code: def _conv2d_setter(sess):
      def _set(pd, raw_value, attr):
          _trainable_setter(sess)(pd.W, raw_value.W.transpose(1, 2, 0))
          if pd.b:
              _trainable_setter(sess)(pd.b, raw_value.b)
  
      return _set
  
imports: import tensorflow
  import numpy
  from cntk.contrib import crosstalk
label_desc: Use image node_id 8 for calling a global function with example usage: _conv2d_setter(sess) and returns: _set