triton-cuda-elementwise

triton-cuda-elementwise is an MLOps & model serving skill for AI agents, published by mindspore-ai in the akg repository on GitHub. Skillspace rates triton-cuda-elementwise D (68/100) and it passed the safety scan; the rating is based on static analysis only.

逐元素算子(element-wise)优化策略，包括 add/mul/relu/sigmoid/tanh/gelu/exp/log 等操作的向量化实现和融合技巧。适用于实现激活函数、逐元素运算、广播操作等向量模式算子的 CUDA 内核代码生成场景

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
255

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubmindspore-ai/akg

Our review

Architecture
88 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 2 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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