Runtime dependency issue on CUDA 10.0

[sleebapaul]

Did anyone try to reproduce the code in Azure ML Pipeline? It has a default Conda environment with CUDA 10.0 version.

On research, I found that,

• pynvrtc library doesn't even have an update on CUDA latest version. So mostly, I can't migrate the code to the latest version of CUDA even if I modify the header files in smooth_filter.py.

And why there is a tight coupling between CUDA 9.1 and the code? Any help is greatly appreciated.

[Adlinga]

To solve this try
0) check your CUDA paths in the system enviroment

1. In smooth_filter.py:
   Change path in line 6 to your CUDA directory. For me it was
   #include "C:/NVIDIA/CUDA/10/include/math_functions.h"
2. In smooth_filter.py:
   Change line 336 to ptx = program.compile()
3. In your Anaconda or python path find ...\Lib\site-packages\pynvrtc and there interface.py.
   In interface.py:
   Change line 96 to def_lib_name = 'nvrtc64_100_0.dll'
4. Enjoy!

[jverygood]

If you are using CUDA10.0 under Ubuntu, you should also modify the
export LD_LIBRARY_PATH=${ANACONDA}/lib:${CUDA_PATH}/bin64:$LD_LIBRARY_PATH
to
export LD_LIBRARY_PATH=${ANACONDA}/lib:${CUDA_PATH}/lib64 :$LD_LIBRARY_PATH