code: def decode(self, x: str) -> str:
      return self.bpe.decode(
          [
              int(tok) if tok not in {"<unk>", "<mask>"} else tok
              for tok in x.split()
          ]
      )
  
file_path: fairseq/fairseq/data/encoders/gpt2_bpe.py
imports: from dataclasses import dataclass, field
  from fairseq import file_utils
  from fairseq.data.encoders import register_bpe
  from fairseq.dataclass import FairseqDataclass
  from .gpt2_bpe_utils import get_encoder
label_desc: Use image node_id 3 for calling the GPT2BPE obj's underlying member method code with example usage: obj.decode(x) and returns: self