code: def decode(pieces, sequence_length, model_file=None, model_proto=None,
             reverse=False, name=None):
    
  
    return _gen_sentencepiece_processor_op.sentencepiece_decode(
        pieces, sequence_length, model_file=model_file,
        model_proto=model_proto, reverse=reverse, name=name)
docs: Decode pieces into postprocessed text.
  
    Args:
      pieces: A 2D int32 or string tensor [batch_size x max_length] of
              encoded sequences.
      sequence_length: A 1D int32 tensor [batch_size] representing the
                     length of pieces.
      model_file: The sentencepiece model file path.
      model_proto: The sentencepiece model serialized proto.
                   Either `model_file` or `model_proto` must be set.
      reverse: Reverses the tokenized sequence (Default = false)
      name: The name argument that is passed to the op function.
  
    Returns:
      text: A 1D string tensor of decoded string.