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Vegetable-bird10086
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profile

Profile ExecuTorch model execution timing and generate analysis reports.

Updated Apr 23, 2026
Search Tags:#performance#debugging#model analysis#profiling#execuTorch#performance tools
One-click install
npx skills add https://github.com/Vegetable-bird10086/executorch-pd --skill profile-vegetable-bird10086
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: profile
Source: https://github.com/Vegetable-bird10086/executorch-pd/tree/main/.claude/skills/profile
Command: npx skills add https://github.com/Vegetable-bird10086/executorch-pd --skill profile-vegetable-bird10086

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to profile and debug ExecuTorch models, helping identify bottlenecks and improve model performance.

Core Features & Use Cases

  • Performance Profiling: Measure operator timings and model execution efficiency.
  • Debugging: Analyze detailed execution records for troubleshooting slow or malfunctioning models.
  • Use Case: A developer wants to analyze their model’s inference speed on a specific hardware setup to optimize runtime.

Quick Start

Use the profile skill to measure the execution time of your model and generate a detailed report for analysis.

Frequently Asked Questions about profile

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I profile ExecuTorch model execution time on specific hardware?▼

Use the profile skill to measure execution time and generate a detailed analysis report for your ExecuTorch models. It records operator timings to evaluate inference efficiency on specific hardware setups.

What is the best way to debug slow ExecuTorch model inference?▼

Analyze detailed execution records with the profile skill to debug slow ExecuTorch inference. It captures operator timings and execution data to identify runtime bottlenecks and improve model performance.

Can I analyze ExecuTorch operator timings without installing special dependencies?▼

Yes, you can analyze ExecuTorch operator timings without special dependencies. The profile skill requires only the core library functionalities to perform performance profiling and generate analysis reports.

How does performance profiling work for AI deployment workflows in ExecuTorch?▼

Performance profiling in ExecuTorch works by measuring operator timings and execution efficiency during AI deployment workflows. The profile skill facilitates this timing analysis to help optimize model runtime performance.

When do I need performance profiling for my ExecuTorch models?▼

You need performance profiling for ExecuTorch models when identifying bottlenecks and improving execution efficiency. It is essential for developers optimizing model inference speed and troubleshooting deployment issues.

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