---
id: torch
version: "2.13.0"
license: Apache-2.0 AND Apache-2.0 WITH LLVM-exception AND BSD-2-Clause AND BSD-3-Clause AND BSL-1.0 AND MIT
license_treatment: permissive
maintenance: active
---

# torch — Tensors and Dynamic neural networks in Python with strong GPU acceleration

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install torch
uv add torch
poetry add torch

## Description

![PyTorch Logo](https://github.com/pytorch/pytorch/raw/main/docs/source/_static/img/pytorch-logo-dark.png)

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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.

Our trunk health (Continuous Integration signals) can be found at [hud.pytorch.org](https://hud.pytorch.org/ci/pytorch/pytorch/main).

<!-- toc -->

- [More About PyTorch](#more-about-pytorch)
  - [A GPU-Ready Tensor Library](#a-gpu-ready-tensor-library)
  - [Dynamic Neural Networks: Tape-Based Autograd](#dynamic-neural-networks-tape-based-autograd)
  - [Python First](#python-first)
  - [Imperative Experiences](#imperative-experiences)
  - [Fast and Lean](#fast-and-lean)
  - [Extensions Without Pain](#extensions-without-pain)
- [Installation](#installation)
  - [Binaries](#binaries)
    - [NVIDIA Jetson Platforms](#nvidia-jetson-platforms)
  - [From Source](#from-source)
    -...

## AI interpretation — verify before relying

PyTorch is a tensor computation library with GPU acceleration and a tape-based automatic differentiation system for building and training deep neural networks.

Verdict: PyTorch 2.13.0 is production-stable (Development Status 5), actively maintained, and has no known vulnerabilities. Permissive licensing and broad Python 3.10+ support are assets; moderate install friction stems from GPU library dependencies, mitigated by prebuilt wheels across major platforms.

[View on SkillFed](https://skillfed.io/packages/torch) · [View on PyPI](https://pypi.org/project/torch/)