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TensorFlow Lite for Raspberry Pi and Jetson Nano\n![output image]( https://qengineering.eu/github/Tensor-flow_Lite_icon.webp )\u003cbr/\u003e\u003cbr/\u003e\n\nHere you find the C++ installation tar.gz files as mentioned in our [guide](https://qengineering.eu/install-tensorflow-2-lite-on-raspberry-64-os.html).\u003cbr\u003e\nPlease see this page on how to install TensorFlow Lite C++.\u003cbr\u003e\u003cbr\u003e\nFor convenience reasons, we also placed the Python3 wheels.\u003cbr\u003e \nNote, the provided wheels are ***not*** suitable for C++ programming, only the tar files are.\u003cbr\u003e\u003cbr\u003e\nBoth C++ and Python support NEON and XNNPACK.\u003cbr\u003e\n\n-----------------\n\n## Roadmap.\nSelect your Python3 version depending on your **64-bit** operating system.\n\n| Python3 | Operating system  | TF 2.10.0 | TF 2.9.1 | TF 2.8.0 | TF 2.7.0 |\n| ---------- | --------------------- | :---------------:  | :----------------: | :---------------: | :---------------: |\n| Python 3.6 | Jetson Nano 4.6       |                    |                    |                   |:heavy_check_mark: |\n| Python 3.7 | Raspberry Pi **Buster**   | :heavy_check_mark: | :heavy_check_mark: |:heavy_check_mark: |:heavy_check_mark: |\n| Python 3.8 | Ubuntu 20.04          | :heavy_check_mark: | :heavy_check_mark: |:heavy_check_mark: |:heavy_check_mark: |\n| Python 3.9 | Raspberry Pi **Bullseye** | :heavy_check_mark: | :heavy_check_mark: |:heavy_check_mark: |:heavy_check_mark: |\n| Python 3.10 | Ubuntu 22.04         | :heavy_check_mark: | :heavy_check_mark: |:heavy_check_mark: |:heavy_check_mark: |\n\n----------------------\n\n![output image](https://qengineering.eu/images/SDcard16GB_tiny.jpg) Find TensorFlow Lite with other frameworks and deep-learning examples on our [SD-image](https://github.com/Qengineering/RPi-image)\u003cbr/\u003e\u003cbr/\u003e\n\n### TensorFlow Lite\nThe TensorFlow Lite versions support NEON and XNNPack.\u003cbr\u003e\nPlease notice the provided wheels are ***not*** suitable for C++ programming!\u003cbr\u003e\nOnly for the Python3 installation of TensorFlow Lite on your machine.\u003cbr\u003e\n\n### Jetson Nano\nTensorFlow Lite, intended for mobile devices, does not support CUDA.\u003cbr\u003e\nYou will have the regular aarch64 installation on your Nano.\u003cbr/\u003e\n\n----------------------\n\n[![paypal](https://qengineering.eu/images/TipJarSmall4.png)](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick\u0026hosted_button_id=CPZTM5BB3FCYL) \u003cbr/\u003e\u003cbr/\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqengineering%2Ftensorflow-lite-raspberry-pi_64-bit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fqengineering%2Ftensorflow-lite-raspberry-pi_64-bit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqengineering%2Ftensorflow-lite-raspberry-pi_64-bit/lists"}