apache / tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

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[Docs][Datatypes] Minimal example for supporting custom datatypes

RaulMurillo opened this issue · comments

The documentation about Bring Your Own Datatypes is partially incomplete, and also the link for more documentation at the end of the page is currently broken.

May I suggest providing a minimal working example with the latest version of TVM including, for example, the mentioned vector addition using posit datatype? Not just a few required instructions, but the whole working code, as in other documentation pages.