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advanced_source/cpp_custom_ops.rst

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@@ -10,14 +10,14 @@ Custom C++ and CUDA Operators
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.. grid-item-card:: :octicon:`mortar-board;1em;` What you will learn
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:class-card: card-prerequisites
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* How to integrate custom operators written in C++/CUDA with PyTorch
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* How to test custom operators using ``torch.library.opcheck``
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* How to integrate custom operators written in C++/CUDA with PyTorch
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* How to test custom operators using ``torch.library.opcheck``
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.. grid-item-card:: :octicon:`list-unordered;1em;` Prerequisites
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:class-card: card-prerequisites
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* PyTorch 2.4 or later
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* Basic understanding of C++ and CUDA programming
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* PyTorch 2.4 or later
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* Basic understanding of C++ and CUDA programming
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PyTorch offers a large library of operators that work on Tensors (e.g. torch.add, torch.sum, etc).
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However, you may wish to bring a new custom operator to PyTorch. This tutorial demonstrates the

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