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Updated OneDNN build documentation (#12446)

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Modified OneDNN documentation to include build instructions for using open-source OpenCL-SDK

Signed-off by: chethan.palangotu.keshava@intel.com
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chethanpk 2022-08-03 12:53:14 -07:00 committed by GitHub
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docs/build/eps.md vendored
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@ -190,22 +190,22 @@ These instructions are for JetPack SDK 4.6.1.
## oneDNN
See more information on ondDNN (formerly DNNL) [here](../execution-providers/oneDNN-ExecutionProvider.md).
See more information on oneDNN (formerly DNNL) [here](../execution-providers/oneDNN-ExecutionProvider.md).
### Build Instructions
{: .no_toc }
The DNNL execution provider can be built for Intel CPU or GPU. To build for Intel GPU, install [Intel SDK for OpenCL Applications](https://software.intel.com/content/www/us/en/develop/tools/opencl-sdk.html). Install the latest GPU driver - [Windows graphics driver](https://downloadcenter.intel.com/product/80939/Graphics), [Linux graphics compute runtime and OpenCL driver](https://github.com/intel/compute-runtime/releases).
The DNNL execution provider can be built for Intel CPU or GPU. To build for Intel GPU, install [Intel SDK for OpenCL Applications](https://software.intel.com/content/www/us/en/develop/tools/opencl-sdk.html) or build OpenCL from [Khronos OpenCL SDK](https://github.com/KhronosGroup/OpenCL-SDK). Pass in the OpenCL SDK path as dnnl_opencl_root to the build command. Install the latest GPU driver - [Windows graphics driver](https://downloadcenter.intel.com/product/80939/Graphics), [Linux graphics compute runtime and OpenCL driver](https://github.com/intel/compute-runtime/releases).
For CPU
#### Windows
`.\build.bat --use_dnnl`
#### Linux
`./build.sh --use_dnnl`
To build for Intel GPU, replace dnnl_opencl_root with the path of the Intel SDK for OpenCL Applications.
For GPU
#### Windows
`.\build.bat --use_dnnl --dnnl_gpu_runtime ocl --dnnl_opencl_root "c:\program files (x86)\intelswtools\sw_dev_tools\opencl\sdk"`