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tt-forge
tt-forge contains 6 collected skills from tenstorrent, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
File a bug report with a reproducer against Tenstorrent repos (tt-lang, tt-metal, tt-xla)
Set up and verify remote connection to Tenstorrent hardware. Provides tools for running kernels, copying files, and reading logs on remote devices.
TTNN trace capture and replay for eliminating dispatch overhead. Essential for real-time inference and multi-chip performance.
Profile and optimize TT-Lang kernels for performance. Covers auto-profiling, perf summary, signposts, and optimization workflow.
Comprehensive TT-Lang DSL reference including programming model, APIs, hardware constraints, and guides for translating CUDA, Triton, PyTorch, or TTNN kernels
TTNN operations library reference for Tenstorrent hardware. Covers tensor APIs, ops catalog, model conversion from PyTorch, and memory/layout configuration.