device='cuda:0'), tensor(682.4709, device='cuda:0'), tensor(681.1389, device='cuda:0')]

Prediction loss: [tensor(699.7407, device='cuda:0'), tensor(684.6202, device='cuda:0'), tensor(700.8043, device='cuda:0')]

Others: [{'alpha': 0.01, 'l1_ratio': 1, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'alpha': 0.01, 'l1_ratio': 1, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'alpha': 0.01, 'l1_ratio': 1, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}]

Compressed training loss: [tensor(1003.9146, device='cuda:0'), tensor(982.3625, device='cuda:0'), tensor(988.2377, device='cuda:0')]

Training loss: 994.26220703125

Prediction time: [datetime.timedelta(microseconds=111532), datetime.timedelta(microseconds=52777), datetime.timedelta(microseconds=47799)]

Phi time: [datetime.timedelta(microseconds=41824), datetime.timedelta(microseconds=4979), datetime.timedelta(microseconds=5975)]

