class_docstr: The IdentityMapping module executes an identity function.
  
  Parameters
  ----------
  value: Tensorflow tensor
      Input tensor
  scope: str, optional
      Scope for module variables.
  reuse: bool, optional
      Whether or not to reuse module variables.
class_docstr_tok: ["The","IdentityMapping","module","executes","an","identity","function",".","Parameters","--","--","--","--","--","value",":","Tensorflow","tensor","Input","tensor","scope",":","str",",","optional","Scope","for","module","variables",".","reuse",":","bool",",","optional","Whether","or","not","to","reuse","module","variables","."]
code: def __init__(self, value, scope=None, reuse=False):
      assert value is not None, "value cannot be None"
      self._value = value
      super(IdentityMapping, self).__init__(
          l2_reg=None, scope=scope, reuse=False
      )
  
imports: import tensorflow
  from openrec.tf1.legacy.modules.extractions import Extraction
label_desc: Use image node_id 1 to create a new IdentityMapping object from inherited base classes: Extraction with example: obj = IdentityMapping(value, scope, reuse)