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
      """
      batch = ord("a")
      start = batch + 1
      tensor_sym = [
          f"{chr(start+i)}" for i, _ in enumerate(tensor.shape)
      ]
      out_sym = tensor_sym[1:] * order
      eq = "".join(tensor_sym) + "->" + "".join(out_sym)
  
      return tl.einsum(eq, tensor)
  
label_desc: Use image node_id 1 for calling a global function with example usage: higher_order_moment(tensor, order) and returns: tl