debuggingtools
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.
maintainer
PaddlePaddle
Updated 3/26/2026
Stars
23809
Forks
5982
quick start
Installation and usage
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.
Installation
$ install --globalskills.sh
Usage
Once installed, you can use this skill by running the following command in your terminal:
skills use paddle-eager-graph