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torch-compile

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Tune and optimize PyTorch with torch.compile.

Software Engineering#pytorch#torch.compile#inductor#graph-breaks#autotune#gpu-optimization
Authortylertitsworth
Version1.0.0
Installs0

System Documentation

What problem does it solve?

PyTorch model compilation with torch.compile to accelerate training and inference, optimize graphs, reduce Python overhead, and tune performance via Inductor and backends.

Core Features & Use Cases

  • Performance optimization: accelerate PyTorch models during training and inference with various modes and backends.
  • Debugging & Use Cases: diagnose graph breaks, tune Inductor options, and compare backends.
  • Deployment readiness: prepare optimized models for deployment on GPUs and CPUs with configurable shapes and caching.

Quick Start

Run torch.compile on your PyTorch model to enable end-to-end acceleration.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: torch-compile
Download link: https://github.com/tylertitsworth/skills/archive/main.zip#torch-compile

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