Precision: [tensor(0.3682, device='cuda:0'), tensor(0.3629, device='cuda:0'), tensor(0.3788, device='cuda:0'), tensor(0.3303, device='cuda:0'), tensor(0.3646, device='cuda:0'), tensor(0.3573, device='cuda:0'), tensor(0.3777, device='cuda:0'), tensor(0.3594, device='cuda:0'), tensor(0.3885, device='cuda:0'), tensor(0.3738, device='cuda:0')]

Output distance: [tensor(19.2890, device='cuda:0'), tensor(19.2996, device='cuda:0'), tensor(19.2678, device='cuda:0'), tensor(19.3649, device='cuda:0'), tensor(19.2963, device='cuda:0'), tensor(19.3108, device='cuda:0'), tensor(19.2700, device='cuda:0'), tensor(19.3065, device='cuda:0'), tensor(19.2485, device='cuda:0'), tensor(19.2778, device='cuda:0')]

Prediction loss: [tensor(108.8842, device='cuda:0'), tensor(108.3716, device='cuda:0'), tensor(108.1295, device='cuda:0'), tensor(106.7103, device='cuda:0'), tensor(107.7877, device='cuda:0'), tensor(106.8672, device='cuda:0'), tensor(109.8020, device='cuda:0'), tensor(107.5552, device='cuda:0'), tensor(107.5364, device='cuda:0'), tensor(109.1481, device='cuda:0')]

Others: [{'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, 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=701835), datetime.timedelta(seconds=1, microseconds=711740), datetime.timedelta(seconds=1, microseconds=773478), datetime.timedelta(seconds=1, microseconds=731708), datetime.timedelta(seconds=1, microseconds=730659), datetime.timedelta(seconds=1, microseconds=696802), datetime.timedelta(seconds=1, microseconds=699843), datetime.timedelta(seconds=1, microseconds=739622), datetime.timedelta(seconds=1, microseconds=712736), datetime.timedelta(seconds=1, microseconds=693816)]

Phi time: [datetime.timedelta(seconds=4, microseconds=450854), datetime.timedelta(seconds=4, microseconds=400505), datetime.timedelta(seconds=4, microseconds=401851), datetime.timedelta(seconds=4, microseconds=374448), datetime.timedelta(seconds=4, microseconds=377271), datetime.timedelta(seconds=4, microseconds=371102), datetime.timedelta(seconds=4, microseconds=393048), datetime.timedelta(seconds=4, microseconds=387777), datetime.timedelta(seconds=4, microseconds=408067), datetime.timedelta(seconds=4, microseconds=411523)]

