code: def testMode(self):
      with self.cached_session():
          histograms = [[[0.2, 0.8], [0.6, 0.4]]]
          dist = categorical.Categorical(
              math_ops.log(histograms) - 50.0
          )
          self.assertAllEqual(dist.mode(), [[1, 0]])
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  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 gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops.distributions import categorical
  from tensorflow.python.ops.distributions import kullback_leibler
  from tensorflow.python.ops.distributions import normal
  from tensorflow.python.platform import test
label_desc: Use image node_id 24 for calling the CategoricalTest obj's underlying member method code with example usage: obj.testMode() without return types