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

Output distance: [tensor(662.4846, device='cuda:0'), tensor(662.3423, device='cuda:0'), tensor(663.6089, device='cuda:0')]

Prediction loss: [tensor(674.8975, device='cuda:0'), tensor(649.5931, device='cuda:0'), tensor(690.9604, device='cuda:0')]

Others: [{'iter_num': 9, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'iter_num': 11, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}, {'iter_num': 9, 'num_positive': tensor(60, device='cuda:0'), 'num_positive_true': tensor(180, device='cuda:0')}]

Compressed training loss: [tensor(1026.4146, device='cuda:0'), tensor(982.8784, device='cuda:0'), tensor(1028.3107, device='cuda:0')]

Training loss: 1001.9313354492188

Prediction time: [datetime.timedelta(microseconds=17925), datetime.timedelta(microseconds=10954), datetime.timedelta(microseconds=8962)]

Phi time: [datetime.timedelta(microseconds=6971), datetime.timedelta(microseconds=6971), datetime.timedelta(microseconds=5975)]

