CODEWITHSUNDEEP
pythontensorflowvirtualenv
StatsSorceress
StatsSorceress

Reputation: 3109

Cannot upgrade packages using pip inside virtualenv

I wanted to be able to access all of my site packages from another installation of Python, so I created a virtual environment in this way:

venv my_project --system-site-packages

I noticed that my version of Keras was outdated, so from within my virtualenv, I executed:

pip install keras

which worked without an issue. I'm using pip version 9.0.1

I'm trying to run a python program that uses TensorFlow, but when I run it, I get an error:

ImportError: No module named tensorboard.plugins

I googled around and found that I needed to upgrade TensorFlow. I tried several commands:

(my_project/) user@GPU5:~/spatial/zero_padded/powerlaw$ pip install tensorflow

The above gives me a 'requirement already satisfied' error.

$ pip install --target=~/spatial/zero_padded/powerlaw/my_project/ --upgrade tensorflow
Collecting tensorflow
  Could not find a version that satisfies the requirement tensorflow (from versions: )
No matching distribution found for tensorflow

The output of which python:

/user/spatial/zero_padded/powerlaw/my_project/bin/python

I think my PYTHONPATH is the first line in this:

(my_project/) user@GPU5:~/spatial/zero_padded/powerlaw/my_project$ python -c "import sys; print '\n'.join(sys.path)"

/user/spatial/zero_padded/powerlaw/my_project
/opt/enthought/canopy-1.5.1/appdata/canopy-1.5.1.2730.rh5-x86_64/lib/python27.zip
/opt/enthought/canopy-1.5.1/appdata/canopy-1.5.1.2730.rh5-x86_64/lib/python2.7
/opt/enthought/canopy-1.5.1/appdata/canopy-1.5.1.2730.rh5-x86_64/lib/python2.7/plat-linux2
/opt/enthought/canopy-1.5.1/appdata/canopy-1.5.1.2730.rh5-x86_64/lib/python2.7/lib-tk
/opt/enthought/canopy-1.5.1/appdata/canopy-1.5.1.2730.rh5-x86_64/lib/python2.7/lib-old
/opt/enthought/canopy-1.5.1/appdata/canopy-1.5.1.2730.rh5-x86_64/lib/python2.7/lib-dynload
/user/spatial/zero_padded/powerlaw/my_project/lib/python2.7/site-packages
/user/pkgs/enthought/canopy-1.5.1/lib/python2.7/site-packages
/user/pkgs/enthought/canopy-1.5.1/lib/python2.7/site-packages/PIL
/opt/enthought/canopy-1.5.1/appdata/canopy-1.5.1.2730.rh5-x86_64/lib/python2.7/site-packages

How do I upgrade TensorFlow inside my virtualenv?

Upvotes: 0

Views: 761

Answers (2)

2ps
2ps

Reputation: 15986

Pretty sure that all you need to do is run pip install with -U to upgrade the package inside the virtualenv:

(my_project/) user@GPU5:~/spatial/zero_padded/powerlaw$ pip install -U tensorflow

-U is just shorthand for --upgrade. But, you should really go ahead and create a dependencies file for yourself called requirements.txt that lives in the project root and specify version numbers there.

e.g.,

tensorflow==1.2.0

And that makes it easier to install all requirements

pip install -r requirements.txt

Upvotes: 1

developer_hatch
developer_hatch

Reputation: 16214

The best way to do it is install the dependencies outside de vm, and create a new one I'm afraid to say that. Because doing upgrades is different than installing

Upvotes: 0

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