code: def testMode(self):
      sample = [
          [[0, 0], [0, 1]],
          [[0, 0], [2, 4]],
          [[0, 1], [2, 4]],
          [[0, 1], [1, 2]],
          [[0, 1], [1, 2]],
          [[0, 2], [2, 4]],
      ]
  
      expected_mode = [[0, 1], [1, 2]]
  
      input_ = tf.convert_to_tensor(value=sample, dtype=np.int32)
      input_ph = tf1.placeholder_with_default(
          input_, shape=input_.shape if self.static_shape else None
      )
      dist = empirical.Empirical(
          samples=input_ph, event_ndims=2, validate_args=True
      )
      self.assertAllClose(self.evaluate(dist.mode()), expected_mode)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import empirical
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 8 for calling the EmpiricalNdTest obj's underlying member method code with example usage: obj.testMode() without return types