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Oct 29, 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.
Dec 26, 2023 · PyTorch is an open-source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
torch.library is a collection of APIs for extending PyTorch’s core library of operators. It contains utilities for testing custom operators, creating new custom operators, and extending operators defined with PyTorch’s C++ operator registration APIs (e.g. aten operators).
If you’re getting into deep learning projects, you will need the PyTorch library on your machine. This popular library boasts two prominent features, without which deep learning modeling would be a lot more challenging. The core data structure the library offers, Tensor, is easy to migrate to GPUs for the fastest computing.
Robust Ecosystem. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. Cloud Support. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Install PyTorch. Select your preferences and run the install command.
torch — PyTorch 2.5 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 serialization of Tensors and arbitrary types, and other useful utilities.
Feb 27, 2024 · PyTorch is an open-source machine learning library for Python developed by Facebook's AI Research Lab (FAIR). It is widely used for building deep learning models and conducting research in various fields like computer vision, natural language processing, and reinforcement learning.