class_docstr: A helper Enum class for storing the information measure.
class_docstr_tok: ["A","helper","Enum","class","for","storing","the","information","measure","."]
code: def _name() -> str:
      return "Information measure"
  
imports: import os
  from enum import unique
  from typing import TYPE_CHECKING, Dict, List, Optional, Sequence, Tuple, Union
  import torch
  from torch import Tensor
  from torch.nn import functional
  from torch.utils.data import DataLoader
  from typing_extensions import Literal
  from torchmetrics.functional.text.helper_embedding_metric import TokenizedDataset, _get_progress_bar, _input_data_collator, _load_tokenizer_and_model
  from torchmetrics.utilities.enums import EnumStr
  from torchmetrics.utilities.imports import _TRANSFORMERS_GREATER_EQUAL_4_4
label_desc: Use image node_id 1 for calling the _IMEnum obj's underlying member method code with example usage: obj._name() and returns: str