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

# wandb docker

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:

```sh theme={null}
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.

## Usage

```bash theme={null}
wandb docker [DOCKER_RUN_ARGS] [DOCKER_IMAGE] [OPTIONS]
```

## Arguments

| Argument          | Description              | Required |
| :---------------- | :----------------------- | :------- |
| `DOCKER_RUN_ARGS` | No description available | No       |
| `DOCKER_IMAGE`    | No description available | No       |

## Options

| Option      | Description                                                                             |
| :---------- | :-------------------------------------------------------------------------------------- |
| `--nvidia`  | Use the nvidia runtime, defaults to nvidia if nvidia-docker is present (default: False) |
| `--digest`  | Output the image digest and exit (default: False)                                       |
| `--jupyter` | Run jupyter lab in the container (default: False)                                       |
| `--dir`     | Which directory to mount the code in the container (default: /app)                      |
| `--no-dir`  | Don't mount the current directory (default: False)                                      |
| `--shell`   | The shell to start the container with (default: /bin/bash)                              |
| `--port`    | The host port to bind jupyter on (default: 8888)                                        |
| `--cmd`     | The command to run in the container                                                     |
| `--no-tty`  | Run the command without a tty (default: False)                                          |