tensorflow/tensorflow 源码下载与部署教程

项目概述

An Open Source Machine Learning Framework for Everyone

项目地址

https://github.com/tensorflow/tensorflow

项目页面预览

关键指标

• Stars：193353
• 主要语言：C++
• License：Apache License 2.0
• 最近更新：2026-01-15T17:25:03Z
• 默认分支：master

本站高速下载（国内可用）

点击下载（本站镜像）
– SHA256：eb5ffb40958475a5ce041f0e431c8888abe3d46f9796fd313d38c135a41c68e8

安装部署要点（README 精选）

Install

See the TensorFlow install guide for the
pip package, to
enable GPU support, use a
Docker container, and
build from source.

To install the current release, which includes support for
CUDA-enabled GPU cards (Ubuntu and
Windows):

$ pip install tensorflow

Other devices (DirectX and MacOS-metal) are supported using
Device Plugins.

A smaller CPU-only package is also available:

$ pip install tensorflow-cpu

To update TensorFlow to the latest version, add --upgrade flag to the above
commands.

Nightly binaries are available for testing using the
tf-nightly and
tf-nightly-cpu packages on PyPI.

常用命令（从 README 提取）

$ pip install tensorflow

$ pip install tensorflow-cpu

$ python

通用部署说明

1. 下载源码并阅读 README
2. 安装依赖（pip/npm/yarn 等）
3. 配置环境变量（API Key、模型路径、数据库等）
4. 启动服务并测试访问
5. 上线建议：Nginx 反代 + HTTPS + 进程守护（systemd / pm2）

免责声明与版权说明

本文仅做开源项目整理与教程索引，源码版权归原作者所有，请遵循对应 License 合规使用。