139     for model_name in tqdm(model_names):
140       print(datetime.datetime.now(), 'Processing', model_name)
141       html_data += '<h3>{}</h3>'.format(model_name)
142       model_data = ModelData(nnapi_model_name=model_name, manager=self)
151   def generate_hist_animation_html(self, model_name):  argument
153     html_data = '<h3>{}</h3>'.format(model_name)
154     model_data = ModelData(nnapi_model_name=model_name, manager=self)
157     print(datetime.datetime.now(), "Done histogram for", model_name)
158     self.return_dict[model_name + "-hist"] = html_data
160   def generate_heatmap_animation_html(self, model_name):  argument
162     model_data = ModelData(nnapi_model_name=model_name, manager=self)
165     print(datetime.datetime.now(), "Done heatmap for", model_name)
166     self.return_dict[model_name + "-heatmap"] = html_data
178     for model_name in model_names:
180         p = multiprocessing.Process(target=target_func, args=(model_name,))
188       for model_name in model_names:
189         f.write(self.return_dict[model_name + "-hist"])
190         f.write(self.return_dict[model_name + "-heatmap"])
425   def __init__(self, dump_dir_list, android_build_top, tflite_model_json_dir, model_name):  argument
429     self.set_model_name(model_name)
431   def set_model_name(self, model_name):  argument
433     self.model_name = model_name
444       model_data = ModelData(nnapi_model_name=self.model_name, manager=manager)
534   if args.no_parallel or args.model_name:
539   if args.model_name:
540     model_data = ModelData(nnapi_model_name=model_name, manager=manager)
542     generation_func(output_file_path=output_file_path, model_names=[args.model_name])