Welcome to the official PyTorch documentation! Whether you're new to deep learning or an experienced researcher, this guide will help you navigate the core concepts and tools of PyTorch.

📚 Key Sections to Explore

  • Getting Started
    Start your journey with PyTorch and learn the basics of tensors, autograd, and neural networks.

    getting_started
  • TorchScript
    Discover how to convert Python models into TorchScript for deployment.

    torchscript_guide
  • Optimizations
    Explore advanced techniques for training efficiency and performance tuning.

    optimizations_tips
  • Distributed Training
    Learn to scale your models across multiple GPUs or machines.

    distributed_training

🌐 Expand Your Knowledge

For deeper insights, check out our Advanced Topics section, which covers custom layers, parallelism, and more.

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