code: def is_experimental_feature_activated(feature_name):
      """Determines if a TF-TRT experimental feature is enabled.
  
      This helper function checks if an experimental feature was enabled using
      the environment variable `TF_TRT_EXPERIMENTAL_FEATURES=feature_1,feature_2`.
  
      Args:
        feature_name: Name of the feature being tested for activation.
      """
  
      return feature_name in os.environ.get(
          "TF_TRT_EXPERIMENTAL_FEATURES", default=""
      ).split(",")
  
imports: import collections
  import os
  import re
  from packaging import version
  from tensorflow.compiler.tf2tensorrt import _pywrap_py_utils
  from tensorflow.core.protobuf import rewriter_config_pb2
  from tensorflow.python.framework import dtypes
label_desc: Use image node_id 6 for calling a global function with example usage: is_experimental_feature_activated(feature_name) and returns: unknown