How to downgrade tensorflow version in colab?

Question

I am using pip3 install tensorflow==1.8.0, but it doesn't have GPU support.

So I am using pip3 install tensorflow-gpu==1.8.0, but it still raises an exception

libcudart.so.VERSION No such file.

Should I use colab to install tensorflow from source?

After pip3 list:

tensorboard              1.10.0    tensorflow               1.10.0    tensorflow-hub           0.1.1    

Answer 1

You can downgrade Tensorflow to a previous version without GPU support on Google Colab. I ran:

!pip install tensorflow==1.14.0 import tensorflow as tf print(tf.__version__) 

which initially returned

2.0.0-dev20190130 

but when I returned to it after a few hours, I got the version I requested:

1.14.0 

Trying to downgrade to a version with GPU support:

!pip install tensorflow-gpu==1.14.0 

requires restarting the runtime and fails, as importing import tensorflow as tf returns:

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

Update

When the import fails you can always downgrade CUDA to version 9.0 using following commands

!wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb !dpkg -i cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb !apt-key add /var/cuda-repo-9-0-local/7fa2af80.pub !apt-get update !apt-get install cuda=9.0.176-1 

You can check the version of CUDA by running:

!nvcc --version 

Second update

This code now seems to fail, see the follow-up question at How to downgrade to tensorflow-gpu version 1.12 in google colab

Answer 2

Google recommends you not to do pip installs!!!!

1. use this instead: %tensorflow_version 1.x

2. Restart the Runtime and check if its changed:

import tensorflow print(tensorflow.__version__) 

Here is a link to the main article:
https://colab.research.google.com/notebooks/tensorflow_version.ipynb#scrollTo=8UvRkm1JGUrk