

Getting TensorFlow off your actual machine and into Docker will save you headaches down the road. Ultimately, this is what I would recommend if you can make it work. The TensorFlow docs have a good page on using Docker for TensorFlow. A Docker container runs in a virtual environment and is the easiest way to set up GPU support.
Docker for mac tenserflow install#
You can upgrade the package: pip install tensorflow -upgrade.If you want to use TensorFlow in your current environment On the other hand, you may not actually need to uninstall TensorFlow.
Docker for mac tenserflow windows#
If you’re on Windows and you’re still having troubleįinally, if one of the solutions above worked, you may also want to remove the packages TensorFlow installs automatically.

Uninstall TensorFlow If you installed TensorFlow with pip Docker Tensorflow Ive got a google coral, so would like to try Tensorflow on Shinobi as I like the Shinobi interface, Ive got Frigate (on its own) working and it works very well, but the front end isnt as good as Shinobi by a long way, i.e when set to continuous record its every 60 seconds rather than what Id like, dont see a way of deleting clips recordings from the front end.

This post enumerates the solutions I’ve seen. The internet is littered with questions from frustrated developers and data scientists trying to remove this behemoth from their machines. There are lots of ways to install TensorFlow, which means (unfortunately) there is no one-size-fits-all solution for uninstalling it.
