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Add note to get start xpu (#148168)
Installing PyTorch from binaries will automatically install the runtime packages of Intel® Deep Learning Essentials. In this case, if we activate oneAPI in a standalone installation of Intel® Deep Learning Essentials, there will be an environment issue. Therefore, add a note to remind users to avoid this situation. Pull Request resolved: https://github.com/pytorch/pytorch/pull/148168 Approved by: https://github.com/janeyx99 Co-authored-by: Nikita Shulga <2453524+malfet@users.noreply.github.com> Co-authored-by: Jane (Yuan) Xu <31798555+janeyx99@users.noreply.github.com>
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@ -24,7 +24,7 @@ Software Prerequisite
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To use PyTorch on Intel GPUs, you need to install the Intel GPUs driver first. For installation guide, visit `Intel GPUs Driver Installation <https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpu/2-6.html#driver-installation>`_.
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Intel GPU Drivers are sufficient for binary installation, while building from source requires both Intel GPU Drivers and Intel® Deep Learning Essentials. Please refer to `PyTorch Installation Prerequisites for Intel GPUs <https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpu/2-6.html>`_ for more information.
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Please skip the Intel® Deep Learning Essentials installation section if you install from binaries. For building from source, please refer to `PyTorch Installation Prerequisites for Intel GPUs <https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpu/2-6.html>`_ for both Intel GPU Driver and Intel® Deep Learning Essentials Installation.
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Installation
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