code: def allow_memory_growth():
      """Sets the GPUs to grow the memory usage as is needed by the process."""
      gpus = tf.config.experimental.list_physical_devices("GPU")
      if gpus:
          try:
              # Currently, memory growth needs to be the same across GPUs.
              for gpu in gpus:
                  tf.config.experimental.set_memory_growth(gpu, True)
          except RuntimeError as e:
              # Memory growth must be set before GPUs have been initialized.
              print(e)
  
file_path: ddsp/ddsp/training/ddsp_run.py
imports: import os
  import time
  from absl import app
  from absl import flags
  from absl import logging
  from ddsp.training import cloud
  from ddsp.training import eval_util
  from ddsp.training import models
  from ddsp.training import train_util
  from ddsp.training import trainers
  import gin
  import pkg_resources
  import tensorflow
label_desc: Use image node_id 3 for calling a global function with example usage: allow_memory_growth() without return types