A detailed Analysis of the hello_world_test.cc program

Below the license header the program has a number of include directives giving access to the tflite micro library as well as a number of macros.

tensorflow/lite/core/c/common.h:

defines the macro TF_LITE_ENSURE_STATUS as well as a number of data structures and it gives access to core functtionality of the tflite core library.

tensorflow/lite/micro/examples/hello_world/models/hello_world_float_model_data.h and 
tensorflow/lite/micro/examples/hello_world/modules/hello_world_int8_model_data.h

are the models created with train.py and converted to a C++ array. While the book describes how to create the .cc file using the Unix xxd command ,in which case the corresponding .h file must be created by hand, the new version uses the python script generate_cc_arrays.py in tensorflow/lite/micro/tools to acconplish the conversion.

You can easily try this with the command:

The first parameter to the command is the name of the output directory and the second parameter is the filename of the model (should have the extension .tflite) The same python script can also be used to convert audio files (.wav), image files (.bmp) or excel sheets (.cvs).

tensorflow/lite/micro/micro_interpreter.h

The Tensorflow Lite Micro interpreter, which will run the model

tensorflow/lite/micro/micro_log.h

Used for error logging. Defines MicroPrintf used to print logging information

-- Uli Raich - 2023-09-08

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