This directory contains the packaging source for the onnxruntime-ep-webgpu Python package.

• Python 3.11+
• Pre-built WebGPU plugin EP binaries (from CI or a local build)

Install build dependencies:

pip install -r requirements-build-wheel.txt

Wheels are built via build_wheel.py. Running pip install or pip wheel directly against this directory is not supported — the source tree contains pyproject.toml.in (a template), not a real pyproject.toml.

The wheel is platform-specific. Each platform's wheel is built from binaries produced on that platform — build_wheel.py does not cross-build. See the bundled wheel readme for the list of supported platforms.

python build_wheel.py --binary_dir <path-to-built-binaries> --version <PEP-440-version> --output_dir <output-directory>

Example:

python build_wheel.py --binary_dir ./build/Release --version 0.1.0.devYYYYMMDD --output_dir ./dist

The script combines the pre-built plugin EP binaries with the package source to produce a platform-specific wheel.

Install the wheel and dependencies in a clean environment, then run the smoke test:

python -m venv test_venv
source test_venv/bin/activate  # or test_venv\Scripts\Activate.ps1 on Windows
pip install onnx numpy onnxruntime
pip install dist/onnxruntime_ep_webgpu-*.whl
python test/test_webgpu_plugin_ep.py

onnx and numpy are required only by the smoke test, not by the onnxruntime-ep-webgpu wheel itself. The wheel's only runtime dependency is a compatible onnxruntime (see ../MIN_ONNXRUNTIME_VERSION).

The test validates import, EP registration, device discovery, and inference (requires WebGPU-capable hardware for the inference portion). Set the environment variable ORT_TEST_VERBOSE=1 to print additional diagnostic information (environment, available providers, discovered devices, etc.).

The package version is derived from ../VERSION_NUMBER by the packaging pipeline (see set-plugin-ep-build-variables-step.yml), which produces a PEP 440 version string.