Precision: [tensor(0.7710, device='cuda:0'), tensor(0.7418, device='cuda:0'), tensor(0.7542, device='cuda:0'), tensor(0.7629, device='cuda:0'), tensor(0.7607, device='cuda:0'), tensor(0.7652, device='cuda:0'), tensor(0.7607, device='cuda:0'), tensor(0.7467, device='cuda:0'), tensor(0.7846, device='cuda:0'), tensor(0.7183, device='cuda:0')]

Output distance: [tensor(3634.9626, device='cuda:0'), tensor(4542.1968, device='cuda:0'), tensor(3734.7893, device='cuda:0'), tensor(4068.1987, device='cuda:0'), tensor(5152.6611, device='cuda:0'), tensor(3612.7764, device='cuda:0'), tensor(3563.6379, device='cuda:0'), tensor(4376.1670, device='cuda:0'), tensor(3619.6641, device='cuda:0'), tensor(4913.3062, device='cuda:0')]

Prediction loss: [tensor(3852.7544, device='cuda:0'), tensor(4942.2432, device='cuda:0'), tensor(4084.2190, device='cuda:0'), tensor(4341.6440, device='cuda:0'), tensor(5454.7993, device='cuda:0'), tensor(3957.6643, device='cuda:0'), tensor(3702.7795, device='cuda:0'), tensor(4559.2754, device='cuda:0'), tensor(3900.8289, device='cuda:0'), tensor(4628.3774, 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(8843021., device='cuda:0'), tensor(9001392., device='cuda:0'), tensor(9004952., device='cuda:0'), tensor(8987697., device='cuda:0'), tensor(8905467., device='cuda:0'), tensor(9078168., device='cuda:0'), tensor(8954020., device='cuda:0'), tensor(8995918., device='cuda:0'), tensor(8952133., device='cuda:0'), tensor(8578419., device='cuda:0')]

Training loss: 8906284.0

Prediction time: [datetime.timedelta(microseconds=85643), datetime.timedelta(microseconds=85637), datetime.timedelta(microseconds=83646), datetime.timedelta(microseconds=84641), datetime.timedelta(microseconds=83645), datetime.timedelta(microseconds=82653), datetime.timedelta(microseconds=83639), datetime.timedelta(microseconds=83646), datetime.timedelta(microseconds=84641), datetime.timedelta(microseconds=85640)]

Phi time: [datetime.timedelta(seconds=1, microseconds=487286), datetime.timedelta(microseconds=868581), datetime.timedelta(microseconds=866855), datetime.timedelta(microseconds=910743), datetime.timedelta(microseconds=885356), datetime.timedelta(microseconds=883505), datetime.timedelta(microseconds=882051), datetime.timedelta(microseconds=884897), datetime.timedelta(microseconds=880669), datetime.timedelta(microseconds=885255)]

