class_docstr: CombineFn to combine dictionaries generated by different evaluators.
code: def add_input(
      self, accumulator: Dict[str, Any], output_dict: Dict[str, Any]
  ) -> Dict[str, Any]:
      if not isinstance(output_dict, dict):
          raise TypeError(
              "for outputs written to by multiple evaluators, the outputs must all "
              "be dictionaries, but got output of type %s, value %s"
              % (type(output_dict), str(output_dict))
          )
      self._merge(accumulator, output_dict)
      return accumulator
  
file_path: model-analysis/tensorflow_model_analysis/evaluators/evaluator.py
imports: from typing import Any, Dict, Iterable, List, NamedTuple, Optional
  import apache_beam
  from tensorflow_model_analysis.extractors import extractor
label_desc: Use image node_id 3 for calling the _CombineEvaluationDictionariesFn obj's underlying member method code with example usage: obj.add_input(accumulator, output_dict) and returns: accumulator