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AI & LLM Engineering · microsoft/onnxruntime
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Explains why editing CUTLASS fused-MHA headers in ONNX Runtime can leave stale CUDA kernels after an incremental build, and how to force and verify a real rebuild. | microsoft/ | 22k | — | ~1.3k | Automated safety check: Pass | MIT | today |
| 2 | Builds ONNX Runtime from source with its build scripts, explaining the update, build and test phases, key flags and where the build output lands. | microsoft/ | 22k | — | ~1.4k | Automated safety check: Pass | MIT | today |
| 3 | Shows how to replace unsafe hasattr and setattr loops over user-controlled kwargs with an explicit allowlist when configuring ONNX Runtime option objects. | microsoft/ | 22k | — | ~737 | Automated safety check: Pass | MIT | today |
| 4 | Shows how to build and run ONNX Runtime WebGPU provider tests on Linux with no GPU, using the Mesa lavapipe software Vulkan adapter, and where that approach falls short. | microsoft/ | 22k | — | ~1.4k | Automated safety check: Pass | MIT | today |
| 5 | Patterns and pitfalls for the ONNX-domain Attention operator's CUDA implementation in ONNX Runtime: dispatch cascade, eligibility limits, mask and bias kernels, and test routing. | microsoft/ | 22k | — | ~6.5k | Automated safety check: Pass | MIT | today |
| 6 | A checklist for upgrading the pinned ONNX version and opset in ONNX Runtime, covering the files to change, archive hashes, patch rebasing and release-candidate handling. | microsoft/ | 22k | — | ~12k | Automated safety check: Pass | MIT | today |