code: def testSimple(self):
      layer = batch_norm.BatchNorm(False, False)
  
      inputs = tf.ones([2, 3, 3, 5])
      scale = tf.constant(0.5, shape=(5,))
      offset = tf.constant(2.0, shape=(5,))
  
      outputs = layer(inputs, True, scale=scale, offset=offset).numpy()
      self.assertAllEqual(outputs, tf.fill(inputs.shape, 2.0))
  
imports: import itertools
  from absl.testing import parameterized
  import numpy
  from sonnet.src import batch_norm
  from sonnet.src import initializers
  from sonnet.src import test_utils
  import tensorflow
label_desc: Use image node_id 1 for calling the BatchNormTest obj's underlying member method code with example usage: obj.testSimple() without return types