Created
April 23, 2023 04:13
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5 Steps to Install PyTorch 2.0 and Tensorflow 2.12 on Ubuntu 22.04 with CUDA and cuDNN
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Step1: | |
sudo apt update | |
sudo apt install build-essential | |
sudo apt-get install manpages-dev | |
sudo apt install gcc | |
Step2: | |
sudo sh cuda_11.8.0_520.61.05_linux.run | |
nano ~/.bashrc | |
export PATH=/usr/local/cuda-11.8/bin${PATH:+:${PATH}}$ | |
export LD_LIBRARY_PATH=/usr/local/cuda-11.8/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} | |
Step3: | |
tar -xvf cudnn-linux-x86_64-8.6.0.163_cuda11-archive.tar.xz | |
sudo cp cudnn-*-archive/include/cudnn*.h /usr/local/cuda-11.8/include | |
sudo cp -P cudnn-*-archive/lib/libcudnn* /usr/local/cuda-11.8/lib64 | |
sudo chmod a+r /usr/local/cuda-11.8/include/cudnn*.h /usr/local/cuda-11.8/lib64/libcudnn* | |
Step4: | |
sudo apt install python3.10-venv | |
python3 -m venv venv | |
source venv/bin/activate | |
pip install --upgrade pip | |
pip install -U setuptools wheel | |
Step5: | |
nvcc --version | |
pip install tensorflow==2.12.0 | |
pip install torch torchvision torchaudio | |
print("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU'))) |
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