tilegym-converting-cutile-to-triton

cuTile → Triton Conversion Convert @ct.kernel kernels to @triton.jit . API mapping: references/api-mapping.md (cuTile → Triton). In this skill’s Markdown, Triton launch syntax kernel［grid］(…) uses Unicode brackets so link checkers do not parse grid as a hyperlink; use normal ASCII brackets in real Triton code. Instructions Follow the phase-gated workflow in translations/workflow.md . Every conversion should go through analyze → convert → validate → test → benchmark , with explicit gates before moving on. Use the documents in Workflow Selection when the task matches a special case (errors, layout flags, perf). Optimization strategy (perf-sensitive / attention) — If the op is attention, FMHA, sliding window, soft cap, or GQA (e.g. Gemma gemma_attention ), read references/optimization-strategy.md before converting the inner loop, then apply §4 Gemma FMHA checklist . For other GEMM/BMM/attention-adjacent kernels, still skim §2–§3 of that file after TMA is done. Select path — Existing TileGym op: standard mode in translations/workflow.md . If the cuTile source uses transpose / transpose_v , dual layouts, or MLA-style paths, read translations/advanced-patterns.md before writing Triton (two kernels + META grid, not one kernel + tl.trans ). Pre-flight — Run the Pre-flight Analysis grep commands on the cuTile source. Count @ct.kernel definitions; note TMA-relevant ct.load / ct.store , ct.launch , Constant , and layout flags. Read mapping — Keep references/api-mapping.md open for cuTile → Triton API pairs. For runtime failures (illegal address, dtype, strides), use references/debugging.md . Convert — Copy the Conversion Checklist into a todo list and execute in order. Structure and file placement: translations/file-structure.md . Mandatory: any 2D+ block-shaped tile load/store uses tl.make_tensor_descriptor (TMA), not raw tl.load(ptr+offs, mask=…) for full tiles—skipping this is the most common source of large regressions. Host side: Triton bracket launch kernel［grid］(args) with tuple or lambda META: (…) for autotune; no ct.launch . Show more Installs 606 Repository nvidia/skills GitHub Stars 2.1K First Seen Jun 11, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Warn