code: def test_zero_deviation(self):
      batch_size = 8
      resolution = 64
      n_channels = 3
  
      batch = tf.ones([batch_size, resolution, resolution, n_channels])
  
      layer = minibatch_standarddeviation.MiniBatchStandardDeviation()
      layer.build(batch.shape)
  
      is_equal = tf.equal(
          layer.call(batch),
          tf.concat(
              [batch, tf.broadcast_to(0.0, batch.shape[:-1] + [1])], 3
          ),
      )
  
      self.assertTrue(tf.math.reduce_all(is_equal))
  
file_path: graphics/tensorflow_graphics/projects/gan/minibatch_standarddeviation_test.py
imports: import tensorflow
  from tensorflow_graphics.projects.gan import minibatch_standarddeviation
  from tensorflow_graphics.util import test_case
label_desc: Use image node_id 1 for calling the MinibatchStandarddeviationTest obj's underlying member method code with example usage: obj.test_zero_deviation() without return types