Add a standalone tutorial for integrating custom op using sycl for Intel GPU #3470
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3470
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 1cbe063 with merge base ec4e137 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
ZhaoqiongZ
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@pytorchbot label "2.8" |
AlannaBurke
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Jul 18, 2025
AlannaBurke
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Jul 18, 2025
AlannaBurke
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Jul 18, 2025
AlannaBurke
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Jul 18, 2025
Co-authored-by: Alanna Burke <[email protected]>
Co-authored-by: Alanna Burke <[email protected]>
Co-authored-by: Alanna Burke <[email protected]>
Co-authored-by: Alanna Burke <[email protected]>
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Hi @svekars @AlannaBurke , please help final review! thank you! |
AlannaBurke
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Jul 28, 2025
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| PyTorch offers a large library of operators that work on Tensors (e.g. torch.add, torch.sum, etc). | ||
| However, you may wish to bring a new custom operator to PyTorch. This tutorial demonstrates the | ||
| blessed path to authoring a custom operator written in SYCL. Tutorials for C++ and CUDA operators are available in the :ref:`cpp-custom-ops-tutorial`. |
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| blessed path to authoring a custom operator written in SYCL. Tutorials for C++ and CUDA operators are available in the :ref:`cpp-custom-ops-tutorial`. | |
| best path to authoring a custom operator written in SYCL. Tutorials for C++ and CUDA operators are available in the :ref:`cpp-custom-ops-tutorial`. |
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add a standalone tutorial for integrating custom op using sycl for Intel GPU