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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
from the top result below
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
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