code: def testDebugNumericSummaryV2OpConciseHealthSmall(self):
      def debug_summary(x):
          return (
              self.evaluate(
                  gen_debug_ops.debug_numeric_summary_v2(
                      x,
                      tensor_debug_mode=(
                          debug_event_pb2.TensorDebugMode.CONCISE_HEALTH
                      ),
                      tensor_id=x._id,
                      output_dtype=dtypes.float64,
                  )
              ),
              x._id,
          )
  
      tensor, tensor_id = debug_summary(constant_op.constant([]))
      self.assertAllEqual(tensor, [tensor_id, 0.0, 0.0, 0.0, 0.0])
  
      tensor, tensor_id = debug_summary(constant_op.constant(42.0))
      self.assertAllEqual(tensor, [tensor_id, 1.0, 0.0, 0.0, 0.0])
  
      tensor, tensor_id = debug_summary(
          constant_op.constant([3.0, 4.0])
      )
      self.assertAllEqual(tensor, [tensor_id, 2.0, 0.0, 0.0, 0.0])
  
      tensor, tensor_id = debug_summary(
          constant_op.constant(np.array([3.0, -np.inf]))
      )
      self.assertAllEqual(tensor, [tensor_id, 2.0, 1.0, 0.0, 0.0])
  
      tensor, tensor_id = debug_summary(
          constant_op.constant(np.array([[0, 0], [np.nan, 0]]))
      )
      self.assertAllEqual(tensor, [tensor_id, 4.0, 0.0, 0.0, 1.0])
  
      tensor, tensor_id = debug_summary(
          constant_op.constant(np.array([[0, 0], [np.nan, np.inf]]))
      )
      self.assertAllEqual(tensor, [tensor_id, 4.0, 0.0, 1.0, 1.0])
  
      tensor, tensor_id = debug_summary(
          constant_op.constant(
              np.array([[0, np.inf], [np.nan, -np.inf]])
          )
      )
      self.assertAllEqual(tensor, [tensor_id, 4.0, 1.0, 1.0, 1.0])
  
imports: import os
  import numpy
  from tensorflow.core.protobuf import debug_event_pb2
  from tensorflow.python.debug.lib import debug_events_reader
  from tensorflow.python.debug.lib import debug_events_writer
  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 errors
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_debug_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 7 for calling the DebugNumericSummaryV2Test obj's underlying member method code with example usage: obj.testDebugNumericSummaryV2OpConciseHealthSmall() and returns: self,  x