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 shape of one input sample.
  
  :return: Shape of one input sample.
docstr_tok: ["Return","the","shape","of","one","input","sample",".",":","return",":","Shape","of","one","input","sample","."]
code: def input_shape(self) -> Tuple[int, int]:
      """
      Return the shape of one input sample.
  
      :return: Shape of one input sample.
      """
      return 1, 100
  
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 3 for calling the TensorFlowV2GAN obj's underlying member method code with example usage: obj.input_shape() and returns: int,  int