webgpu-local-testing Skill
Build and run ONNX Runtime WebGPU provider tests on Linux WITHOUT a real GPU, using a software Vulkan adapter (Mesa lavapipe). Use when you need to exercise WebGPU EP kernels off-Mac — the Linux webgpu CI leg is build-only, so software Vulkan is how you actually run WebGPU correctness tests locally. SCOPE - lavapipe on Published by microsoft in onnxruntime.
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Testing, Includes SKILL.md, Reusable instructions
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Copy skill directory
2 months ago · MIT license
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What is webgpu-local-testing Skill?
Build and run ONNX Runtime WebGPU provider tests on Linux WITHOUT a real GPU, using a software Vulkan adapter (Mesa lavapipe). Use when you need to exercise WebGPU EP kernels off-Mac — the Linux webgpu CI leg is build-only, so software Vulkan is how you actually run WebGPU correctness tests locally. SCOPE - lavapipe on Published by microsoft in onnxruntime. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Testing use cases
Declared skill metadata
- Source file: .agents/skills/webgpu-local-testing/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use webgpu-local-testing Skill
- Use it for testing.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/onnxruntime
- Skill file: .agents/skills/webgpu-local-testing/SKILL.md
What it does
Build and run ONNX Runtime WebGPU provider tests on Linux WITHOUT a real GPU, using a software Vulkan adapter (Mesa lavapipe). Use when you need to exercise WebGPU EP kernels off-Mac — the Linux webgpu CI leg is build-only, so software Vulkan is how you actually run WebGPU correctness tests locally. SCOPE - lavapipe on
Skill instructions
Running ONNX Runtime WebGPU Tests Locally on Linux (No GPU) Reusable knowledge for exercising the WebGPU execution provider on a Linux box with no physical GPU. Scope: Linux ORT WebGPU only. macOS uses the Metal backend and a real GPU; this skill is the off-Mac story for running WebGPU EP kernels in CI-less dev loops. 1. Why software Vulkan is enough On Linux, ORT's WebGPU EP runs on Dawn with the Vulkan backend. Vulkan does not require a hardware GPU — Mesa lavapipe is a software (CPU) Vulkan adapter that Dawn enumerates like any other device. For EP correctness tests this is sufficient because: - Many host-side validation paths (shape/broadcast checks, ORTENFORCEs) fire before any shader is dispatched. E.g. the WebGPU broadcast ORTENFORCE runs host-side, so the failure is observable on a software adapter without ever touching the GPU. - Element-wise and broadcasting kernels that do dispatch run correctly (if slowly) on lavapipe, so their numeric output can be validated against the CP
Verified compatibility and discovery
Frequently asked questions
What is webgpu-local-testing?
webgpu-local-testing is a open-source AI agent skill with Copy skill directory. Build and run ONNX Runtime WebGPU provider tests on Linux WITHOUT a real GPU, using a software Vulkan adapter (Mesa lavapipe).
Who is webgpu-local-testing best for?
webgpu-local-testing is best for reusing agent instructions, scripts, and references, testing workflows.
How do I install webgpu-local-testing?
Install or run webgpu-local-testing using Copy skill directory. Check webgpu-local-testing for the latest setup command.
Is webgpu-local-testing actively maintained?
webgpu-local-testing may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
