code: def call(self, x):
      return self.relu(self.fc(x))
  
imports: import unittest
  import numpy
  import tensorflow
  import tensorflow.keras.backend
  from tensorflow import keras
  from tensorflow.keras import Model, Input
  from tensorflow.keras.layers import Add
  from tensorflow.keras.layers import ReLU, concatenate
  from tensorflow.keras.layers import TimeDistributed, Dense, Embedding, LSTM
  from keract import get_activations, get_gradients_of_activations, get_gradients_of_trainable_weights, keract
label_desc: Use image node_id 2 for calling the NestedModel obj's underlying member method code with example usage: obj.call(x) and returns: self