Precision: [tensor(0.6839, device='cuda:0'), tensor(0.6871, device='cuda:0'), tensor(0.6873, device='cuda:0'), tensor(0.6873, device='cuda:0'), tensor(0.6873, device='cuda:0'), tensor(0.6863, device='cuda:0'), tensor(0.6865, device='cuda:0'), tensor(0.6865, device='cuda:0'), tensor(0.6871, device='cuda:0'), tensor(0.6857, device='cuda:0')]

Output distance: [tensor(4.9383, device='cuda:0'), tensor(4.9320, device='cuda:0'), tensor(4.9315, device='cuda:0'), tensor(4.9315, device='cuda:0'), tensor(4.9315, device='cuda:0'), tensor(4.9336, device='cuda:0'), tensor(4.9331, device='cuda:0'), tensor(4.9331, device='cuda:0'), tensor(4.9320, device='cuda:0'), tensor(4.9346, device='cuda:0')]

Prediction loss: [tensor(17905644., device='cuda:0'), tensor(18762958., device='cuda:0'), tensor(18654668., device='cuda:0'), tensor(19565990., device='cuda:0'), tensor(18219808., device='cuda:0'), tensor(19048558., device='cuda:0'), tensor(17798258., device='cuda:0'), tensor(19195864., device='cuda:0'), tensor(18514740., device='cuda:0'), tensor(18666136., device='cuda:0')]

Others: [{'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(3809, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}]

Compressed training loss: [tensor(40992.4844, device='cuda:0'), tensor(40906.7305, device='cuda:0'), tensor(40793.3164, device='cuda:0'), tensor(40778.7422, device='cuda:0'), tensor(40702.4336, device='cuda:0'), tensor(41008.5117, device='cuda:0'), tensor(40761.8281, device='cuda:0'), tensor(40915.8750, device='cuda:0'), tensor(40832.8125, device='cuda:0'), tensor(40824.3828, device='cuda:0')]

Training loss: 0

Prediction time: [datetime.timedelta(microseconds=901511), datetime.timedelta(microseconds=896870), datetime.timedelta(microseconds=934272), datetime.timedelta(microseconds=893048), datetime.timedelta(microseconds=915711), datetime.timedelta(microseconds=903034), datetime.timedelta(microseconds=895335), datetime.timedelta(microseconds=900008), datetime.timedelta(microseconds=934001), datetime.timedelta(microseconds=926301)]

Phi time: [datetime.timedelta(microseconds=422610), datetime.timedelta(microseconds=229349), datetime.timedelta(microseconds=242718), datetime.timedelta(microseconds=234738), datetime.timedelta(microseconds=224889), datetime.timedelta(microseconds=244874), datetime.timedelta(microseconds=227989), datetime.timedelta(microseconds=217676), datetime.timedelta(microseconds=234296), datetime.timedelta(microseconds=242382)]

