RuntimeError: Use of libuv requested, PyTorch built without libuv support

Abstract: This article discusses a common issue when using PyTorch on a laptop for deep learning, where a RuntimeError occurs due to the use of libuv, but PyTorch was built without libuv support. It provides solutions to resolve this issue.

Created: 2025-01-17 by UserComp.com Editors

Title: Installing PyTorch on a Laptop with CUDA 12.0

In this article, we will guide you through the process of installing PyTorch on a laptop with CUDA 12.0. PyTorch is an open-source machine learning library based on the Torch library, used for applications such as natural language processing and computer vision.

Prerequisites

Before we begin, ensure that you have the following prerequisites:

A laptop with a compatible NVIDIA GPU that supports CUDA 12.0.
NVIDIA CUDA Toolkit 12.0 installed.
Python 3.x installed.

Installation

Follow these steps to install PyTorch on your laptop:

Install CUDA 12.0:

sudo apt-get update
sudo apt-get install cuda-12-0

Install PyTorch:

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

Summary

Article: Installing PyTorch on a Laptop with CUDA 12.0
Type: Online Resource

References:

Tags: PyTorch libuv RuntimeError

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