I have been working with Sonnet with Tensorflow1 for the past couple of years, but with the introduction of Tensorflow2.0 I moved to that system. Now, I am debugging something and I wanted to return to the TF1 setup. Since my move to TF2.0 I no longer have access to a machine with CUDA setup for TF1. So my question is:
Is it possible to have a CUDA setup on Windows 10 machine that allows work inside both Tensorflow1.x and Tensorflow2.x environments?
Each Tensorflow-gpu version require appropriate CUDA and cuDNN version. Tensorflow-gpu==1.15 and Tensorflow-gpu==2.0 support CUDA 10.0 and cuDNN 7.4.