class_docstr: This class implements a GAN with the TensorFlow v2 framework.
class_docstr_tok: ["This","class","implements","a","GAN","with","the","TensorFlow","v2","framework","."]
docstr: :return: the loss fct used for the discriminator
docstr_tok: [":","return",":","the","loss","fct","used","for","the","discriminator"]
code: def discriminator_loss(self) -> "tf.Tensor":
      """
      :return: the loss fct used for the discriminator
      """
      return self._discriminator_loss
  
file_path: adversarial-robustness-toolbox/art/estimators/gan/tensorflow.py
imports: from typing import Tuple, TYPE_CHECKING, Union
  import numpy
  from art.estimators.tensorflow import TensorFlowV2Estimator
label_desc: Use image node_id 9 for calling the TensorFlowV2GAN obj's underlying member method code with example usage: obj.discriminator_loss() and returns: self