class_docstr: E2E module for Transducer models.
  
  Args:
      idim: Dimension of inputs.
      odim: Dimension of outputs.
      args: Namespace containing model options.
      ignore_id: Padding symbol ID.
      blank_id: Blank symbol ID.
      training: Whether the model is initialized in training or inference mode.
class_docstr_tok: ["E2E","module","for","Transducer","models",".","Args",":","idim",":","Dimension","of","inputs",".","odim",":","Dimension","of","outputs",".","args",":","Namespace","containing","model","options",".","ignore_id",":","Padding","symbol","ID",".","blank_id",":","Blank","symbol","ID",".","training",":","Whether","the","model","is","initialized","in","training","or","inference","mode","."]
docstr: Add general arguments for decoder.
docstr_tok: ["Add","general","arguments","for","decoder","."]
code: def decoder_add_general_arguments(
      parser: ArgumentParser,
  ) -> ArgumentParser:
      """Add general arguments for decoder."""
      group = parser.add_argument_group("Decoder general arguments")
      group = add_decoder_general_arguments(group)
  
      return parser
  
imports: import logging
  import math
  from argparse import ArgumentParser, Namespace
  from dataclasses import asdict
  from typing import List
  import chainer
  import numpy
  import torch
  from espnet.nets.asr_interface import ASRInterface
  from espnet.nets.beam_search_transducer import BeamSearchTransducer
  from espnet.nets.pytorch_backend.nets_utils import get_subsample, make_non_pad_mask
  from espnet.nets.pytorch_backend.transducer.arguments import add_auxiliary_task_arguments, add_custom_decoder_arguments, add_custom_encoder_arguments, add_custom_training_arguments, add_decoder_general_arguments, add_encoder_general_arguments, add_rnn_decoder_arguments, add_rnn_encoder_arguments, add_transducer_arguments
  from espnet.nets.pytorch_backend.transducer.custom_decoder import CustomDecoder
  from espnet.nets.pytorch_backend.transducer.custom_encoder import CustomEncoder
  from espnet.nets.pytorch_backend.transducer.error_calculator import ErrorCalculator
  from espnet.nets.pytorch_backend.transducer.initializer import initializer
  from espnet.nets.pytorch_backend.transducer.rnn_decoder import RNNDecoder
  from espnet.nets.pytorch_backend.transducer.rnn_encoder import encoder_for
  from espnet.nets.pytorch_backend.transducer.transducer_tasks import TransducerTasks
  from espnet.nets.pytorch_backend.transducer.utils import get_decoder_input, valid_aux_encoder_output_layers
  from espnet.nets.pytorch_backend.transformer.attention import MultiHeadedAttention, RelPositionMultiHeadedAttention
  from espnet.nets.pytorch_backend.transformer.mask import target_mask
  from espnet.nets.pytorch_backend.transformer.plot import PlotAttentionReport
  from espnet.utils.fill_missing_args import fill_missing_args
label_desc: Use image node_id 5 for calling the E2E obj's underlying member method code with example usage: obj.decoder_add_general_arguments(parser) and returns: parser