2026年1月9日 · Please ensure that you have met the prerequisites below (e.g., numpy), depending on your package manager. You can also install previous versions of PyTorch. Note that LibTorch is only …

Please ensure that you have met the prerequisites below (e.g., numpy), depending on your package manager. You can also install previous versions of PyTorch. Note that LibTorch is only available for …

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 …

Please ensure that you have met the prerequisites below (e.g., numpy), depending on your package manager. You can also install previous versions of PyTorch. Note that LibTorch is only available for …

Its Pythonic design and deep integration with native Python tools make it an accessible and powerful platform for building and training deep learning models at scale.

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

PyTorch Module Transformations using fx This set of examples demonstrates the torch.fx toolkit. For more information about torch.fx, see torch.fx Overview. GO TO EXAMPLE

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

Other than that, you can build out your model class like any other Python class, adding whatever properties and methods you need to support your model’s computation. Let’s instantiate this object …

conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch-lts -c conda-forge # CPU Only # Pytorch LTS version 1.8.2 is only supported for Python <= 3.8. conda install pytorch torchvision …