capture-trace
CommunityEfficiently capture PyTorch profiler/kineto traces for performance investigation
Software Engineering#performance analysis#performance tracing#ATOM server#PyTorch profiler#kineto trace
AuthorProgMastermind
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps users capture and analyze performance traces from running ATOM servers, aiding in performance investigation and optimization.
Core Features & Use Cases
- Trace Capture: Automatically capture PyTorch profiler/kineto traces for performance analysis.
- Short Benchmark Window: Supports capturing traces from short benchmark windows to ensure readability and prevent OOM errors.
- Pre-flight Checks: Ensures that the server is stopped cleanly, a short workload is chosen, and the trace directory is empty.
- Required Tools: Provides a list of required tools for successful trace capture.
- Workflow Guide: Offers a step-by-step guide to launch the server, drive the benchmark, wait for exporter completion, and inspect the trace layout.
- Inspecting Traces: Includes commands to verify the layout of the captured traces and inspect kernel events.
Quick Start
To capture a trace, first launch the server with the profiler enabled, then run the benchmark, and finally wait for the exporter to finish.
Dependency Matrix
Required Modules
torchkineto
Components
scriptsreferences
💻 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: capture-trace Download link: https://github.com/ProgMastermind/ATOM/archive/main.zip#capture-trace Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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