Hi, It seems that there are multiple versions of cudann loaded at runtime. You can check which modules are loaded from the terminal by typing:
module list You should see that there are multiple cudann modules loaded and theano is seeing all of them, that's why you get the "cuDNN Mixed dnn version" message. You could unload a version by typing: module unload "your particular cudann module" Unload all until you are left with one, but be careful too test it again so that your theano version is compatible with the cudann version you are loading. Jose On Monday, February 13, 2017 at 8:30:03 AM UTC-5, [email protected] wrote: > > Hi, > I have multiple version of cudnn in my CUDA_ROOT folder, and I want to > compile theano with certain one. How can I do that? Currently, I have the > following error "Tesla K80 (CNMeM is enabled with initial size: 95.0% of > memory, cuDNN Mixed dnn version. The header is from one version, but we > link with a different version (5105, 4007))" It seems that I compile theano > with an older version of cudnn. > > Thanks. > -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
