chore: import upstream snapshot with attribution

tensorflow/lite/examples/minimal/README.md

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+# 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.
+
+```sh
+sudo apt-get install cmake
+```
+
+Or you can follow
+[the official cmake installation guide](https://cmake.org/install/)
+
+#### Step 2. Install libffi7 package(Optional)
+
+It requires libffi7. On Ubuntu 20.10 or later, you can simply run the following
+command.
+
+```sh
+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
+
+```sh
+git clone https://github.com/tensorflow/tensorflow.git tensorflow_src
+```
+
+#### Step 4. Create CMake build directory and run CMake tool
+
+```sh
+mkdir minimal_build
+cd minimal_build
+cmake ../tensorflow_src/tensorflow/lite/examples/minimal
+```
+
+#### Step 5. Build TensorFlow Lite
+
+In the minimal_build directory,
+
+```sh
+cmake --build . -j
+```
+
+#### Step 5. Run the executable
+
+In the minimal_build directory,
+
+```sh
+./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](#step-4-create-cmake-build-directory-and-run-cmake-tool)), add the
+following option:
+
+```sh
+cmake ../tensorflow_src/tensorflow/lite/examples/minimal -DLINK_TFLITE_FLEX="ON"
+```
+
+And build: `sh cmake --build . -j`