code: def __init__(self):
      super(InceptionResnetV1Model, self).__init__(scope="model")
  
      # Load Facenet CNN
      facenet.load_model(self.model_path)
      # Save input and output tensors references
      graph = tf.get_default_graph()
      self.face_input = graph.get_tensor_by_name("input:0")
      self.embedding_output = graph.get_tensor_by_name("embeddings:0")
  
file_path: cleverhans/cleverhans_v3.1.0/examples/facenet_adversarial_faces/facenet_fgsm.py
imports: import facenet
  import tensorflow
  import numpy
  from cleverhans.model import Model
  from cleverhans.attacks import FastGradientMethod
  import set_loader
label_desc: Use image node_id 1 to create a new InceptionResnetV1Model object from inherited base classes: Model with example: obj = InceptionResnetV1Model()