code: def scatter(tensors, src=0, group=group.WORLD):
      """
      Scatters a list of tensors to all processes in a group.
  
      Each process will receive exactly one tensor and store its data in the
      ``tensor`` argument.
  
      Arguments:
          tensors (list[Tensor]): List of tensors to scatter on the source rank.
              Receivers must pass ``None`.
          src (int, optional): Source rank (default is 0).
          group (ProcessGroup, optional): The process group to work on.
  
      Returns:
          Tensor: Output tensor from the scatter operation.
  
      """
      return _Scatter.apply(src, group, *tensors)
  
imports: import torch
  import torch.distributed
  from torch.autograd import Function
label_desc: Use image node_id 3 for calling a global function with example usage: scatter(tensors, src, group) and returns: _Scatter