Precision: [tensor(0.7716, device='cuda:0'), tensor(0.7797, device='cuda:0'), tensor(0.7730, device='cuda:0'), tensor(0.7636, device='cuda:0'), tensor(0.7873, device='cuda:0'), tensor(0.7786, device='cuda:0'), tensor(0.7768, device='cuda:0'), tensor(0.7713, device='cuda:0'), tensor(0.7715, device='cuda:0'), tensor(0.7806, device='cuda:0')]

Output distance: [tensor(2722.7397, device='cuda:0'), tensor(3055.1194, device='cuda:0'), tensor(2666.1619, device='cuda:0'), tensor(2777.7615, device='cuda:0'), tensor(2576.8206, device='cuda:0'), tensor(3380.1406, device='cuda:0'), tensor(3840.5493, device='cuda:0'), tensor(2896.4766, device='cuda:0'), tensor(3047.7371, device='cuda:0'), tensor(3242.8267, device='cuda:0')]

Prediction loss: [tensor(2880.2393, device='cuda:0'), tensor(3195.4846, device='cuda:0'), tensor(2724.5720, device='cuda:0'), tensor(3067.4954, device='cuda:0'), tensor(2745.5752, device='cuda:0'), tensor(3624.3933, device='cuda:0'), tensor(4607.7324, device='cuda:0'), tensor(3175.8140, device='cuda:0'), tensor(3461.7380, device='cuda:0'), tensor(3727.7827, 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(8781234., device='cuda:0'), tensor(8831247., device='cuda:0'), tensor(8638096., device='cuda:0'), tensor(8910496., device='cuda:0'), tensor(8784374., device='cuda:0'), tensor(8953681., device='cuda:0'), tensor(9168314., device='cuda:0'), tensor(8808470., device='cuda:0'), tensor(8926711., device='cuda:0'), tensor(8956459., device='cuda:0')]

Training loss: 8855732.0

Prediction time: [datetime.timedelta(microseconds=70703), datetime.timedelta(microseconds=71696), datetime.timedelta(microseconds=71696), datetime.timedelta(microseconds=71694), datetime.timedelta(microseconds=71693), datetime.timedelta(microseconds=71696), datetime.timedelta(microseconds=71695), datetime.timedelta(microseconds=71698), datetime.timedelta(microseconds=77672), datetime.timedelta(microseconds=73690)]

Phi time: [datetime.timedelta(seconds=1, microseconds=594715), datetime.timedelta(microseconds=972593), datetime.timedelta(microseconds=958069), datetime.timedelta(microseconds=981755), datetime.timedelta(microseconds=990456), datetime.timedelta(microseconds=997489), datetime.timedelta(seconds=1, microseconds=11394), datetime.timedelta(microseconds=983888), datetime.timedelta(microseconds=982290), datetime.timedelta(microseconds=982968)]

