TensorFlow Lite C++ minimal example

This example shows how you can build a simple TensorFlow Lite application.

Step 1. Install CMake tool

It requires CMake 3.16 or higher. On Ubuntu, you can simply run the following command.

sudo apt-get install cmake

Or you can follow the official cmake installation guide

Step 2. Install libffi7 package(Optional)

It requires libffi7. On Ubuntu 20.10 or later, you can simply run the following command.

wget http://es.archive.ubuntu.com/ubuntu/pool/main/libf/libffi/libffi7_3.3-4_amd64.deb
sudo dpkg -i libffi7_3.3-4_amd64.deb

Step 3. Clone TensorFlow repository

git clone https://github.com/tensorflow/tensorflow.git tensorflow_src

Step 4. Create CMake build directory and run CMake tool

mkdir minimal_build
cd minimal_build
cmake ../tensorflow_src/tensorflow/lite/examples/minimal

Step 5. Build TensorFlow Lite

In the minimal_build directory,

cmake --build . -j

Step 5. Run the executable

In the minimal_build directory,

./minimal <path/to/tflite/model>

Optional: Link with tensorflowlite_flex library

You may want to link with tensorflowlite_flex library to use TF select Ops in your model.

First tensorflowlite_flex needs to be compiled using bazel in tensorflow_src directory: sh bazel build -c opt --cxxopt='--std=c++17' --config=monolithic tensorflow/lite/delegates/flex:tensorflowlite_flex

Then when configuring cmake build (Step 4), add the following option:

cmake ../tensorflow_src/tensorflow/lite/examples/minimal -DLINK_TFLITE_FLEX="ON"

And build: sh cmake --build . -j