code: def get_data_parallel_world_size(with_context_parallel=False):
      """Return world size for the data parallel group."""
      if (
          torch.distributed.is_available()
          and torch.distributed.is_initialized()
      ):
          return torch.distributed.get_world_size(
              group=get_data_parallel_group(
                  with_context_parallel=with_context_parallel
              )
          )
      else:
          return 0
  
imports: import os
  from typing import Optional
  import torch
  from .utils import GlobalMemoryBuffer
label_desc: Use image node_id 45 for calling a global function with example usage: get_data_parallel_world_size(with_context_parallel) and returns: torch, int