class_docstr: This is an example input baseline generator for DocNN model which uses
  word and dict features.
class_docstr_tok: ["This","is","an","example","input","baseline","generator","for","DocNN","model","which","uses","word","and","dict","features","."]
code: def _generate_dict_baseline(self, seq_length):
      return (
          self.baseline_single_dict_feature[0].repeat(1, seq_length),
          self.baseline_single_dict_feature[1].repeat(1, seq_length),
          self.baseline_single_dict_feature[2].repeat(1, seq_length),
      )
  
imports: from collections import defaultdict
  import torch
  from pytext.models.embeddings.dict_embedding import DictEmbedding
  from pytext.models.embeddings.word_embedding import WordEmbedding
  from pytext.models.model import EmbeddingBase, EmbeddingList
label_desc: Use image node_id 6 for calling the BaselineGenerator obj's underlying member method code with example usage: obj._generate_dict_baseline(seq_length) and returns: self,  self,  self