conda install keras overwrites tensorflow-gpu with tensorflow (non-gpu package)

[Raul Diaz]

Hello everyone. I wanted share a problem I encountered and the solution I found that works.

For reference, this is my environment:

Ubuntu 16.04

nVidia GPU

conda 4.5.2

I created a conda virtual environment and installed tensorflow-gpu (which resulted in 1.7.0 being installed which is not the latest, but is fine for my purposes).

I then did

conda install keras

keras was installed correctly, BUT it also installed tensorflow non-gpu version, which I cannot use.

This seems like a dependency bug in which keras package does not recognize tensorflow-gpu package as installed.

I was forced to remove tensorflow (non-gpu package) and to use

python3.6 -m pip install keras

This worked, but I would rather have consistent conda managed packages.

I hope that Anaconda fixes this, but in the meantime, you can try my solution.

[Kale Franz]

There’s a keras-gpu package just for this reason that has you covered!

Sent from my iPhone

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[Jonathan Helmus]

Another option if you want Keras with a GPU accelerated Tensorflow is to install the "keras-gpu" conda package.

Cheers,

    - Jonathan Helmus

[Raul Diaz]

Hello Kale Franz and also Jonthan Helmus:

Thank you both for the suggestion to conda install keras-gpu.

I uninstalled the python pip installed keras and did as you suggested. It worked great! 

Thank you!.

[Raul Diaz]

After my reply that everything was working, I found a hidden problem. No matter what i did to remove the non-gpu tensorflow, it just wouldn't be removed. I tried conda remove tensorflow, and then conda clean -a but that didn't work. Finally, I had to completely uninstall anaconda, reinstall it and then recreate my virtual environment.

On Friday, May 11, 2018 at 1:35:31 PM UTC-7, Raul Diaz wrote: