class_docstr: All functions are replaced to the same `new` function.
  
  Args:
      inputs (:obj:`dict`): Input variable mapping from the original input to another input. Default is the empty dictionary, so the new graph shares the original inputs.
  
  Examples:
  
  .. code-block:: python
  
     pred = Model(...)
     x = nn.Variable(...)
  
     import nnabla.experimental.graph_converters as GC
  
     modifiers = [GC.IdentityModifier({x0: x1})]
     gc = GC.GraphConverter(modifiers)
     pred = gc.convert(pred)
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code: def __init__(self, inputs={}, copy_value=False):
      super(IdentityModifier, self).__init__()
      self._input_dict = inputs
      self._copy_value = copy_value
  
imports: from .graph_converter import FunctionModifier
label_desc: Use image node_id 1 to create a new IdentityModifier object from inherited base classes: FunctionModifier with example: obj = IdentityModifier(inputs, copy_value)