code: def add_arguments_conformer_common(group):
      """Add Transformer common arguments."""
      group.add_argument(
          "--transformer-encoder-pos-enc-layer-type",
          type=str,
          default="abs_pos",
          choices=["abs_pos", "scaled_abs_pos", "rel_pos"],
          help="Transformer encoder positional encoding layer type",
      )
      group.add_argument(
          "--transformer-encoder-activation-type",
          type=str,
          default="swish",
          choices=["relu", "hardtanh", "selu", "swish"],
          help="Transformer encoder activation function type",
      )
      group.add_argument(
          "--macaron-style",
          default=False,
          type=strtobool,
          help="Whether to use macaron style for positionwise layer",
      )
      # Attention
      group.add_argument(
          "--zero-triu",
          default=False,
          type=strtobool,
          help="If true, zero the uppper triangular part of attention matrix.",
      )
      # Relative positional encoding
      group.add_argument(
          "--rel-pos-type",
          type=str,
          default="legacy",
          choices=["legacy", "latest"],
          help="Whether to use the latest relative positional encoding or the legacy one."
          "The legacy relative positional encoding will be deprecated in the future."
          "More Details can be found in https://github.com/espnet/espnet/pull/2816.",
      )
      # CNN module
      group.add_argument(
          "--use-cnn-module",
          default=False,
          type=strtobool,
          help="Use convolution module or not",
      )
      group.add_argument(
          "--cnn-module-kernel",
          default=31,
          type=int,
          help="Kernel size of convolution module.",
      )
      return group
  
label_desc: Use image node_id 1 for calling a global function with example usage: add_arguments_conformer_common(group) and returns: group