Precision: [tensor(0.4510, device='cuda:0'), tensor(0.4518, device='cuda:0'), tensor(0.4539, device='cuda:0'), tensor(0.4497, device='cuda:0'), tensor(0.4523, device='cuda:0'), tensor(0.4481, device='cuda:0'), tensor(0.4568, device='cuda:0'), tensor(0.4558, device='cuda:0'), tensor(0.4642, device='cuda:0'), tensor(0.4563, device='cuda:0')]

Output distance: [tensor(5.4040, device='cuda:0'), tensor(5.4025, device='cuda:0'), tensor(5.3983, device='cuda:0'), tensor(5.4067, device='cuda:0'), tensor(5.4014, device='cuda:0'), tensor(5.4098, device='cuda:0'), tensor(5.3925, device='cuda:0'), tensor(5.3946, device='cuda:0'), tensor(5.3778, device='cuda:0'), tensor(5.3935, device='cuda:0')]

Prediction loss: [tensor(18397940., device='cuda:0'), tensor(19449200., device='cuda:0'), tensor(19347756., device='cuda:0'), tensor(18575272., device='cuda:0'), tensor(17816914., device='cuda:0'), tensor(19142184., device='cuda:0'), tensor(18429468., device='cuda:0'), tensor(17780444., device='cuda:0'), tensor(18623318., device='cuda:0'), tensor(20865786., 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: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

Training loss: 0

Prediction time: [datetime.timedelta(seconds=7, microseconds=378093), datetime.timedelta(seconds=7, microseconds=342548), datetime.timedelta(seconds=7, microseconds=384162), datetime.timedelta(seconds=7, microseconds=125281), datetime.timedelta(seconds=7, microseconds=763171), datetime.timedelta(seconds=6, microseconds=999451), datetime.timedelta(seconds=7, microseconds=493885), datetime.timedelta(seconds=7, microseconds=434141), datetime.timedelta(seconds=7, microseconds=813439), datetime.timedelta(seconds=7, microseconds=216025)]

Phi time: [datetime.timedelta(microseconds=203147), datetime.timedelta(microseconds=288787), datetime.timedelta(microseconds=219084), datetime.timedelta(microseconds=412269), datetime.timedelta(microseconds=356504), datetime.timedelta(microseconds=319658), datetime.timedelta(microseconds=215099), datetime.timedelta(microseconds=213104), datetime.timedelta(microseconds=373433), datetime.timedelta(microseconds=407292)]

