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.
Source facts
- Repository
- PaddlePaddle/Paddle
- Last source activity
- July 25, 2026 at 17:07
- Detected SKILL.md language
- English
- Stars
- 24,064
- Forks
- 6,022
Install options
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Review the source files
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
