code: def create_random_weight(shape):
      initializer = init.Normal()
      weight = initializer.sample(shape)
      return tf.Variable(asfloat(weight), dtype=tf.float32)
  
imports: import os
  import argparse
  from functools import partial
  import tensorflow
  from neupy import init, algorithms, storage
  from neupy.layers import *
  from neupy.utils import as_tuple, asfloat, tf_utils, tensorflow_session
  from loaddata import load_data
  from settings import MODELS_DIR, environments
  from evaluation import evaluate_accuracy
label_desc: Use image node_id 1 for calling a global function with example usage: create_random_weight(shape) and returns: tf