code: def fprop(self, x):
      with tf.variable_scope("input", reuse=tf.AUTO_REUSE):
          input_standardized = tf.map_fn(
              lambda img: tf.image.per_image_standardization(img), x
          )
          return _conv(
              "init_conv", input_standardized, 3, 3, 16, _stride_arr(1)
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from cleverhans.serial import NoRefModel
label_desc: Use image node_id 3 for calling the Input obj's underlying member method code with example usage: obj.fprop(x) and returns: _conv