code: def bias_weights(length, param_list=None, name=""):
      "theano shared variable for bias unit, given length"
      bias_initialization = np.zeros(length).astype(
          theano.config.floatX
      )
  
      bias = theano.shared(bias_initialization, name=name)
  
      if param_list is not None:
          param_list.append(bias)
  
      return bias
  
imports: from __future__ import absolute_import, print_function, division
  import theano
  import theano.tensor
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: bias_weights(length, param_list, name) and returns: bias