code: def in_xla_context(self):
      return control_flow_util.GraphOrParentsInXlaContext(
          tf1.get_default_graph()
      )
  
imports: import types
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.experimental.util import jit_public_methods
  from tensorflow_probability.python.internal import test_util
  from tensorflow.python.ops import control_flow_util
label_desc: Use image node_id 1 for calling the XLADetector obj's underlying member method code with example usage: obj.in_xla_context() and returns: control_flow_util