1. 配置:
   cpu推理。
   mac系统,docker部署,python的flask服务部署。
   paddle版本：2.1.1 。 paddlenlp版本: 2.0.0。 python:3.6。
   模型参考地址: https://aistudio.baidu.com/aistudio/projectdetail/2579580?forkThirdPart=1
2. 报错信息:
   outputs, lens, decodes = model.predict(test_data=test_loader)
   #ValueError: underlying buffer has been detached
3. 详细日志:
   [08/Nov/2021 11:09:12] "GET /predict?img_path=/PaddleOCR/data/ HTTP/1.1" 500 -
   Traceback (most recent call last):
   File "/usr/local/lib/python3.6/dist-packages/flask/app.py", line 2091, incall
   return self.wsgi_app(environ, start_response)
   File "/usr/local/lib/python3.6/dist-packages/flask/app.py", line 2076, in wsgi_app
   response = self.handle_exception(e)
   File "/usr/local/lib/python3.6/dist-packages/flask/app.py", line 2073, in wsgi_app
   response = self.full_dispatch_request()
   File "/usr/local/lib/python3.6/dist-packages/flask/app.py", line 1518, in full_dispatch_request
   rv = self.handle_user_exception(e)
   File "/usr/local/lib/python3.6/dist-packages/flask/app.py", line 1516, in full_dispatch_request
   rv = self.dispatch_request()
   File "/usr/local/lib/python3.6/dist-packages/flask/app.py", line 1502, in dispatch_request
   return self.ensure_sync(self.view_functions[rule.endpoint])(req.view_args)
   File "/PaddleOCR/ocr_predict.py", line 363, in predict
   outputs, lens, decodes = model.predict(test_data=test_loader)
   File "/usr/local/lib/python3.6/dist-packages/paddle/hapi/model.py", line 1926, in predict
   cbks.on_begin('predict', logs)
   File "/usr/local/lib/python3.6/dist-packages/paddle/hapi/callbacks.py", line 103, in on_begin
   self._call(name, logs)
   File "/usr/local/lib/python3.6/dist-packages/paddle/hapi/callbacks.py", line 94, in _call
   func(*args)
   File "/usr/local/lib/python3.6/dist-packages/paddle/hapi/callbacks.py", line 484, in on_predict_begin
   num=self.test_steps, verbose=self.verbose)
   File "/usr/local/lib/python3.6/dist-packages/paddle/hapi/progressbar.py", line 53, ininit**
   self.file.isatty()) or 'ipykernel' in sys.modules or
   ValueError: underlying buffer has been detached
   172.17.0.1 - - [08/Nov/2021 11:09:12] "GET /predict?debugger=yes&cmd=resource&f=style.css HTTP/1.1" 200 -
   172.17.0.1 - - [08/Nov/2021 11:09:12] "GET /predict?debugger=yes&cmd=resource&f=debugger.js HTTP/1.1" 200 -
   172.17.0.1 - - [08/Nov/2021 11:09:12] "GET /predict?debugger=yes&cmd=resource&f=console.png HTTP/1.1" 200 -
   172.17.0.1 - - [08/Nov/2021 11:09:12] "GET /predict?debugger=yes&cmd=resource&f=ubuntu.ttf HTTP/1.1" 200 -
4. 目前检查结果:
   本地推理时没有错误，全过程是OCR+NER模型的结合，OCR部分部署flask没有错误。NER predict前数据类型和数据没错误。
   贴上部分代码：

(2) 初始化ner模型和相关词典和label数据

label_vocab = load_dict(tag_path)
word_vocab = load_dict(word_path)
network = BiGRUWithCRF2(300, 300, len(word_vocab), len(label_vocab))
print('词库,label,模型加载完成')

# (3) 加载ner模型参数

 layer_state_dict = paddle.load(ner_param)
 opt_state_dict   = paddle.load(ner_pdopt)
 print('ner模型参数加载完成')

 # (4) 将ner参数赋值到模型里
 network.set_state_dict(layer_state_dict)
 print('ner模型初始化参数完成')

 # (5) 初始化ner模型
 model       = paddle.Model(network)
 optimizer   = paddle.optimizer.Adam(learning_rate=0.001, parameters=model.parameters())
 optimizer.set_state_dict(opt_state_dict)
 print('ner模型需要数据加载完成')

 crf_loss = LinearChainCrfLoss(network.crf)
 chunk_evaluator = ChunkEvaluator(label_list=label_vocab.keys(), suffix=True)
 model.prepare(optimizer, crf_loss, chunk_evaluator)
 print('ner模型初始化全部完成')

  test_ds = load_dataset(str_temp)
 print(0)
 print(test_ds[:2])
 # print(test_ds[:2])
 # print(test_ds)
 test_ds.map(convert_example)
 print(test_ds)
 print(1)
 batchify_fn = lambda samples,fn=Tuple(
               Pad(axis=0, pad_val=word_vocab.get('OOV')),  # token_ids
               Stack()                                      # seq_len
             ): fn(samples)

 test_loader = paddle.io.DataLoader(
 dataset     = test_ds,
 batch_size  = 1,
 drop_last   = True,
 return_list = True,
 collate_fn  = batchify_fn)

 print(test_loader)
 print(2)
 print(str_temp)

 ## 5. 数据加载到模生成坐标
 outputs, lens, decodes = model.predict(test_data=test_loader)

  具体可以看： https://aistudio.baidu.com/aistudio/projectdetail/2579580?forkThirdPart=1