Precision: [tensor(0.1023, device='cuda:0'), tensor(0.1142, device='cuda:0'), tensor(0.1164, device='cuda:0'), tensor(0.1192, device='cuda:0'), tensor(0.1195, device='cuda:0'), tensor(0.1300, device='cuda:0'), tensor(0.1210, device='cuda:0'), tensor(0.1194, device='cuda:0'), tensor(0.1099, device='cuda:0'), tensor(0.1247, device='cuda:0')]

Output distance: [tensor(23.0027, device='cuda:0'), tensor(22.8836, device='cuda:0'), tensor(22.8609, device='cuda:0'), tensor(22.8334, device='cuda:0'), tensor(22.8307, device='cuda:0'), tensor(22.7258, device='cuda:0'), tensor(22.8156, device='cuda:0'), tensor(22.8316, device='cuda:0'), tensor(22.9268, device='cuda:0'), tensor(22.7787, device='cuda:0')]

Prediction loss: [tensor(95.6843, device='cuda:0'), tensor(95.8641, device='cuda:0'), tensor(97.4901, device='cuda:0'), tensor(96.4271, device='cuda:0'), tensor(97.7049, device='cuda:0'), tensor(96.0735, device='cuda:0'), tensor(96.6303, device='cuda:0'), tensor(96.2455, device='cuda:0'), tensor(96.3427, device='cuda:0'), tensor(97.2862, device='cuda:0')]

Others: [{'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(33080, 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=1, microseconds=995537), datetime.timedelta(seconds=1, microseconds=963672), datetime.timedelta(seconds=1, microseconds=947739), datetime.timedelta(seconds=1, microseconds=967655), datetime.timedelta(seconds=1, microseconds=943757), datetime.timedelta(seconds=1, microseconds=943755), datetime.timedelta(seconds=1, microseconds=952717), datetime.timedelta(seconds=1, microseconds=989562), datetime.timedelta(seconds=1, microseconds=959686), datetime.timedelta(seconds=1, microseconds=940768)]

Phi time: [datetime.timedelta(seconds=4, microseconds=849432), datetime.timedelta(seconds=4, microseconds=759633), datetime.timedelta(seconds=4, microseconds=805618), datetime.timedelta(seconds=4, microseconds=779727), datetime.timedelta(seconds=4, microseconds=795327), datetime.timedelta(seconds=4, microseconds=772757), datetime.timedelta(seconds=4, microseconds=788688), datetime.timedelta(seconds=4, microseconds=778877), datetime.timedelta(seconds=4, microseconds=780724), datetime.timedelta(seconds=4, microseconds=783711)]

