message: Set fused=False for batch norm, because the test assumes no bessel's
  correction. Fused=True would add bessel's correction to variance.
diff: @@ -47,7 +47,7 @@ def logistic_classifier(inputs):
  def batchnorm_classifier(inputs):
  - inputs = layers.batch_norm(inputs, decay=0.1)
  + inputs = layers.batch_norm(inputs, decay=0.1, fused=False)
  return layers.fully_connected(inputs, 1, activation_fn=math_ops.sigmoid)
  