tensorflow/build repository overview

⁠TF SIG Build Dockerfiles

Standard Dockerfiles for TensorFlow builds.

Maintainer: @angerson (TensorFlow OSS DevInfra; SIG Build)

See more details on SIG Build on GitHub⁠.

These docker containers are for building and testing TensorFlow in CI environments (and for users replicating those CI builds). They are openly developed in TF SIG Build, verified by Google developers, and published to tensorflow/build on Docker Hub⁠. The TensorFlow OSS DevInfra team is evaluating these containers for building tf-nightly.

⁠Tags

These Dockerfiles are built and deployed to Docker Hub via Github Actions⁠.

The tags are defined as such:

• The latest tags are kept up-to-date to build TensorFlow's master branch.
• The version number tags target the corresponding TensorFlow version. We continuously build the current-tensorflow-version + 1 tag, so when a new TensorFlow branch is cut, that Dockerfile is frozen to support that branch.

⁠Notice

These container images are based on the NVIDIA CUDA container images provided by NVIDIA. Please refer to the End User License Agreement on the nvidia/cuda repository⁠ and the CUDA installation guide⁠.