README.md

Basic Neural Network using Tensorflow Lite

This example uses a basic Neural Network that predicts the value of sin(x) to showcase the working of TFLite delegate running with ArmNN acceleration.

Refer to the 1_variable_regression_model.ipynb notebook on how to build this model yourself.

Requirements for running the notebook:

tensorflow==2.15.0
matplotlib==3.8.2

Add symlinks for libraries

sudo ln ../libs/delegate/libarmnnDelegate.so.29.1 libarmnnDelegate.so.29
sudo ln ../libs/libarmnn.so.34.0 libarmnn.so.34

Run the example

python3 run_inference.py

Note:

Modify the BACKEND variable in the code to use either GpuAcc or CpuAcc backends.