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Update TorchAO PT2E QAT Doc Hyperlink (#3480)
update hyperlink
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docs/source/tutorials_source/pt2e_quant_qat.rst

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@@ -5,7 +5,7 @@ PyTorch 2 Export Quantization-Aware Training (QAT)
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This tutorial shows how to perform quantization-aware training (QAT) in
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graph mode based on `torch.export.export <https://pytorch.org/docs/main/export.html>`_.
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For more details about PyTorch 2 Export Quantization in general, refer
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to the `post training quantization tutorial <https://docs.pytorch.org/ao/stable/tutorial_source/pt2e_quant_ptq.html>`_
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to the `post training quantization tutorial <https://docs.pytorch.org/ao/stable/tutorials_source/pt2e_quant_ptq.html>`_
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The PyTorch 2 Export QAT flow looks like the following—it is similar
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to the post training quantization (PTQ) flow for the most part:

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