{"id":12126,"date":"2022-05-24T22:27:33","date_gmt":"2022-05-24T19:27:33","guid":{"rendered":"https:\/\/kifarunix.com\/?p=12126"},"modified":"2024-03-09T12:50:56","modified_gmt":"2024-03-09T09:50:56","slug":"install-tensorflow-ubuntu-22-04","status":"publish","type":"post","link":"https:\/\/kifarunix.com\/install-tensorflow-ubuntu-22-04\/","title":{"rendered":"Install TensorFlow on Ubuntu 22.04"},"content":{"rendered":"\n
This tutorial will show you how to install TensorFlow on Ubuntu 22.04. According to their site<\/a>, TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications<\/em>.<\/p>\n\n\n\n There are various ways in which TensorFlow can be installed on Ubuntu 22.04;<\/p>\n\n\n\n We will only discuss the PIP installation method in this guide. For other methods refer to the documentation.<\/p>\n\n\n\n Before you can proceed with installation, be sure to check on hardware<\/a>, system<\/a> and software<\/a> requirements.<\/p>\n\n\n\n To install TensorFlow using Python PIP;<\/p>\n\n\n\n TensorFlow requires Python 3.7-3.10. Fortunately, Ubuntu 22.04 ships with Python 3.10;<\/p>\n\n\n\n Sample output;<\/p>\n\n\n\n pip version 19.0 or higher is required. You can install PIP on Ubuntu 22.04 using the command below;<\/p>\n\n\n\n Run the command below to install required Python libraries and virtual environment.<\/p>\n\n\n\n Next, run the command below to install TensorFlow;<\/p>\n\n\n\n Create virtual environment, in this case we called our virtual environment, tensorflow_venv<\/strong>. You can use any name!<\/p>\n\n\n\n Activate the virtual environment created;<\/p>\n\n\n\n You will see the shell prompt change;<\/p>\n\n\n\n Verify installed PIP version;<\/p>\n\n\n\n Within the virtual environment, run the command below to install TensorFlow using PIP.<\/p>\n\n\n\n Sample installation output;<\/p>\n\n\n\n Check installed version of TensorFlow;<\/p>\n\n\n\n Sample output;<\/p>\n\n\n\n You can now use TensorFlow. Refer to the documentation<\/a> for more information.<\/p>\n\n\n\n You can deactivate the virtual environment using the command;<\/p>\n\n\n\nInstall TensorFlow on Ubuntu 22.04<\/h2>\n\n\n\n
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Install TensorFlow using Python PIP<\/h2>\n\n\n\n
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python3 -V<\/code><\/pre>\n\n\n\n
Python 3.10.4<\/code><\/pre>\n\n\n\n
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sudo apt install python3-pip<\/code><\/pre>\n\n\n\n
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sudo apt install python3-{venv,dev}<\/code><\/pre>\n\n\n\n
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mkdir ~\/tensorflow && cd ~\/tensorflow<\/code><\/pre>\n\n\n\n
python3 -m venv tensorflow_venv<\/code><\/pre>\n\n\n\n
source .\/tensorflow_venv\/bin\/activate<\/code><\/pre>\n\n\n\n
(tensorflow_venv)<\/strong> kifarunix@jellyfish:~\/tensorflow$<\/code><\/pre>\n\n\n\n
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pip install --upgrade pip<\/code><\/pre>\n\n\n\n
pip3 --version<\/code><\/pre>\n\n\n\n
pip 22.1.1 from \/home\/kifarunix\/tensorflow\/tensorflow_venv\/lib\/python3.10\/site-packages\/pip (python 3.10)<\/code><\/pre>\n\n\n\n
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pip install --upgrade tensorflow<\/code><\/pre>\n\n\n\n
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kB\/s eta 0:00:00\nUsing legacy 'setup.py install' for termcolor, since package 'wheel' is not installed.\nInstalling collected packages: termcolor, tensorboard-plugin-wit, pyasn1, libclang, keras, flatbuffers, wrapt, wheel, werkzeug, urllib3, typing-extensions, tensorflow-io-gcs-filesystem, tensorflow-estimator, tensorboard-data-server, six, rsa, pyparsing, pyasn1-modules, protobuf, oauthlib, numpy, markdown, idna, gast, charset-normalizer, certifi, cachetools, requests, packaging, opt-einsum, keras-preprocessing, h5py, grpcio, google-pasta, google-auth, astunparse, absl-py, requests-oauthlib, google-auth-oauthlib, tensorboard, tensorflow\n Running setup.py install for termcolor ... done\nSuccessfully installed absl-py-1.0.0 astunparse-1.6.3 cachetools-5.1.0 certifi-2022.5.18.1 charset-normalizer-2.0.12 flatbuffers-1.12 gast-0.4.0 google-auth-2.6.6 google-auth-oauthlib-0.4.6 google-pasta-0.2.0 grpcio-1.46.3 h5py-3.7.0 idna-3.3 keras-2.9.0 keras-preprocessing-1.1.2 libclang-14.0.1 markdown-3.3.7 numpy-1.22.4 oauthlib-3.2.0 opt-einsum-3.3.0 packaging-21.3 protobuf-3.19.4 pyasn1-0.4.8 pyasn1-modules-0.2.8 pyparsing-3.0.9 requests-2.27.1 requests-oauthlib-1.3.1 rsa-4.8 six-1.16.0 tensorboard-2.9.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 tensorflow-2.9.1 tensorflow-estimator-2.9.0 tensorflow-io-gcs-filesystem-0.26.0 termcolor-1.1.0 typing-extensions-4.2.0 urllib3-1.26.9 werkzeug-2.1.2 wheel-0.37.1 wrapt-1.14.1\n<\/code><\/pre>\n\n\n\n
python3 -c 'import tensorflow as tf;print(tf.version.VERSION)'<\/code><\/pre>\n\n\n\n
2.9.1<\/code><\/pre>\n\n\n\n
deactivate<\/code><\/pre>\n\n\n\n
Other Tutorials<\/h3>\n\n\n\n