当父目录已经拥有该库的旧版本时，Python从另一个目录导入更新的库

Question

我正在运行运行Red Hat Enterprise Linus - 6+的强大群集。

我需要从另一个目录中导入一个库（Say Tensorflow），但主目录已经包含一个旧版本的tensorflow。

结构 -

I Don't have Admin privileges for these libraries 

Anaconda-directory 
|--- tensorflow 0.7 
|--- other libraries which I need 

Other Directory 
|--- tensorflow 0.11 

My Home Directory (I have privileges here) 
Local directory of anaconda 
|--- Keras 

所以，我需要使用Anaconda目录，但我想用的tensorflow (0.11)更新版本，我也想用Keras。

我曾尝试下面的命令 -

METHOD - 1 
# Load Anaconda module 
module load apps/anaconda/4.1.1/gnu 
# Has tensorflow 0.7 installed 
jupyter notebook 
--> Works, but with tensorflow 0.7 (Which is incompatible with keras) 

METHOD - 2 
# Load new version of tensorflow 
# It automatically python module located at compiler/python/2.7.10/compilervars along with CUDAnn and others 
module load apps/tensorflow/0.11/gnu 

# Point to my local installation of anaconda where I have installed Keras 
export PYTHONPATH=/home/-path-to-my-home-dir/anaconda2/lib/python2.7/site-packages/:$PYTHONPATH 

echo $PYTHONPATH 
/home/-path-to-my-home-dir/anaconda2/lib/python2.7/site-packages/:/home/apps/TENSOR_GPU/0.11/gnu/lib/python2.7/site-packages/ 

--> Works well in python shell, but I want to use IPython Notebook 

jupyter notebook 
--> Doesn't work in Ipython Notebook, which I guess is due to the reason that it uses jupyter notebook from my home dir (Not an Admin) 


### WHAT I WANT ### 
Anaconda Distribution --> From Server Module Directory (Not my local Directory) 
Jypyter --> From above anaconda dist (Not my local anaconda dist) 
Tensorflow --> From another module (Newer Version) 
Keras --> Installed in my local anaconda distribution 

# Any Other additional packages 
# either not available on server (I can't install on server) 
# or older versions available 
# For such libraries, I should be able to use just that package 
# from my home directory (I can have anaconda installed on my home dir) 

Answer 1

我会尝试这一点。

• 打开Jupyter笔记本。
• import sys
• sys.path[0:0] = ["/path/to/new/tensorflow"]
• 进口tensorflow，检查版本。
• 从Anaconda导入库。

第三步可以延伸到你的口味，包括其他东西离开你的正常PYTHONPATH。