Precision: [tensor(0.8758, device='cuda:0'), tensor(0.8760, device='cuda:0'), tensor(0.8570, device='cuda:0'), tensor(0.8794, device='cuda:0'), tensor(0.8608, device='cuda:0'), tensor(0.8857, device='cuda:0'), tensor(0.8557, device='cuda:0'), tensor(0.8713, device='cuda:0'), tensor(0.8685, device='cuda:0'), tensor(0.8507, device='cuda:0')]

Output distance: [tensor(1261.1185, device='cuda:0'), tensor(978.3653, device='cuda:0'), tensor(1306.6747, device='cuda:0'), tensor(899.7695, device='cuda:0'), tensor(1147.8655, device='cuda:0'), tensor(1165.4863, device='cuda:0'), tensor(1804.9298, device='cuda:0'), tensor(1322.3699, device='cuda:0'), tensor(1184.8265, device='cuda:0'), tensor(1580.2301, device='cuda:0')]

Prediction loss: [tensor(1556.1031, device='cuda:0'), tensor(1272.6677, device='cuda:0'), tensor(1561.9717, device='cuda:0'), tensor(1209.7538, device='cuda:0'), tensor(1476.9701, device='cuda:0'), tensor(1434.9197, device='cuda:0'), tensor(1988.1348, device='cuda:0'), tensor(1608.5148, device='cuda:0'), tensor(1474.4969, device='cuda:0'), tensor(1898.0704, device='cuda:0')]

Others: [{'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(3680137.2500, device='cuda:0'), tensor(3641220.5000, device='cuda:0'), tensor(3557929., device='cuda:0'), tensor(3665456.5000, device='cuda:0'), tensor(3700202., device='cuda:0'), tensor(3553402.7500, device='cuda:0'), tensor(3591426.5000, device='cuda:0'), tensor(3653696.5000, device='cuda:0'), tensor(3601714., device='cuda:0'), tensor(3629404., device='cuda:0')]

Training loss: 3633492.5

Prediction time: [datetime.timedelta(microseconds=126466), datetime.timedelta(microseconds=123478), datetime.timedelta(microseconds=121485), datetime.timedelta(microseconds=123474), datetime.timedelta(microseconds=123477), datetime.timedelta(microseconds=123477), datetime.timedelta(microseconds=123478), datetime.timedelta(microseconds=122475), datetime.timedelta(microseconds=123512), datetime.timedelta(microseconds=121477)]

Phi time: [datetime.timedelta(seconds=1, microseconds=853853), datetime.timedelta(seconds=1, microseconds=290514), datetime.timedelta(seconds=1, microseconds=282431), datetime.timedelta(seconds=1, microseconds=305621), datetime.timedelta(seconds=1, microseconds=332077), datetime.timedelta(seconds=1, microseconds=299543), datetime.timedelta(seconds=1, microseconds=314905), datetime.timedelta(seconds=1, microseconds=328175), datetime.timedelta(seconds=1, microseconds=309126), datetime.timedelta(seconds=1, microseconds=317834)]

