Nov 21, 2025 · Distributed Training Scalable distributed training and performance optimization in research and production is enabled by the torch.distributed backend.

CUDA 13.0 ROCm 6.4 CPU pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu126

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

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

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 …

Apr 23, 2025 · Enable torch.compile on Windows 11 for Intel GPUs, delivering the performance advantages over eager mode as on Linux. Optimize the performance of PyTorch 2 Export Post …

The torch package contains data structures for multi-dimensional tensors and defines mathematical operations over these tensors. Additionally, it provides many utilities for efficient …

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 …

Learn about PyTorch 2.x: faster performance, dynamic shapes, distributed training, and torch.compile.

Oct 17, 2024 · Enhanced Intel GPU backend of torch.compile to improve inference and training performance for a wide range of deep learning workloads. These features are available …