code: def decoder_for(args, odim, sos, eos, att, labeldist):
      return Decoder(
          args.eprojs,
          odim,
          args.dtype,
          args.dlayers,
          args.dunits,
          sos,
          eos,
          att,
          args.verbose,
          args.char_list,
          labeldist,
          args.lsm_weight,
          args.sampling_probability,
          args.dropout_rate_decoder,
          getattr(
              args, "context_residual", False
          ),  # use getattr to keep compatibility
          getattr(
              args, "replace_sos", False
          ),  # use getattr to keep compatibility
          getattr(args, "num_encs", 1),
      )
  
imports: import logging
  import math
  import random
  from argparse import Namespace
  import numpy
  import torch
  import torch.nn.functional
  from espnet.nets.ctc_prefix_score import CTCPrefixScore, CTCPrefixScoreTH
  from espnet.nets.e2e_asr_common import end_detect
  from espnet.nets.pytorch_backend.nets_utils import mask_by_length, pad_list, th_accuracy, to_device
  from espnet.nets.pytorch_backend.rnn.attentions import att_to_numpy
  from espnet.nets.scorer_interface import ScorerInterface
label_desc: Use image node_id 1 for calling a global function with example usage: decoder_for(args, odim, sos, eos, att, labeldist) and returns: Decoder