code: def set_gpu_fraction(gpu_fraction=0.3):
      """Set the GPU memory fraction for the application.
  
      Parameters
      ----------
      gpu_fraction : None or float
          Fraction of GPU memory, (0 ~ 1]. If None, allow gpu memory growth.
  
      References
      ----------
      - `TensorFlow using GPU <https://www.tensorflow.org/alpha/guide/using_gpu#allowing_gpu_memory_growth>`__
  
      """
      if gpu_fraction is None:
          tl.logging.info("[TL]: ALLOW GPU MEM GROWTH")
          tf.config.gpu.set_per_process_memory_growth(True)
      else:
          tl.logging.info("[TL]: GPU MEM Fraction %f" % gpu_fraction)
          tf.config.gpu.set_per_process_memory_fraction(0.4)
  
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 13 for calling a global function with example usage: set_gpu_fraction(gpu_fraction) without return types