code: def get_moe_info(
      ep_size: int, dp_size: int, pp_size: int, ep_inside: bool
  ) -> MoeParallelInfo:
      """
      Get moe info for the given tensor.
  
      Args:
          ep_size (int): The expert parallel size.
          dp_size (int): The data parallel size.
          pp_size (int): The pipeline parallel size.
          ep_inside (bool, optional): Use ep inside dp if True, dp inside ep if Fasle.
  
      Returns:
          dict: The moe info of the given tensor.
      """
      return MoeParallelInfo(ep_inside, ep_size, dp_size, pp_size)
  
file_path: ColossalAI/colossalai/tensor/moe_tensor/api.py
imports: from typing import List
  import torch
  import torch.distributed
  from torch.distributed import ProcessGroup
  from .moe_info import MoeParallelInfo
label_desc: Use image node_id 3 for calling a global function with example usage: get_moe_info(ep_size, dp_size, pp_size, ep_inside) and returns: MoeParallelInfo