code: def get_context_parallel_world_size():
      """Return world size for the context parallel group."""
      if (
          torch.distributed.is_available()
          and torch.distributed.is_initialized()
      ):
          return torch.distributed.get_world_size(
              group=get_context_parallel_group()
          )
      else:
          return 0
  
imports: import os
  from typing import Optional
  import torch
  from .utils import GlobalMemoryBuffer
label_desc: Use image node_id 47 for calling a global function with example usage: get_context_parallel_world_size() and returns: torch, int