![]() Make sure your conda environment is activated when you do this. Clone the repository, checkout to tag 2.10, and build. Instead, you can build the wheel for tensorflow-text 2.10 from source on your machine. So I have to stick to tensorflow-macos to 2.10. I tried to revert my tensorflow-macos to 2.9, but when I work with it, it throws an error "zsh: bus error". I could only find a wheel for tensorflow-text v 2.9. I tried to add a link but the system didn't allow me to post this comment with that link (thanks btw that's really helpful /s) To install tensorflow-text for M1, you can find the built wheel for M1 on github. I used miniforge to create a virtual environment and installed the latest version of tensorflow-macos (2.10). Here's a guide to make tensorflow-text work on M1. So we need from you to create addons and text packages for tensorflow. Tensorflow guys doesn't care about M1 chipset i guess. We need tensorflow libraries work on m1 chip. And now i am not able to work with M1 MacBook pro and still continue to use my windows machine. I installed tensorflow-macos (2.8.0) and tensorflow-metal(0.3.0) tensorflow-addons from "Pip install -upgrade -force -no-dependencies " and tensorflow-text from: " Pip install git+ -no-deps". And on internet it is said that this is because compatibality problem between tensorflow packages. ![]() But when i start training it failed with AttributeError: module '.tf_utils' has no attribute 'smart_cond'. ![]() I'd searched on internet and prepare new one. When i moved to new M1 chip MacBook Pro project couldn't be build properly. And project's pyproject.toml file was ok. I was using 2015 MacBook Pro till September 2022.
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