(export_output)
Get a list of `Tensors` used in `export_output`.

  Args:
    export_output: an `ExportOutput` object such as `ClassificationOutput`,
      `RegressionOutput`, or `PredictOutput`.

  Returns:
    a list of tensors used in export_output.

  Raises:
    ValueError: if `export_output` is not one of `ClassificationOutput`,
        `RegressionOutput`, or `PredictOutput`.
Get a list of `Tensors` used in `export_output`.
Get a list of Tensors used in export_output .
def _export_output_to_tensors(export_output):
  """Get a list of `Tensors` used in `export_output`.

  Args:
    export_output: an `ExportOutput` object such as `ClassificationOutput`,
      `RegressionOutput`, or `PredictOutput`.

  Returns:
    a list of tensors used in export_output.

  Raises:
    ValueError: if `export_output` is not one of `ClassificationOutput`,
        `RegressionOutput`, or `PredictOutput`.
  """
  if isinstance(export_output, export_output_lib.ClassificationOutput):
    return [export_output.scores, export_output.classes]
  elif isinstance(export_output, export_output_lib.RegressionOutput):
    return [export_output.value]
  elif isinstance(export_output, export_output_lib.PredictOutput):
    return list(export_output.outputs.values())
  else:
    raise ValueError(
        '`export_output` must be have type `ClassificationOutput`, '
        '`RegressionOutput`, or `PredictOutput`; got {}.'.format(export_output))
def _export_output_to_tensors ( export_output ) : if isinstance ( export_output , export_output_lib . ClassificationOutput ) : return [ export_output . scores , export_output . classes ] elif isinstance ( export_output , export_output_lib . RegressionOutput ) : return [ export_output . value ] elif isinstance ( export_output , export_output_lib . PredictOutput ) : return list ( export_output . outputs . values ( ) ) else : raise ValueError ( '`export_output` must be have type `ClassificationOutput`, ' '`RegressionOutput`, or `PredictOutput`; got {}.' . format ( export_output ) )