MyraBaba commented on issue #12869: Python trained model gives different features set in C++ URL: https://github.com/apache/incubator-mxnet/issues/12869#issuecomment-451245671 @leleamol Hi, I am back to project and able to compile with Cmake ypur inception_inference.cpp with above mentioned models. Can you direct me to where is the output of float vector of 512 variable ? can I get this 512 float vector features with this .cpp ? If so I couldnt find it with debugging. Could you possibly let me know? Best > With my test program I was able to get the output of float vector of 512. Without using sklearn.preprocessing.normalize on that output (similar to what was done in the test python script), the maximum accuracy was reported to be 2.7216 at index 84. The rest of the entries in 512D vector were 0.03412. ( I have used the same image as that of test.py) > > I did not normalize the image before running forward pass. > If this helps, I can share the code of my example.
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