code: def higher_order_moment(tensor, order):
      """Computes the Higher-Order Momemt
  
      Parameters
      ----------
      tensor : 2D-tensor -- or ND-tensor
          matrix of size (n_samples, n_features)
          or tensor of size(n_samples, D1, ..., DN)
  
      order : int
          order of the higher-order moment to compute
  
      Returns
      -------
      tensor : moment
          if tensor is a matrix of size (n_samples, n_features),
          tensor of size (n_features, )*order
      """
      moment = tensor
      for _ in range(order - 1):
          moment = batched_outer(moment, tensor)
  
      return tl.mean(moment, axis=0)
  
label_desc: Use image node_id 1 for calling a global function with example usage: higher_order_moment(tensor, order) and returns: tl