pytorch/kineto

Letzte erfasste Quellaktivität: 30. April 2026 um 17:13

SkillsMP-Katalog aktualisiert: 5. November 2026 um 19:57

gesammelte Skills: 1

GitHub-Stars: 997
GitHub-Forks: 272

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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/pytorch/kineto.

README des Repositorys

README-Quelldatei: README.md

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# Kineto > [!IMPORTANT] > Development in this repository is frozen as of September 24, 2026 while Kineto is upstreamed into PyTorch. Please do not open new pull requests here. See [#1571](https://github.com/pytorch/kineto/issues/1571) for the migration timeline and where to submit future changes. Kineto is a library used in the PyTorch Profiler. The Kineto project enables: - **performance observability and diagnostics** across common ML bottleneck components - **actionable recommendations** for common issues - integration of external system-level profiling tools - integration with popular visualization platforms and analysis pipelines The central component of Kineto is Libkineto, a profiling library with special focus on low-overhead GPU timeline tracing. ## Libkineto Libkineto is an in-process profiling library integrated with the PyTorch Profiler. Please refer to the [README](libkineto/README.md) file in the `libkineto` folder as well as documentation on the [new PyTorch Profiler API](https://pytorch.org/docs/master/profiler.html). ## License Kineto has a BSD-style license, as found in the [LICENSE](LICENSE) file.

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kineto-release

Softwareentwickler

Update the third_party/kineto submodule in PyTorch to the latest commit from this kineto repo and commit the change. Use when updating the kineto submodule hash for a release.

Quellsprache: Englisch

2026-04-30

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