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 multiple ways to check the TensorFlow version depending on the installation method. This article shows how to check the TensorFlow...
To check the GPU devices that TensorFlow can access, run the tf.config.list_physical_devices(‘GPU’) in the Python Interactive Shell. You will see all the GPU devices that TensorFlow can use in the output. Here, we have only one GPU GPU:0 that TensorFlow can use for AI/ML acceleration...
open the Python interpreter by typing python. After the successful opening of the interpreter, type the codeimport tensorflow as tfif you see no error after importing TensorFlow. Bingo, it got installed successfully, and to check its version type inprint(tf.__version__), you will...
Learn how to install TensorFlow and start building machine learning models. This guide covers installation steps for various processors.
Python and Virtualenv: In this approach, you install TensorFlow and all of the packages required to use TensorFlow in a Python virtual environment. This isolates your TensorFlow environment from other Python programs on the same machine. Native pip: In this method, you install TensorFlow on your ...
An open-source machine learning software library, TensorFlow is used to train neural networks. Follow this tutorial to install TensorFlow in a Python virtual…
Access to a command line/terminal window. A user account withsudoprivileges. Python 3 installed on the Ubuntu system(we are using Python 3.12). Step 1: Install Python Development Packages Before installing TensorFlow, set up the Python development environment. It includes the following: ...
3. Check a running installation You can also check a running installation to determine which version of Docker is being used. To do this, you need to use the docker version command; the Server line will indicate the version being used. Docker Desktop on macOS Arm64 The Server: Docker Deskt...
CuDNN and CUDA toolkit(if you want to build tensorflow-gpu version) Install Bazel: check you JAVA_HOME or test java: $ java -version get Bazel package: $ git clonehttps://github.com/bazelbuild/bazel.git(bazel can't install with yum.) ...
Is there a docker-images method to use tensorflow-gpu in jupyter-notebook? Use case Is there a way to use gpu? I am using a redhat ocp container. Do I need to use tensorflow-gpu to use the pod docker image? Or can I use a different gpu? Additional No response Are you willing to...