Precision: [tensor(0.4600, device='cuda:0'), tensor(0.4639, device='cuda:0'), tensor(0.4611, device='cuda:0'), tensor(0.4637, device='cuda:0'), tensor(0.4613, device='cuda:0'), tensor(0.4684, device='cuda:0'), tensor(0.4652, device='cuda:0'), tensor(0.4603, device='cuda:0'), tensor(0.4672, device='cuda:0'), tensor(0.4674, device='cuda:0')]

Output distance: [tensor(19.2651, device='cuda:0'), tensor(19.2421, device='cuda:0'), tensor(19.2588, device='cuda:0'), tensor(19.2434, device='cuda:0'), tensor(19.2579, device='cuda:0'), tensor(19.2152, device='cuda:0'), tensor(19.2340, device='cuda:0'), tensor(19.2636, device='cuda:0'), tensor(19.2222, device='cuda:0'), tensor(19.2210, device='cuda:0')]

Prediction loss: [tensor(104.8498, device='cuda:0'), tensor(104.9918, device='cuda:0'), tensor(104.8816, device='cuda:0'), tensor(105.6319, device='cuda:0'), tensor(104.3513, device='cuda:0'), tensor(105.0064, device='cuda:0'), tensor(105.0441, device='cuda:0'), tensor(104.9625, device='cuda:0'), tensor(105.3565, device='cuda:0'), tensor(104.9919, 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=831235), datetime.timedelta(seconds=1, microseconds=842235), datetime.timedelta(seconds=1, microseconds=835216), datetime.timedelta(seconds=1, microseconds=846170), datetime.timedelta(seconds=1, microseconds=883955), datetime.timedelta(seconds=1, microseconds=869070), datetime.timedelta(seconds=1, microseconds=841196), datetime.timedelta(seconds=1, microseconds=850153), datetime.timedelta(seconds=1, microseconds=858123), datetime.timedelta(seconds=1, microseconds=883957)]

Phi time: [datetime.timedelta(seconds=6, microseconds=268741), datetime.timedelta(seconds=6, microseconds=35771), datetime.timedelta(seconds=6, microseconds=60239), datetime.timedelta(seconds=6, microseconds=67278), datetime.timedelta(seconds=6, microseconds=76935), datetime.timedelta(seconds=6, microseconds=40641), datetime.timedelta(seconds=5, microseconds=985262), datetime.timedelta(seconds=6, microseconds=54617), datetime.timedelta(seconds=5, microseconds=980254), datetime.timedelta(seconds=5, microseconds=992942)]

