ascendc
OfficialGuide AscendC transformer op development.
Authorascend-ai-coding
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Developing AscendC transformer operators is complex and error-prone; this Skill provides a structured, pattern-based guide to build host/kernel interfaces, tiling, shape inference, and CANN examples for AscendC operators.
Core Features & Use Cases
- Templates and best practices for AscendC operator development across FFN, GMM, and MoE variants.
- Clear guidance on aligning op_host definitions, op_kernel implementations, tiling/infershape logic, and CANN examples with existing references.
- Scaffolding support for the end-to-end workflow from frontmatter-driven discovery to production-ready operator code.
Quick Start
Use the genop tool in ops-transformer to scaffold a new AscendC operator and implement its host and kernel logic following the provided templates.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ascendc Download link: https://github.com/ascend-ai-coding/awesome-ascend-skills/archive/main.zip#ascendc Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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