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How To Check TensorFlow Version | phoenixNAP KB

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Introduction

TensorFlow is one of the most prominent machine learning packages. Knowing which version is on the system is vital as different builds have different options. There are several ways to check the version of TensorFlow depending on the installation method.

This article shows you how to check your TensorFlow version in six different ways.

prerequisites

Installed Python 2 or Python

  • 3 Installed

    • TensorFlow

  • installed (Try our guides: How to install TensorFlow on CentOS, How to install TensorFlow GPU on Ubuntu).
  • CLI

or IDE Access

Check

the version of TensorFlow in Python

The easiest way to check the version of TensorFlow is through a Python IDE or code editor. The library has built-in methods for displaying basic information.

To print the TensorFlow version in Python, enter: Import TensorFlow as TF Print(tf.__version__) TensorFlow

Latest versions

TensorFlow

2.x releases provide a method for printing the

TensorFlow version.

To check which one is on your system, use:

Import tensorFlow as tf print(tf.version.VERSION)

Previous versions

of TensorFlow TensorFlow 1.x has a slightly different method for checking the library version. Print the version for previous builds of TensorFlow in Python by running:

import tensorflow as tf print(tf. VERSION) Check the TensorFlow version in the CLI Show the

TensorFlow version

through Python invocation in the CLI with the python command. Using the -c option executes code.

If your machine has multiple instances of Python installed, use the python<version> command.

Check

the version of TensorFlow in the Linux terminal

Print the version of TensorFlow in the terminal by running:

python -c ‘import tensorflow as tf; print(tf.__version__)’

If there are multiple instances of Python on the system, use:

python<version> -c ‘import tensorflow as tf; print(tf.__version__)’

For example

: Check the version of TensorFlow on the Windows command line Display the

version of TensorFlow on

the command line by running:

python -c “import tensorflow as tf; print(tf.__version__)”

Check with a specific Python version by adding the version number to the python command: python<version

> -c “import tensorflow as tf; print(tf.__version__)”

Check TensorFlow version in Pip

The most common way to install Python libraries is to use the pip package manager. There are two ways to print the pip version.

Method 1: Using pip show The pip show command

prints information for any installed packages

.

To display TensorFlow data, run this command

: pip show tensorflow

Method 2: Using

pip list The pip list

command displays all packages installed using pip install. On Linux, use the grep command to filter the results:

pip list | grep tensorflow

For Windows, use findstr to filter pip list results: pip list

| findstr “tensorflow” Check the version of TensorFlow

in

the virtual environment

The TensorFlow documentation recommends installing the platform through a virtual environment. Activate the virtual environment before checking the version.

Step

1: Activate

the virtual environment To activate the virtual environment, use the appropriate command

for your operating system

: For Linux,

run

: virtualenv <environment name> For

Windows, use

: <environment name>Scriptsactivate The environment

appears in the CLI as active

:

Step 2

: Check version

Check the version within the environment using the python -c or pip show command.

For example:

pip show tensorflow

Check the version of TensorFlow in Anaconda Anaconda

uses the conda package manager for installation. The CONDA list shows all libraries installed using conda install.

For Linux, filter the results with the command grep:

conda list | grep tensorflow

For Windows, combine the conda list and findstr commands to print the version of TensorFlow: conda list

| findstr “tensorflow”

Check the version of TensorFlow

in Jupyter Notebook

Jupyter Notebook executes commands and Python code directly in the environment. There are two ways to check the version of TensorFlow in Jupyter Notebooks.

Method

1

: Using Import Import the TensorFlow library and print the version by running the following code: Import TensorFlow as TF Print(tf.__version__)

Method 2: Using Pip

Display the

TensorFlow version using the pip command with an exclamation point: ! pip

show tensorflow

Conclusion

This tutorial explains how to check

the version of TensorFlow

for different cases in different environments. For additional TensorFlow material, check out our PyTorch vs TensorFlow comparison.

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