3
在我tasks.py文件,當我輸入hmmlearn,芹菜「工人-N」 PID:XXXX退出,「退出碼1」時,我導入hmmlearn
from hmmlearn import hmm
,並開始我的芹菜工人,我得到的以下錯誤
[2017-06-14 09:18:27,638: INFO/MainProcess] Received task:
sm.tasks.mytask[4e46806e-6f0f-420f-baac-c727c2a382d4]
[2017-06-14 09:18:27,716: ERROR/MainProcess] Process 'Worker-4' pid:5264
exited with 'exitcode 1'
[2017-06-14 09:18:29,857: ERROR/MainProcess] Process 'Worker-7' pid:3172
exited with 'exitcode 1'
[2017-06-14 09:18:29,857: ERROR/MainProcess] Process 'Worker-6' pid:5768
exited with 'exitcode 1'
[2017-06-14 09:18:29,857: ERROR/MainProcess] Process 'Worker-5' pid:5236
exited with 'exitcode 1'
[2017-06-14 09:18:31,450: ERROR/MainProcess] Process 'Worker-8' pid:5876
exited with 'exitcode 1'
後,我關機了工人,
[2017-06-14 09:19:28,545: WARNING/MainProcess] c:\anaconda3\lib\site-
packages\celery\apps\worker.py:161: CDeprecationWarning:
Starting from version 3.2 Celery will refuse to accept pickle by default.
如果我只是註釋掉進口和代碼使用的進口,永遠一切正常。但是,我能夠在ipython上執行所有任務(包括嗯代碼)作爲獨立的Python代碼,沒有任何問題。
我使用的是以下細節
Current conda install:
platform : win-64
conda version : 4.3.21
conda is private : False
conda-env version : 4.3.21
conda-build version : 1.21.3
python version : 3.5.2.final.0
requests version : 2.14.2
λ conda list | grep celery
celery 3.1.18 <pip>
λ conda list | grep kombu
kombu 3.0.37 <pip>
λ conda list | grep hmmlearn
hmmlearn 0.1.1 np111py35_0 omnia
我應該怎麼做暢達分佈?
您是否解決了這個問題?看到與pymc3相同。 – Louis