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fix: typo "archtecture" to "architecture"
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advanced_source/static_quantization_tutorial.rst

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@@ -13,7 +13,7 @@ to easily apply some advanced quantization techniques shown
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`here <https://arxiv.org/abs/1806.08342>`_ so that your quantized models take much less
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of an accuracy hit than they would otherwise.
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Warning: we use a lot of boilerplate code from other PyTorch repos to, for example,
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define the ``MobileNetV2`` model archtecture, define data loaders, and so on. We of course
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define the ``MobileNetV2`` model architecture, define data loaders, and so on. We of course
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encourage you to read it; but if you want to get to the quantization features, feel free
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to skip to the "4. Post-training static quantization" section.
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We'll start by doing the necessary imports:
@@ -630,4 +630,4 @@ and quantization-aware training - describing what they do "under the hood" and h
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them in PyTorch.
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Thanks for reading! As always, we welcome any feedback, so please create an issue
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`here <https://github.com/pytorch/pytorch/issues>`_ if you have any.
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`here <https://github.com/pytorch/pytorch/issues>`_ if you have any.

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