PyTorch
Dec 17, 2025 · Distributed Training Scalable distributed training and performance optimization in research and production is enabled by the torch.distributed backend.
Get Started - PyTorch
CUDA 13.0 ROCm 6.4 CPU pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu126
torch — PyTorch 2.9 documentation
The torch package contains data structures for multi-dimensional tensors and defines mathematical operations over these tensors. Additionally, it provides many utilities for efficient …
PyTorch 2.x
Learn about PyTorch 2.x: faster performance, dynamic shapes, distributed training, and torch.compile.
PyTorch documentation — PyTorch 2.9 documentation
Extending PyTorch Extending torch.func with autograd.Function Frequently Asked Questions Getting Started on Intel GPU Gradcheck mechanics HIP (ROCm) semantics Features for large …
Previous PyTorch Versions
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 …
Learning PyTorch with Examples
In PyTorch we can easily define our own autograd operator by defining a subclass of torch.autograd.Function and implementing the forward and backward functions. We can then …
End-to-end Machine Learning Framework – PyTorch
## Save your model torch. jit. script (model). save ("my_mobile_model.pt") ## iOS prebuilt binary pod ‘LibTorch’ ## Android prebuilt binary implementation 'org.pytorch:pytorch_android:1.3.0' …
Domains - PyTorch
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.
PyTorch 2.7 Release
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 …