class_docstr: A placeholder identity operator that is argument-insensitive.
  (Identity has already been supported by PyTorch 1.2, we will directly
  import torch.nn.Identity in the future)
class_docstr_tok: ["A","placeholder","identity","operator","that","is","argument-insensitive",".","(","Identity","has","already","been","supported","by","PyTorch","1.2",",","we","will","directly","import","torch.nn.Identity","in","the","future",")"]
docstr: Return input
docstr_tok: ["Return","input"]
code: def forward(self, x):
      """Return input"""
      return x
  
imports: import os
  import pickle
  from collections import OrderedDict
  import numpy
  import torch
  import torch.nn
  import yaml
  from scipy import sparse
  from sklearn import preprocessing
  from graph4nlp.pytorch.data.data import GraphData
label_desc: Use image node_id 2 for calling the Identity obj's underlying member method code with example usage: obj.forward(x) and returns: x