CentOS Stream 9
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TensorFlow : Install
2022/08/10
 
Install TensorFlow which is the Machine Learning Library.
On this example, Install TensorFlow 2 (CPU Only).
[1]
[2] Install other required packages.
[root@dlp ~]#
dnf -y install python3-devel gcc gcc-c++ make
[3] Login as a common user and prepare Python virtual environment to install TensorFlow.
If you'd like to install it on System Wide, skip this section and execute the next [4] with root user account.
[cent@dlp ~]$
python3 -m venv --system-site-packages ~/tensorflow

[cent@dlp ~]$
source ./tensorflow/bin/activate

(tensorflow) [cent@dlp ~]$
[4] Install TensorFlow 2.9.
(tensorflow) [cent@dlp ~]$
pip3 install --upgrade tensorflow-cpu==2.9
# run TensorFlow

(tensorflow) [cent@dlp ~]$
python3 -c "import tensorflow as tf;print(tf.reduce_sum(tf.random.normal([1000, 1000])))"

2022-09-08 15:47:12.503993: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
tf.Tensor(-347.49286, shape=(), dtype=float32)

# Hello World on TensorFlow

(tensorflow) [cent@dlp ~]$
python3 -c "import tensorflow as tf; hello = tf.constant('Hello, TensorFlow World'); tf.print(hello)"

2022-09-08 15:47:31.628999: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Hello, TensorFlow World
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