alinagithub commented on issue #17887: URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-650764986
Hi Xenos24R, No, not really found a perfect solution. I use a virtual env, so I implemented a little .bat script and I basically copy the DLL to Python packages dir: ``` :begin @echo off @echo copy cuda libs call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cublas64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet" call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\curand64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet" call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cufft64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet" call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cusolver64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet" call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\nvrtc64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet" @echo activate python env call C:\.env38\Scripts\activate.bat ``` Not ideal, but functional! AL ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
