ascend-ai-codingascend-ai-coding/awesome-ascend-skills/skills/profiling/pytorch-profiling-collection/SKILL.mdpytorch-profiling-collection
Skill177 starsChanged 8 months agoNo licenceView on GitHub
使用 torch_npu.profiler 在非 MindSpeed-LLM 与非 MindSpeed-MM 的训练/推理脚本中采集 Ascend NPU Profiling 数据。覆盖 level0/level1/level2 采集级别、训练循环/单次推理/指定代码段三种方式，支持 .py 和 .sh 脚本路径。当用户需要性能采集、性能分析、查看算子耗时、定位训练瓶颈时使用。触发关键词：profiling、性能采集、性能分析、算子耗时、瓶颈定位、torch_npu.profiler。
In this repository40 other files it gives its agents.
- AGENTS.mdAGENTS.md
- create-prSkill
- skill-creatorSkill
- gitcode-merge-flowSkill
- github-issue-rcaSkill
- github-issue-summarySkill
- tech-docs-guardSkill
- vllm-daily-pr-issue-trackerSkill
- ai-for-science-ai4s-mainSkill
- ai-for-science-ai4s-profilingSkill
- ascend-avi-vnpuSkill
- ascend-dmiSkill
- ascend-dockerSkill
- npu-docker-launcherSkill
- npu-smiSkill
- remote-npu-testSkill
- remote-server-guideSkill
- torch_npuSkill
- ais-benchSkill
- ascend-migration-analysisSkill
- atc-model-converterSkill
- inferencex-reportSkill
- migration-ascend-torchnpu-skillsSkill
- npu-torchair-inferSkill
- vllm-ascend-serverSkill
- vllm-ascendSkill
- vllm-bench-serveSkill
- wan-ascend-adaptationSkill
- ascendcSkill
- ascend-oppluginSkill
- npu-op-benchmarkSkill
- triton-ascend-migrationSkill
- mindspeed-llm-train-profilerSkill
- mindspeed-mm-train-profilerSkill
- profiling-analysisSkill
- training-mfu-calculatorSkill
- hccl-testSkill
- rl-msprobeSkill
- torch-npu-comm-testSkill
- verl-quickstartSkill
The file
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.