import tensorflow as tf

  Returns:
    Computed features after split separable conv2d.
  """
  outputs = slim.separable_conv2d(
      inputs,
      None,
      3,
      depth_multiplier=1,
      rate=rate,
      weights_initializer=tf.truncated_normal_initializer(
          stddev=depthwise_weights_initializer_stddev),
      weights_regularizer=None,
      scope=scope + '_depthwise')
  return slim.conv2d(
      outputs,
      filters,
      1,
      weights_initializer=tf.truncated_normal_initializer(
