Can I safely downgrade using pip in a conda environment without effecting anything outside of the conda environment?
I have code that is written for Tensorflow 0.12 and not 1 and would like to downgrade, but I cannot do so if it will mess up other conda environments. I understand that if I install with “conda install …” it will be safe, but what about “pip install”?
@fastai, when I do such things I like to clone the current environment and do the upgrade in the cloned one. This way I don’t mess up my productive environment (painful experiences in the past). This is done like so:
I confirmed that pip fixed the issue and was local to the conda env only. And it worked. The conda env cloning was helpful too - I will make sure to do that in the future.