Precision: [tensor(0.9997, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9997, device='cuda:0')]

Output distance: [tensor(23732.3867, device='cuda:0'), tensor(23279.9844, device='cuda:0'), tensor(23262.1230, device='cuda:0'), tensor(23967.4160, device='cuda:0'), tensor(23424.7227, device='cuda:0'), tensor(23168.9355, device='cuda:0'), tensor(23182.2695, device='cuda:0'), tensor(23138.2129, device='cuda:0'), tensor(23547.4746, device='cuda:0'), tensor(23465.2051, device='cuda:0')]

Prediction loss: [tensor(23273.7168, device='cuda:0'), tensor(23325.5410, device='cuda:0'), tensor(23736.9082, device='cuda:0'), tensor(23039.7441, device='cuda:0'), tensor(23074.3516, device='cuda:0'), tensor(23015.2480, device='cuda:0'), tensor(23413.2637, device='cuda:0'), tensor(23345.3438, device='cuda:0'), tensor(24421.2324, device='cuda:0'), tensor(22813.4629, device='cuda:0')]

Others: [{'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(8854617., device='cuda:0'), tensor(8924898., device='cuda:0'), tensor(8986406., device='cuda:0'), tensor(8801768., device='cuda:0'), tensor(8865809., device='cuda:0'), tensor(8787613., device='cuda:0'), tensor(8846387., device='cuda:0'), tensor(8974261., device='cuda:0'), tensor(8943260., device='cuda:0'), tensor(8823223., device='cuda:0')]

Training loss: 8844220.0

Prediction time: [datetime.timedelta(microseconds=66717), datetime.timedelta(microseconds=64725), datetime.timedelta(microseconds=67713), datetime.timedelta(microseconds=66717), datetime.timedelta(microseconds=66720), datetime.timedelta(microseconds=66717), datetime.timedelta(microseconds=62734), datetime.timedelta(microseconds=66716), datetime.timedelta(microseconds=64725), datetime.timedelta(microseconds=65721)]

Phi time: [datetime.timedelta(seconds=1, microseconds=552415), datetime.timedelta(microseconds=954606), datetime.timedelta(microseconds=946751), datetime.timedelta(microseconds=968417), datetime.timedelta(microseconds=973322), datetime.timedelta(microseconds=969857), datetime.timedelta(microseconds=968853), datetime.timedelta(microseconds=977747), datetime.timedelta(microseconds=971681), datetime.timedelta(microseconds=964622)]

