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()