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I have tried several caffe models on NCS.Two of them can run correctly.However one of the models' output is unnormalized.The C logs printed followings:
cd cpp; ./run_cpp; cd ..
Successfully opened NCS device!
Successfully allocated graph for ../graph
w= 96 ,h= 112
Successfully loaded the tensor for image ../../../data/images/044.jpg
Successfully got the inference result for image ../../../data/images/044.jpg
resultData is 21080 bytes which is 10540 16-bit floats.
Index of top result is: -1
Probability of top result is: 0.000000
All my 10540 categories' probabilities are all "nan" so that the index of top result is -1 with 0.00000 probability.
The models have 90 layers with softmax output.And image resolution is 96*112.I have done scaling(1/128) when training.And I use one NCS to run the model.
I am wondering about that why the NCS's output is "nan"?
Can someone give me some suggestions?Thanks a lot!