code: def get_default_cnn_tf_params():
      """Default MLP training parameters for tensorflow."""
      return {
          "trainBatchSize": 32,
          "valiBatchSize": 32,
          "trainNumStepsPerLoop": 2000,
          "valiNumStepsPerLoop": 616,
      }
  
file_path: dragonfly/examples/nas/cnn_function_caller.py
imports: from copy import deepcopy
  import os
  import shutil
  import tempfile
  from time import sleep
  from nn_function_caller import NNFunctionCaller
  from cg.cifar import run_tensorflow_cifar
label_desc: Use image node_id 1 for calling a global function with example usage: get_default_cnn_tf_params() and returns: dict