burn-tracing-backend
CommunityVisualize and analyze tensor operation performance in ML workflows.
AuthorAdrianEddy
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides detailed tracing and visualization of tensor operations, helping developers identify performance bottlenecks and fusion efficiency issues in machine learning models.
Core Features & Use Cases
- Operation profiling: Records CPU timing, fusion events, and synchronization points during tensor computations.
- Interactive visualizations: Generates HTML-based timelines, memory usage charts, and operation lists for performance analysis.
- Use Case: Optimize a deep learning training pipeline by pinpointing slow fusion kernels and excessive syncs, then refining the model code accordingly.
Quick Start
Use the burn-tracing backend to trace a model inference and generate an HTML report for performance review.
Dependency Matrix
Required Modules
burn-tracing-backend
Components
scriptsreferencesassets
💻 Claude Code Installation
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Please help me install this Skill: Name: burn-tracing-backend Download link: https://github.com/AdrianEddy/burn-tracing-backend/archive/main.zip#burn-tracing-backend Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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