Welcome to PyTorch Tutorials (original) (raw)

What’s new in PyTorch tutorials?

• Integrating Custom Operators with SYCL for Intel GPU
• Supporting Custom C++ Classes in torch.compile/torch.export
• Accelerating torch.save and torch.load with GPUDirect Storage
• Getting Started with Fully Sharded Data Parallel (FSDP2)
• Interactive Distributed Applications with Monarch

Learn the Basics

Familiarize yourself with PyTorch concepts and modules. Learn how to load data, build deep neural networks, train and save your models in this quickstart guide.

Get started with PyTorch

PyTorch Recipes

Bite-size, ready-to-deploy PyTorch code examples.

Explore Recipes

Additional Resources#

Examples of PyTorch

A set of examples around PyTorch in Vision, Text, Reinforcement Learning that you can incorporate in your existing work.

Check Out Examples

Run Tutorials on Google Colab

Learn how to copy tutorial data into Google Drive so that you can run tutorials on Google Colab.

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