Precision: [tensor(0.8402, device='cuda:0'), tensor(0.8096, device='cuda:0'), tensor(0.8373, device='cuda:0'), tensor(0.8178, device='cuda:0'), tensor(0.8407, device='cuda:0'), tensor(0.8549, device='cuda:0'), tensor(0.8252, device='cuda:0'), tensor(0.8264, device='cuda:0'), tensor(0.8301, device='cuda:0'), tensor(0.8611, device='cuda:0')]

Output distance: [tensor(2657.9414, device='cuda:0'), tensor(3092.1121, device='cuda:0'), tensor(2426.2783, device='cuda:0'), tensor(3091.1650, device='cuda:0'), tensor(2589.5803, device='cuda:0'), tensor(2416.7402, device='cuda:0'), tensor(3499.7783, device='cuda:0'), tensor(2755.5579, device='cuda:0'), tensor(2762.3137, device='cuda:0'), tensor(2842.3723, device='cuda:0')]

Prediction loss: [tensor(3087.1526, device='cuda:0'), tensor(3403.8279, device='cuda:0'), tensor(2667.5349, device='cuda:0'), tensor(3401.1230, device='cuda:0'), tensor(2914.4619, device='cuda:0'), tensor(2507.5925, device='cuda:0'), tensor(3654.1990, device='cuda:0'), tensor(3143.7134, device='cuda:0'), tensor(3144.4365, device='cuda:0'), tensor(3379.5059, 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(3676425.2500, device='cuda:0'), tensor(3564132.7500, device='cuda:0'), tensor(3564998., device='cuda:0'), tensor(3599263.5000, device='cuda:0'), tensor(3695610., device='cuda:0'), tensor(3477620., device='cuda:0'), tensor(3566973., device='cuda:0'), tensor(3659198.2500, device='cuda:0'), tensor(3652750.5000, device='cuda:0'), tensor(3706956., device='cuda:0')]

Training loss: 3624796.75

Prediction time: [datetime.timedelta(microseconds=69703), datetime.timedelta(microseconds=70703), datetime.timedelta(microseconds=69703), datetime.timedelta(microseconds=70701), datetime.timedelta(microseconds=69703), datetime.timedelta(microseconds=70699), datetime.timedelta(microseconds=70700), datetime.timedelta(microseconds=69705), datetime.timedelta(microseconds=70700), datetime.timedelta(microseconds=69701)]

Phi time: [datetime.timedelta(seconds=1, microseconds=520872), datetime.timedelta(microseconds=954060), datetime.timedelta(microseconds=929220), datetime.timedelta(microseconds=957963), datetime.timedelta(microseconds=961831), datetime.timedelta(microseconds=959376), datetime.timedelta(microseconds=953883), datetime.timedelta(microseconds=958547), datetime.timedelta(microseconds=974592), datetime.timedelta(microseconds=970596)]

