Ta的回复 ：报错内容 [2021-04-27 17:59:44,941] [ INFO] - 267 pretrained paramaters loaded by PaddleHub ---------------------------------------------------------------------------AttributeError Traceback (most recent call last) in 16 feature=feature_map, 17 num_classes=dataset.num_labels, ---> 18 config=config) /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=main_program, 48 feed_list=feed_list, ---> 49 startup_program=startup_program, 50 config=config, 51 metrics_choices=metrics_choices) /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 main_program, for_test=False) 297 if startup_program is None: --> 298 self._base_startup_program = clone_program( 299 fluid.default_startup_program(), for_test=False) 300 else: /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 --> 274 def set_parameter_trainable(program, trainable=True): 275 for param in program.global_block().iter_parameters(): 276 param.trainable = trainable /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 param['gradient_clip_attr'] = eval( 146 "fluid.clip.%s(clip_norm = %f, group_name = \"%s\")" % --> 147 (clip_type, clip_norm, group_name)) 148 149 return param /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/common/paddle_helper.py in get_variable_info(var) 63 var_info['lod_level'] = var.lod_level 64 var_info['shape'] = var.shape ---> 65 except: 66 pass 67 AttributeError: 'Parameter' object has no attribute 'gradient_clip_attr'