search-workflow
OfficialAutomate operator search for optimized kernels.
Authormindspore-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Automates generation of high-performance operator implementations by running adaptive_search or evolve workflows. It targets AKG-based workflows and supports background, silent-mode execution with progress polling for monitoring tasks.
Core Features & Use Cases
- Run adaptive_search or evolve workflows to generate high-performance operator implementations.
- Execute in the background with silent mode and progress polling for monitoring.
- Collect results and produce generated_code.py and summary.json for quick integration.
- Use Case: tuning a new operator by exploring multiple design variants and selecting the best performing impl.
Quick Start
Use the search-workflow with your task file and required framework/backend/arch/dsl, specify an output path, and let it orchestrate the workflow and generate code.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: search-workflow Download link: https://github.com/mindspore-ai/akg/archive/main.zip#search-workflow Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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