class_docstr: E2E module.
  
  :param int idim: dimension of inputs
  :param int odim: dimension of outputs
  :param Namespace args: argument Namespace containing options
docstr: Add arguments.
code: def add_arguments(parser):
      """Add arguments."""
      group = parser.add_argument_group("transformer model setting")
  
      group = add_arguments_transformer_common(group)
  
      return parser
  
imports: import logging
  import math
  from argparse import Namespace
  import numpy
  import torch
  from espnet.nets.asr_interface import ASRInterface
  from espnet.nets.ctc_prefix_score import CTCPrefixScore
  from espnet.nets.e2e_asr_common import ErrorCalculator, end_detect
  from espnet.nets.pytorch_backend.ctc import CTC
  from espnet.nets.pytorch_backend.e2e_asr import CTC_LOSS_THRESHOLD, Reporter
  from espnet.nets.pytorch_backend.nets_utils import get_subsample, make_non_pad_mask, th_accuracy
  from espnet.nets.pytorch_backend.rnn.decoders import CTC_SCORING_RATIO
  from espnet.nets.pytorch_backend.transformer.add_sos_eos import add_sos_eos
  from espnet.nets.pytorch_backend.transformer.argument import add_arguments_transformer_common
  from espnet.nets.pytorch_backend.transformer.attention import MultiHeadedAttention, RelPositionMultiHeadedAttention
  from espnet.nets.pytorch_backend.transformer.decoder import Decoder
  from espnet.nets.pytorch_backend.transformer.dynamic_conv import DynamicConvolution
  from espnet.nets.pytorch_backend.transformer.dynamic_conv2d import DynamicConvolution2D
  from espnet.nets.pytorch_backend.transformer.encoder import Encoder
  from espnet.nets.pytorch_backend.transformer.initializer import initialize
  from espnet.nets.pytorch_backend.transformer.label_smoothing_loss import LabelSmoothingLoss
  from espnet.nets.pytorch_backend.transformer.mask import subsequent_mask, target_mask
  from espnet.nets.pytorch_backend.transformer.plot import PlotAttentionReport
  from espnet.nets.scorers.ctc import CTCPrefixScorer
  from espnet.utils.fill_missing_args import fill_missing_args
label_desc: Use image node_id 1 for calling the E2E obj's underlying member method code with example usage: obj.add_arguments(parser) and returns: parser