5 days ago · 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

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

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

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 …

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 …

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 …

Jan 29, 2025 · Simplified Intel GPU software stack setup to enable one-click installation of the torch-xpu PIP wheels to run deep learning workloads in an out of the box fashion, eliminating …

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

Jun 10, 2025 · The torch.onnx module captures the computation graph from a native PyTorch torch.nn.Module model and converts it into an ONNX graph. The exported model can be …