tensorflow

(โ˜… 197,215)

An Open Source Machine Learning Framework for Everyone

Showing a partial file list โ€” download the zip above to see everything.

  • .bazelignore
  • .bazelrc
  • .bazelversion
  • .clang-format
  • .gitignore
  • .pylintrc
  • .zenodo.json
  • arm_compiler.BUILD
  • AUTHORS
  • bazel_downloader.cfg
  • BUILD
  • CITATION.cff
  • CODE_OF_CONDUCT.md
  • CODEOWNERS
  • configure
  • configure.cmd
  • configure.py
  • CONTRIBUTING.md
  • ISSUES.md
  • LICENSE
  • models.BUILD
  • MODULE.bazel
  • README.md
  • RELEASE.md
  • requirements_lock_3_10.txt
  • requirements_lock_3_11.txt
  • requirements_lock_3_12.txt
  • requirements_lock_3_13.txt
  • requirements_lock_3_14.txt
  • SECURITY.md
  • WORKSPACE

# Installation Guide

1. Get the code
git clone https://github.com/tensorflow/tensorflow

Downloads the entire project code from GitHub to your computer.

cd tensorflow

Moves into the project folder you just downloaded.

2. Official Install Script

Easy Recommended
Prerequisites
  • Python 3 Python is required to use pip.
pip install tensorflow

Installs the package published on PyPI directly โ€” no need to clone the source.

pip install tensorflow-cpu

Installs the package published on PyPI directly โ€” no need to clone the source.

โœ… After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.

Pulled directly from this repo's README.

3. Docker

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
โš ๏ธ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.
docker build -f ci/devinfra/docker/windows/Dockerfile -t tensorflow .

Builds a runnable image based on the Dockerfile.

docker run -p 8080:80 tensorflow

Runs the built image as an actual container.

โœ… Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.
// repository documentation