code: def local_variable(init_value, name):
      return variable_scope.get_variable(
          name,
          dtype=dtypes.float32,
          initializer=init_value,
          trainable=False,
          collections=[ops.GraphKeys.LOCAL_VARIABLES],
      )
  
imports: import os
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.layers import layers
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import metrics
  from tensorflow.python.ops import state_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops.losses import losses
  from tensorflow.python.platform import test
  from tensorflow.python.training import basic_session_run_hooks
  from tensorflow.python.training import evaluation
  from tensorflow.python.training import gradient_descent
  from tensorflow.python.training import monitored_session
  from tensorflow.python.training import saver
  from tensorflow.python.training import training
label_desc: Use image node_id 2 for calling a global function with example usage: local_variable(init_value, name) and returns: variable_scope