Created by: smart022

在AI studio中执行 rbtl3的示例代码后报错

import paddlehub as hub

# Load $ hub install rbtl3 pretrained model
module = hub.Module(name="rbtl3")
inputs, outputs, program = module.context(trainable=True, max_seq_len=128)

# Must feed all the tensor of rbtl3's module need
input_ids = inputs["input_ids"]
position_ids = inputs["position_ids"]
segment_ids = inputs["segment_ids"]
input_mask = inputs["input_mask"]

# Use "pooled_output" for sentence-level output.
pooled_output = outputs["pooled_output"]

# Use "sequence_output" for token-level output.
sequence_output = outputs["sequence_output"]

# Use "get_embedding" to get embedding result.
embedding_result = module.get_embedding(texts=[["Sample1_text_a"],["Sample2_text_a","Sample2_text_b"]], use_gpu=True)

# Use "get_params_layer" to get params layer and used to ULMFiTStrategy.
params_layer = module.get_params_layer()
strategy = hub.finetune.strategy.ULMFiTStrategy(params_layer=params_layer)

提示不存在属性 'Parameter' object has no attribute 'gradient_clip_attr'

---------------------------------------------------------------------------AttributeError                            Traceback (most recent call last)<ipython-input-18-8e630ad859b4> in <module>
     16 
     17 # Use "get_embedding" to get embedding result.
---> 18 embedding_result = module.get_embedding(texts=[["Sample1_text_a"],["Sample2_text_a","Sample2_text_b"]], use_gpu=True)
     19 
     20 # Use "get_params_layer" to get params layer and used to ULMFiTStrategy.
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/module/nlp_module.py in get_embedding(self, texts, use_gpu, batch_size)
    406             param.trainable = trainable
    407             match = re.match(r'.*layer_(\d+).*', param.name)
--> 408             if match:
    409                 # layer num begins from 0
    410                 layer = match.group(1)
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/module/nlp_module.py in __init__(self, pooled_feature, seq_feature, feed_list, data_reader, config)
    223             main_program=main_program,
    224             data_reader=data_reader,
--> 225             feed_list=feed_list,
    226             config=config,
    227             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 
    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'

使用的paddle hub 版本包括 1.6.2 , 1.7.0， 均会出现该问题

• 版本、环境信息 1）PaddleHub和PaddlePaddle版本：1.6.2 , 1.7.0 2）系统环境：AI studio