class_docstr: Interface for wrappers that augment the input and reduce the analysis.
  
  This class is an interface for wrappers that:
  * augment the input to the analyzer by creating new samples.
  * reduce the returned analysis to match the initial input shapes.
  
  :param subanalyzer: The analyzer to be wrapped.
  :param augment_by_n: Number of samples to create.
code: def _keras_get_constant_inputs(self) -> list[Tensor] | None:
      return []
  
imports: from __future__ import annotations
  import numpy
  import tensorflow.keras.backend
  import tensorflow.keras.layers
  import tensorflow.keras.models
  import innvestigate.backend
  import innvestigate.layers
  from innvestigate.analyzer.base import AnalyzerBase
  from innvestigate.analyzer.network_base import AnalyzerNetworkBase
  from innvestigate.backend.types import OptionalList, Tensor
label_desc: Use image node_id 4 for calling the AugmentReduceBase obj's underlying member method code with example usage: obj._keras_get_constant_inputs() and returns: list