Using TF 1.15 with CUDA 10.0 on RHEL 8.3 is not easy. If you upgrade the driver the TensorFlow setup with CUDA may stop working. Setup RHEL - 8.3.1 with Nvidia drivers for TensorFlow-2.x and TensorFlow 1.15.x.
These steps work for RHEL-8.3.1
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/ zsh-syntax-highlighting paste performance improvement
Created
September 9, 2020 02:52
— forked from magicdude4eva/zsh-syntax-highlighting paste performance improvement
zsh-syntax-highlighting paste performance improvement
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| Add the following in .zshrc: | |
| ... | |
| plugins=(osx git zsh-autosuggestions zsh-syntax-highlighting zsh-nvm docker kubectl) | |
| ... | |
| ### Fix slowness of pastes with zsh-syntax-highlighting.zsh | |
| pasteinit() { | |
| OLD_SELF_INSERT=${${(s.:.)widgets[self-insert]}[2,3]} | |
| zle -N self-insert url-quote-magic # I wonder if you'd need `.url-quote-magic`? |
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/ cuda_10_rhel_8.md
Last active
June 17, 2021 21:05
Using TF 1.15 with CUDA 10.0 on RHEL 8.3
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