Precision: [tensor(0.5143, device='cuda:0'), tensor(0.5151, device='cuda:0'), tensor(0.5157, device='cuda:0'), tensor(0.5105, device='cuda:0'), tensor(0.5112, device='cuda:0'), tensor(0.5130, device='cuda:0'), tensor(0.5078, device='cuda:0'), tensor(0.5118, device='cuda:0'), tensor(0.5098, device='cuda:0'), tensor(0.5126, device='cuda:0')]

Output distance: [tensor(5.2203, device='cuda:0'), tensor(5.2155, device='cuda:0'), tensor(5.2119, device='cuda:0'), tensor(5.2434, device='cuda:0'), tensor(5.2386, device='cuda:0'), tensor(5.2281, device='cuda:0'), tensor(5.2591, device='cuda:0'), tensor(5.2355, device='cuda:0'), tensor(5.2476, device='cuda:0'), tensor(5.2302, device='cuda:0')]

Prediction loss: [tensor(18763730., device='cuda:0'), tensor(19925914., device='cuda:0'), tensor(19560010., device='cuda:0'), tensor(20267540., device='cuda:0'), tensor(18006686., device='cuda:0'), tensor(16239124., device='cuda:0'), tensor(20005630., device='cuda:0'), tensor(16084138., device='cuda:0'), tensor(18496444., device='cuda:0'), tensor(16515496., device='cuda:0')]

Others: [{'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}, {'num_positive': tensor(11427, device='cuda:0'), 'num_positive_true': tensor(20211, device='cuda:0')}]

Compressed training loss: [tensor(40800.2578, device='cuda:0'), tensor(40854.8125, device='cuda:0'), tensor(41201.4688, device='cuda:0'), tensor(40593.5078, device='cuda:0'), tensor(40754.4766, device='cuda:0'), tensor(40982.3750, device='cuda:0'), tensor(40583.6367, device='cuda:0'), tensor(40833.5508, device='cuda:0'), tensor(40686.2852, device='cuda:0'), tensor(40781.9727, device='cuda:0')]

Training loss: 0

Prediction time: [datetime.timedelta(microseconds=922638), datetime.timedelta(microseconds=926000), datetime.timedelta(microseconds=884402), datetime.timedelta(microseconds=902320), datetime.timedelta(microseconds=883535), datetime.timedelta(microseconds=935066), datetime.timedelta(microseconds=902588), datetime.timedelta(microseconds=931055), datetime.timedelta(microseconds=903267), datetime.timedelta(microseconds=889636)]

Phi time: [datetime.timedelta(microseconds=385926), datetime.timedelta(microseconds=199366), datetime.timedelta(microseconds=215589), datetime.timedelta(microseconds=197674), datetime.timedelta(microseconds=196657), datetime.timedelta(microseconds=202889), datetime.timedelta(microseconds=185300), datetime.timedelta(microseconds=183035), datetime.timedelta(microseconds=191606), datetime.timedelta(microseconds=179936)]

