Tensorflow Amd Cpu Support CentOS 9 Installation

GNU/Linux CentOS 9 Amd Tensorflow Deep Learning – QuickStart Guide

Hi! This tutorial will guide you step-by-step on How to Install AMD CPU Tensorflow Deep Learning Software in CentOS 9 Stream GNU/Linux Desktop.

The ZenDNN Library includes the APIs for Basic Neural Network Building Blocks optimized for AMD CPU architecture.

And so enables Deep Learning application and Framework Developers to improve Deep Learning inference Performance on AMD CPUs.

Moreover, this guide includes detailed instructions about to Getting-Started with TensorFlow Deep Learning on CentOS.

Finally, this Setup is Valid also for All the others Red Hat Linux Based Distros like:

• Red Hat Enterprise Linux
• Oracle Enterprise Linux
• Rocky Linux
• AlmaLinux

1. 1. Installing Anaconda

   How to Install Anaconda Python on CentOS:

   Anaconda Python Setup CentOS

   Linked Guide for Installing Anaconda Python on CentOS GNU/Linux

2. 2. Making Python Virtual Env

   First, Make Anaconda Python Virtual Environment
   This to house the ZenDNN Installations.
   To Create it:

   conda create -n tf-v2.10-zendnn-v4.0-rel-env python=3.10

   And then again to Activate it:

   conda activate tf-v2.10-zendnn-v4.0-rel-env

   To load the Packages from the Repo we have use the right Naming Convention “tf-v2.10-zendnn-v4.0-rel-env”. And the supported last Python Version, currently “3.10”.
   So in case that a New Version is available you need to Amend the Commands consequently.