code: def dict_to_one(dp_dict):
      """Input a dictionary, return a dictionary that all items are set to one.
  
      Used for disable dropout, dropconnect layer and so on.
  
      Parameters
      ----------
      dp_dict : dictionary
          The dictionary contains key and number, e.g. keeping probabilities.
  
      """
      return {x: 1 for x in dp_dict}
  
imports: import os
  import random
  import subprocess
  import sys
  import time
  from collections import Counter
  from sys import exit
  from sys import platform
  import numpy
  import tensorflow
  from sklearn.metrics import accuracy_score, confusion_matrix, f1_score
  import tensorlayer
label_desc: Use image node_id 5 for calling a global function with example usage: dict_to_one(dp_dict) and returns: unknown