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pfcclab/paddle-skills · Archived

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.

Installation

$ npx skills add pfcclab/paddle-skills --skill paddle-eager-graph
View on skills.sh ↗ GitHub repository ↗

Summary

  • 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.

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Also in this package

Other skills from pfcclab/paddle-skills.

npx skills add pfcclab/paddle-skills
paddle-pull-request 31 paddle-debug 25

Browse all from pfcclab/paddle-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 3
Default branch main
Open issues 1
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,862 B
  • docs SUMMARY.md 336 B

History

  1. First recorded snapshot · 5 installs

SKILL.md

Paddle 动态图（Eager Mode）导航索引

Paddle 动态图边执行边建图：前向执行时构建反向图，调用 backward() 时按拓扑序执行反向图。

前向调用链路

Python paddle.add(x, y)
  │
  ▼
① ops_api.cc          ─ Python-C 映射，GetTensorFromArgs 提取 Tensor
  ▼
② eager_op_function.cc ─ 参数解析 / Dist Tensor / 释放 GIL / backend 选择
  ▼
③ dygraph_functions.cc ─ AMP / Type Promotion / 创建 GradNode / 构建反向图
  ▼
④ api.cc              ─ KernelKey 构造 / Kernel 选择 / PrepareData / InferMeta
  ▼
⑤ PHI Kernel 执行

关键文件表

层级 代码路径 代码生成器
① Python-C 映射 paddle/fluid/pybind/ops_api.cc opsapigen.py
② 动态图 C++ 接口 paddle/fluid/pybind/eageropfunction.cc pythoncgen.py
③ 自动微分函数 paddle/fluid/eager/api/generated/.../dygraph_functions.cc eager_gen.py
④ PHI 算子库接口 paddle/phi/api/lib/api.cc tensoroperantsgen.py

反向关键数据结构

数据结构 一句话描述
AutogradMeta Tensor 持有的反向元信息：梯度、来源 GradNode、slot/rank 位置
GradNodeBase 反向节点基类，纯虚 operator() 执行反向计算
GradSlotMeta 描述 GradNode 某个 slot 的 meta 信息与出边 Edge
Edge 指向后继 GradNode 的边，含 inslotid 和 inrank_
TensorWrapper GradNode 中保存前向 Tensor 的包装器，含 inplace 版本快照
GradTensorHolder 反向执行期间临时存放与聚合梯度的二维 buffer

调试场景速查

调试场景 阅读哪个参考文档
前向调用链路 / Kernel 选择问题 [forward-call-chain.md](references/forward-call-chain.md)
反向梯度不正确 / 拓扑排序问题 [backward-execution.md](references/backward-execution.md)
数据结构成员 / 内存泄漏排查 [autograd-data-structs.md](references/autograd-data-structs.md)
自定义反向 PyLayer [pylayer.md](references/pylayer.md)
复数梯度 / Wirtinger 导数 [complex-autograd.md](references/complex-autograd.md)
Inplace 操作 / 版本追踪 [inplace.md](references/inplace.md)

社区资料（L3 层）