Precision: [tensor(0.0561, device='cuda:0'), tensor(0.0420, device='cuda:0'), tensor(0.0743, device='cuda:0'), tensor(0.0487, device='cuda:0'), tensor(0.0445, device='cuda:0'), tensor(0.0375, device='cuda:0'), tensor(0.0480, device='cuda:0'), tensor(0.0837, device='cuda:0'), tensor(0.0567, device='cuda:0'), tensor(0.0462, device='cuda:0')]

Output distance: [tensor(21.6886, device='cuda:0'), tensor(21.7733, device='cuda:0'), tensor(21.5798, device='cuda:0'), tensor(21.7331, device='cuda:0'), tensor(21.7585, device='cuda:0'), tensor(21.8002, device='cuda:0'), tensor(21.7373, device='cuda:0'), tensor(21.5230, device='cuda:0'), tensor(21.6853, device='cuda:0'), tensor(21.7482, device='cuda:0')]

Prediction loss: [tensor(97.9683, device='cuda:0'), tensor(97.2835, device='cuda:0'), tensor(100.0319, device='cuda:0'), tensor(96.5719, device='cuda:0'), tensor(96.6254, device='cuda:0'), tensor(96.0374, device='cuda:0'), tensor(95.5819, device='cuda:0'), tensor(97.2929, device='cuda:0'), tensor(98.0322, device='cuda:0'), tensor(97.6458, device='cuda:0')]

Others: [{'iter_num': 11, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 13, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 13, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 11, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 11, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 11, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 13, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 11, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 13, 'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'iter_num': 11, '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=499449), datetime.timedelta(seconds=2, microseconds=544208), datetime.timedelta(seconds=2, microseconds=593002), datetime.timedelta(seconds=2, microseconds=479487), datetime.timedelta(seconds=2, microseconds=500393), datetime.timedelta(seconds=2, microseconds=532260), datetime.timedelta(seconds=2, microseconds=562131), datetime.timedelta(seconds=2, microseconds=520310), datetime.timedelta(seconds=2, microseconds=569105), datetime.timedelta(seconds=2, microseconds=486454)]

Phi time: [datetime.timedelta(seconds=4, microseconds=251501), datetime.timedelta(seconds=4, microseconds=229883), datetime.timedelta(seconds=4, microseconds=248223), datetime.timedelta(seconds=4, microseconds=265175), datetime.timedelta(seconds=4, microseconds=237490), datetime.timedelta(seconds=4, microseconds=208548), datetime.timedelta(seconds=4, microseconds=251629), datetime.timedelta(seconds=4, microseconds=195779), datetime.timedelta(seconds=4, microseconds=220678), datetime.timedelta(seconds=4, microseconds=213818)]

