​class Artifact: Flexible and lightweight building block for dataset and model versioning. ​class Run: A unit of computation logged by wandb. Typically this is an ML experiment. ​agent(...): Generic agent entrypoint, used for CLI or jupyter. ​finish(...): Marks a run as finished, and finishes uploading all data. ​init(...): Starts a new run to track and log to W&B. ​log(...): Logs a dictonary of data to the current run's history. ​save(...): Ensure all files matching glob_str are synced to wandb with the policy specified. ​summary(...): Tracks single values for each metric for each run. ​watch(...): Hooks into the torch model to collect gradients and the topology.