code: def TestRandomGraph(self, sess, op_placement=None, random_seed=None):
      debug_mode = False
      if op_placement is None:
          op_placement = self._GenerateOperationPlacement()
      else:
          debug_mode = True
      if random_seed is None:
          random_seed = random.randint(0, 1 << 31)
      else:
          debug_mode = True
      logging.info("Virtual gpu functional test for random graph...")
      logging.info("operation placement: %s", str(op_placement))
      logging.info("random seed: %d", random_seed)
  
      # Run with multiple virtual gpus.
      result_vgd = self._TestRandomGraphWithDevices(
          sess,
          random_seed,
          op_placement,
          self.devices,
          debug_mode=debug_mode,
      )
      # Run with single cpu.
      result_cpu = self._TestRandomGraphWithDevices(
          sess,
          random_seed,
          op_placement,
          ["/cpu:0"] * self._num_devices,
          debug_mode=debug_mode,
      )
      # Test the result
      for i in range(self._dim):
          for j in range(self._dim):
              if result_vgd[i][j] != result_cpu[i][j]:
                  logging.error(
                      "Result mismatch at row %d column %d: expected %f, actual %f",
                      i,
                      j,
                      result_cpu[i][j],
                      result_vgd[i][j],
                  )
                  logging.error("Devices: %s", self.devices)
                  logging.error(
                      "Memory limits (in MB): %s", self._mem_limits_mb
                  )
                  return False
      return True
  
imports: import random
  import numpy
  from google.protobuf import text_format
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 6 for calling the VirtualGpuTestUtil obj's underlying member method code with example usage: obj.TestRandomGraph(sess, op_placement, random_seed) and returns: True, False