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September 25, 2020 18:17
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Shell script to setup NVIDIA GPU acceleration on TensorFlow with Ubuntu 18.04 and CUDA 10.1
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# Shell script to setup GPU acceleration for TensorFlow on Ubuntu 18.04 | |
# Tested on a default Ubuntu 18.04 VM image in Google Compute | |
# Install CUDA | |
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin | |
sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600 | |
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub | |
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /" | |
sudo apt-get update | |
sudo apt-get -y install cuda | |
# Add NVIDIA package repositories | |
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.1.243-1_amd64.deb | |
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub | |
sudo dpkg -i cuda-repo-ubuntu1804_10.1.243-1_amd64.deb | |
sudo apt-get update | |
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb | |
sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb | |
sudo apt-get update | |
# Install NVIDIA driver | |
sudo apt-get install --no-install-recommends nvidia-driver-450 | |
# Reboot. Check that GPUs are visible using the command: nvidia-smi | |
# Install development and runtime libraries (~4GB) | |
sudo apt-get install --no-install-recommends \ | |
cuda-10-1 \ | |
libcudnn7=7.6.5.32-1+cuda10.1 \ | |
libcudnn7-dev=7.6.5.32-1+cuda10.1 | |
# Install TensorRT. Requires that libcudnn7 is installed above. | |
sudo apt-get install -y --no-install-recommends libnvinfer6=6.0.1-1+cuda10.1 \ | |
libnvinfer-dev=6.0.1-1+cuda10.1 \ | |
libnvinfer-plugin6=6.0.1-1+cuda10.1 |
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