TensorFlow : Install2025/10/02

	Install TensorFlow which is the Machine Learning Library. On this example, Setup TensorFlow to use NVIDIA GPU on your computer.
[1]	Install CUDA, refer to here.
[2]	Install Python 3, refer to here.
[3]	Install required packages.

[root@dlp ~]#

dnf -y install cudnn9-cuda-13 python3-devel gcc gcc-c++ make cuda-cudart-13-0

[4]	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 [5] with root user account.

[cent@dlp ~]$

python3 -m venv --system-site-packages ~/tensorflow

[cent@dlp ~]$

source ./tensorflow/bin/activate

(tensorflow) [cent@dlp ~]$

[5]	Install TensorFlow.

(tensorflow) [cent@dlp ~]$

pip3 install --upgrade tensorflow[and-cuda]

# verify to run TensorFlow

(tensorflow) [cent@dlp ~]$

python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"

2025-10-01 17:38:44.152506: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]

(tensorflow) [cent@dlp ~]$

python3 -c "from tensorflow.python.client import device_lib; device_lib.list_local_devices()"

2025-10-01 17:38:53.088757: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1759307935.375194    3728 gpu_device.cc:2020] Created device /device:GPU:0 with 10260 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 3060, pci bus id: 0000:07:00.0, compute capability: 8.6

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