code: def testInfNanMonitorOnExecutionUnderModeWithNoInfNanInfo(
      self, tensor_debug_mode, debug_tensor_values
  ):
      mock_reader = test.mock.MagicMock()
      monitor = debug_events_monitors.InfNanMonitor(mock_reader)
      execution_digest = debug_events_reader.ExecutionDigest(
          1234, 1, "BarOp", output_tensor_device_ids=[0, 1]
      )
  
      execution = debug_events_reader.Execution(
          execution_digest,
          "worker01",
          ["a1", "b2", "e3"],
          tensor_debug_mode,
          graph_id=None,
          input_tensor_ids=[12, 34],
          output_tensor_ids=[56, 78],
          debug_tensor_values=debug_tensor_values,
      )
      monitor.on_execution(60, execution)
  
      self.assertEmpty(monitor.alerts())
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.core.protobuf import debug_event_pb2
  from tensorflow.python.debug.lib import debug_events_monitors
  from tensorflow.python.debug.lib import debug_events_reader
  from tensorflow.python.debug.lib import dumping_callback
  from tensorflow.python.debug.lib import dumping_callback_test_lib
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  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.platform import googletest
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the InfNanMonitorTest obj's underlying member method code with example usage: obj.testInfNanMonitorOnExecutionUnderModeWithNoInfNanInfo(tensor_debug_mode, debug_tensor_values) without return types