![]() bash_profile # install Python $ pyenv install 3.6.0 # create virtualenv $ pyenv virtualenv 3.6.0 tensorflow-gpu $ pyenv activate tensorflow-gpu Python dependenciesĭo not install bazel with Homebrew $ mkdir ~/temp & cd ~/temp $ curl -L -o bazel-0.8.1-installer-darwin-x86_64.sh $ chmod +x bazel-0.8.1-installer-darwin-x86_64.sh $. $ brew update $ brew install pyenv pyenv-virtualenv # add the next block to bottom of `.bash_profile` if command -v pyenv 1>/dev/null 2>&1 then eval “$(pyenv init -)” eval “$(pyenv virtualenv-init -)” fi $ source. On top of that, I will use pyenv-virtualenv to create a virtual environment for the custom build. I recommend using pyenv for installing Python. If not also available, this installation process will also install the latest Apple Command-Line-Tools $ /usr/bin/ruby -e "$(curl -fsSL )" Python 3.6 Boot again an check if the GPU is available within the System-Profiler. MacOS High Sierra Version 10.13.3 (17D47) nvidia-egpu-v7.zipĭid the Mac boot gracefully? Great! Now it is time to shut down your Mac and attach your eGPU enclosure. MacOS High Sierra Version 10.13.3 (17D102) nvidia-egpu-v7.zip So again, depending on your macOS build version, you will need to pick the correct file and install it. Here you can boot into recovery mode and delete the following file /Library/Extensions/NVDAEGPUSupport.kext
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June 2023
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