ubuntu 22.04: Could not find a version that satisfies the requirement tensorflow-quantum

[cjhudlin]

hello,
we are tying to install T-quantum on a server at our location,
tensrflow 2.13 is installed and all other requirements installed via conda. python3 version installed is 3.11.
when running the command "pip install -U tensorflow-quantum" as per the install instrutions, the error comes:

pip3 install -U tensorflow-quantum --verbose
Using pip 23.2.1 from /home/uadmin/miniconda3/lib/python3.11/site-packages/pip (python 3.11)
ERROR: Could not find a version that satisfies the requirement tensorflow-quantum (from versions: none)
ERROR: No matching distribution found for tensorflow-quantum

please can someone assist here?

thank you

[lockwo]

Neither TF 2.13 nor Python 3.11 is supported. See #794 (comment).

[cjhudlin]

why is the latest version not supported?

[lockwo]

I don't know. I would guess because TFQ doesn't have a lot of development support, and the latest version doesn't have a huge set of feature improvements relevant for TFQ.

[cjhudlin]

thank you for the heads up, ill install with recommended tf, tfq and python versions

[cjhudlin]

now it is working, but this install instructions need to be updated on the website as the install instructions referr to installing tf2.13:

install tensorflow:
curl https://repo.anaconda.com/miniconda/Miniconda3-py39_23.5.2-0-Linux-x86_64.sh -o Miniconda3-py39_23.5.2-0-Linux-x86_64.sh
bash Miniconda3-py39_23.5.2-0-Linux-x86_64.sh

conda create --name tf python=3.9
conda activate tf
conda install -c conda-forge cudatoolkit=11.8.0

pip install nvidia-cudnn-cu11==8.6.0.163

mkdir -p $CONDA_PREFIX/etc/conda/activate.d
echo 'CUDNN_PATH=$(dirname $(python -c "import nvidia.cudnn;print(nvidia.cudnn.file)"))' >> $CONDA_PREFIX/etc/conda/activate.d/env_vars.sh
echo 'export LD_LIBRARY_PATH=$CONDA_PREFIX/lib/:$CUDNN_PATH/lib:$LD_LIBRARY_PATH' >> $CONDA_PREFIX/etc/conda/activate.d/env_vars.sh

pip install tensorflow==2.11.*
pip3 install -U tensorflow-quantum

[lockwo]

Where is 2.13 on the website? I see the install website saying python 3.7, 3.8, 3.9 are supported, and 2.11 TF (which isn't even really right, 2.7 is required for the stable versions of TF), but I don't see 2.13 on https://www.tensorflow.org/quantum/install

[cjhudlin]

also, even after meeting the requirements, still cannot install tfq. i have installed tf 2.11 and use python 3.10 which is suppported by tf 2.11, but usng pip or conda it doesn find tensorflow-quantum or tfq-nightly packages

[cjhudlin]

edit: i was able to install TFQ wth the command above. i had to remove it and reinstall lika above. the command was modified

[kiannaamaya]

Could you explain what commands you used to remove and reinstall? I do not see the commands you are referring to. Thanks in advance.

[lockwo]

If you installed via pip it's pip uninstall and pip install. However, you want to make sure to remove all potentially conflicting TF stuff which can be a pain. I recommend using a new virtual environment and just doing a clean install.

[kiannaamaya]

Thank you for your response but I have still been able to try a solution. I tried no Mac and Windows and nothing has worked so far.

[lockwo]

You tried with Mac and windows? Windows is unsupported (past like v0.2 or something), and if the Mac is M1 or M2 there are a lot of issues (with TF more broadly, see other issues on this GitHub specific to Mac). If you are having more general troubles, distinct from previous open or closed issues, I suggest you open a new issue with all of you hardware/software details, what steps you took, what the errors are, etc.

[knottyanyon]

Duplicate of #798

[BytePaul]

Try opening google.com and then run this command.
This solution worked for me.
I was trying to run this on my corporate laptop but to no avail until i tried the above fix as recommended by my IT department