3 days ago · Distributed Training Scalable distributed training and performance optimization in research and production is enabled by the torch.distributed backend.

PyTorch is an open source machine learning framework that accelerates the path from research prototyping to production deployment. Built to offer maximum flexibility and speed, PyTorch supports …

pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu126 Installing on Windows PyTorch can be installed and used on various Windows distributions. Depending on your system and …

Extending PyTorch Extending torch.func with autograd.Function Frequently Asked Questions Getting Started on Intel GPU Gradcheck mechanics HIP (ROCm) semantics Features for large-scale …

CUDA 13.0 ROCm 7.1 CPU pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu126

torch.nn # Created On: Dec 23, 2016 | Last Updated On: Jul 25, 2025 These are the basic building blocks for graphs: torch.nn

OSX macOS is currently not supported in LTS. Linux and Windows # CUDA 10.2 pip3 install torch==1.8.2 torchvision==0.9.2 torchaudio==0.8.2 --extra-index-url …

torch-0.3.0.post4-cp27-cp27m-linux_x86_64.whl torch-0.3.0.post4-cp27-cp27mu-linux_x86_64.whl torch-0.3.0.post4-cp35-cp35m-linux_x86_64.whl torch-0.3.0.post4-cp36 ...

Speed up your models with minimal code changes using torch.compile, the latest PyTorch compiler solution.

PyTorch on XLA Devices PyTorch runs on XLA devices, like TPUs, with the torch_xla package. This document describes how to run your models on these devices.