TritonParse v0.2.0 Release 🎉

TritonParse Release Notes (last 27 commits)

• Date range: 2025-07-25 — 2025-09-11
• Scope: Core library, website UI/UX, performance & scalability, CI/CD & packaging, documentation & maintenance.

Highlights

• PyPI package: TritonParse has been added to PyPI and can be installed by pip install tritonparse!
• Website usability: Drag-and-drop to open logs; one-click copy in code viewers; sticky, compact kernel selector; footer shows app version, localized build date, and Git short SHA; tensor arguments in Launch Analysis now display concise summaries with expandable details.
• Large-file parsing: Streaming NDJSON parsing and robust gzip handling significantly reduce memory usage and improve stability for files >100 MB.
• Core & integrations: Persist Inductor kernel config into inductor_metadata and pass to JIT hooks; ensure Inductor path invokes jit_post_compile_hook; new init_with_env for environment-based initialization; move compilation timing times into metadata for automatic frontend rendering.
• Releases & versioning: Adopt setuptools-scm dynamic versioning; add Nightly PyPI publishing; enable stable publishing on tag push; fix nightly version potentially being older than stable; correct packaging license metadata.
• CI stability: Ubuntu 24.04 compatibility; improved CUDA/cuDNN setup and detection; parallelize jobs; add parallel CI for pip-installed Triton; better error visibility in install scripts; upgrade libstdc++.

Changes by area

• Core library

  • Save Inductor kernel params to inductor_metadata and forward to JIT hooks.
  • Manually invoke jit_post_compile_hook in the Inductor Triton compile path.
  • Add init_with_env that reads TRITON_TRACE_FOLDER and TRITON_TRACE_LAUNCH.
  • Move compilation times into metadata so the frontend auto-renders it.
  • Use cached source in compile listener for stability.
  • Refactor source-mapping pipeline into modular units for maintainability.

• Website UI/UX

  • Drag-and-drop to open supported log files.
  • Copy button in code viewer panels.
  • Sticky/collapsible/compact kernel selector in Kernel Overview; resizable compilation stack trace vertically.
  • Launch Analysis: tensor args show concise summaries with expandable details.
  • Footer displays version, localized build date, and Git short SHA.
  • Streaming NDJSON parsing and improved error handling for large logs.

• Performance & scalability

  • Use streaming path for files >100 MB to reduce memory peaks and improve robustness.

• CI/CD & packaging

  • Enable setuptools-scm and nightly PyPI publishing.
  • Publish stable releases on tag push; improve version computation and tag detection.
  • Fix nightly version possibly lagging behind stable; add clear error on missing tags.
  • Add parallel CI for pip-installed Triton; recommend pip installation in docs.
  • Improve Ubuntu 24.04 setup, CUDA/cuDNN handling, and job parallelism.
  • Increase error visibility in install scripts and upgrade libstdc++.
  • Define lower bounds for prerequisites in pyproject.toml.

• Docs & maintenance

  • Move repository to meta-pytorch org; update links and guidance; add AI assistant context.
  • Update/restore CONTRIBUTING docs to avoid breaking downstream consumers.

• Testing

  • Preserve test outputs when TEST_KEEP_OUTPUT=1 to aid debugging.

Compatibility notes

• Versioning & publishing: setuptools-scm with tag-based stable releases and nightly dev versions. Ensure PYPI_API_TOKEN is configured in CI if publishing is intended.
• Data format: compilation timing times moved under metadata; update any downstream scripts that referenced the old location.
• Build metadata: footer shows localized build date and Git short SHA; restart dev server to refresh these values.

Upgrade guidance

• Prefer Triton from PyPI (≥ 3.4.0) and adhere to the lower bounds declared in pyproject.toml.
• For deterministic build metadata in the website, set BUILD_DATE and GIT_COMMIT_SHA_SHORT in the environment when running dev/build.