code: def remove_bpe(self, str_with_subword):
      if isinstance(str_with_subword, list):
          return [self.remove_bpe(ss) for ss in str_with_subword]
      symbol = "@@ "
      return str_with_subword.replace(symbol, "").strip()
  
imports: import os
  import resource
  import numpy
  import torch
  from torch.utils.data import DataLoader
  from torch.utils.tensorboard import SummaryWriter
  from graph4nlp.pytorch.models.graph2seq import Graph2Seq
  from graph4nlp.pytorch.modules.evaluation import BLEU
  from args import get_args
  from dataset import IWSLT14Dataset
  from utils import get_log, wordid2str
label_desc: Use image node_id 7 for calling the NMT obj's underlying member method code with example usage: obj.remove_bpe(str_with_subword) and returns: str_with_subword, unknown