class_docstr: _id, batch normalization, activation, dropout, ready
class_docstr_tok: ["_id",",","batch","normalization",",","activation",",","dropout",",","ready"]
code: def param_initializer(self):
      if self._init is None:
          return None
      param_initializer = {}
      for key in self.variable_list.keys():
          if self._init[key] is not None:
              param_initializer[key] = tf.constant_initializer(
                  self._init[key]
              )
      if len(param_initializer) == 0:
          param_initializer = None
      return param_initializer
  
imports: from models.basic_model import BasicModel
  import tensorflow
  import numpy
  import copy
label_desc: Use image node_id 5 for calling the BaseLayer obj's underlying member method code with example usage: obj.param_initializer() and returns: param_initializer, None