code: def call(self, inputs, **kwargs):
      if self.use_shortcut:
          return inputs + self.main_branch(inputs)
      else:
          return self.main_branch(inputs)
  
file_path: deep-learning-for-image-processing/tensorflow_classification/ConfusionMatrix/model.py
imports: from tensorflow.keras import layers, Model, Sequential
label_desc: Use image node_id 2 for calling the InvertedResidual obj's underlying member method code with example usage: obj.call(inputs) and returns: unknown, self