Created by: Cai-Yao

• 版本、环境信息 1）PaddleHub1.7.0，PaddlePaddle1.8.0 2）系统环境：AI Studio notebook
• 复现信息： 代码： cls_task = hub.TextClassifierTask( data_reader=reader, feature=pooled_output, feed_list=feed_list, num_classes=dataset.num_labels, config=config, metrics_choices=["f1"] ) 报错： ---------------------------------------------------------------------------AttributeError Traceback (most recent call last) in 5 num_classes=dataset.num_labels, 6 config=config, ----> 7 metrics_choices=["f1"] 8 ) /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/classifier_task.py in init(self, feature, num_classes, feed_list, data_reader, startup_program, config, hidden_units, metrics_choices) 178 hidden_units=None, 179 metrics_choices="default"): --> 180 """ 181 Args: 182 num_classes: total labels of the text classification task. /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/classifier_task.py in init(self, feature, num_classes, feed_list, data_reader, startup_program, config, hidden_units, metrics_choices) 47 main_program = feature.block.program 48 super(ClassifierTask, self).init( ---> 49 data_reader=data_reader, 50 main_program=main_program, 51 feed_list=feed_list, /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py in init(self, feed_list, data_reader, main_program, startup_program, config, metrics_choices) 296 297 else: --> 298 self._base_main_program = clone_program( 299 main_program, for_test=False) 300 if startup_program is None: /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/common/paddle_helper.py in clone_program(origin_program, for_test) 272 273 def clone_program(origin_program, for_test=False): --> 274 dest_program = fluid.Program() 275 _copy_vars_and_ops_in_blocks(origin_program.global_block(), 276 dest_program.global_block()) /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/common/paddle_helper.py in _copy_vars_and_ops_in_blocks(from_block, to_block) 145 146 def _copy_vars_and_ops_in_blocks(from_block, to_block): --> 147 for var in from_block.vars: 148 var = from_block.var(var) 149 var_info = copy.deepcopy(get_variable_info(var)) /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/common/paddle_helper.py in get_variable_info(var) 63 var_info['trainable'] = var.trainable 64 var_info['optimize_attr'] = var.optimize_attr ---> 65 var_info['regularizer'] = var.regularizer 66 if not version_compare(paddle.version, '1.8'): 67 var_info['gradient_clip_attr'] = var.gradient_clip_attr AttributeError: 'Parameter' object has no attribute 'gradient_clip_attr'