Precision: [tensor(0.2451, device='cuda:0'), tensor(0.2330, device='cuda:0'), tensor(0.2467, device='cuda:0'), tensor(0.2558, device='cuda:0'), tensor(0.2479, device='cuda:0'), tensor(0.2200, device='cuda:0'), tensor(0.2464, device='cuda:0'), tensor(0.2336, device='cuda:0'), tensor(0.2519, device='cuda:0'), tensor(0.2492, device='cuda:0')]

Output distance: [tensor(20.5547, device='cuda:0'), tensor(20.6276, device='cuda:0'), tensor(20.5450, device='cuda:0'), tensor(20.4903, device='cuda:0'), tensor(20.5381, device='cuda:0'), tensor(20.7056, device='cuda:0'), tensor(20.5472, device='cuda:0'), tensor(20.6239, device='cuda:0'), tensor(20.5139, device='cuda:0'), tensor(20.5302, device='cuda:0')]

Prediction loss: [tensor(103.4877, device='cuda:0'), tensor(102.4925, device='cuda:0'), tensor(102.4259, device='cuda:0'), tensor(103.4584, device='cuda:0'), tensor(103.4354, device='cuda:0'), tensor(100.6795, device='cuda:0'), tensor(103.8868, device='cuda:0'), tensor(102.1743, device='cuda:0'), tensor(102.6848, device='cuda:0'), tensor(102.0799, 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=628670), datetime.timedelta(seconds=1, microseconds=625248), datetime.timedelta(seconds=1, microseconds=623136), datetime.timedelta(seconds=1, microseconds=616500), datetime.timedelta(seconds=1, microseconds=623155), datetime.timedelta(seconds=1, microseconds=665789), datetime.timedelta(seconds=1, microseconds=625390), datetime.timedelta(seconds=1, microseconds=619270), datetime.timedelta(seconds=1, microseconds=618080), datetime.timedelta(seconds=1, microseconds=647095)]

Phi time: [datetime.timedelta(seconds=4, microseconds=258664), datetime.timedelta(seconds=4, microseconds=148082), datetime.timedelta(seconds=4, microseconds=196651), datetime.timedelta(seconds=4, microseconds=149381), datetime.timedelta(seconds=4, microseconds=154579), datetime.timedelta(seconds=4, microseconds=176717), datetime.timedelta(seconds=4, microseconds=152020), datetime.timedelta(seconds=4, microseconds=178951), datetime.timedelta(seconds=4, microseconds=169349), datetime.timedelta(seconds=4, microseconds=173464)]

