code: def default_logits_adaptor(
      input_tensor: torch.tensor, samples: modALinput
  ):
      # default Callable parameter for get_predictions
      return input_tensor
  
imports: from collections.abc import Mapping
  from typing import Callable
  import numpy
  import torch
  from scipy.special import entr
  from sklearn.base import BaseEstimator
  from skorch.utils import to_numpy
  from modAL.utils.data import modALinput
  from modAL.utils.selection import multi_argmax, shuffled_argmax
label_desc: Use image node_id 1 for calling a global function with example usage: default_logits_adaptor(input_tensor, samples) and returns: input_tensor