class_docstr: Identity layer
  This module is to replace any unwanted layers in a pre-defined model with an identity layer.
  It returns the input tensor as the output.
  
  Examples:
      >>> x = torch.randn(8, 3, 224, 224)
      >>> x = Identity()(x)
      >>> print(x.shape)
      >>> (8, 3, 224, 224)
code: def __init__(self):
      super(Identity, self).__init__()
  
imports: import torch.nn
  from torch.nn import functional
  from torchvision import models
label_desc: Use image node_id 1 to create a new Identity object from inherited base classes: nn with example: obj = Identity()