dpr embedding error: TypeError: can't pickle _thread.lock objects about examples

[Chiiizzzy]

run demo example abnormal. `from towhee import pipe, ops, DataCollection

if name == 'main': p = ( pipe.input('text') .map('text', 'vec', ops.text_embedding.dpr(model_name='facebook/dpr-ctx_encoder-single-nq-base')) .output('text', 'vec') )

DataCollection(p('Hello, world.')).show()`

Traceback (most recent call last): File "F:/Project/towhee_test/main.py", line 7, in .output('text', 'vec') File "E:\Anaconda3\envs\towhee_env\lib\site-packages\towhee\runtime\pipeline.py", line 103, in output dag_dict = deepcopy(self._dag) File "E:\Anaconda3\envs\towhee_env\lib\copy.py", line 150, in deepcopy y = copier(x, memo) File "E:\Anaconda3\envs\towhee_env\lib\copy.py", line 241, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "E:\Anaconda3\envs\towhee_env\lib\copy.py", line 150, in deepcopy y = copier(x, memo) File "E:\Anaconda3\envs\towhee_env\lib\copy.py", line 241, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "E:\Anaconda3\envs\towhee_env\lib\copy.py", line 150, in deepcopy y = copier(x, memo) File "E:\Anaconda3\envs\towhee_env\lib\copy.py", line 241, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "E:\Anaconda3\envs\towhee_env\lib\copy.py", line 180, in deepcopy y = _reconstruct(x, memo, *rv) File "E:\Anaconda3\envs\towhee_env\lib\copy.py", line 281, in _reconstruct state = deepcopy(state, memo) File "E:\Anaconda3\envs\towhee_env\lib\copy.py", line 150, in deepcopy y = copier(x, memo) File "E:\Anaconda3\envs\towhee_env\lib\copy.py", line 241, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "E:\Anaconda3\envs\towhee_env\lib\copy.py", line 169, in deepcopy rv = reductor(4) TypeError: can't pickle _thread.lock objects

Process finished with exit code 1

Are you using towhee <= 0.9? If so, please import pipe and ops from dc2:
from towhee.dc2 import pipe, ops, DataCollection

[Shiftwa]

flet-dev/flet#565

[LemonSqi]

this problem is solved, thanks a lot~!