parameters: (self, batch_values, accumulator=None)
docstring: Compute a step in this computation, returning a new accumulator.
  
      This method computes a step of the computation described by this Combiner.
      If an accumulator is passed, the data in that accumulator is also used; so
      compute(batch_values) results in f(batch_values), while
      compute(batch_values, accumulator) results in
      merge(f(batch_values), accumulator).
  
      Args:
        batch_values: A list of ndarrays representing the values of the inputs for
          this step of the computation.
        accumulator: the current accumulator. Can be None.
  
      Returns:
        An accumulator that includes the passed batch of inputs.
docstring_summary: Compute a step in this computation, returning a new accumulator.
docstring_tokens: Compute a step in this computation returning a new accumulator .
function: def compute(self, batch_values, accumulator=None):
      """Compute a step in this computation, returning a new accumulator.
  
      This method computes a step of the computation described by this Combiner.
      If an accumulator is passed, the data in that accumulator is also used; so
      compute(batch_values) results in f(batch_values), while
      compute(batch_values, accumulator) results in
      merge(f(batch_values), accumulator).
  
      Args:
        batch_values: A list of ndarrays representing the values of the inputs for
          this step of the computation.
        accumulator: the current accumulator. Can be None.
  
      Returns:
        An accumulator that includes the passed batch of inputs.
      """
      pass
function_tokens: def compute ( self , batch_values , accumulator = None ) : pass