setup()

function wandb.setup()

Prepares W&B for use in the current process and its children. You can usually ignore this as it is implicitly called by wandb.init(). When using wandb in multiple processes, calling wandb.setup() in the parent process before starting child processes may improve performance and resource utilization. Note that wandb.setup() modifies os.environ, and it is important that child processes inherit the modified environment variables. See also wandb.teardown().

settings: 'Settings | None' = None

Args

Settings | None

Configuration settings to apply globally. These can be overridden by subsequent wandb.init() calls.

Examples

import multiprocessing

import wandb


def run_experiment(params):
    with wandb.init(config=params):
        # Run experiment
        pass


if __name__ == "__main__":
    # Start backend and set global config
    wandb.setup(settings={"project": "my_project"})

    # Define experiment parameters
    experiment_params = [
        {"learning_rate": 0.01, "epochs": 10},
        {"learning_rate": 0.001, "epochs": 20},
    ]

    # Start multiple processes, each running a separate experiment
    processes = []
    for params in experiment_params:
        p = multiprocessing.Process(target=run_experiment, args=(params,))
        p.start()
        processes.append(p)

    # Wait for all processes to complete
    for p in processes:
        p.join()

    # Optional: Explicitly shut down the backend
    wandb.teardown()

W&B Models

W&B Weave

Serverless Inference

Serverless Training

function wandb.setup()

Args

Examples

​function wandb.setup()

​Args

​Examples

function wandb.setup()

Args

Examples