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Nov 30, 2022
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enable dGPU support #1244

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c332990
add GPU support
yinghu5 Nov 30, 2022
5b1b6ef
Update README.md
jimmytwei Nov 30, 2022
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13 changes: 11 additions & 2 deletions AI-and-Analytics/Getting-Started-Samples/IntelTensorFlow_GettingStarted/README.md
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Expand Up @@ -4,9 +4,9 @@ TensorFlow* is a widely-used machine learning framework in the deep learning are
| Optimized for | Description
|:--- |:---
| OS | Linux* Ubuntu* 18.0.x and later, Windows* 10
| Hardware | Intel® Xeon® Scalable processor family or newer
| Hardware | Intel® Xeon® Scalable processor family or newer and Intel GPU
| Software | Intel® AI Analytics Toolkit
| What you will learn | How to get started to use Intel® Optimization for TensorFlow*
| What you will learn | How to get started to use Intel® Optimization for TensorFlow* and Intel(R) Extension for TensorFlow*
| Time to complete | 10 minutes

## Purpose
Expand Down Expand Up @@ -152,6 +152,15 @@ cd ~/oneAPI-samples/AI-and-Analytics/Getting-Started Samples/IntelTensorFlow_Get
```
> the run.sh contains all the instructions needed to run this "TensorFlow_HelloWorld" workload

## Running on Intel GPU
The sample code is CPU based, but you can run it using Intel(R) Extension for TensorFlow* with Intel(R) Data Center GPU Flex Series freely.

If you are using the Intel GPU, please refer to [Intel GPU Software Installation](https://intel.github.io/intel-extension-for-tensorflow/latest/docs/install/install_for_gpu.html)

It should be able to run on Intel GPU seamlessly and without any code change.

For details, please refer to the Get Start Example Ready: [Examples — Intel® Extension for TensorFlow*]
(https://intel.github.io/intel-extension-for-tensorflow/latest/examples/quick_example.html)

### Troubleshooting
If an error occurs, troubleshoot the problem using the Diagnostics Utility for Intel® oneAPI Toolkits.
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