class_docstr: Standard TensorFlow model for unit testing.
class_docstr_tok: ["Standard","TensorFlow","model","for","unit","testing","."]
docstr: Call function to evaluate the model.
  
  :param x: Input to the model
  :return: Prediction of the model
docstr_tok: ["Call","function","to","evaluate","the","model",".",":","param","x",":","Input","to","the","model",":","return",":","Prediction","of","the","model"]
code: def call(self, x):
      """
      Call function to evaluate the model.
  
      :param x: Input to the model
      :return: Prediction of the model
      """
      x = self.conv1(x)
      x = self.maxpool(x)
      x = self.conv2(x)
      x = self.maxpool(x)
      x = self.flatten(x)
      x = self.dense1(x)
      x = self.logits(x)
      return x
  
file_path: adversarial-robustness-toolbox/examples/get_started_tensorflow_v2.py
imports: import numpy
  from art.attacks.evasion import FastGradientMethod
  from art.estimators.classification import TensorFlowV2Classifier
  from art.utils import load_mnist
  import tensorflow
  from tensorflow.keras import Model
  from tensorflow.keras.layers import Dense, Flatten, Conv2D, MaxPool2D
label_desc: Use image node_id 2 for calling the TensorFlowModel obj's underlying member method code with example usage: obj.call(x) and returns: x