code: def init_search(self):
          
          if self.verbose:
              logger.info("Initializing search.")
          for generator in self.generators:
              graph = generator(self.n_classes, self.input_shape).generate(
                  self.default_model_len, self.default_model_width
              )
              model_id = self.model_count
              self.model_count += 1
              self.training_queue.append((graph, -1, model_id))
              self.descriptors.append(graph.extract_descriptor())
  
          if self.verbose:
              logger.info("Initialization finished.")
docs: Call the generators to generate the initial architectures for the search.