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triton-cuda-error-fix

Fix Triton-CUDA code generation errors using libdevice-based corrections.

6|1|Updated Apr 19, 2026
Search Tags:#debugging#code-generation#cuda#triton#error-fix#kernel-development
One-click install
npx skills add https://github.com/xchang1121/AutoResearch-CC-hook --skill triton-cuda-error-fix
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: triton-cuda-error-fix
Source: https://github.com/xchang1121/AutoResearch-CC-hook/tree/main/skills/triton-cuda/evolved/triton-cuda-error-fix
Command: npx skills add https://github.com/xchang1121/AutoResearch-CC-hook --skill triton-cuda-error-fix

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides practical guidance and code-level fixes to common Triton CUDA errors encountered during code generation, helping developers produce correct kernels and reduce debugging time.

Core Features & Use Cases

  • Guided fixes: Step-by-step methods to resolve frequent Triton CUDA issues such as function calls, library imports, and kernel launches.
  • Real-world examples: Concrete before/after snippets showing how to apply fixes in typical projects.
  • Use Case: When a generation yields errors like AttributeError: module 'triton.language' has no attribute 'tanh', you can apply the libdevice-based approach to correct the call sites.

Quick Start

Apply the libdevice-based fix to a failing Triton CUDA kernel to resolve common attribute errors.

Frequently Asked Questions about triton-cuda-error-fix

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fix Triton CUDA errors like AttributeError: module 'triton.language' has no attribute 'tanh' during kernel development?▼

Fix Triton CUDA attribute errors during kernel development by applying the libdevice-based approach to correct call sites. This skill provides step-by-step guidance and before/after code snippets to resolve common Triton API integration issues.

What is the best way to resolve libdevice integration issues in Triton kernel code generation?▼

The best way to resolve libdevice integration issues in Triton kernel code generation is applying safe code-wrapping patterns. This requires understanding the Triton API and libdevice usage to correctly modify function calls and library imports.

Why does my Triton kernel fail to launch after code generation, and how can I debug it?▼

Triton kernel launches fail after code generation due to incorrect function calls or library imports. Debug these errors using guided fixes that address common CUDA backend issues with concrete before/after code snippets.

Do I need to understand the Triton API and libdevice usage to fix CUDA backend errors?▼

Yes, fixing Triton CUDA backend errors requires understanding the Triton API, libdevice usage, and safe code-wrapping patterns. This knowledge is necessary to apply the step-by-step methods for resolving kernel development issues.

Can I use this skill to fix Triton CUDA errors for any type of kernel project?▼

You can use this skill to fix Triton CUDA errors across typical kernel projects by applying provided before/after snippets. It targets common backend issues like function calls and library imports encountered during code generation.

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