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enable dGPU support (#1244)
* add GPU support add session about running on Intel GPU * Update README.md Co-authored-by: Jimmy Wei <[email protected]>
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AI-and-Analytics/Getting-Started-Samples/IntelTensorFlow_GettingStarted/README.md

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@@ -4,9 +4,9 @@ TensorFlow* is a widely-used machine learning framework in the deep learning are
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| Optimized for | Description
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|:--- |:---
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| OS | Linux* Ubuntu* 18.0.x and later, Windows* 10
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| Hardware | Intel® Xeon® Scalable processor family or newer
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| Hardware | Intel® Xeon® Scalable processor family or newer and Intel GPU
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| Software | Intel® AI Analytics Toolkit
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| What you will learn | How to get started to use Intel® Optimization for TensorFlow*
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| What you will learn | How to get started to use Intel® Optimization for TensorFlow* and Intel(R) Extension for TensorFlow*
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| Time to complete | 10 minutes
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## Purpose
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```
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> the run.sh contains all the instructions needed to run this "TensorFlow_HelloWorld" workload
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## Running on Intel GPU
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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.
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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)
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It should be able to run on Intel GPU seamlessly and without any code change.
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For details, please refer to the Get Start Example Ready: [Examples — Intel® Extension for TensorFlow*]
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(https://intel.github.io/intel-extension-for-tensorflow/latest/examples/quick_example.html)
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### Troubleshooting
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If an error occurs, troubleshoot the problem using the Diagnostics Utility for Intel® oneAPI Toolkits.

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