class_docstr: Builds and/or loads a dictionary.
  
  All code is TorchScriptable.
class_docstr_tok: ["Builds","and\/or","loads","a","dictionary",".","All","code","is","TorchScriptable","."]
docstr: Return a sequence of BPE-tokens from the text.
docstr_tok: ["Return","a","sequence","of","BPE-tokens","from","the","text","."]
code: def bpe_tokenize(self, text: str) -> List[str]:
      """
      Return a sequence of BPE-tokens from the text.
      """
      return self.subword_bpe.encode(text)
  
imports: from typing import Dict, List, Tuple
  import torch.jit
label_desc: Use image node_id 5 for calling the ScriptableDictionaryAgent obj's underlying member method code with example usage: obj.bpe_tokenize(text) and returns: self