TypeError: can't pickle _thread.RLock objects

[irdanish11]

Building Graph Traceback (most recent call last):

File "", line 1, in
runfile('D:/Study/BE_Electronics/Semester8/FYP_Phase2/TwitterChatlogPreprocessing/Twitter-chatbot.py', wdir='D:/Study/BE_Electronics/Semester8/FYP_Phase2/TwitterChatlogPreprocessing')

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 668, in runfile
execfile(filename, namespace)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 108, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)

File "D:/Study/BE_Electronics/Semester8/FYP_Phase2/TwitterChatlogPreprocessing/Twitter-chatbot.py", line 39, in
num_layers=3

File "D:\Study\BE_Electronics\Semester8\FYP_Phase2\TwitterChatlogPreprocessing\seq2seq_wrapper.py", line 77, in init
graph()

File "D:\Study\BE_Electronics\Semester8\FYP_Phase2\TwitterChatlogPreprocessing\seq2seq_wrapper.py", line 62, in graph
feed_previous=True)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\contrib\legacy_seq2seq\python\ops\seq2seq.py", line 358, in embedding_rnn_seq2seq
encoder_cell = copy.deepcopy(cell)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 161, in deepcopy
y = copier(memo)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\layers\base.py", line 395, in deepcopy
setattr(result, k, copy.deepcopy(v, memo))

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 150, in deepcopy
y = copier(x, memo)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 215, in _deepcopy_list
append(deepcopy(a, memo))

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 150, in deepcopy
y = copier(x, memo)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 150, in deepcopy
y = copier(x, memo)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 150, in deepcopy
y = copier(x, memo)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 150, in deepcopy
y = copier(x, memo)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)

File "C:\Users\IrfanDanish\AppData\Local\Continuum\anaconda3\lib\copy.py", line 169, in deepcopy
rv = reductor(4)

[lcarnevale]

Hello,

I resolved that problem downgrading tensorflow to 1.0.0.
Give a look here: tensorflow/tensorflow#11157