nsys-capture
OfficialCapture GPU profiling with nsys for FastDeploy
AuthorPaddlePaddle
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a deterministic GPU profiling workflow for FastDeploy inference services using Nsight Systems (nsys). It automates injection of profiling hooks into the codebase, script generation for launching with nsys, and end-to-end workflows to collect .nsys-rep files for performance analysis.
Core Features & Use Cases
- Automatic detection and injection of nvprof_start / nvprof_stop calls into fastdeploy/worker/gpu_model_runner.py
- Automated generation of a start_nsys.sh script that wraps the actual startup command with NSYS_CMD
- End-to-end profiling pipeline: information collection, profiling, script generation, user confirmation, execution, and file collection
- Works in scenarios where users want to profile GPU inference services and analyze operator-level and CUDA graph traces
Quick Start
Run the end-to-end workflow to profile your FastDeploy GPU inference service with nsight systems and generate a .nsys-rep file.
Dependency Matrix
Required Modules
openai
Components
Standard package💻 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: nsys-capture Download link: https://github.com/PaddlePaddle/FastDeploy/archive/main.zip#nsys-capture Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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