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pytorch-cuda

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Optimize PyTorch CUDA environments.

Software Engineering#performance#gpu#pytorch#driver#cuda#toolkit#nvidia
Authorcuba6112
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps users configure, verify, and optimize their PyTorch environments for NVIDIA GPUs, specifically addressing challenges with CUDA toolkit versions, driver compatibility, and performance tuning.

Core Features & Use Cases

  • CUDA 13 Readiness: Verifies driver and toolkit compatibility for CUDA 13.
  • PyTorch Wheel Compatibility: Checks if pre-built PyTorch wheels support the desired CUDA version.
  • Accurate Timing: Implements CUDA events for precise performance measurement.
  • Use Case: When setting up PyTorch on a new machine with an NVIDIA GPU, use this Skill to ensure the CUDA drivers and toolkit are correctly installed and compatible with the PyTorch version you intend to use, preventing common setup errors.

Quick Start

Run the pytorch-cuda skill to check if your current NVIDIA driver is compatible with CUDA 13.

Dependency Matrix

Required Modules

None required

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: pytorch-cuda
Download link: https://github.com/cuba6112/skillfactory/archive/main.zip#pytorch-cuda

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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