paddle-eager-graph
Use when navigating Paddle eager-mode (dynamic graph) source code, tracing forward/backward execution, debugging autograd issues, understanding PyLayer, or investigating complex-valued gradient computation. Covers Python API to C++ kernel call chain, backward graph topology sort, and inplace version tracking.
· 实时索引
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
想先保存到本地？可下载 RuleHub 当前索引到的 GitHub 仓库压缩包。
下载 Zip| name | paddle-eager-graph |
| description | Use when navigating Paddle eager-mode (dynamic graph) source code, tracing forward/backward execution, debugging autogra... |
paddle-eager-graph
Use when navigating Paddle eager-mode (dynamic graph) source code, tracing forward/backward execution, debugging autograd issues, understanding PyLayer, or investigating complex-valued gradient computation. Covers Python API to C++ kernel call chain, backward graph topology sort, and inplace version tracking.
When to use
Use this skill when the user needs help with tasks related to paddle eager graph.
Guidelines
- Follow repository conventions in
PaddlePaddle/Paddle - Prefer minimal, focused changes
- Validate outputs before finishing