ort-build
microsoft/onnxruntime/.github/skills/ort-build/SKILL.md
Build ONNX Runtime from source. Use this skill when asked to build, compile, or generate CMake files for ONNX Runtime.
Skill22k starsChanged 41 days ago
--- name: ort-build description: Build ONNX Runtime from source. Use this skill when asked to build, compile, or generate CMake files for ONNX Runtime. --- # Building ONNX Runtime The build scripts `build.sh` (Linux/macOS) and `build.bat` (Windows) delegate to `tools/ci_build/build.py`. ## Build phases Three phases, controlled by flags: - `--update` — generate CMake build files - `--build` — compile (add `--parallel` to speed this up) - `--test` — run tests For native builds, if none are specified (and `--skip_tests` is not passed), **all three run by default**. For cross-compiled builds, the default is `--update` + `--build` only. ### When to use `--update` You need `--update` when: - First build in a new build directory - New source files are added (some CMake targets use glob patterns, others use explicit file lists — re-run to pick up new files either way) - CMake configuration changes (new flags, updated CMakeLists.txt) You do **not** need `--update` when only modifying existing `.cc`/`.h` files — just use `--build`. Skipping it saves time. ## Examples ```bash # Full build (update + build + test) ./build.sh --config Release --parallel .\build.bat --config Release --parallel # Windows # Just regenerate CMake files ./build.sh --config Release --update # Just compile (skip CMake regeneration and tests) ./build.sh --config Release --build --parallel # Just run tests (after a prior build) ./build.sh --config Release --test # Build with CUDA execution provider ./build.sh --config Release --parallel --use_cuda --cuda_home /usr/local/cuda --cudnn_home /usr/local/cuda # Configure and build the WebGPU execution provider as a shared library (Windows) .\build.bat --config RelWithDebInfo --build_dir .\build\WGPU --use_webgpu --build_shared_lib --update --build --parallel # Incrementally rebuild the same WebGPU configuration after changing existing source files .\build.bat --config RelWithDebInfo --build_dir .\build\WGPU --use_webgpu --build_shared_lib --build --parallel # Build Python wheel ./build.sh --config Release --parallel --build_wheel # Build a specific CMake target (much faster than a full build) ./build.sh --config Release --build --parallel --target onnxruntime_common # Load flags from an option file (one flag per line) ./build.sh "@./custom_options.opt" --build --parallel ``` ## Key flags | Flag | Description | |------|-------------| | `--config` | `Debug`, `MinSizeRel`, `Release`, or `RelWithDebInfo` | | `--parallel` | Enable parallel compilation (recommended) | | `--skip_tests` | Skip running tests after build | | `--build_wheel` | Build the Python wheel package | | `--use_cuda` | Enable CUDA EP. Requires `--cuda_home`/`--cudnn_home` or `CUDA_HOME`/`CUDNN_HOME` env vars. On Windows, only `cuda_home`/`CUDA_HOME` is validated. | | `--target T` | Build a specific CMake target (requires `--build`; e.g., `onnxruntime_common`, `onnxruntime_test_all`) | | `--use_webgpu` | Enable WebGPU EP. To run its tests locally on Linux without a GPU, see the `webgpu-local-testing` skill. | | `--cmake_extra_defines onnxruntime_QUICK_BUILD=ON` | Faster CUDA build: instantiates a reduced kernel set. **Side effect:** Flash is compiled for head_dim 128 only, so most attention shapes fall back to **MEA** (changes which attention kernel is compiled/dispatched). Don't use it to characterize Flash-vs-arch behavior. | | `--build_dir` | Build output directory | ## Build output path Default: `build/<Platform>/<Config>/` where Platform is `Linux`, `MacOS`, or `Windows`. With Visual Studio multi-config generators, the config name appears twice (e.g., `build/Windows/Release/Release/`). It may be customized with `--build_dir`. For example, `--build_dir .\build\WGPU --config RelWithDebInfo` creates the CMake build tree at `build/WGPU/RelWithDebInfo/`; Visual Studio places final binaries in its `RelWithDebInfo/` subdirectory. The `--build_shared_lib` flag in the WebGPU example is optional and is only needed when building the ONNX Runtime DLL. ## Agent tips - **Activate a Python virtual environment** before building. See "Python > Virtual environment" in `AGENTS.md`. - **Build flags can silently reroute which kernel/code path executes.** A build option can change *which* kernel is compiled, and therefore which code path actually runs — so a CI failure can live in a different code path than your local build exercises. Before hypothesizing a hardware- or algorithm-specific cause (e.g. "this GPU arch miscomputes"), first identify **which kernel actually ran** for the failing configuration (see the `ort-test` skill → "Verify which path/kernel actually executed"). Concrete instance: `onnxruntime_QUICK_BUILD=ON` compiles FlashAttention for head_dim 128 only, so most attention shapes silently dispatch to Memory-Efficient Attention instead of Flash — details in the `cuda-attention-kernel-patterns` skill. - **Prefer `python tools/ci_build/build.py` directly** over `build.bat`/`build.sh` when redirecting output. The `.bat` wrapper runs in `cmd.exe`, which breaks PowerShell redirection. - **Redirect output to a file** (e.g., `> build_log.txt 2>&1`). Build output is large and will overflow terminal buffers. - **Run builds in the background** — a full build can take tens of minutes to over an hour. Poll the log for `"Build complete"` or errors. - **Use `--parallel`** by default unless the user says otherwise. - Ask the user what they want to build (config, execution providers, wheel, etc.) if not clear from their prompt.
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