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Add link to new custom op tutorial (#424)
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torchao/csrc/README.md

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@@ -6,6 +6,8 @@ This folder is an example of how to integrate your own custom kernels into ao su
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The goal is that you can focus on just writing your custom CUDA or C++ kernel and we can package it up so it's available via `torchao.ops.your_custom_kernel`.
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To learn more about custom ops in PyTorch you can refer to the [PyTorch Custom Operators Landing Page](https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html)
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## How to add your own kernel in ao
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