- Where I found the resolution
- TF 2.16.1 Fails to work with GPUs
- Solution proposed by "sh-shahrokhi", improved by "ChristofKaufmann"
- See specially Comment by COntributor
- Related Issues
- GPU not detected on WSL2, where I have post some comments
- Tensorflow WSL GPU CUDA recognition issue RTX3090
- TF 2.16.1 Fails to work with GPUs
- Once gain: tf.2.16.1 fails to recognize GPUs
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sudo apt-get upgrade -y | |
sudo apt-get update -y | |
sudo apt-get install gcc g++ make cmake htop iotop tree dkms wget git zip unzip -y | |
# Installing Alpa (https://alpa-projects.github.io/install.html) | |
# CUDA 11.4 and cuDNN 8.2.0 required | |
sudo dnf install gcc gcc-c++ make -y | |
sudo dnf install wget git zip unzip -y | |
# https://linuxconfig.org/error-unable-to-find-the-kernel-source-tree-for-the-currently-running-kernel-centos-rhel |
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#!/bin/bash | |
# Succint & Verbose inputs to this script are | |
# ./work.sh | |
# ./work.sh -f true -e py3 -g j -d NSP -p 8008 | |
# ./work.sh -f true -e py3 -g e -d . -p 8888 | |
# Allowing script to detect conda at .bashrc | |
eval "$(conda shell.bash hook)" |
- Mathematics (Class 11 & 12) - NCERT Relevant Chapters
- Class 11 - Ch 1. Sets
- Class 11 - Ch 2. Relations and Functions
- Class 12 - Ch 1. Relations and Functions
- Class 11 - Ch 6. Permutations and Combinations