Precision: [tensor(0.4223, device='cuda:0'), tensor(0.4306, device='cuda:0'), tensor(0.4316, device='cuda:0'), tensor(0.4287, device='cuda:0'), tensor(0.4288, device='cuda:0'), tensor(0.4327, device='cuda:0'), tensor(0.4288, device='cuda:0'), tensor(0.4257, device='cuda:0'), tensor(0.4284, device='cuda:0'), tensor(0.4222, device='cuda:0')]

Output distance: [tensor(5.7721, device='cuda:0'), tensor(5.7222, device='cuda:0'), tensor(5.7165, device='cuda:0'), tensor(5.7338, device='cuda:0'), tensor(5.7333, device='cuda:0'), tensor(5.7102, device='cuda:0'), tensor(5.7333, device='cuda:0'), tensor(5.7516, device='cuda:0'), tensor(5.7359, device='cuda:0'), tensor(5.7732, device='cuda:0')]

Prediction loss: [tensor(17539366., device='cuda:0'), tensor(20080818., device='cuda:0'), tensor(17848114., device='cuda:0'), tensor(18689538., device='cuda:0'), tensor(17711644., device='cuda:0'), tensor(13795752., device='cuda:0'), tensor(19175928., device='cuda:0'), tensor(20546992., device='cuda:0'), tensor(18962576., device='cuda:0'), tensor(18609270., device='cuda:0')]

Others: [{'iter_num': 9, 'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'iter_num': 11, 'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'iter_num': 11, 'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'iter_num': 11, 'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'iter_num': 11, 'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'iter_num': 9, 'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'iter_num': 13, 'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'iter_num': 11, 'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'iter_num': 11, 'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'iter_num': 11, 'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}]

Compressed training loss: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

Training loss: 0

Prediction time: [datetime.timedelta(seconds=1, microseconds=76437), datetime.timedelta(seconds=1, microseconds=83406), datetime.timedelta(seconds=1, microseconds=74446), datetime.timedelta(seconds=1, microseconds=66478), datetime.timedelta(seconds=1, microseconds=63492), datetime.timedelta(seconds=1, microseconds=60504), datetime.timedelta(seconds=1, microseconds=84403), datetime.timedelta(seconds=1, microseconds=40589), datetime.timedelta(seconds=1, microseconds=59509), datetime.timedelta(seconds=1, microseconds=75440)]

Phi time: [datetime.timedelta(microseconds=238986), datetime.timedelta(microseconds=239982), datetime.timedelta(microseconds=237991), datetime.timedelta(microseconds=230024), datetime.timedelta(microseconds=239983), datetime.timedelta(microseconds=224048), datetime.timedelta(microseconds=233010), datetime.timedelta(microseconds=235998), datetime.timedelta(microseconds=244961), datetime.timedelta(microseconds=252929)]

