How to downgrade tensorflow multiple versions possible

Question

I have tensorflow 1 2 1 installed  and I need to downgrade it to version 1 1 to run a specific tutorial  What is the safe way to do it  I am using windows 10  python 3 5  Tensorflow was installed with pip3  but  pip3 show tensorflow  returns blank   Is it possible to have multiple version of tensorflow on the same OS

User · Answer

Pip allows to specify the version  pip install tensorflow  1 1

User · Answer

I discovered the joy of anaconda  https   www continuum io downloads  C  gt  conda create -n tensorflow1 1 python 3 5 C  gt  activate tensorflow1 1  tensorflow1 1   C  gt  pip install --ignore-installed --upgrade https   storage googleapis com tensorflow windows gpu tensorflow gpu-1 1 0-cp35-cp35m-win amd64 whl   voila  a virtual environment is created

User · Answer

If you have anaconda  you can just install desired version and conda will automatically downgrade the current package for you  For example  conda install tensorflow 1 1

User · Answer

If you are using python3 on windows then you might do this as well  pip3 install tensorflow  1 4  you may select any version from   from versions  1 2 0rc2  1 2 0  1 2 1  1 3 0rc0  1 3 0rc1  1 3 0rc2  1 3 0  1 4 0rc0  1 4 0rc1  1 4 0  1 5 0rc0  1 5 0rc1  1 5 0  1 5 1  1 6 0rc0  1 6 0rc1  1 6 0  1 7 0rc0  1 7 0rc1  1 7 0    I did this when I wanted to downgrade from 1 7 to 1 4

User · Answer

Click to green checkbox on installed tensorflow and choose needed version

User · Answer

Is it possible to have multiple version of tensorflow on the same OS    Yes  you can use python virtual environments for this  From the docs      A Virtual Environment is a tool to keep the dependencies required by different projects in separate places  by creating virtual Python environments for them  It solves the    Project X depends on version 1 x but  Project Y needs 4 x    dilemma  and keeps your global site-packages directory clean and manageable    After you have install virtualenv  see the docs   you can create a virtual environment for the tutorial and install the tensorflow version you need in it   PATH TO PYTHON  usr bin python3 5 virtualenv -p  PATH TO PYTHON my tutorial env  source my tutorial env bin activate   this activates your new environment pip install tensorflow  1 1   PATH TO PYTHON should point to where python is installed on your system   When you want to use the other version of tensorflow execute   deactivate my tutorial env   Now you can work again with the tensorflow version that was already installed on your system

User · Answer

You can try to use the options of --no-cache-dir together with -I to overwrite the cache of the previous version and install the new version  For example   pip3 install --no-cache-dir -I tensorflow  1 1   Then use the following command to check the version of tensorflow   python3 -c    import tensorflow as tf  print tf   version         It should show the right version got installed

User · Answer

Pay attention  you cannot install arbitrary versions of tensorflow  they have to correspond to your python installation  which isn t conveyed by most of the answers here  This is also true for the current wheels like https   storage googleapis com tensorflow windows gpu tensorflow gpu-1 1 0-cp35-cp35m-win amd64 whl  from this answer above   For this example  the cp35-cp35m hints that it is for Python 3 5 x A huge list of different wheels compatibilities can be found here on github  By using this  you can downgrade to almost every availale version in combination with the respective for python  For example  pip install tensorflow  2 0 0   note that previous to installing Python 3 7 8 alongside version 3 8 3 in my case  you would get ERROR  Could not find a version that satisfies the requirement tensorflow  2 0 0  from versions  2 2 0rc1  2 2 0rc2  2 2 0rc3  2 2 0rc4  2 2 0  2 3 0rc0  2 3 0rc1  ERROR  No matching distribution found for tensorflow  2 0 0  this also holds true for other non-compatible combinations   This should also be useful for legacy CPU without AVX support or GPUs with a compute capability that s too low   If you only need the most recent releases  which it doesn t sound like in your question  a list of urls for the current wheel packages is available on this tensorflow page  That s from this SO-answer  Note  This link to a list of different versions didn t work for me

[python] How to downgrade tensorflow, multiple versions possible?

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