Split contributor guide into quantization overview #1618
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/1618
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 117acde with merge base 2aed684 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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| Note: We can also rely on torch.compile to generate kernels (through triton), for example the current int8 weight only quantization `kernel </~https://github.com/pytorch/ao/blob/e283743b3cc4612bb641b88dca3670231724d396/torchao/dtypes/affine_quantized_tensor.py#L1292-L1309>`__ just relies on torch.compile to get speedup. In this case there is no specific "efficient kernel" that's corresponding to the type of quantization. | ||
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| Quantized Tensors (derived dtypes) | ||
| General Guide on Extending torchao |
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we should also link to quantization overview to help with context I think
There's a lot of content in the contributor guide that belongs better to "Quantization Overview", so here we split the content and put them in the right pages.
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There's a lot of content in the contributor guide that belongs better to "Quantization Overview", so here we split the content and put them in the right pages.