class_docstr: Computes total attributions.
code: def create_accumulator(self) -> Dict[str, List[float]]:
      return {}
  
imports: import functools
  from typing import Any, Dict, Iterable, List, Optional, Union
  import apache_beam
  import numpy
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.metrics import example_count
  from tensorflow_model_analysis.metrics import metric_specs
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.metrics import metric_util
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.utils import util
label_desc: Use image node_id 3 for calling the _TotalAttributionsCombiner obj's underlying member method code with example usage: obj.create_accumulator() and returns: dict