message: Change inception v2 and v3 to use fused batchnorm
  RELNOTES: Enable fused batchnorm on inception v2 and v3
diff: @@ -676,7 +676,8 @@ def _reduced_kernel_size_for_small_input(input_tensor, kernel_size):
  def inception_v3_arg_scope(weight_decay=0.00004,
  stddev=0.1,
  - batch_norm_var_collection='moving_vars'):
  + batch_norm_var_collection='moving_vars',
  + use_fused_batchnorm=True):
  """Defines the default InceptionV3 arg scope.
  Args:
  @@ -684,6 +685,7 @@ def inception_v3_arg_scope(weight_decay=0.00004,
  stddev: The standard deviation of the trunctated normal weight initializer.
  batch_norm_var_collection: The name of the collection for the batch norm
  variables.
  + use_fused_batchnorm: Enable fused batchnorm.
  Returns:
  An `arg_scope` to use for the inception v3 model.
  @@ -695,6 +697,8 @@ def inception_v3_arg_scope(weight_decay=0.00004,
  'epsilon': 0.001,
  # collection containing update_ops.
  'updates_collections': ops.GraphKeys.UPDATE_OPS,
  + # Use fused batch norm if possible.
  + 'fused': use_fused_batchnorm,
  # collection containing the moving mean and moving variance.
  'variables_collections': {
  'beta': None,
  