Precision: [tensor(0.6629, device='cuda:0'), tensor(0.6556, device='cuda:0'), tensor(0.6676, device='cuda:0'), tensor(0.6653, device='cuda:0'), tensor(0.6535, device='cuda:0'), tensor(0.6535, device='cuda:0'), tensor(0.6619, device='cuda:0'), tensor(0.6645, device='cuda:0'), tensor(0.6650, device='cuda:0'), tensor(0.6577, device='cuda:0')]

Output distance: [tensor(4.9803, device='cuda:0'), tensor(4.9950, device='cuda:0'), tensor(4.9709, device='cuda:0'), tensor(4.9756, device='cuda:0'), tensor(4.9992, device='cuda:0'), tensor(4.9992, device='cuda:0'), tensor(4.9824, device='cuda:0'), tensor(4.9772, device='cuda:0'), tensor(4.9761, device='cuda:0'), tensor(4.9908, device='cuda:0')]

Prediction loss: [tensor(15999993., device='cuda:0'), tensor(19923958., device='cuda:0'), tensor(17607490., device='cuda:0'), tensor(20909828., device='cuda:0'), tensor(16723892., device='cuda:0'), tensor(19194132., device='cuda:0'), tensor(21523074., device='cuda:0'), tensor(19142560., device='cuda:0'), tensor(17219838., device='cuda:0'), tensor(17373730., 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(40674.5547, device='cuda:0'), tensor(40724.5898, device='cuda:0'), tensor(40925.9258, device='cuda:0'), tensor(40905.6250, device='cuda:0'), tensor(40826.6562, device='cuda:0'), tensor(40880.6016, device='cuda:0'), tensor(40767.4844, device='cuda:0'), tensor(40786.1172, device='cuda:0'), tensor(40711.6406, device='cuda:0'), tensor(40791.7344, device='cuda:0')]

Training loss: 0

Prediction time: [datetime.timedelta(microseconds=936553), datetime.timedelta(microseconds=902142), datetime.timedelta(microseconds=894532), datetime.timedelta(microseconds=894864), datetime.timedelta(microseconds=881084), datetime.timedelta(microseconds=900129), datetime.timedelta(microseconds=893227), datetime.timedelta(microseconds=881389), datetime.timedelta(microseconds=881127), datetime.timedelta(microseconds=900200)]

Phi time: [datetime.timedelta(microseconds=415534), datetime.timedelta(microseconds=203317), datetime.timedelta(microseconds=180043), datetime.timedelta(microseconds=184063), datetime.timedelta(microseconds=186399), datetime.timedelta(microseconds=181394), datetime.timedelta(microseconds=203763), datetime.timedelta(microseconds=171611), datetime.timedelta(microseconds=192325), datetime.timedelta(microseconds=188121)]

