pytorch · Agent Skills
出典を確認した実質的な文書を持つ Skill が 8 件あります。カードを開くと原文、パッケージ内容、導入方法を確認できます。
pytorchadd-uint-support
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
- 1時間の導入数
- 2
- GitHub Stars
- 10.5万
- 更新日
- 10月20日
pytorchadd-op-overload
Checklist for adding a new overload (e.g. mm.dtype, addmm.computemode) to an existing ATen op in nativefunctions.yaml. Use before the first rebuild when adding an overload or new kwarg variant of an existing operator, so every rebuild-triggering edit lands in one build and packet-level Python registrations (meta, decompositions, Inductor lowerings, DTensor) don't silently capture the new overload.
- 1時間の導入数
- 1
- GitHub Stars
- 10.5万
- 更新日
- 10月26日
pytorchat-dispatch-v2
Convert PyTorch ATDISPATCH macros to ATDISPATCHV2 format in ATen C++ code. Use when porting ATDISPATCHALLTYPESAND, ATDISPATCHFLOATINGTYPES, or other dispatch macros to the new v2 API. For ATen kernel files, CUDA kernels, and native operator implementations.
- 1時間の導入数
- 1
- GitHub Stars
- 10.5万
- 更新日
- 10月26日
pytorchdocstring
Write docstrings for PyTorch functions and methods following PyTorch conventions. Use when writing or updating docstrings in PyTorch code.
- 1時間の導入数
- 1
- GitHub Stars
- 10.3万
- 更新日
- 9月24日
pytorchmetal-kernel
Write Metal/MPS kernels for PyTorch operators. Use when adding MPS device support to operators, implementing Metal shaders, or porting CUDA kernels to Apple Silicon. Covers nativefunctions.yaml dispatch, host-side operators, and Metal kernel implementation.
- 1時間の導入数
- 1
- GitHub Stars
- 10.3万
- 更新日
- 9月24日
pytorchpyrefly-type-coverage
Migrate a file to use stricter Pyrefly type checking with annotations required for all functions, classes, and attributes.
- 1時間の導入数
- 1
- GitHub Stars
- 10.5万
- 更新日
- 10月26日
pytorchscrub-issue
Fetch, analyze, reproduce, and minimize GitHub issue reproductions. Use only when the user asks to check whether a GitHub issue reproduces, minimize a GitHub issue's repro, analyze a GitHub bug report, or scrub/triage a GitHub issue for reproducibility. Do not use for standalone reproduction requests without a GitHub issue.
- 1時間の導入数
- 1
- GitHub Stars
- 10.5万
- 更新日
- 10月26日
pytorchtriaging-issues
Triages GitHub issues by routing to oncall teams, applying labels, and closing questions. Use when processing new PyTorch issues or when asked to triage an issue.
- 1時間の導入数
- 1
- GitHub Stars
- 10.3万
- 更新日
- 9月24日