class_docstr: Implements distributed data parallelism that is based on
  ``torch.distributed`` package at the module level.
code: def forward(self, *args, **kwargs):
      return self.module(*args, **kwargs)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the DifferentiallyPrivateDistributedDataParallel obj's underlying member method code with example usage: obj.forward() and returns: self