class_docstr: Wrapper class for importing Keras models.
docstr: The index of the layer considered as input for models with multiple input layers.
  For models with only one input layer the index is 0.
  
  :return: The index of the layer considered as input for models with multiple input layers.
docstr_tok: ["The","index","of","the","layer","considered","as","input","for","models","with","multiple","input","layers",".","For","models","with","only","one","input","layer","the","index","is","0.",":","return",":","The","index","of","the","layer","considered","as","input","for","models","with","multiple","input","layers","."]
code: def input_layer(self) -> int:
      """
      The index of the layer considered as input for models with multiple input layers.
      For models with only one input layer the index is 0.
  
      :return: The index of the layer considered as input for models with multiple input layers.
      """
      return self._input_layer
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import os
  import time
  from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Union, TYPE_CHECKING
  import numpy
  import six
  from art import config
  from art.estimators.keras import KerasEstimator
  from art.estimators.classification.classifier import ClassifierMixin, ClassGradientsMixin
  from art.utils import check_and_transform_label_format
label_desc: Use image node_id 5 for calling the KerasClassifier obj's underlying member method code with example usage: obj.input_layer() and returns: self