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Copy file name to clipboardExpand all lines: docs/source/using-executorch-building-from-source.md
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@@ -49,7 +49,7 @@ portability details.
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conda activate executorch
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```
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> **_NOTE:_**Addition Windows Setup
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> **_NOTE:_**Additional Windows Setup
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>
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> ExecuTorch requires symlinks to be enabled to build the Python components. To enable symlinks, run the following command before cloning the repository. Missing symlinks will manifest as an error related to `version.py` when running `pip install .`. See [src/README.md](https://github.com/pytorch/executorch/blob/main/src/README.md) for more information.
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> ```bash
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>**_TIP:_** For faster rebuilds, consider installing ccache (see [Compiler Cache section](#compiler-cache-ccache) above). On first builds, ccache populates its cache. Subsequent builds with the same compiler flags can be significantly faster.
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>**_TIP:_** For faster rebuilds, consider installing ccache (see [Compiler Cache section](#compiler-cache-ccache) below). On first builds, ccache populates its cache. Subsequent builds with the same compiler flags can be significantly faster.
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<hr/>
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@@ -298,8 +298,6 @@ To link against the runtime from outside of the CMake ecosystem, the runtime can
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`-Wl,-force_load` or `-Wl,--whole-archive`. It contains load-time functions
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that automatically register the kernels, but linkers will often prune those
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functions by default because there are no direct calls to them.
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`libportable_kernels.a`, so the program may use any of the operators it
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implements.
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Backends typically introduce additional targets. See backend-specific documentation for more details.
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@@ -352,7 +350,9 @@ To use the ExecuTorch runtime from native Android C++ code, the runtime can be c
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For direct cross-compilation, the ExecuTorch runtime can be configured to build with the NDK toolchain:
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```bash
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# point -DCMAKE_TOOLCHAIN_FILE to the location where ndk is installed
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