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Jun 5, 2024 · PyTorch is a Python package that provides two high-level features: Tensor computation (like NumPy) with strong GPU acceleration. Deep neural networks built on a tape-based autograd system. You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
Explore a rich ecosystem of libraries, tools, and more to support development. Captum (“comprehension” in Latin) is an open source, extensible library for model interpretability built on PyTorch. PyTorch Geometric is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds.
torch.library is a collection of APIs for extending PyTorch’s core library of operators. It contains utilities for creating new custom operators as well as extending operators defined with PyTorch’s C++ operator registration APIs (e.g. aten operators). For a detailed guide on effectively using these APIs, please see this gdoc.
Dec 26, 2023 · Pytorch is an open-source deep learning framework available with a Python and C++ interface. The PyTorch resides inside the torch module. In PyTorch, the data that has to be processed is input in the form of a tensor. How to Install Pytorch?
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 Tensors and arbitrary types, and other useful utilities.
PyTorch is a Python package that provides two high-level features: Tensor computation (like NumPy) with strong GPU acceleration. Deep neural networks built on a tape-based autograd system. You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
PyTorch is a machine learning library based on the Torch library, [4] [5] [6] used for applications such as computer vision and natural language processing, [7] originally developed by Meta AI and now part of the Linux Foundation umbrella.
