Question

我有一个使用Flask，tensorflow-gpu ...的python应用程序，在我运行时运行没有问题：

gunicorn server:app -b localhost:8000

但是当我与主管一起运行时，它会给我错误

ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory

我没有使用virtualenv。

这是我的主管配置

[program:appserver]
command = gunicorn server:app -b localhost:8000
directory = /storage/appserver
user = root
stdout_logfile = /home/deploy/appserver/logs/gunicorn/gunicorn_stdout.log
stderr_logfile = /home/deploy/appserver/logs/gunicorn/gunicorn_stderr.log
redirect_stderr = True

我做错了什么？

如果应用程序直接在命令行运行，为什么主管无法运行它？

我在bashrc上有env变种，就像我说的那样，如果我从命令行运行它会起作用...

export PATH=/usr/local/cuda-9.0/bin/${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64/


root@xxxxx:/home/xxxxx# echo $PATH
/usr/local/cuda-9.0/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
root@xxxxxx:/home/xxxxx# echo $LD_LIBRARY_PATH
/usr/local/cuda-9.0/lib64/

Answer 1

Supervisor不会加载环境变量，它不依赖bash，因此您必须直接在Supervisor配置中加载环境变量。

这里以我的配置为例：

[program:hoot_api_ml]

user           = hoot
environment    = LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64"
directory      = /home/hoot/backend/hoot/ml
command        = gunicorn3 -c ../../conf/api_ml/gunicorn.py api:APP

autostart      = true
autorestart    = true

stderr_logfile = /var/log/hoot/api_ml_supervisor.err
stdout_logfile = /var/log/hoot/api_ml_supervisor.log

stopsignal     = INT

主管无法加载Cuda libs，PATH IS NOT MISSING，无需主管

1 个答案: