Summary
通用 PyTorch 项目 Ascend NPU 迁移可行性分析。系统化扫描代码库中的 CUDA/GPU 依赖，按 7 大域分类评估（设备层、注意力机制、自定义算子、分布式通信、精度策略、第三方依赖、编译加速），并基于 Wan2.2 实际迁移经验提供逐项替代方案。适用于评估任何 DiT/Transformer…
ascend-ai-coding/awesome-ascend-skills
ascend-migration-analysis
通用 PyTorch 项目 Ascend NPU 迁移可行性分析。系统化扫描代码库中的 CUDA/GPU 依赖，按 7 大域分类评估（设备层、注意力机制、自定义算子、分布式通信、精度策略、第三方依赖、编译加速），并基于 Wan2.2 实际迁移经验提供逐项替代方案。适用于评估任何 DiT/Transformer 类模型（视频生成、LLM、多模态等）在昇腾 NPU 上的运行可行性与迁移工作量估算。
Installation
$
npx skills add https://github.com/ascend-ai-coding/awesome-ascend-skills
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Other skills from ascend-ai-coding/awesome-ascend-skills · top by installs.
npx skills add https://github.com/ascend-ai-coding/awesome-ascend-skills
More details
Agent compatibility
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Claude Code
Not declared
Cursor
Not declared
Codex
Not declared
GitHub Copilot
Not declared
Windsurf
Not declared
Gemini CLI
Not declared
Cline
Not declared
OpenCode
Not declared
Repository health
Stars
168
Default branch
main
Open issues
14
Status
Active
History
- First seen on skills.sh
- First recorded snapshot · 10 installs