Install TensorFlow on Debian 11

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This tutorial will show you how to install TensorFlow on Debian 11. According to their site, 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.

Install TensorFlow on Debian 11

There are various ways in which you can install TensorFlow on Debian 11;

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How to install Rust programming language on Linux (Ubuntu, Fedora, Arch)
  1. Install using Python PIP
  2. Install via Docker
  3. Build and install from the source.

We will only discuss the PIP installation method in this guide. For other methods refer to the documentation.

Before you can proceed with installation, be sure to check on hardware, system and software requirements.

Install TensorFlow on Debian 11 using Python PIP

To install TensorFlow on Debian 11 using Python PIP;

  • Install Python 3.x

TensorFlow requires Python 3.7-3.10. Fortunately, Debian 11 ships with Python 3.9;

python3 -V

Sample output;

Python 3.9.2
  • Install PIP on Debian 11

pip version 19.0 or higher is required. You can install PIP on Debian 11 using the command below;

sudo apt update
sudo apt install python3-pip
  • Install Required Python Libraries and Virtual Environment

Run the command below to install required Python libraries and virtual environment.

sudo apt install python3-{venv,dev}
  • Create TensorFlow Virtual Environment

Next, run the command below to install TensorFlow;

mkdir ~/tensorflow && cd ~/tensorflow

Create virtual environment, in this case we called our virtual environment, tensorflow_venv. You can use any name!

python3 -m venv tensorflow_venv

Activate the virtual environment created;

source ./tensorflow_venv/bin/activate

You will see the shell prompt change;

(tensorflow_venv) [email protected]:~/tensorflow$
  • Upgrade PIP;
pip install --upgrade pip

Verify installed PIP version;

pip --version
pip 22.1.1 from /home/kifarunix/tensorflow/tensorflow_venv/lib/python3.9/site-packages/pip (python 3.9)
  • Install TensorFlow on Debian 11 using PIP

Within the virtual environment, run the command below to install TensorFlow on Debian 11 using PIP.

pip install --upgrade tensorflow

Sample installation output;

Requirement already satisfied: pip in ./tensorflow_venv/lib/python3.9/site-packages (20.3.4)
Collecting pip
  Downloading pip-22.1.1-py3-none-any.whl (2.1 MB)
     |████████████████████████████████| 2.1 MB 821 kB/s 
Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 20.3.4
    Uninstalling pip-20.3.4:
      Successfully uninstalled pip-20.3.4
Successfully installed pip-22.1.1
(tensorflow_venv) [email protected]:~/tensorflow$ pip3 --version
pip 22.1.1 from /home/kifarunix/tensorflow/tensorflow_venv/lib/python3.9/site-packages/pip (python 3.9)
(tensorflow_venv) [email protected]:~/tensorflow$ pip install --upgrade tensorflow
Collecting tensorflow
  Downloading tensorflow-2.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (511.7 MB)
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WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)")': /simple/astunparse/
Collecting astunparse>=1.6.0
  Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Collecting numpy>=1.20
  Downloading numpy-1.22.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.8 MB)
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Collecting keras<2.10.0,>=2.9.0rc0
  Downloading keras-2.9.0-py2.py3-none-any.whl (1.6 MB)
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Collecting absl-py>=1.0.0
  Downloading absl_py-1.0.0-py3-none-any.whl (126 kB)
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Collecting gast<=0.4.0,>=0.2.1
  Downloading gast-0.4.0-py3-none-any.whl (9.8 kB)
Collecting tensorflow-io-gcs-filesystem>=0.23.1
  Downloading tensorflow_io_gcs_filesystem-0.26.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.4 MB)
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Requirement already satisfied: setuptools in ./tensorflow_venv/lib/python3.9/site-packages (from tensorflow) (44.1.1)
Collecting tensorboard<2.10,>=2.9
  Downloading tensorboard-2.9.0-py3-none-any.whl (5.8 MB)
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Collecting packaging
  Downloading packaging-21.3-py3-none-any.whl (40 kB)
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Collecting h5py>=2.9.0
  Downloading h5py-3.7.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (4.5 MB)
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Collecting opt-einsum>=2.3.2
  Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)
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Collecting google-pasta>=0.1.1
  Downloading google_pasta-0.2.0-py3-none-any.whl (57 kB)
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Collecting keras-preprocessing>=1.1.1
  Downloading Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)
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Collecting six>=1.12.0
  Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)
Collecting typing-extensions>=3.6.6
  Downloading typing_extensions-4.2.0-py3-none-any.whl (24 kB)
Collecting grpcio<2.0,>=1.24.3
  Downloading grpcio-1.46.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB)
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Collecting libclang>=13.0.0
  Downloading libclang-14.0.1-py2.py3-none-manylinux1_x86_64.whl (14.5 MB)
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Collecting termcolor>=1.1.0
  Downloading termcolor-1.1.0.tar.gz (3.9 kB)
  Preparing metadata (setup.py) ... done
Collecting protobuf<3.20,>=3.9.2
  Downloading protobuf-3.19.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB)
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Collecting wrapt>=1.11.0
  Downloading wrapt-1.14.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (77 kB)
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Collecting flatbuffers<2,>=1.12
  Downloading flatbuffers-1.12-py2.py3-none-any.whl (15 kB)
Collecting tensorflow-estimator<2.10.0,>=2.9.0rc0
  Downloading tensorflow_estimator-2.9.0-py2.py3-none-any.whl (438 kB)
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Collecting wheel<1.0,>=0.23.0
  Downloading wheel-0.37.1-py2.py3-none-any.whl (35 kB)
Collecting requests<3,>=2.21.0
  Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
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Collecting markdown>=2.6.8
  Downloading Markdown-3.3.7-py3-none-any.whl (97 kB)
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Collecting google-auth-oauthlib<0.5,>=0.4.1
  Downloading google_auth_oauthlib-0.4.6-py2.py3-none-any.whl (18 kB)
Collecting tensorboard-plugin-wit>=1.6.0
  Downloading tensorboard_plugin_wit-1.8.1-py3-none-any.whl (781 kB)
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Collecting tensorboard-data-server<0.7.0,>=0.6.0
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Collecting google-auth<3,>=1.6.3
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Collecting werkzeug>=1.0.1
  Downloading Werkzeug-2.1.2-py3-none-any.whl (224 kB)
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Collecting pyparsing!=3.0.5,>=2.0.2
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Collecting pyasn1-modules>=0.2.1
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Collecting cachetools<6.0,>=2.0.0
  Downloading cachetools-5.1.0-py3-none-any.whl (9.2 kB)
Collecting rsa<5,>=3.1.4
  Downloading rsa-4.8-py3-none-any.whl (39 kB)
Collecting requests-oauthlib>=0.7.0
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Collecting importlib-metadata>=4.4
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Collecting idna<4,>=2.5
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Collecting charset-normalizer~=2.0.0
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Collecting certifi>=2017.4.17
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Collecting zipp>=0.5
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Collecting pyasn1<0.5.0,>=0.4.6
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Collecting oauthlib>=3.0.0
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Using legacy 'setup.py install' for termcolor, since package 'wheel' is not installed.
Installing collected packages: termcolor, tensorboard-plugin-wit, pyasn1, libclang, keras, flatbuffers, zipp, wrapt, wheel, werkzeug, urllib3, typing-extensions, tensorflow-io-gcs-filesystem, tensorflow-estimator, tensorboard-data-server, six, rsa, pyparsing, pyasn1-modules, protobuf, oauthlib, numpy, idna, gast, charset-normalizer, certifi, cachetools, requests, packaging, opt-einsum, keras-preprocessing, importlib-metadata, h5py, grpcio, google-pasta, google-auth, astunparse, absl-py, requests-oauthlib, markdown, google-auth-oauthlib, tensorboard, tensorflow
  Running setup.py install for termcolor ... done
Successfully 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 importlib-metadata-4.11.4 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 zipp-3.8.0

Check installed version of TensorFlow;

python3 -c 'import tensorflow as tf;print(tf.version.VERSION)'

Sample output;

2.9.1

You can now use TensorFlow. Refer to the documentation for more information.

You can deactivate the virtual environment using the command;

deactivate

You should see the shell prompt change.

And that is all on how to install TensorFlow on Debian 11.

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