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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)
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. Environment Variables
and my env variables is below
6. Cmake configuration
my configuation is below
you have to set some paths and disable/enable some options.
please refer from the screen shots below.
7. 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
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"
8. Test your build!
The text was updated successfully, but these errors were encountered:
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)
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
this branch handle several issues( #14116, #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. Environment Variables
and my env variables is below
6. Cmake configuration
my configuation is below
you have to set some paths and disable/enable some options.
please refer from the screen shots below.
7. 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
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.
8. Test your build!
The text was updated successfully, but these errors were encountered: