ONNX Runtime WebGPU Plugin Execution Provider
WebGPU Execution Provider plugin for ONNX Runtime. Install alongside onnxruntime to enable WebGPU
acceleration.
Prerequisites
This package provides the WebGPU plugin EP only. You must separately install an ONNX Runtime package
(e.g. onnxruntime) of version 1.24.4 or later.
If the installed ONNX Runtime is incompatible, the plugin EP will report an error when its library is registered.
Installation
pip install "onnxruntime>=1.24.4"
pip install onnxruntime-ep-webgpu
Usage
import onnxruntime as ort
import onnxruntime_ep_webgpu as webgpu_ep
# Register the plugin EP library with ONNX Runtime
ort.register_execution_provider_library("webgpu", webgpu_ep.get_library_path())
# Discover WebGPU devices
all_devices = ort.get_ep_devices()
webgpu_devices = [d for d in all_devices if d.ep_name == webgpu_ep.get_ep_name()]
# Create a session using the WebGPU EP
sess_options = ort.SessionOptions()
sess_options.add_provider_for_devices(webgpu_devices, {})
session = ort.InferenceSession("model.onnx", sess_options=sess_options)
# Run inference
output = session.run(None, {"input": input_data})
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