PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem.
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 supports dynamic computation graphs, enabling researchers and developers to iterate quickly and intuitively. Its Pythonic design and deep integration with native Python tools make it an accessible and powerful ...
Learn how to use torch.nn.utils.prune to sparsify your neural networks, and how to extend it to implement your own custom pruning technique.
Learn the Basics - Documentation for PyTorch Tutorials, part of the PyTorch ecosystem.
Learn about PyTorch 2.x: faster performance, dynamic shapes, distributed training, and torch.compile.
torch.compile () now respects use_deterministic_mode Run-to-run determinism makes it easier to debug training runs and has been one of the most requested features for users running at scale and for users who want to reliably test their code that uses torch.compile.
Start Locally Package Manager To install the PyTorch binaries, you will need to use the supported package manager: pip. pip If you installed Python by any of the recommended ways above, pip will have already been installed for you. Installation pip No CUDA To install PyTorch via pip, and do not have a CUDA-capable system or do not require CUDA, in the above selector, choose OS: Windows ...
PyTorch documentation # PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. Features described in this documentation are classified by release status: Stable (API-Stable): These features will be maintained long-term and there should generally be no major performance limitations or gaps in documentation. We also expect to maintain backwards compatibility (although ...