stereomatchingkiss commented on issue #14343: Cannot generate op.h when build with mkl URL: https://github.com/apache/incubator-mxnet/issues/14343#issuecomment-470584244 > If you use opencv to read the image, you might need the release folder of opencv in your PATH. Yes, I already put them into PATH. My solution is create a global_dll folder and add it into my PATH, this way I could switch different dll easier without adding too many PATH. Add so many PATH could cause some nasty troubles. >I did not attempt to use MKL_DNN or MKLML I did not use MKLML either, because the CMake file of mshadow will forced to use openBLAS > I will look at the notes I made for CUDA/MKL. Thanks > getting it compiled and running on Windows/CPP_Package is a real struggle. Sparsely/flaky documented, often new build errors. Know your pain, guess I should give 1.3.0 a try. If things are like this since two years ago, that means windows/CPP_Package is not their major concern. 1.3.1 can't build with openBLAS(maybe it is because I update vc2015) and got runtime issues of cpu version. 1.4.0 can't compile on windows, many bugs. > With python everything is fine. mxnet installed by pip works well on my pc too, api of gluoncv and mxnet are well designed, but python is not the right tool when I want to deploy my app, I need c++ for this kind of issues, unless most of my customers ask me to make the app able to run on windows, windows still dominate 90% of desktop market. dnn module of opencv4 planning to support cuda and cudnn, hope it can success so we could have a tool easier to build and use.
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