[GitHub] [incubator-mxnet] visionNoob opened a new issue #15632: Building MxNet with CPP_PACKAGE on Windows10 (2019-07-23)

[GitBox <gi...@apache.org>]

visionNoob opened a new issue #15632: Building MxNet with CPP_PACKAGE on Windows10 (2019-07-23)
URL: https://github.com/apache/incubator-mxnet/issues/15632
 
 
   This document gives a information about Building MxNet with CPP_PACKAGE on Windows10.
   If you think it is inappropriate, please close the issue.
   ---
   Hello. I'm visionNoob. 
   I think many people are struggling with building MxNet on win10, including me. 
   Finally, I (partially) succeed in building MxNet on win10.
   
   ### Environment
   Windows 10 Education
   Visual Studio 2015
   python 3.6(7.5.0)
   Nvidia CUDA 9.0(V9.0.176)
   Intel® MKL 2019(V2019.4.245)
   OpenCV 4.1.0([released in 2019-04-08](https://opencv.org/releases/)) 
   
   ### contents 
   ## 1. MxNet : https://github.com/Vigilans/incubator-mxnet/tree/patch-1 (not merged yet) 
   I cloned MxNet source from https://github.com/Vigilans/incubator-mxnet/tree/patch-1
   see PR [#15144](https://github.com/apache/incubator-mxnet/pull/15144)
   this branch handle several issues( [#14116](https://github.com/apache/incubator-mxnet/issues/14116), [#15143](https://github.com/apache/incubator-mxnet/issues/15143) that make failure in generated op.h.) 
   
   ## 2. Visual Studio 2015(vc14)
   I think CUDA Visual Studio Integration is also needed for stable building for cuda.
   And update 3 also needed. 
   
   ## 3. OpenCV
   I use "OpenCV 4.1.0 official release version" not build from source. I tried to use OpenCV that builds myself with extra-modules but with this, fail to build mxnet. I don't know why. 
   
   ## 4. Cmake version
   I use latest version of Cmake, 3.15.0. it's fine. 
   
   ## 5. Cmake configuration 
   my configuation is below 
   
   you have to set some paths and disable/enable some options. 
   please refer from the screen shots below. 
   ![1](https://user-images.githubusercontent.com/15168540/61681618-2d8ddb00-ad49-11e9-88d0-a066c0515e09.png)
   ![2](https://user-images.githubusercontent.com/15168540/61681619-2f579e80-ad49-11e9-9b43-762134d2393d.png)
   ![3](https://user-images.githubusercontent.com/15168540/61681624-3088cb80-ad49-11e9-9b99-d0e0cee8a84c.png)
   ![4](https://user-images.githubusercontent.com/15168540/61681625-32528f00-ad49-11e9-9876-cdc8ef85f3e7.png)
   ![5](https://user-images.githubusercontent.com/15168540/61681627-341c5280-ad49-11e9-869d-41902a55f117.png)
   ![6](https://user-images.githubusercontent.com/15168540/61681631-367eac80-ad49-11e9-9cd2-d68e9abab06d.png)
   
   ## 6. In my case, I generated "op.h" manually . 
   it's very simple 
   `OpWrapperGenerator.py` generate "op.h" in "...\incubator-mxnet\cpp-package\include\mxnet-cpp\op.h"
   The location of OpWrapperGenerator.py is 
   ...\incubator-mxnet\cpp-package\scripts\OpWrapperGenerator.py
   
   go to the directory and 
   ```
   python OpWrapperGenerator.py "\your\build\Release\libmxnet.dll"
   ```
   then "op.h" is generated in  "...\incubator-mxnet\cpp-package\include\mxnet-cpp\op.h" 
   
   If you see this sentences(below) during generation, You fail to generate  "op.h". 
   I say it again. I downloaded mxnet source from here(https://github.com/Vigilans/incubator-mxnet/tree/patch-1). and it maybe solve your problems. 
   
   ```
   1>argument "lrs" of operator "multi_sgd_update" has unknown type ", required"
   1>argument "wds" of operator "multi_sgd_update" has unknown type ", required"
   1>argument "lrs" of operator "multi_sgd_mom_update" has unknown type ", required"
   1>argument "wds" of operator "multi_sgd_mom_update" has unknown type ", required"
   1>argument "lrs" of operator "multi_mp_sgd_update" has unknown type ", required"
   1>argument "wds" of operator "multi_mp_sgd_update" has unknown type ", required"
   1>argument "lrs" of operator "multi_mp_sgd_mom_update" has unknown type ", required"
   1>argument "wds" of operator "multi_mp_sgd_mom_update" has unknown type ", required"
   ```
   ## 7. Test your build! 

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