en un clic
torch-spyre
torch-spyre contient 8 skills collectées depuis torch-spyre, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Systematic debugging of torch.compile failures on the Spyre backend. Covers each pipeline stage from Dynamo tracing through runtime execution, with diagnostic env vars and common error patterns.
Overview of the torch-spyre repository, Spyre device architecture, compilation pipeline, and codebase structure. Use when asking about how torch-spyre works, the repo layout, Spyre hardware, the Inductor backend, or getting oriented in the codebase.
Generate a daily status update for any squad's Slack workflow. Pulls recent git activity, open PRs, and blockers to produce a formatted update matching the team's standup template.
Check documentation consistency against code changes. Audits supported ops table, RFC links, API docs, compiler docs, runtime docs, profiling, and user/developer guides for staleness or drift.
Review pull requests for the torch-spyre project. Checks license headers, pre-commit compliance, signed commits, tensor layout correctness, test coverage, and documentation.
Upgrade the pinned PyTorch version across torch-spyre and torch-spyre-docs. Use when asked to bump, upgrade, or update the PyTorch dependency. Accepts target version as argument (e.g., '2.13').
Guide for adding new operations to the Spyre backend. Covers direct ATen-to-OpFunc mappings, Spyre-specific decompositions, and custom ops with lowerings. Use when asked to add, implement, or enable a new op on Spyre.
Guide for writing compiled-path operator tests using the ParameterizedTestMeta framework and compare_with_cpu utilities. Use when adding tests for new or existing Spyre ops in tests/_inductor/test_inductor_ops.py.