code: def MetadataHasXlaRunOp(run_metadata):
      """Returns true if there are XlaRun kernels in run_metadata's timeline."""
  
      # TODO(phawkins): find a less hacky way to test whether a kernel ran.
      return InLabels(RunMetadataLabels(run_metadata), "_XlaRun")
  
imports: import os
  import numpy
  from tensorflow.compiler.tests import test_utils
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import rewriter_config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.compiler.xla import jit
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import while_loop
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling a global function with example usage: MetadataHasXlaRunOp(run_metadata) and returns: InLabels