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

Output distance: [tensor(3051.0566, device='cuda:0'), tensor(3074.9626, device='cuda:0'), tensor(3058.1973, device='cuda:0')]

Prediction loss: [tensor(3161.1609, device='cuda:0'), tensor(2891.3447, device='cuda:0'), tensor(3035.6201, device='cuda:0')]

Others: [{'alpha': 0.1, 'l1_ratio': 1, 'num_positive': tensor(1, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'alpha': 0.1, 'l1_ratio': 1, 'num_positive': tensor(1, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'alpha': 0.1, 'l1_ratio': 1, 'num_positive': tensor(1, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}]

Compressed training loss: [tensor(982.0517, device='cuda:0'), tensor(934.4554, device='cuda:0'), tensor(963.1094, device='cuda:0')]

Training loss: 968.5111694335938

Prediction time: [datetime.timedelta(microseconds=41823), datetime.timedelta(microseconds=41820), datetime.timedelta(microseconds=41825)]

Phi time: [datetime.timedelta(microseconds=3984), datetime.timedelta(microseconds=6971), datetime.timedelta(microseconds=6971)]

