class_docstr: A class representing a flag, which must be constant across all instances in a batch.
  This will be passed to a `forward` method as a single value of whatever type you pass in.
class_docstr_tok: ["A","class","representing","a","flag",",","which","must","be","constant","across","all","instances","in","a","batch",".","This","will","be","passed","to","a","`","forward","`","method","as","a","single","value","of","whatever","type","you","pass","in","."]
code: def batch_tensors(self, tensor_list: List[Any]) -> Any:
      if len(set(tensor_list)) != 1:
          raise ValueError(
              f"Got different values in a FlagField when trying to batch them: {tensor_list}"
          )
      return tensor_list[0]
  
file_path: allennlp/allennlp/data/fields/flag_field.py
imports: from typing import Any, Dict, List
  from allennlp.data.fields.field import Field
label_desc: Use image node_id 7 for calling the FlagField obj's underlying member method code with example usage: obj.batch_tensors(tensor_list) and returns: tensor_list