Precision: [tensor(0.6079, device='cuda:0'), tensor(0.5738, device='cuda:0'), tensor(0.5666, device='cuda:0'), tensor(0.5543, device='cuda:0'), tensor(0.5730, device='cuda:0'), tensor(0.5487, device='cuda:0'), tensor(0.5734, device='cuda:0'), tensor(0.5537, device='cuda:0'), tensor(0.5704, device='cuda:0'), tensor(0.5590, device='cuda:0')]

Output distance: [tensor(53186.1367, device='cuda:0'), tensor(58583.8242, device='cuda:0'), tensor(53141.4180, device='cuda:0'), tensor(55973.5938, device='cuda:0'), tensor(49208.3203, device='cuda:0'), tensor(60686.9219, device='cuda:0'), tensor(54002.5156, device='cuda:0'), tensor(56503.8008, device='cuda:0'), tensor(51308.0898, device='cuda:0'), tensor(50597.0273, device='cuda:0')]

Prediction loss: [tensor(59512.7578, device='cuda:0'), tensor(74807.0625, device='cuda:0'), tensor(59471.3398, device='cuda:0'), tensor(60669.0430, device='cuda:0'), tensor(55702.8477, device='cuda:0'), tensor(72002.3516, device='cuda:0'), tensor(50230.9805, device='cuda:0'), tensor(67270.7812, device='cuda:0'), tensor(51440.4062, device='cuda:0'), tensor(49354.9531, device='cuda:0')]

Others: [{'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(3439416.5000, device='cuda:0'), tensor(3610486.5000, device='cuda:0'), tensor(3544311.7500, device='cuda:0'), tensor(3660597., device='cuda:0'), tensor(3490212.5000, device='cuda:0'), tensor(3657565.2500, device='cuda:0'), tensor(3441720.7500, device='cuda:0'), tensor(3530975., device='cuda:0'), tensor(3347470.5000, device='cuda:0'), tensor(3466696.7500, device='cuda:0')]

Training loss: 3594510.0

Prediction time: [datetime.timedelta(microseconds=24895), datetime.timedelta(microseconds=23898), datetime.timedelta(microseconds=23898), datetime.timedelta(microseconds=26887), datetime.timedelta(microseconds=26889), datetime.timedelta(microseconds=23899), datetime.timedelta(microseconds=23899), datetime.timedelta(microseconds=28885), datetime.timedelta(microseconds=27882), datetime.timedelta(microseconds=23898)]

Phi time: [datetime.timedelta(seconds=1, microseconds=252628), datetime.timedelta(microseconds=673238), datetime.timedelta(microseconds=668948), datetime.timedelta(microseconds=675296), datetime.timedelta(microseconds=667559), datetime.timedelta(microseconds=672725), datetime.timedelta(microseconds=670059), datetime.timedelta(microseconds=670278), datetime.timedelta(microseconds=674078), datetime.timedelta(microseconds=691045)]

