Decorators to attach to C++ or Python code to profile runtime characteristics.

The C++ profiler contains an Instrumentor class which is responsible for writing timing data to .json. This is then leveraged by the CPUProfiler class to write runtime data. The CPUProfiler decorates a function that you wish to profile.

1. Include the class declaration in the required source file (preferably using a header file).

#include "[$PATH]/profiler.cpp"

2. Attached the macro (that calls the CPUProfiler decorator) to the desired code block.

void function() {
  PROFILE_FUNCTION();
  // some function...
};

3. Compile and build your source code.

4. Use chrome:https://tracing to upload and analyse the (nearly created) profile.json file.

1. Simply attach the decorators @CPUProfiler.profile and @MemoryProfiler.profile to any code and you'll generate the necessary data.

2. I recommend using snakeviz to view the newly generated .prof file.

   snakeviz [$PATH]/pstats.prof
   

A detailed example is provided on my Medium

: Zach Wolpe
: 10 July 2023