# SentenceAnalysis() ## 这里做实例化lac的模型
pool=Pool(processes=30)
res= pool.map(SentenceAnalysis().sentence_struct,querylist) ## sentence_struct就是用的lac来iqu词性、词的重要性等操作
Traceback (most recent call last):
File "/mnt/data/yzy/project/DataPrepare/bin/VoiceDemand.py", line 199, in
res= pool.map(sentenceanaly.sentence_struct,querylist)
File "/home/yiziyang/.conda/envs/nlu_train/lib/python3.7/multiprocessing/pool.py", line 268, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "/home/yiziyang/.conda/envs/nlu_train/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/home/yiziyang/.conda/envs/nlu_train/lib/python3.7/multiprocessing/pool.py", line 431, in _handle_tasks
put(task)
File "/home/yiziyang/.conda/envs/nlu_train/lib/python3.7/multiprocessing/connection.py", line 206, in send
self._send_bytes(_ForkingPickler.dumps(obj))
File "/home/yiziyang/.conda/envs/nlu_train/lib/python3.7/multiprocessing/reduction.py", line 51, in dumps
cls(buf, protocol).dump(obj)
TypeError: can't pickle paddle.fluid.core_avx.CPUPlace objects
LAC 版本是2.1.2，有没有相应的多进程的例子啊
baidu
