code: def is_frozen_graph(sess):
      """Determines if the graph is frozen.
  
      Determines if a graph has previously been frozen by checking for any
      operations of type Variable*. If variables are found, the graph is not frozen.
  
      Args:
        sess: TensorFlow Session.
  
      Returns:
        Bool.
      """
      for op in sess.graph.get_operations():
          if op.type.startswith("Variable") or op.type.endswith(
              "VariableOp"
          ):
              return False
      return True
  
imports: import copy
  import datetime
  import sys
  from absl import logging
  import flatbuffers
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.lite.python import conversion_metadata_schema_py_generated
  from tensorflow.lite.python import schema_py_generated
  from tensorflow.lite.python import schema_util
  from tensorflow.lite.python import tflite_keras_util
  from tensorflow.lite.python.op_hint import convert_op_hints_to_stubs
  from tensorflow.lite.python.op_hint import find_all_hinted_output_nodes
  from tensorflow.lite.tools import flatbuffer_utils
  from tensorflow.python.eager import function
  from tensorflow.python.framework import convert_to_constants
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import error_interpolation
  from tensorflow.python.grappler import tf_optimizer
  from tensorflow.python.training.saver import export_meta_graph
label_desc: Use image node_id 10 for calling a global function with example usage: is_frozen_graph(sess) and returns: True, False