downgrade tensorflow GPU from v2.8 to v2.7 in google colab

Question

I have some models I trained using TF and have been using for awhile now but since V2.8 came out I am having issues with the models based in MobileNetV3 (large and small), I posted the issue on the tensor-flow git and am waiting for a solution. In the mean time I wan to make some predictions on colab using V2.7 instead of 2.8. I know this involves installing CUDA and and cuDNN. I am really in experienced at this level and setting up TF. does anyone know how to proceed with this? I saw this post but was hoping for a less intensive solution. like can I 'flash' an old colab machine that has 2.7 setup?

as a side note, shouldn't colab have options like this? the main reason I am using colab is that I can run my code anywhere and that it is repeatable.

also I can install and run my code for V2.7 for the CPU version but I want to run on the GPU.

thanks for your help!

---

edit: sorry I did a poor job at explaining what I already tried. I have tired using pip

!pip install --upgrade tensorflow-gpu==2.7.*
!pip install --upgrade tensorflow==2.7.*

but I get this error

UnknownError:  Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.

I have also pip uninstalled keras, TF and TF-GPU before installing and I get the same error. yes I restart the runtime as well. someone mentioned that conda tried to install everything when installing TF, is this a possible solution?