I am using ubuntu 22 LTS. I want to use a different version of Cuda in the conda virtual environment. I want to use a virtual conda environment for tensorflow 1.x and another conda env for tensorflow 2.x and one environment for PyTorch. I add the version of Cuda when I created the environment. My problem is that instead of using the Cuda that is installed in the conda env (ie. conda create -n tf1 cudnn=7.6.5 cudatoolkit=10.1.243), it uses the system cuda. when I type the
nvcc --version
the output is:
nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA Corporation Built on Tue_May__3_18:49:52_PDT_2022 Cuda compilation tools, release 11.7, V11.7.64 Build cuda_11.7.r11.7/compiler.31294372_0
how can I set the path to use the specific Cuda version installed in the environment and not the system?
You can set the CUDA_HOME environment variable with this command.
conda env config vars set CUDA_HOME=""
You should be able to use this command to find the path of your conda-installed CUDA library.
sudo find / -name nvcc
You might also want to look at this documentation to have environment variables set as part of the activation step.