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Per #34, we're going to have two versions, one for Jetson Nano and the other for a "standard desktop," but since the current version in the repo is for the standard desktop, should I go ahead and update the Python version to 3.11 and the TensorFlow version to 2.13.0?
(What about the other version? Should I write "version-agnostic" code so that the code works with both TensorFlow 2.13.0 and TensorFlow 2.5.0? Or do I not worry about the Jetson Nano's version for now?)
The text was updated successfully, but these errors were encountered:
David-davidlxl
changed the title
Update Python and TensorFlow versions
Update Python and TensorFlow versions for PC
Sep 22, 2023
Hello @David-davidlxl .
For now, until we have some way of making sure we're not breaking things in any of the platforms when updating, I wouldn't update to newer versions of Python or any package unless there's a specific reason for it. For example if we need some functionality that is only available on newer versions or if the version we're using currently is no longer maintained (see this for Python). Once we have some basic testing and CI frameworks in place we can aim for the latest updates.
Per #34, we're going to have two versions, one for Jetson Nano and the other for a "standard desktop," but since the current version in the repo is for the standard desktop, should I go ahead and update the Python version to 3.11 and the TensorFlow version to 2.13.0?
(What about the other version? Should I write "version-agnostic" code so that the code works with both TensorFlow 2.13.0 and TensorFlow 2.5.0? Or do I not worry about the Jetson Nano's version for now?)
The text was updated successfully, but these errors were encountered: