code: def tensorflow_model(input_shape: Tuple[int]):
      x_in = Input(shape=input_shape)
      x = Dense(20, activation=tf.nn.relu)(x_in)
      x_out = Dense(2, activation="softmax")(x)
      return tf.keras.models.Model(inputs=x_in, outputs=x_out)
  
file_path: alibi-detect/alibi_detect/cd/tests/test_classifier.py
imports: import numpy
  import pytest
  import tensorflow
  from tensorflow.keras.layers import Dense, Input
  import torch
  import torch.nn
  from alibi_detect.cd import ClassifierDrift
  from alibi_detect.cd.pytorch.classifier import ClassifierDriftTorch
  from alibi_detect.cd.tensorflow.classifier import ClassifierDriftTF
  from alibi_detect.cd.sklearn.classifier import ClassifierDriftSklearn
  from sklearn.neural_network import MLPClassifier
  from typing import Tuple
label_desc: Use image node_id 1 for calling a global function with example usage: tensorflow_model(input_shape) and returns: tf