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2.**⚙️ Compile** — Quantize, optimize, and partition to hardware backends → `.pte`
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3.**🚀 Execute** — Load `.pte` on-device via lightweight C++ runtime
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Models use a standardized [Core ATen operator set](https://docs.pytorch.org/executorch/main/concepts.html#core-aten-operators). [Partitioners](https://docs.pytorch.org/executorch/main/compiler-delegate-and-partitioner.html) delegate subgraphs to specialized hardware (NPU/GPU) with CPU fallback.
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Models use a standardized [Core ATen operator set](https://docs.pytorch.org/executorch/main/compiler-ir-advanced.html#intermediate-representation). [Partitioners](https://docs.pytorch.org/executorch/main/compiler-delegate-and-partitioner.html) delegate subgraphs to specialized hardware (NPU/GPU) with CPU fallback.
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