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[pytorch/executorch][diff_train] [Doc] Update getting-started-architecture.md (#10027)
Fix a broken link Internal: << DO NOT EDIT BELOW THIS LINE >> **GitHub Author**: "Mengtao (Martin) Yuan" <[email protected]> (Meta Employee) **GitHub Repo**: [pytorch/executorch](https://github.com/pytorch/executorch) **GitHub Pull Request**: [#10027](#10027) Initially generated by: https://www.internalfb.com/intern/sandcastle/job/27021599544624408/ This was imported as part of a Diff Train. Please review this as soon as possible. Since it is a direct copy of a commit on GitHub, there shouldn't be much to do. diff-train-source-id: 9b697ae Differential Revision: [D72752371](https://our.internmc.facebook.com/intern/diff/D72752371/) [ghstack-poisoned]
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docs/source/getting-started-architecture.md

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@@ -18,7 +18,7 @@ There are three phases to deploy a PyTorch model to on-device: program preparati
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ExecuTorch extends the flexibility and usability of PyTorch to edge devices. It
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leverages PyTorch 2 compiler and export functionality
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([TorchDynamo](https://pytorch.org/docs/stable/dynamo/index.html),
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([TorchDynamo](https://pytorch.org/docs/stable/torch.compiler_dynamo_overview.html),
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[AOTAutograd](https://pytorch.org/functorch/stable/notebooks/aot_autograd_optimizations.html),
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[Quantization](https://pytorch.org/docs/main/quantization.html),
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[dynamic shapes](https://pytorch.org/get-started/pytorch-2.0/#pytorch-2x-faster-more-pythonic-and-as-dynamic-as-ever),

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