Compile ExecuTorch from source across Linux, macOS, and mobile targets.
npx skills add https://github.com/huahai2022/execu-xnnpack --skill building-huahai2022
Please help me install this Agent Skill. Skill: building Source: https://github.com/huahai2022/execu-xnnpack/tree/main/.claude/skills/building Command: npx skills add https://github.com/huahai2022/execu-xnnpack --skill building-huahai2022
Build ExecuTorch from source — Python package, C++ runtime, runners, cross-compilation, and backend-specific builds. Use when compiling anything in the ExecuTorch repo, diagnosing build failures, or setting up platform-specific builds.
Run the build script after preparing the Python environment to compile ExecuTorch from source.
High-intent search queries and answers about installing and using this skill.
Build ExecuTorch from source by setting up the Python environment and running the build script to compile the Python package, C++ runtime, runners, and backends for Linux, macOS, and mobile targets.
Cross-compile ExecuTorch for mobile targets by configuring the C++ toolchain and applying cross-compilation steps with specific backend flags to produce mobile-specific runtimes and runners.
ExecuTorch build failures during backend customization often stem from incorrect backend flag configurations; diagnose build failures by verifying backend-specific runtime settings and validating C++ toolchain setup.
CMake supports building ExecuTorch backends on Linux and macOS by configuring the C++ toolchain to compile backend-specific runtimes and runners across cross-platform development targets.
Set up the Python environment for an ExecuTorch source build by installing required dependencies, then execute the build script to compile the Python package and C++ runtime components.
MsabihAutomate ExecuTorch source builds across Python, C++, runners, and backends.
limaonOrchestrate backend architecture, implementation, and DevOps workflows.
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Binh230199Review and generate modern target-based CMake for embedded C and C++ build systems.
