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  1. PyTorch

    Jan 9, 2026 · Install PyTorch Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. …

  2. Get Started - PyTorch

    To ensure that PyTorch was installed correctly, we can verify the installation by running sample PyTorch code. Here we will construct a randomly initialized tensor.

  3. Start Locally | PyTorch

    For the majority of PyTorch users, installing from a pre-built binary via a package manager will provide the best experience. However, there are times when you may want to install the bleeding edge …

  4. Previous PyTorch Versions

    Access and install previous PyTorch versions, including binaries and instructions for all platforms.

  5. PyTorch 2.x

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

  6. Installation - PyTorch

    The complexity came from the different distributions of PyTorch. Fortunately, PyTorch has switched to cxx11-abi for all distributions. Below is a table with general pairings of PyTorch distribution sources …

  7. Quickstart — PyTorch Tutorials 2.10.0+cu130 documentation

    PyTorch offers domain-specific libraries such as TorchText, TorchVision, and TorchAudio, all of which include datasets. For this tutorial, we will be using a TorchVision dataset.

  8. PyTorch 2.6 Release Blog

    Jan 29, 2025 · Application developers and researchers seeking to fine-tune, inference and develop with PyTorch models on Intel® Core™ Ultra AI PCs and Intel® Arc™ discrete graphics will now be able to …

  9. Getting Started on Intel GPU — PyTorch 2.9 documentation

    Jun 14, 2024 · Software Prerequisite # To use PyTorch on Intel GPUs, you need to install the Intel GPUs driver first. For installation guide, visit Intel GPUs Driver Installation. Please skip the Intel® Deep …

  10. PyTorch 2.8 Final RC Available - Release Announcements - PyTorch ...

    Jul 23, 2025 · The final 2.8.0 RC for PyTorch core and Domain Libraries is available for download from the pytorch-test channel. Remaining Key Dates Milestones M1 through M4 are complete.