wandb docker - CoreWeave

Fetch the complete documentation index at: /llms.txt Use this file to discover all available pages before exploring further. docker [OPTIONS] [DOCKER_RUN_ARGS]... [DOCKER_IMAGE] Run code in a Docker container with W&B configured. Start a Docker container, inject the WANDB_DOCKERs environment variable, and mount the current working directory at /app by default. Inject WANDB_API_KEY if logged in. Override the container entrypoint to ensure wandb is installed. Pass additional arguments to insert them into docker run before the image name. Use a default image if none is specified. Use --jupyter to install and start JupyterLab on port 8888. Enable the NVIDIA runtime automatically if NVIDIA Docker is Requires Docker to be installed and running on the host machine. To inject W&B environment variables into an existing docker run command without modifying the entrypoint, use wandb docker-run . For example, to run the default image and mount a dataset into the container: To run a default image and start JupyterLab: wandb docker -v /mnt/dataset:/app/data --jupyter To run a GPU-enabled image with a training command: wandb docker wandb/deepo:keras-gpu --no-tty --cmd "python train.py" Name Default Type docker_run_args STR False docker_image STR False Flag Type Description --nvidia BOOL Flag Use the nvidia runtime, defaults to nvidia if nvidia-docker is present. Default : False --digest BOOL Flag Output the image digest and exit. Default : False --jupyter BOOL Flag Run jupyter lab in the container. Default : False --dir STR Which directory to mount the code in the container. Default : /app --no-dir BOOL Flag Don’t mount the current directory. Default : False --shell STR The shell to start the container with. Default : /bin/bash --port STR The host port to bind jupyter on. Default : 8888 --cmd STR The command to run in the container. Default : None --no-tty BOOL Flag Run the command without a tty. Default : False