Converting PyTorch script from Python to C++ for performance boosts?

I have this neural network written in Python using PyTorch, roughly 1000 lines in code. The goal of the network is to run in real-time with at least 10 FPS. Currently, it is running abysmally at 1 FPS.

Would rewriting the program in C++ result in any significant performance boosts? If so, why? From my understanding the typical industry workflow seems to be prototyping in Python then deploying in C++. However most PyTorch functions are already just wrappers for C++ …

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