Re: [theano-users] Could not initialize pygpu error with CUDA 9.0 and latest Theano

creating 2 env seem the right thing to do. I do not think dnn.libary_path override LD_LIBRARY_PATH. On Thu, May 10, 2018 at 7:06 PM Michael Klachko wrote: > What is the best way to do that? Should I use separate conda environments > for theano and tensorflow, and

Re: [theano-users] Could not initialize pygpu error with CUDA 9.0 and latest Theano

What is the best way to do that? Should I use separate conda environments for theano and tensorflow, and create LD_LIBRARY_PATH in each? Does dnn.libary_path in theanorc override LD_LIBRARY_PATH? On Thursday, May 10, 2018 at 3:09:29 PM UTC-7, nouiz wrote: > > You could have multiple cuda

Re: [theano-users] Could not initialize pygpu error with CUDA 9.0 and latest Theano

You could have multiple cuda version installed to have TF working. Le jeu. 10 mai 2018 16:28, Michael Klachko a écrit : > After struggling with this error for a day, I decided to upgrade CUDA to > 9.1 and CuDNN to 7.1. After that I got "your driver might be too old" >

Re: [theano-users] Could not initialize pygpu error with CUDA 9.0 and latest Theano

This is a new one. It is also very weird since gemm doesn't involve cuLinkAddData. This may be an error message from something else. First things first, since you are on cuda 9.0, I would recommend that you update your driver to 384.111 or 390.*. If that doesn't help, then I'll need some