Precision: [tensor(0.3283, device='cuda:0'), tensor(0.3432, device='cuda:0'), tensor(0.3402, device='cuda:0'), tensor(0.3313, device='cuda:0'), tensor(0.3372, device='cuda:0'), tensor(0.3273, device='cuda:0'), tensor(0.3347, device='cuda:0'), tensor(0.3350, device='cuda:0'), tensor(0.3384, device='cuda:0'), tensor(0.3395, device='cuda:0')]

Output distance: [tensor(20.0553, device='cuda:0'), tensor(19.9661, device='cuda:0'), tensor(19.9843, device='cuda:0'), tensor(20.0378, device='cuda:0'), tensor(20.0021, device='cuda:0'), tensor(20.0614, device='cuda:0'), tensor(20.0169, device='cuda:0'), tensor(20.0154, device='cuda:0'), tensor(19.9952, device='cuda:0'), tensor(19.9882, device='cuda:0')]

Prediction loss: [tensor(104.9795, device='cuda:0'), tensor(106.2855, device='cuda:0'), tensor(105.2582, device='cuda:0'), tensor(105.5279, device='cuda:0'), tensor(105.6778, device='cuda:0'), tensor(105.8577, device='cuda:0'), tensor(105.5308, device='cuda:0'), tensor(106.4445, device='cuda:0'), tensor(106.2435, device='cuda:0'), tensor(105.1261, device='cuda:0')]

Others: [{'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'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=282, microseconds=657945), datetime.timedelta(seconds=281, microseconds=821337), datetime.timedelta(seconds=282, microseconds=82544), datetime.timedelta(seconds=280, microseconds=791848), datetime.timedelta(seconds=281, microseconds=481189), datetime.timedelta(seconds=283, microseconds=51397), datetime.timedelta(seconds=283, microseconds=14937), datetime.timedelta(seconds=280, microseconds=389819), datetime.timedelta(seconds=280, microseconds=216502), datetime.timedelta(seconds=282, microseconds=371432)]

Phi time: [datetime.timedelta(seconds=5, microseconds=157099), datetime.timedelta(seconds=4, microseconds=963966), datetime.timedelta(seconds=5, microseconds=70923), datetime.timedelta(seconds=4, microseconds=928997), datetime.timedelta(seconds=4, microseconds=944533), datetime.timedelta(seconds=5, microseconds=64554), datetime.timedelta(seconds=4, microseconds=899684), datetime.timedelta(seconds=5, microseconds=113957), datetime.timedelta(seconds=4, microseconds=912560), datetime.timedelta(seconds=5, microseconds=50069)]

