-
Check status from terminal:
nvidia-smi. -
Skip this step if you have the following output:
+-----------------------------------------------------------------------------+
PeterPirog
PeterPirog
/ LinuxCUDAtoolkits.md
Created
December 3, 2022 17:39
— forked from khansun/LinuxCUDAtoolkits.md
Multiple versions of CUDA toolkit and CUDNN installation guide for Linux and WSL2
PeterPirog
/ building_tensorflow.md
Created
June 4, 2021 05:19
— forked from kmhofmann/building_tensorflow.md
Building TensorFlow from source
The official instructions on installing TensorFlow are here: https://www.tensorflow.org/install. If you want to install TensorFlow just using pip, you are running a supported Ubuntu LTS distribution, and you're happy to install the respective tested CUDA versions (which often are outdated), by all means go ahead. A good alternative may be to run a Docker image.
I am usually unhappy with installing what in effect are pre-built binaries. These binaries are often not compatible with the Ubuntu version I am running, the CUDA version that I have installed, and so on. Furthermore, they may be slower than binaries optimized for the target architecture, since certain instructions are not being used (e.g. AVX2, FMA).
So installing TensorFlow from source becomes a necessity. The official instructions on building TensorFlow from source are here: ht
PeterPirog
/ Ray_ARM64.md
Created
February 1, 2021 22:25
— forked from abishekmuthian/Ray_ARM64.md
Build and Install Ray on ARM (aarch64)
Only dependencies which aren't highly likely to be featured in a ARM development environment are featured here, Obvious dependencies such as Python3, Python2, pip, wheel, GCC etc. aren't covered here.
Note : Use bazel 1.x.x for Ray as 2.x.x is not supported.
sudo apt-get install build-essential openjdk-8-jdk unzip
export JAVA_HOME="/usr/bin/java"
wget https://github.com/bazelbuild/bazel/releases/download/1.0.0/bazel-1.0.0-dist.zip
unzip bazel-1.0.0-dist.zip