pytorch-model-cli

What problem does it solve?

This Skill enables the execution of PyTorch models for inference directly within native applications (C/C++/Rust), eliminating Python dependencies and simplifying deployment for performance-critical or resource-constrained environments.

Core Features & Use Cases

• Weight Extraction: Safely extracts model weights from PyTorch's .pth files into formats usable by native languages.
• Native Forward Pass Implementation: Guides the implementation of neural network forward passes using extracted weights in C/C++/Rust.
• Standalone Inference Tools: Facilitates the creation of self-contained inference executables without requiring a Python runtime.
• Use Case: Deploying a trained image classification model on an embedded system where Python is not available, by converting the PyTorch model's logic and weights into a C++ executable.

Quick Start

Use the pytorch-model-cli skill to extract weights from 'my_model.pth' and implement its forward pass in C++.