Lacey Dorn
Clara Thornton
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PyTorch is a flexible and powerful library for building and deploying AI models. Learn how to install, use, and extend PyTorch with features, cloud support, and ecosystem projects.
- Start Locally
Installing on Windows. PyTorch can be installed and used on...
- Tutorials
This tutorial explores the new...
- Docs
Stable: These features will be maintained long-term and...
- Mobile
Note PyTorch Mobile is no longer actively supported. Please...
- Blog
September 04, 2024. CUDA-Free Inference for LLMs. In this...
- Ecosystem
Tools. Learn about the tools and frameworks in the PyTorch...
- Join
Apply for Membership Today. If your organization is...
- PyTorch Enterprise Support Program Update
by Team PyTorch On May 25, 2021, we announced the PyTorch...
- Skorch Skorch is a High-Level Library for PyTorch That Provides Full Scikit-Learn Compatibility
Stay in touch for updates, event info, and the latest news....
- Pytorch Hub
model = torch.hub.load('pytorch/vision', 'resnet18',...
- Start Locally
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- Prerequisites
- Installation
- Verification
- Building from Source
Supported Windows Distributions
PyTorch is supported on the following Windows distributions: 1. Windows 7 and greater; Windows 10or greater recommended. 2. Windows Server 2008r2 and greater
Python
Currently, PyTorch on Windows only supports Python 3.8-3.11; Python 2.x is not supported. As it is not installed by default on Windows, there are multiple ways to install Python: 1. Chocolatey 2. Python website 3. Anaconda For a Chocolatey-based install, run the following command in an administrative command prompt:
Package Manager
To install the PyTorch binaries, you will need to use at least one of two supported package managers: Anaconda and pip. Anaconda is the recommended package manager as it will provide you all of the PyTorch dependencies in one, sandboxed install, including Python and pip.
Anaconda
To install PyTorch with Anaconda, you will need to open an Anaconda prompt via Start | Anaconda3 | Anaconda Prompt.
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. From the command line, type: then enter the following code: The output should be something similar to: Additionally, to check if your GPU driver and CUDA is enabled and accessible by Py...
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 PyTorch code, whether for testing or actual development on the PyTorch core. To install the latest PyTorch code, you will need to build PyTorch from sou...
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Learn the various meanings and uses of the word torch, from a burning stick to a portable device to a verb meaning to set fire to. See synonyms, examples, etymology, and related phrases of torch.
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