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pytorchbotJuntian Liu
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Added a brief intro of the new numerical debugging capability to the devtools overview page (#12874)
Summary: As title Differential Revision: D78701633 Co-authored-by: Juntian Liu <[email protected]>
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docs/source/devtools-overview.md

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@@ -15,6 +15,7 @@ The ExecuTorch Developer Tools support the following features:
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- **Delegate Integration** - Surfacing performance details from delegate backends
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- Link back delegate operator execution to the nodes they represent in the edge dialect graph (and subsequently linking back to source code and module hierarchy)
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- **Debugging** - Intermediate outputs and output quality analysis
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- **Numerical Discrepancy Detection** - Operator-level numerical discrepancy detection between AOT and runtime intermediate outputs to streamline numerical debugging and validation.
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- **Memory Allocation Insights** - Visualize how memory is planned, where all the live tensors are at any point in time
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- **Visualization** - Coming soon
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