Precision: [tensor(0.5999, device='cuda:0'), tensor(0.6025, device='cuda:0'), tensor(0.5897, device='cuda:0'), tensor(0.6146, device='cuda:0'), tensor(0.5946, device='cuda:0'), tensor(0.5949, device='cuda:0'), tensor(0.6004, device='cuda:0'), tensor(0.5954, device='cuda:0'), tensor(0.5910, device='cuda:0'), tensor(0.5915, device='cuda:0')]

Output distance: [tensor(5.1063, device='cuda:0'), tensor(5.1011, device='cuda:0'), tensor(5.1268, device='cuda:0'), tensor(5.0769, device='cuda:0'), tensor(5.1168, device='cuda:0'), tensor(5.1163, device='cuda:0'), tensor(5.1053, device='cuda:0'), tensor(5.1153, device='cuda:0'), tensor(5.1242, device='cuda:0'), tensor(5.1231, device='cuda:0')]

Prediction loss: [tensor(21257128., device='cuda:0'), tensor(19977820., device='cuda:0'), tensor(19239920., device='cuda:0'), tensor(24721038., device='cuda:0'), tensor(20388166., device='cuda:0'), tensor(16178498., device='cuda:0'), tensor(18656830., device='cuda:0'), tensor(16991414., device='cuda:0'), tensor(18526918., device='cuda:0'), tensor(22334350., 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(microseconds=967898), datetime.timedelta(microseconds=949973), datetime.timedelta(microseconds=959931), datetime.timedelta(microseconds=936034), datetime.timedelta(microseconds=955948), datetime.timedelta(microseconds=978850), datetime.timedelta(microseconds=938024), datetime.timedelta(microseconds=933045), datetime.timedelta(microseconds=946986), datetime.timedelta(microseconds=939018)]

Phi time: [datetime.timedelta(microseconds=441129), datetime.timedelta(microseconds=226041), datetime.timedelta(microseconds=243965), datetime.timedelta(microseconds=232017), datetime.timedelta(microseconds=222057), datetime.timedelta(microseconds=232016), datetime.timedelta(microseconds=229028), datetime.timedelta(microseconds=231020), datetime.timedelta(microseconds=253924), datetime.timedelta(microseconds=222057)]

