🔧 Add Apple Silicon (M1) Compatibility — Dependency & API Updates #12
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Make the requirements Apple Silicon M1 compatible
Fix Linux tensorflow version
Fix count_params call to work with tensorflow 2.16.2 keras
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This is awesome!!! wow does it work with the new ST Edge 2.1? And the newer 3.1 version of Model Services? |
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@fazenrazen yes, just tested on Ubuntu as well. Just ensure you are using |
abmallick
changed the title
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SUPER COOL thank you very much! Which boards were you deploying to. I am just curious! I have the N6 board and the Mac OS framework is just really great so I was wondering if that everything was possible from the mac computer. |
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I am fairly new to embedded systems, N6 dev kit is my first one xD Got it yesterday and have been trying to get a NN running on it. Let us connect on Discord abmallick#7531 |
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I am trying to make a discord of all the people working on N6 stuff, i sent you a friend request!! |
Ensure correct api usage for model training
Fix api usage for new tensorflow versions
Update api usage for new tensorflow version
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Summary
This PR adds support for Apple Silicon by introducing OS-specific TensorFlow dependencies. It also updates the code and dependency versions to work with newer versions of TensorFlow, NumPy, and related libraries.
Changes Made
✅ requirements.txt
Added OS-specific TensorFlow packages:
tensorflow==2.16.2 for Linuxtensorflow-macos==2.16.2 and tensorflow-metal==1.2.0 for macOS ARM64Updated core libraries:
numpy==1.26.4tf2onnx==1.16.1onnx, onnxruntime, scikit-learn, and others to latest compatible versions
✅ models_utils.py
Removed deprecated import:
Replaced with direct Keras API:
Tested On
macOS (Apple Silicon M1)
Linux (Ubuntu x64)