beew edited a comment on issue #18879: URL: https://github.com/apache/incubator-mxnet/issues/18879#issuecomment-675014980
@anko-intel Hi, 1.I am sticking to MKL 2018.2.199 because of this issue https://forums.developer.nvidia.com/t/nvblas-numpy-intelmkl-2018-3-not-work/66090 Not sure if there is any solution at the moment. 2. Nvidia-smi doesn't tell you which cuda is actually used, rather what is the highest cuda version the driver supports (in this case it is 10.1) Since the change from Cuda 10 to Cuda 10.1 breaks a lot of things because it changes the names of the lib files and the folder structures. https://github.com/tensorflow/tensorflow/issues/26289 I would have to compile a lot of stuffs from scratch and test them, it will takes me several days if not weeks considering that it takes 3 hours just to compile tensorflow and probably run into other compatibility issues along the way, I don't think it is feasible for me right now, I would wait til next year to upgrade the OS to 20.04. At the moment using mxnet with openblas works for me. Thanks for the help. ---------------------------------------------------------------- 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: [email protected]
