Precision: [tensor(0.1465, device='cuda:0'), tensor(0.1620, device='cuda:0'), tensor(0.1663, device='cuda:0'), tensor(0.1580, device='cuda:0'), tensor(0.1702, device='cuda:0'), tensor(0.1664, device='cuda:0'), tensor(0.1541, device='cuda:0'), tensor(0.1524, device='cuda:0'), tensor(0.1572, device='cuda:0'), tensor(0.1661, device='cuda:0')]

Output distance: [tensor(21.1463, device='cuda:0'), tensor(21.0532, device='cuda:0'), tensor(21.0278, device='cuda:0'), tensor(21.0774, device='cuda:0'), tensor(21.0042, device='cuda:0'), tensor(21.0272, device='cuda:0'), tensor(21.1010, device='cuda:0'), tensor(21.1109, device='cuda:0'), tensor(21.0819, device='cuda:0'), tensor(21.0290, device='cuda:0')]

Prediction loss: [tensor(99.6575, device='cuda:0'), tensor(102.2605, device='cuda:0'), tensor(103.3302, device='cuda:0'), tensor(100.9922, device='cuda:0'), tensor(102.3217, device='cuda:0'), tensor(101.3773, device='cuda:0'), tensor(100.9368, device='cuda:0'), tensor(99.4090, device='cuda:0'), tensor(101.6383, device='cuda:0'), tensor(101.1835, device='cuda:0')]

Others: [{'iter_num': 19, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 19, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 19, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 17, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 17, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 21, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 19, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 17, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 19, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 19, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}]

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

Training loss: 0

Prediction time: [datetime.timedelta(seconds=2, microseconds=874919), datetime.timedelta(seconds=2, microseconds=879898), datetime.timedelta(seconds=2, microseconds=880898), datetime.timedelta(seconds=2, microseconds=803218), datetime.timedelta(seconds=2, microseconds=814172), datetime.timedelta(seconds=2, microseconds=960557), datetime.timedelta(seconds=2, microseconds=904792), datetime.timedelta(seconds=2, microseconds=807203), datetime.timedelta(seconds=2, microseconds=873923), datetime.timedelta(seconds=2, microseconds=888859)]

Phi time: [datetime.timedelta(seconds=4, microseconds=359816), datetime.timedelta(seconds=4, microseconds=348487), datetime.timedelta(seconds=4, microseconds=354085), datetime.timedelta(seconds=4, microseconds=343866), datetime.timedelta(seconds=4, microseconds=322293), datetime.timedelta(seconds=4, microseconds=392467), datetime.timedelta(seconds=4, microseconds=335538), datetime.timedelta(seconds=4, microseconds=356880), datetime.timedelta(seconds=4, microseconds=330613), datetime.timedelta(seconds=4, microseconds=362020)]

