microsoft/ort-build
Build ONNX Runtime from source. Use this skill when asked to build, compile, or generate CMake files for ONNX Runtime.
npx skills add https://github.com/microsoft/onnxruntime --skill ort-build
The build scripts build.sh (Linux/macOS) and build.bat (Windows) delegate to tools/ci_build/build.py.
Three phases, controlled by flags:
--update — generate CMake build files--build — compile (add --parallel to speed this up)--test — run testsFor 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.
--updateYou need --update when:
You do not need --update when only modifying existing .cc/.h files — just use --build. Skipping it saves time.
# 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
# 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
| 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 |
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.
AGENTS.md.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.
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.> build_log.txt 2>&1). Build output is large and will overflow terminal buffers."Build complete" or errors.--parallel by default unless the user says otherwise.Take microsoft/ort-build from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.