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Update the link to the latest AOT compilation doc (#2752)
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docs/install/how_to_build.md

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### Extra Requirements for XPU Build Only
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#### Install Intel GPU Driver
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Install the Intel GPU Driver in the building server, which is needed to build with GPU support and AOT ([Ahead-of-time compilation](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2024-1/ahead-of-time-compilation.html)).
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Install the Intel GPU Driver in the building server, which is needed to build with GPU support and AOT ([Ahead-of-time compilation](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2025-0/ahead-of-time-compilation.html)).
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Refer to [Install Intel GPU driver](install_for_xpu.md/#install-gpu-drivers) for details.
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Note:
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1. Make sure to [install developer runtime packages](https://dgpu-docs.intel.com/installation-guides/ubuntu/ubuntu-jammy-dc.html#optional-install-developer-packages) before building Intel® Extension for TensorFlow*.
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2. **AOT ([Ahead-of-time compilation](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2024-1/ahead-of-time-compilation.html))**
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2. **AOT ([Ahead-of-time compilation](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2025-0/ahead-of-time-compilation.html))**
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AOT is a compiling option that reduces the initialization time of GPU kernels at startup time by creating the binary code for a specified hardware platform during compiling. AOT will make the installation package larger but improve performance time.
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Without AOT, Intel® Extension for TensorFlow* will be translated to binary code for local hardware platform during startup. That will prolong startup time when using a GPU to several minutes or more.
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For more information, refer to [Use AOT for Integrated Graphics (Intel GPU)](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2024-1/ahead-of-time-compilation.html).
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For more information, refer to [Use AOT for Integrated Graphics (Intel GPU)](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2025-0/ahead-of-time-compilation.html).
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#### Install oneAPI Base Toolkit
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Default is '', which means no AOT.
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Fill one or more device type strings of special hardware platforms, such as `ats-m150`, `acm-g11`.
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Fill one or more compilation device name strings of special hardware platforms, such as `ats-m150`, `acm-g11`.
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Here is the list of GPUs we've verified:
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|GPU|device type|
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|GPU|AOT Compilation Device Name|
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|-|-|
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|Intel® Data Center GPU Flex Series 170|ats-m150|
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|Intel® Data Center GPU Flex Series 140|ats-m75|
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|Intel® Data Center GPU Max Series|pvc|
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|Intel® Arc™ A730M|acm-g10|
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|Intel® Arc™ A380|acm-g11|
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Please refer to the `Available GPU Platforms` section in the end of the [Ahead of Time Compilation](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2024-1/ahead-of-time-compilation.html) document for more device types or create an [issue](https://github.com/intel/intel-extension-for-tensorflow/issues) to ask support.
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Please refer to the `Available GPU Platforms` section in the end of the [Ahead of Time Compilation](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2025-0/ahead-of-time-compilation.html) document for more AOT compilation device names or create an [issue](https://github.com/intel/intel-extension-for-tensorflow/issues) to ask support.
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To get the full list of supported device types, use the OpenCL™ Offline Compiler (OCLOC) tool (which is installed as part of the GPU driver), and run the following command, please look for `-device <device_type>` field of the output:
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```bash
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NOTE: XPU mode which supports both CPU and GPU is disbaled."--config=xpu" only supports GPU, which is same as "--config=gpu"
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Configuration finished
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```
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```

docs/install/install_for_cpp.md

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### Extra Requirements for XPU/GPU Build Only
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#### Install Intel GPU Driver
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Install the Intel GPU Driver in the building server, which is needed to build with GPU support and AOT ([Ahead-of-time compilation](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2024-1/ahead-of-time-compilation.html)).
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Install the Intel GPU Driver in the building server, which is needed to build with GPU support and AOT ([Ahead-of-time compilation](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2025-0/ahead-of-time-compilation.html)).
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Refer to [Install Intel GPU driver](install_for_xpu.md/#install-gpu-drivers) for details.
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Note:
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1. Make sure to [install developer runtime packages](https://dgpu-docs.intel.com/installation-guides/ubuntu/ubuntu-jammy-dc.html#optional-install-developer-packages) before building Intel® Extension for TensorFlow*.
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2. **AOT ([Ahead-of-time compilation](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2024-1/ahead-of-time-compilation.html))**
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2. **AOT ([Ahead-of-time compilation](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2025-0/ahead-of-time-compilation.html))**
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AOT is a compiling option that reduces the initialization time of GPU kernels at startup time by creating the binary code for a specified hardware platform during compiling. AOT will make the installation package larger but improve performance time.
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Without AOT, Intel® Extension for TensorFlow* will be translated to binary code for local hardware platform during startup. That will prolong startup time when using a GPU to several minutes or more.
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For more information, refer to [Use AOT for Integrated Graphics (Intel GPU)](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2024-1/ahead-of-time-compilation.html).
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For more information, refer to [Use AOT for Integrated Graphics (Intel GPU)](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2025-0/ahead-of-time-compilation.html).
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#### Install oneAPI Base Toolkit
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Default is '', which means no AOT.
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Fill one or more device type strings of special hardware platforms, such as `ats-m150`, `acm-g11`.
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Fill one or more compilation device name strings of special hardware platforms, such as `ats-m150`, `acm-g11`.
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Here is the list of GPUs we've verified:
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|GPU|device type|
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|GPU|AOT Compilation Device Name|
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|-|-|
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|Intel® Data Center GPU Flex Series 170|ats-m150|
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|Intel® Data Center GPU Flex Series 140|ats-m75|
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|Intel® Data Center GPU Max Series|pvc|
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|Intel® Arc™ A730M|acm-g10|
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|Intel® Arc™ A380|acm-g11|
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Please refer to the `Available GPU Platforms` section in the end of the [Ahead of Time Compilation](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2024-1/ahead-of-time-compilation.html) document for more device types or create an [issue](https://github.com/intel/intel-extension-for-tensorflow/issues) to ask support.
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Please refer to the `Available GPU Platforms` section in the end of the [Ahead of Time Compilation](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2025-0/ahead-of-time-compilation.html) document for more AOT compilation device names or create an [issue](https://github.com/intel/intel-extension-for-tensorflow/issues) to ask support.
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To get the full list of supported device types, use the OpenCL™ Offline Compiler (OCLOC) tool (which is installed as part of the GPU driver), and run the following command, please look for `-device <device_type>` field of the output:
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```bash
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```bash
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$ source /opt/intel/oneapi/compiler/latest/env/vars.sh
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$ source /opt/intel/oneapi/mkl/latest/env/vars.sh
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```
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```

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