Precision: [tensor(0.4427, device='cuda:0'), tensor(0.4494, device='cuda:0'), tensor(0.4364, device='cuda:0'), tensor(0.4235, device='cuda:0'), tensor(0.4324, device='cuda:0'), tensor(0.4557, device='cuda:0'), tensor(0.4392, device='cuda:0'), tensor(0.4569, device='cuda:0'), tensor(0.4326, device='cuda:0'), tensor(0.4457, device='cuda:0')]

Output distance: [tensor(19.1400, device='cuda:0'), tensor(19.1267, device='cuda:0'), tensor(19.1527, device='cuda:0'), tensor(19.1784, device='cuda:0'), tensor(19.1605, device='cuda:0'), tensor(19.1140, device='cuda:0'), tensor(19.1469, device='cuda:0'), tensor(19.1115, device='cuda:0'), tensor(19.1602, device='cuda:0'), tensor(19.1339, device='cuda:0')]

Prediction loss: [tensor(109.0466, device='cuda:0'), tensor(109.1046, device='cuda:0'), tensor(108.3491, device='cuda:0'), tensor(107.9194, device='cuda:0'), tensor(107.4935, device='cuda:0'), tensor(109.0695, device='cuda:0'), tensor(108.4356, device='cuda:0'), tensor(108.0456, device='cuda:0'), tensor(108.9357, device='cuda:0'), tensor(108.1814, 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=607844), datetime.timedelta(seconds=1, microseconds=600681), datetime.timedelta(seconds=1, microseconds=649997), datetime.timedelta(seconds=1, microseconds=610658), datetime.timedelta(seconds=1, microseconds=616059), datetime.timedelta(seconds=1, microseconds=620139), datetime.timedelta(seconds=1, microseconds=600903), datetime.timedelta(seconds=1, microseconds=603150), datetime.timedelta(seconds=1, microseconds=617150), datetime.timedelta(seconds=1, microseconds=603026)]

Phi time: [datetime.timedelta(seconds=4, microseconds=356318), datetime.timedelta(seconds=4, microseconds=223744), datetime.timedelta(seconds=4, microseconds=244832), datetime.timedelta(seconds=4, microseconds=270340), datetime.timedelta(seconds=4, microseconds=249955), datetime.timedelta(seconds=4, microseconds=255808), datetime.timedelta(seconds=4, microseconds=272734), datetime.timedelta(seconds=4, microseconds=272891), datetime.timedelta(seconds=4, microseconds=297797), datetime.timedelta(seconds=4, microseconds=311164)]

