class_docstr: _id, batch normalization, activation, dropout, ready
class_docstr_tok: ["_id",",","batch","normalization",",","activation",",","dropout",",","ready"]
code: def get_config(self):
      return {
          "_id": self.id,
          "use_bn": self.use_bn,
          "activation": self.activation,
          "keep_prob": self.keep_prob,
          "pre_activation": self.pre_activation,
      }
  
imports: from .basic_model import BasicModel
  import tensorflow
  import numpy
  import copy
label_desc: Use image node_id 8 for calling the BaseLayer obj's underlying member method code with example usage: obj.get_config() and returns: dict