code: def pad_tensor(x, max_len):
      """Pad tensors with zeros.
  
      Args:
          x (numpy.ndarray): Tensors to be padded.
          max_len (int): Maximum length.
  
      Returns:
          numpy.ndarray: Padded tensor.
      """
      return np.concatenate(
          [
              x,
              np.tile(
                  np.zeros_like(x[0]),
                  (max_len - len(x),) + (1,) * np.ndim(x[0]),
              ),
          ]
      )
  
imports: import collections
  import numpy
  import tensorflow
label_desc: Use image node_id 16 for calling a global function with example usage: pad_tensor(x, max_len) and returns: np