Search
microsoft/onnxruntime
Skills
Sort:BestMost starsTrending todayTrending this weekTrending this monthNewestRecently updatedName
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Finds and fixes out-of-range output writes in ONNX Runtime operator shape-inference functions where a getNumOutputs guard admits too few outputs. | microsoft/ | 22k | — | ~3.3k | Automated safety check: Pass | MIT | today |
| 2 | 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 |
| 3 | 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 |
| 4 | Triggers, re-runs and unblocks the CI checks on an ONNX Runtime pull request, after diagnosing whether a failure is transient or needs a code change. | microsoft/ | 22k | — | ~4.1k | Automated safety check: Pass | MIT | today |
| 5 | Drafts ONNX Runtime release notes from commit history and contributor metadata using named presets for the full runtime or a scoped component. | microsoft/ | 22k | — | ~1.6k | Automated safety check: Pass | MIT | today |
| 6 | Runs and debugs ONNX Runtime tests: Google Test executables for C++ and unittest or pytest for Python, with filters and build-directory guidance. | microsoft/ | 22k | — | ~1.8k | Automated safety check: Pass | MIT | today |
| 7 | Runs the ONNX Runtime transformers Python tests against a GPU wheel and proves the cuDNN flash attention path was used rather than a silent fallback. | microsoft/ | 22k | — | ~2.9k | Automated safety check: Pass | MIT | today |
| 8 | 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 |
| 9 | 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 |
| 10 | 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 |
| 11 | 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 |
| 12 | Lints and formats C++ and Python code in the ONNX Runtime repository with lintrunner, clang-format and ruff, preferring a pass over only the changed files. | microsoft/ | 22k | — | ~392 | Automated safety check: Pass | MIT | today |
| 13 | Pitfalls for editing an ONNX Runtime header shared by in-tree and plugin-bridge code: the Node forward-declaration trap and keeping workspace math free of graph types. | microsoft/ | 22k | — | ~1.3k | Automated safety check: Pass | MIT | today |
| 14 | Review ONNX Runtime pull requests, branches, commits, patches, and working-tree changes for actionable findings and missing tests. | microsoft/ | 22k | — | ~486 | Automated safety check: Pass | MIT | today |