> ## Documentation Index
> Fetch the complete documentation index at: https://wb-21fd5541-docs-1778-mysql-updates.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# wandb docker

**Usage**

`wandb docker [OPTIONS] [DOCKER_RUN_ARGS]... [DOCKER_IMAGE]`

**Summary**

Run your code in a docker container.

W\&B docker lets you run your code in a docker image ensuring wandb is
configured. It adds the WANDB\_DOCKER and WANDB\_API\_KEY environment variables
to your container and mounts the current directory in /app by default.  You
can pass additional args which will be added to `docker run` before the
image name is declared, we'll choose a default image for you if one isn't
passed:

wandb docker -v /mnt/dataset:/app/data
wandb docker gcr.io/kubeflow-images-public/tensorflow-1.12.0-notebook-cpu:v0.4.0 --jupyter
wandb docker
wandb/deepo:keras-gpu --no-tty --cmd "python train.py --epochs=5"

By default, we override the entrypoint to check for the existence of wandb
and install it if not present.  If you pass the --jupyter flag we will
ensure jupyter is installed and start jupyter lab on port 8888.  If we
detect nvidia-docker on your system we will use the nvidia runtime.  If you
just want wandb to set environment variable to an existing docker run
command, see the wandb docker-run command.

**Options**

| **Option**                 | **Description**                                                          |
| :------------------------- | :----------------------------------------------------------------------- |
| `--nvidia / --no-nvidia`   | Use the nvidia runtime, defaults to nvidia if   nvidia-docker is present |
| `--digest`                 | Output the image digest and exit                                         |
| `--jupyter / --no-jupyter` | Run jupyter lab in the container                                         |
| `--dir`                    | Which directory to mount the code in the container                       |
| `--no-dir`                 | Don't mount the current directory                                        |
| `--shell`                  | The shell to start the container with                                    |
| `--port`                   | The host port to bind jupyter on                                         |
| `--cmd`                    | The command to run in the container                                      |
| `--no-tty`                 | Run the command without a tty                                            |