TensorFlow is Google's open-source platform for machine learning designed to simplify the process of implementing machine-learning models.
Researchers, data scientists, and developers use this end-to-end library for numerical computation. TensorFlow runs on multiple CPUs, GPU, as well as mobile operating systems.
It can be installed system-wide, in a Python virtual environment, as a Docker container, or with Anaconda. Also, large companies like Airbus, Intel, Twitter, PayPal, and Lenovo using TensorFlow.
Here at Fixwebnode , as part of our Server Support Services , we regularly help our Customers to perform related Python Packages queries.
In this context, we shall look into how to install TensorFlow in a Python virtual environment on CentOS 8.
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Steps to Install TensorFlow on CentOS
You need to Perform the following steps to install TensorFlow on CentOS.
1. Perform System Update
First, let's start by ensuring your system is up-to-date:
$ sudo dnf update
2. Install Python 3 and venv
By default Python is not installed on CentOS 8 system. Run the following command to install Python 3 on CentOS 8 machine:
$ sudo dnf install python3
It will install Python 3 and pip. To run Python 3, you need to type python3 explicitly, and to run pip type pip3.
The recommended way to create a virtual environment is to use the venv module.
3. Create Virtual Environment
Here, you have to navigate to the directory where you would like to store your Python 3 virtual environments. Make sure the user has read and write permissions of that directory.
Create a new directory for the TensorFlow project and cd into it:
$ mkdir tensorflow_demo
$ cd tensorflow_demo
To create the virtual environment, run the following command:
$ python3 -m venv venv
The above command will create a directory named venv and it contains a clone of the Python binary, the standard Python library, and other supporting files, the Pip package manager.
To activate it run the activate script:
$ source venv/bin/activate
Once activated, the virtual environment’s bin directory will be added at the beginning of the system $PATH variable . Also, the shell’s prompt will change, and it will show the name of the virtual environment you’re currently in. In this example, that is (venv).
The pip version 19 or higher is required for TensorFlow installation. To upgrade pip to the latest version run the following command:
$ pip install --upgrade pip
4. Install TensorFlow on the system
Here, the virtual environment is activate and we can install the TensorFlow package:
$ pip install --upgrade tensorflow
How to confirm TensorFlow Installation ?
You can Verify the installation by running the below command:
$ python -c 'import tensorflow as tf; print(tf.__version__)'
This will display the version of TensorFlow installed on the system.