Pip 安装 pytorch gpu 版本

A python-based machine learning framework, providing tensors, dynamic neural networks and strong GPU acceleration.

Bitnami Secure Image for pytorch

The PyTorch on ROCm Docker images

Bitnami Helm chart for PyTorch

Build, ship and run secure software with Chainguard's low-to-zero CVE container images.

This docker repo is used for hosting pytorch-nightly-build docker images.

Containers for running PyTorch workloads on Intel® Architecture.

The GPU interface of the WebGPU API is the starting point for using WebGPU. It can be used to return a GPUAdapter from which you can request devices, configure features and limits, and more.

1、下载安装python，勾选添加到环境，选择自定义安装，选择路径，其他默认。安装完成后，pip也安装完毕（包含在python中）。以管理员身份运行cmd，输入：pip--version，查看pip版本，有版本号则说明安装成功。 2、更换源，win+R 输入%HOMEPATH%，在此目录下创建 pi