code: def inverse_transform(self, processed_outputs):
      return [
          self[i].inverse_transform(di)
          for i, di in enumerate(processed_outputs)
      ]
  
imports: import copy
  from operator import itemgetter
  from typing import Callable, List, Optional, Tuple, Union
  from neuraxle.base import CX, DACT, BaseStep, BaseTransformer, ForceHandleMixin, ForceHandleOnlyMixin, Identity, MetaStep, NamedStepsList, TruncableJoblibStepSaver
  from neuraxle.data_container import DIT, EOT, IDT, DACTData, ListDataContainer
  from neuraxle.steps.flow import ExecuteIf
  import numpy
label_desc: Use image node_id 9 for calling the StepClonerForEachDataInput obj's underlying member method code with example usage: obj.inverse_transform(processed_outputs) and returns: unknown