code: def blur_alpha_each_step():
      def inner(T):
          t_input = T("input")[..., 3:4]
          t_input_blurred = tf.stop_gradient(_tf_blur(t_input))
          return 0.5 * tf.reduce_sum((t_input - t_input_blurred) ** 2)
  
      return inner
  
imports: from __future__ import absolute_import, division, print_function
  from decorator import decorator
  import numpy
  import tensorflow
  from lucid.optvis.objectives_util import _dot, _dot_cossim, _extract_act_pos, _make_arg_str, _T_force_NHWC, _T_handle_batch
label_desc: Use image node_id 14 for calling a global function with example usage: blur_alpha_each_step() and returns: inner, unknown