Comments (1)
ptillet
commented on July 22, 2024
Hi!
When Triton first came out (about 1.5 year ago), Tensorflow was indeed supported. After a lot of thoughts, I decided to drop support for Tensorflow, mostly because it got in the way of PyTorch support, which has become the biggest priority given who uses Triton at the moment. Adding some sort of TF support back would be a relatively small amount of work at first, but this would require maintenance work that I wouldn't be able to sustain.
That said, there is still the C++ API that people can use to build their own TF ops if truly needed :)
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Related Issues (20)
- https://github.com/Cecil500 HOT 3
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- Print statements inside kernel print incorrect value of int64 tensors HOT 4
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- urllib.error.HTTPError: HTTP Error 404: Not Found HOT 1
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- Calling torch.compile fails when Triton kernel arguments include triton.language.dtype HOT 1
- tl.cumsum seems emitting an internal error. HOT 1
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- Question regarding stride HOT 1
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