Couple times in the past I wanted to port open source ML models from CUDA/Python to a better technology stack. I have ported Whisper https://github.com/Const-me/Whisper/ and Mistral https://github.com/Const-me/Cgml/ to D3D11. I don’t remember how much time I spent, but given both were unpaid part-time hobby projects, probably under 160 hours / each.

These software projects were great to validate the technology choices, but note I only did bare minimum to implement specific ML models. Implementing a complete PyTorch backend gonna involve dramatically more work. I can’t even estimate how much more because I’m not an expert in Python or these Python-based ML libraries.