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Oct 5, 2023
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Update 2023-10-04-pytorch-2-1.md #1476

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Update 2023-10-04-pytorch-2-1.md
jerryzh168 Oct 5, 2023
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Merge branch 'site' into patch-2
alenacal Oct 5, 2023
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Expand Up @@ -90,7 +90,7 @@ For more information, please see the tutorial [here](https://pytorch.org/tutoria

**\[Prototype] _torch.export_-based Quantization**

_torch.ao.quantization_ now supports quantization on PyTorch2-based _torch.export_ flows.  This includes support for built-in _XNNPACK_ and _X64Inductor_ _Quantizer_, as well as the ability to specify one’s own _Quantizer_.
_torch.ao.quantization_ now supports quantization on PyTorch 2 _torch.export_-based flows.  This includes support for built-in _XNNPACK_ and _X64Inductor_ _Quantizer_, as well as the ability to specify one’s own _Quantizer_.

For an explanation on post-training static quantization with torch.export, see [this tutorial](https://pytorch.org/tutorials/prototype/pt2e_quant_ptq.html), for quantization-aware training for static quantization with torch.export, see [this tutorial](https://pytorch.org/tutorials/prototype/pt2e_quant_qat.html).

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