code: def get_variable_names(graph, scope):
      """Finds all the variable names in a graph that begin with a given scope.
  
      Args:
        graph: A tensorflow graph.
        scope: A string scope.
      Returns:
        List of variables.
      """
      with graph.as_default():
          return [
              v.name
              for v in tf.global_variables()
              if v.name.startswith(scope)
          ]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import random
  from magenta.contrib import training
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 12 for calling a global function with example usage: get_variable_names(graph, scope) and returns: unknown