The Movidius' model output value is strange (output value is all the same).

[idata]

Hello,

I transfered my caffe model to Movidius' model, and encountered strange problems that the output value is the same on any image.I use the mvNCCheck to debug, discover the value became the same after bn_conv1 layer.Here is the mvNCCheck Result: https://drive.google.com/open?id=1jM6k3ki8ZI9MRi88bCYkpvvRN74NDjwWf669LvWku_I

$ mvNCCheck -w run1_iter_38880.caffemodel deploy.prototxt -s 12 -on bn_conv1

Result: (32, 336, 336)1) 3612671 0.02) 1204219 0.03) 1204230 0.04) 1204229 0.05) 1204228 0.0Expected: (32, 336, 336)1) 1655946 -0.362792) 2072916 -0.363043) 2085841 -0.365234) 2117228 -0.36675) 2066852 -0.36743

Where's wrong and why?

Here is my caffemodel and part of deploy.protxt. https://drive.google.com/drive/folders/1Dtvo4lvTONTIrWkrrwiGtTw7v1yO4qu9

Please assist me, thank you.

[idata]

@miily I'll take a look at it and see what I can find. It is strange that the Caffe results are also showing the similar probabilities across the top 5 results (negative results at that). The class numbers are pretty large, just wondering what kind of network this is. Thanks.