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Experimental: Intel CPU Software Installation

Experimental Release

Intel® Extension for TensorFlow* provides experimental support for 2nd Generation Intel® Xeon® Scalable Processors and newer.

Stock TensorFlow and Intel® Optimization for TensorFlow* are recommended if product quality is required.

Hardware Requirements

Verified Hardware Platforms:

  • Cascade Lake
  • Cooper Lake
  • Ice Lake
  • Sapphire Rapids

Software Requirements

  • Ubuntu 20.04 (64-bit), Ubuntu 22.04 (64-bit) or CentOS Linux 8 (64-bit), and Sapphire Rapids requires Ubuntu 22.04 or CentOS Linux 8.
  • Python 3.7-3.10
  • pip 19.0 or later (requires manylinux2014 support)

Install via Docker container

Build Docker container from Dockerfile

Run the following Dockerfile build procedure to build the pip based deployment container.

Get docker container from dockerhub

Pre-built docker images are available at DockerHub. Please run the following command to pull the CPU Docker container image to your local machine.

$ docker pull intel/intel-extension-for-tensorflow:cpu
$ docker run -it -p 8888:8888 intel/intel-extension-for-tensorflow:cpu

Then go to your browser on http://localhost:8888/

Install via PyPI wheel in bare metal

Install TensorFlow

The Python development and virtual environment setup recommendation by TensorFlow to isolate package installation from the system.

The Intel® Extension for TensorFlow* requires stock TensorFlow, and the version should be == 2.10.0.

Virtual environment install

You can follow the instructions in stock tensorflow install to activate the virtual environment.

On Linux, it is often necessary to first update pip to a version that supports manylinux2014 wheels.

(tf)$ pip install --upgrade pip

To install in virtual environment, you can run

(tf)$ pip install tensorflow==2.10.0
System environment install

If want to system install in $HOME, append --user to the commands.

$ pip3 install --user tensorflow==2.10.0

And the following system environment install for Intel® Extension for TensorFlow* will use the same practice.

Install Intel® Extension for TensorFlow*

To install a CPU-only version in virtual environment, you can run

(tf)$ pip install --upgrade intel-extension-for-tensorflow[cpu]
Verify the Installation
python -c "import intel_extension_for_tensorflow as itex; print(itex.__version__)"