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

Output distance: [tensor(3293.2114, device='cuda:0'), tensor(3293.2114, device='cuda:0'), tensor(3293.2114, device='cuda:0')]

Prediction loss: [tensor(3300.1272, device='cuda:0'), tensor(3218.2263, device='cuda:0'), tensor(3174.0872, device='cuda:0')]

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

Compressed training loss: [tensor(981.0391, device='cuda:0'), tensor(975.2515, device='cuda:0'), tensor(957.8531, device='cuda:0')]

Training loss: 973.6889038085938

Prediction time: [datetime.timedelta(microseconds=40827), datetime.timedelta(microseconds=39269), datetime.timedelta(microseconds=40825)]

Phi time: [datetime.timedelta(microseconds=4978), datetime.timedelta(microseconds=8525), datetime.timedelta(microseconds=6971)]

