How can I debug my C++ machine learning library effectively?
An example of an AI chatbot conversation about advanced debugging techniques for C++ ML libraries.
How can I debug my C++ machine learning library effectively?
Debugging a C++ ML library can be challenging. Start by using tools like GDB or Valgrind to identify memory issues.
What specific GDB commands should I use for tracking down segmentation faults?
You can use run to start your program, backtrace to see the call stack, and print to inspect variable values.
Are there any best practices for logging in my library?
Yes, use a logging library like spdlog or Boost.Log to create structured logs that can help trace issues.
How can I test my library to ensure it's working correctly?
Implement unit tests using frameworks like Google Test or Catch2 to validate the functionality of your library.
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