class_docstr: To implement the `influence` method, classes inheriting from `TracInCPBase` will
  separately implement the private `_self_influence`, `_get_k_most_influential`,
  and `_influence` methods. The public `influence` method is a wrapper for these
  private methods.
docstr: Create readable class name.  Due to the nature of the names of `TracInCPBase`
  subclasses, simplies returns the class name.  For example, for a class called
  TracInCP, we return the string TracInCP.
  
  Returns:
      name (str): a readable class name
docstr_tok: ["Create","readable","class","name",".","Due","to","the","nature","of","the","names","of","`","TracInCPBase","`","subclasses",",","simplies","returns","the","class","name",".","For","example",",","for","a","class","called","TracInCP",",","we","return","the","string","TracInCP",".","Returns",":","name","(","str",")",":","a","readable","class","name"]
code: def get_name(cls: Type["TracInCPBase"]) -> str:
      r"""
      Create readable class name.  Due to the nature of the names of `TracInCPBase`
      subclasses, simplies returns the class name.  For example, for a class called
      TracInCP, we return the string TracInCP.
  
      Returns:
          name (str): a readable class name
      """
      return cls.__name__
  
imports: import glob
  import warnings
  from abc import abstractmethod
  from os.path import join
  from typing import Any, Callable, Iterator, List, Optional, Tuple, Type, Union
  import torch
  from captum._utils.av import AV
  from captum._utils.common import _parse_version
  from captum._utils.progress import NullProgress, progress
  from captum.influence._core.influence import DataInfluence
  from captum.influence._utils.common import _check_loss_fn, _compute_jacobian_sample_wise_grads_per_batch, _format_inputs_dataset, _get_k_most_influential_helper, _gradient_dot_product, _influence_route_to_helpers, _load_flexible_state_dict, _self_influence_by_batches_helper, _set_active_parameters, KMostInfluentialResults
  from captum.log import log_usage
  from torch import Tensor
  from torch.nn import Module
  from torch.utils.data import DataLoader, Dataset
label_desc: Use image node_id 6 for calling the TracInCPBase obj's underlying member method code with example usage: obj.get_name(cls) and returns: cls