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text: imagenet 1000 class idx to human readable labels (Fox, E., & Guestrin, C. (n.d.). Coursera Machine Learning Specialization.)
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These are the steps I took for the installation of the NVIDIA drivers and CUDA toolkit for use with TensorFlow on Fedora 35. I have documented them since I had a lot of difficulty getting it to work and couldn't boot to a graphical desktop a few times. These steps worked for me, hopefully they do for others.
Assumptions
I am running on a 64 bit system and used KDE Plasma with X11 so these instructions may differ for people using GNOME, Wayland and any other combinations.
Pre-requisites
If you have installed any NVIDIA drivers other than the akmod-nvidia drivers from the @rpmfusion-nonfree repo, remove them completely.
Remove any other NVIDIA/CUDA installations. Find them with sudo dnf list installed | egrep '(nvidia|cuda)'
If the nvidia-driver module is enabled, disable it - sudo dnf module disable nvidia-driver - this caused me issues when trying to install the akmod drivers
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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