[REQUEST] Add automatic logging of parallelism and ZeRO config to WandbMonitor

[WoosungMyung]

Description

Currently, WandbMonitor in deepspeed/monitor/wandb.py initializes W&B and supports logging.
I would like to suggest adding a simple method (or automatic hook) in WandbMonitor that updates the W&B config with the core distributed training settings after initialization is complete. (Parallelism Rank & Zero Config)

Proposed approach

Add a method such as monitor.update_config(engine) (or update_config_once()) that extracts these values from the DeepSpeed engine (or other getter method) and updates W&B config once the engine is fully initialized.

This should keep overhead minimal while adding significant value (experiment settings) for users using distributed learning.