code: def direction_neuron(
      layer_name, vec, x=None, y=None, cossim_pow=0, batch=None
  ):
      """Visualize a single (x, y) position along the given direction"""
      vec = vec.astype("float32")
  
      @handle_batch(batch)
      def inner(T):
          layer = T(layer_name)
          layer = _extract_act_pos(layer, x, y)
          return _dot_cossim(
              layer, vec[None, None, None], cossim_pow=cossim_pow
          )
  
      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 6 for calling a global function with example usage: direction_neuron(layer_name, vec, x, y, cossim_pow, batch) and returns: inner, _dot_cossim