Try Out Development Containers: Tensorflow

A development container, from now on dev container, is a running Docker container with a well-defined tool/runtime stack and its prerequisites.

You can try out development containers with GitHub Codespaces or Visual Studio Code Remote - Containers

This is a template project that using a dev container, automatically configures a Tensorflow development environment with few easy steps.

Check out others dev container template projects

This template includes a GitHub Action which ensures that any changes made to the dev branch still allow Docker to build the dev container correctly. If so, then the main branch is merged with the dev oen.

You should never directly push on the main branch as Git best practices recommend

Feel free to dive into configuration files and modify them to suit your needs.

Setting up the development container

GitHub Codespaces

Follow these steps to open this sample in a Codespace:

1. Click the Code drop-down menu and select the Open with Codespaces option

2. Select + New codespace at the bottom on the pane

For more info, check out the GitHub documentation.

VS Code Remote - Containers

Follow these steps to open this sample in a container using the VS Code Remote - Containers extension:

1. If this is your first time using a dev container, please ensure your system meets the pre-reqs (i.e. have Docker installed)

2. Clone this repository to your local filesystem

3. Press F1 and select the Remote-Containers: Reopen in Container... command

For more info, check out the VS Code documentation.