Welcome to the TorchRec documentation!

TorchRec is a specialized library within the PyTorch ecosystem, tailored for building, scaling, and deploying large-scale recommendation systems, a niche not directly addressed by standard PyTorch. TorchRec offers advanced features such as complex sharding techniques for massive embedding tables, and enhanced distributed training capabilities.

Getting Started

Topics in this section will help you get started with TorchRec.

TorchRec Overview

A short intro to TorchRec and why you need it.

overview.html

Set up TorchRec

Learn how to install and start using TorchRec in your environment.

setup-torchrec.html

Getting Started with TorchRec Tutorial

Follow our interactive step-by-step tutorial to learn how to use TorchRec in a real-life example.

https://colab.research.google.com/github/pytorch/torchrec/blob/main/Torchrec_Introduction.ipynb

How to Contribute

We welcome contributions and feedback from the PyTorch community! If you are interested in helping improve the TorchRec project, here is how you can contribute:

1. Visit Our GitHub Repository: There you can find the source code, issues, and ongoing projects.

1. Submit Feedback or Issues: If you encounter any bugs or have suggestions for improvements, please submit an issue through the GitHub issue tracker.

1. Propose changes: Fork the repository and submit pull requests. Whether it’s fixing a bug, adding new features, or improving documentation, your contributions are always welcome! Please make sure to review our CONTRIBUTING.md

Go to TorchRec Repo