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Msabih
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building

Automate ExecuTorch source builds across Python, C++, runners, and backends.

Updated Apr 30, 2026
Search Tags:#build#packaging#environment#diagnostics#cmake#runners#cross-compilation
One-click install
npx skills add https://github.com/Msabih/executorch --skill building-msabih
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: building
Source: https://github.com/Msabih/executorch/tree/main/.claude/skills/building
Command: npx skills add https://github.com/Msabih/executorch --skill building-msabih

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build ExecuTorch from source across Python packaging, C++ runtime, runners, and backends, enabling reproducible builds and platform-specific deployments.

Core Features & Use Cases

  • End-to-end source build: Python package installation, C++ runtime, and runner binaries
  • Cross-platform preparation: Android, iOS/macOS frameworks, and Linux backends
  • Diagnostics and setup: guided checks to diagnose and fix common build failures
  • Use case: setting up a clean development environment for a new machine to compile ExecuTorch for a target platform

Quick Start

Run the built-in installer to configure and perform a platform-specific build of ExecuTorch.

Frequently Asked Questions about building

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build ExecuTorch from source for C++ runtime and Python packaging?▼

Building ExecuTorch from source requires satisfying prerequisite checks, setting up the environment via conda or virtualenv, running CMake configurations, and synchronizing submodules to compile Python packaging and C++ runtime.

Can I cross-compile ExecuTorch for Android and iOS frameworks?▼

Cross-compiling ExecuTorch is supported for mobile targets, enabling platform-specific preparation for Android, iOS/macOS frameworks, and Linux backends.

What is the best way to set up a clean development environment for ExecuTorch compilation?▼

Setting up a clean development environment for ExecuTorch compilation involves running a built-in installer to configure prerequisites, establish conda or virtualenv environments, and execute platform-specific builds.

Why does my CMake configuration fail when building ExecuTorch from source?▼

CMake configuration failures when building ExecuTorch from source typically result from missing prerequisites or misconfigured environments, which can be diagnosed using guided checks to fix platform-specific issues.

Does ExecuTorch source build work on Windows and macOS?▼

The ExecuTorch source build supports macOS, Linux, and Windows targets, allowing developers to configure reproducible builds and execute platform-specific deployments.

Do I need conda or virtualenv to compile the ExecuTorch Python package?▼

Using conda or virtualenv is necessary for environment setup to compile the ExecuTorch Python package, ensuring proper dependency isolation and satisfying prerequisite checks.

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