code: def set_early_exit_entropy(self, x):
      if (type(x) is float) or (type(x) is int):
          for i in range(len(self.early_exit_entropy)):
              self.early_exit_entropy[i] = x
      else:
          self.early_exit_entropy = x
  
imports: import torch
  from torch import nn
  from torch.nn import CrossEntropyLoss, MSELoss
  from transformers.file_utils import add_start_docstrings, add_start_docstrings_to_model_forward
  from transformers.models.bert.modeling_bert import BERT_INPUTS_DOCSTRING, BERT_START_DOCSTRING, BertEmbeddings, BertLayer, BertPooler, BertPreTrainedModel
label_desc: Use image node_id 2 for calling the DeeBertEncoder obj's underlying member method code with example usage: obj.set_early_exit_entropy(x) without return types