code: def _dict_trainable_getter(sess):
      def _get(td, attr=None):
          return {k: _trainable_getter(sess)(td[k]) for k in td.keys()}
  
      return _get
  
imports: import tensorflow
  import numpy
  from cntk.contrib import crosstalk
label_desc: Use image node_id 5 for calling a global function with example usage: _dict_trainable_getter(sess) and returns: _get, unknown