Menu
examples/profiler 目录的完整生成 skill：torch.profiler 性能剖析，导出 Chrome trace 供 Perfetto 可视化。
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
A direct command skips the review prompt. Inspect the source before running it.
npx skills add https://github.com/ZhangXin8069/PyQCU --skill profilerThe command stays on one line. Scroll horizontally to inspect it before copying.
Prefer a local copy? Download the files currently available to SkillsMP.
PyQCU 性能基准 skill：覆盖 examples/benchmark 的通用基准，以及 dev87 strict MultiGrid 对 QUDA 的可复现公平计时与显存口径。
pyqcu.cuda 目录的完整生成 skill：C++ CUDA 后端（libqcu.so）的 Cython 桥接包；含 strict QUDA-style MultiGrid、params/argv/set_ptrs 参数协议与显存生命周期约束。
cpp/cuda/qcu/include 目录的完整生成 skill：26 个模板化 CUDA 头文件（内核内联），define.h 须镜像 pyqcu/cuda/define.py。
Showing SKILL.md
| name | profiler |
| description | examples/profiler 目录的完整生成 skill：torch.profiler 性能剖析，导出 Chrome trace 供 Perfetto 可视化。 |
Performance profiling with torch.profiler. Exports Chrome trace format for visualization in Perfetto.
| File | What it profiles |
|---|---|
conftest.py | Main profiler entry |
conftest.cpu.py | CPU profiling |
conftest.cuda.py | CUDA GPU profiling |
conftest.npu.py | NPU profiling |
Uses torch.profiler.profile(...) with record_shapes=True, with_modules=True, with_flops=True.
cd examples/profiler && mpirun -np 1 python -u conftest.py
# Load resulting trace_*.json into https://ui.perfetto.dev