code: def reduce_function(op_func, input_tensor, axis=None, keepdims=None,
                      name=None, reduction_indices=None):
    
  
    warnings.warn("`reduce_function` is deprecated and may be removed on or after 2019-09-08.")
  
    out = op_func(input_tensor, axis=axis, keepdims=keepdims, name=name, reduction_indices=reduction_indices)
  
    return out
docs: This function used to be needed to support tf 1.4 and early, but support for tf 1.4 and earlier is now dropped.
    :param op_func: expects the function to handle eg: tf.reduce_sum.
    :param input_tensor: The tensor to reduce. Should have numeric type.
    :param axis: The dimensions to reduce. If None (the default),
            reduces all dimensions. Must be in the range
            [-rank(input_tensor), rank(input_tensor)).
    :param keepdims: If true, retains reduced dimensions with length 1.
    :param name: A name for the operation (optional).
    :param reduction_indices: The old (deprecated) name for axis.
    :return: outputs same value as op_func.