external-gitcode-ascend-ascendc-operator-performance-eval
external-gitcode-ascend-ascendc-operator-performance-eval is an MLOps & model serving skill for AI agents, published by ascend-ai-coding in the awesome-ascend-skills repository on GitHub. Skillspace rates external-gitcode-ascend-ascendc-operator-performance-eval C (78/100) and it passed the safety scan; the rating is based on static analysis only.
在 ascend-kernel 的 csrc/ops/<op>/test 下维护仅含 JSONL 的 profiler 性能用例，使用 torch_npu.profiler（固定 warmup=5、active=5）采集，汇总 ASCEND_PROFILER_OUTPUT/op_statistic.csv 的 Total Time(us)，输出含 DType 列的统一 Markdown 对比报告（自定义算子 vs 标杆）。不生成 perf_cases.json 与 *_profiler_results.json。参考实现见 examples/layer_norm_profiler_reference/。
- Grade
- C
- Quality
- 78 / 100
- Safety
- Passed
- GitHub stars
- 136
Unproven: rated by static analysis only, not yet compared head-to-head.
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Our review
- Architecture
- 83 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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