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You can no longer try out a new attention variant by writing a few PyTorch operators – you often need to write a new custom kernel
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Join us at PyTorch Conference North America · Oct 20-21 · San Jose, CA

https://pytorch.org/blog/flexattention/
You can no longer try out a new attention variant by writing a few PyTorch operators – you often need to write a new custom kernel

Overloading Torch-TensorRT Converters with Custom Converters — Torch

https://docs.pytorch.org/TensorRT/tutorials/_rendered_examples/dynamo/converter_overloading.html
Overloading Torch-TensorRT Converters with Custom Converters# If for some reason you want to change the conversion behavior of a specific PyTorch operation to TensorRT, you can do so by writing a custom converter and overloading Torch-TensorRT’s