get_started.md

Quick Get Started

Intel® Extension for TensorFlow* is a heterogeneous, high performance deep learning extension plugin based on TensorFlow PluggableDevice interface to bring Intel XPU(GPU, CPU, etc) devices into TensorFlow open source community for AI workload acceleration. It allows flexibly plugging an XPU into TensorFlow on-demand, and exposing computing power inside Intel's hardware.

This diagram provides a summary of the TensorFlow* PyPI package ecosystem.

• TensorFlow PyPI packages: estimator, keras, tensorboard, tensorflow-base

• Intel® Extension for TensorFlow* package:

  intel_extension_for_tensorflow contains:

  • XPU specific implementation
    • kernels & operators
    • graph optimizer
    • device runtime
  • XPU configuration management
    • XPU backend selection
    • Options turning on/off advanced features

Install

Hardware Requirement

Intel® Extension for TensorFlow* provides Intel GPU support and experimental Intel CPU support.

Software Requirement

Package	CPU	GPU	Installation
Intel GPU driver		Y	Install Intel GPU driver
Intel® oneAPI Base Toolkit		Y	Install Intel® oneAPI Base Toolkit
TensorFlow	Y	Y	Install TensorFlow 2.10.0

Installation Channel:

Intel® Extension for TensorFlow* can be installed from the following channels:

PyPI	DockerHub	Source
GPU \ CPU	GPU Container \ CPU Container	Build from source

Install for GPU

pip install tensorflow==2.10.0
pip install --upgrade intel-extension-for-tensorflow[gpu]

Please refer to GPU installation for details.

Install for CPU [Experimental]

pip install tensorflow==2.10.0
pip install --upgrade intel-extension-for-tensorflow[cpu]

Sanity check by:

python -c "import intel_extension_for_tensorflow as itex; print(itex.__version__)"

Support

Please submit your questions, feature requests, and bug reports on the GitHub issues page.