[Profiler] Add group_info output

[phoenixdong]

Description

This PR adds functionality to output group information for large model execution, helping to track and manage task distribution during runtime.

New Functionality

• parallelism_to_groups.json
  Defines how tasks are grouped across various parallelism strategies (data, tensor, pipeline, etc.) for large model execution.

• rank_to_parallelism_to_group_id.json
  Maps device ranks to group IDs for different parallelism strategies.

• rank_to_host_and_device.json
  Provides mapping from device ranks to specific hardware (host IP, device ID, and GPU name).

Note

This PR enables the output of parallel group information for both decoder and encoder modes.

Usage Instructions

To enable the output of parallel group information during model training, add the following configuration to your training file:

system:
  ...
  analyze:
    analyze_save_dir: group_info_output_path

• analyze_save_dir: Specifies the directory where the group information will be saved. Replace group_info_output_path with your desired output path for storing the parallelism group details.