As you can see in https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ , pretty much every package have both 10.0 and 10.1 version besides cublas, and this is causing libraries like OpenCV to fail to compile. Can we get a 10.1 version of cublas as well?

How to compile current Tensorflow with Cuda 10.1 then? ➜ ➜ tensorflow git:(master) bazel build --config=opt --config=cuda //tensorflow/tools/pip_package:build_pip_package Starting local Bazel server and connecting to it... WARNING: The following configs were expanded more than once: [cuda]. For r…

any updates here? I have the same problemm as well

From your output Cuda Configuration Error: No library found under: /usr/local/cuda-10.1/lib64/libcublas.so.10.1 ... So tensorflow is looking for libcublas in /usr/local/cuda-10.1 but it appears that since cuda-10.1 libcublas has been moved outside of /usr/local/cuda and results in a lot of confusi…

I’m also trying to compile TF with CUDA 10.1. After creating that symlink, I got this error : Cuda Configuration Error: None of the libraries match their SONAME: /usr/local/cuda-10.1/lib64/libcublas.so.10.1

TF apparently doesn’t support cuda-10.1 (so either wait for TF12 or back to cuda-10.0 or install a local instance of cuda-10.0). Though your error is kind of intriguing. Check your file system to see if you actually created the symlink and if you did whether it is broken (in terminal cd /usr/local/c…

I have installed cuda-10.1 with the .run file in my $HOME just to check it out. cuda-10.1 has made some changes to the places where libs are installed and the way they are named thus making a mess of people’s systems left and right. First libcublas files by default are no longer in cuda_root/lib64 …

Moreover, for 32 bit support the documentation points out to a need to export path as: export LD_LIBRARY_PATH=/usr/local/cuda-10.1/lib\ ${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

export LD_LIBRARY_PATH=/usr/local/cuda-10.1/lib\ No, that you have to do for either 64 or 32 bit OS for system to find cuda I am talking about lib32 support for 64 bit system and it has nothing to do with where your cuda toolkit is, it has to do with the driver installed from Nvidia’s cuda-driver …

Same problem. I installed cuda 10.1 for the runfile but libcublas.10.1 was not installed: sudo find /usr/local/cuda/ -name ‘blas’ /usr/local/cuda/targets/x86_64-linux/include/cublas.h /usr/local/cuda/targets/x86_64-linux/include/cublas_v2.h /usr/local/cuda/targets/x86_64-linux/include/cublas_api…

The second posting in this thread (above) explains what has happened. On my system, using a CUDA 10.1 runfile install, the libcublas libraries are in /usr/lib64 try sudo find /usr -name libcublas*

cublas for 10.1 is missing

Accelerated Computing CUDA CUDA Setup and Installation

andymichel September 12, 2020, 10:32pm 20

Life saver!!

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cublas for 10.1 is missing

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