Precision: [tensor(0.3483, device='cuda:0'), tensor(0.3366, device='cuda:0'), tensor(0.3456, device='cuda:0'), tensor(0.3437, device='cuda:0'), tensor(0.3481, device='cuda:0'), tensor(0.3442, device='cuda:0'), tensor(0.3503, device='cuda:0'), tensor(0.3505, device='cuda:0'), tensor(0.3382, device='cuda:0'), tensor(0.3542, device='cuda:0')]

Output distance: [tensor(19.9356, device='cuda:0'), tensor(20.0057, device='cuda:0'), tensor(19.9519, device='cuda:0'), tensor(19.9631, device='cuda:0'), tensor(19.9368, device='cuda:0'), tensor(19.9604, device='cuda:0'), tensor(19.9238, device='cuda:0'), tensor(19.9223, device='cuda:0'), tensor(19.9964, device='cuda:0'), tensor(19.9002, device='cuda:0')]

Prediction loss: [tensor(103.1418, device='cuda:0'), tensor(103.5274, device='cuda:0'), tensor(103.5647, device='cuda:0'), tensor(104.0149, device='cuda:0'), tensor(103.6095, device='cuda:0'), tensor(104.0176, device='cuda:0'), tensor(103.7197, device='cuda:0'), tensor(103.9784, device='cuda:0'), tensor(102.8482, device='cuda:0'), tensor(103.9721, device='cuda:0')]

Others: [{'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(19848, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}]

Compressed training loss: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

Training loss: 0

Prediction time: [datetime.timedelta(seconds=1, microseconds=655481), datetime.timedelta(seconds=1, microseconds=650512), datetime.timedelta(seconds=1, microseconds=637481), datetime.timedelta(seconds=1, microseconds=634511), datetime.timedelta(seconds=1, microseconds=652207), datetime.timedelta(seconds=1, microseconds=650033), datetime.timedelta(seconds=1, microseconds=643030), datetime.timedelta(seconds=1, microseconds=645898), datetime.timedelta(seconds=1, microseconds=699988), datetime.timedelta(seconds=1, microseconds=643823)]

Phi time: [datetime.timedelta(seconds=4, microseconds=462736), datetime.timedelta(seconds=4, microseconds=389827), datetime.timedelta(seconds=4, microseconds=387963), datetime.timedelta(seconds=4, microseconds=398777), datetime.timedelta(seconds=4, microseconds=366872), datetime.timedelta(seconds=4, microseconds=407756), datetime.timedelta(seconds=4, microseconds=379843), datetime.timedelta(seconds=4, microseconds=398417), datetime.timedelta(seconds=4, microseconds=361399), datetime.timedelta(seconds=4, microseconds=350431)]

