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tilegym-converting-cutile-to-triton
Converts cuTile GPU kernels (@ct.kernel) to Triton (@triton.jit). Handles standard in-repo conversion, debugging (cudaErrorIllegalAddress, shape mismatch, numerical mismatch), and mapping cuTile idioms (ct.load/ct.store, ct.Constant, ct.launch) to Triton equivalents. Covers dual-kernel layout flags (e.g. transpose=True/False + autotune grid via META) per translations/advanced-patterns.md. Use when converting, porting, or translating cuTile kernels to Triton, or debugging existing Triton translat
3,607stars447forksUpdated 10/16/2026
Security Assessment
Safe(100/100)
Security Score100/100
Detailed description not yet generated. View the SKILL.md tab for raw content.
All Files
25 filesBENCHMARK.md3.8 KB
Viewexamples/01_vector_add/triton_kernel.py3.3 KB
Viewexamples/01_vector_add/cutile_kernel.py3.8 KB
Viewexamples/02_softmax/triton_kernel.py8.7 KB
Viewexamples/04_matmul/cutile_kernel.py6.8 KB
Viewexamples/05_attention/triton_kernel.py17.5 KB
Viewreferences/gotchas.md4.1 KB
Viewreferences/optimizing-reference.md23.3 KB
ViewSKILL.md16.5 KB
Viewevals/evals.json5.3 KB
Viewexamples/02_softmax/cutile_kernel.py4.9 KB
Viewexamples/03_layernorm/triton_kernel.py11.7 KB
Viewexamples/05_attention/cutile_kernel.py7.8 KB
Viewreferences/debugging.md11.3 KB
Viewreferences/optimization-strategy.md7.7 KB
Viewreferences/performance-gotchas.md2.3 KB
Viewskill.oms.sig9.4 KB
Viewtranslations/advanced-patterns.md7.9 KB
Viewexamples/03_layernorm/cutile_kernel.py10.6 KB
Viewexamples/04_matmul/triton_kernel.py13.3 KB
Viewreferences/api-mapping.md16.8 KB
Viewreferences/harness-integration.md5.4 KB
Viewskill-card.md4.3 KB
Viewtranslations/workflow.md25.3 KB
Viewtranslations/file-structure.md2.8 KB
ViewInstall tilegym-converting-cutile-to-triton
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
nvidia/skills