Excitingly, I got “ML_Bootstrap” up and running on the live servers using some workarounds. It’s no champ, but it’s competing alright. The algo ID is 56279 for those that want to see it derp around and place weird things.
Here’s an alternative method to getting a Keras model running on the live servers without needing Keras, Tensorflow, or Numpy as dependencies:
- Using this repo, get your Keras model running locally on C++
- Using your choice of Python-C++ interfacing, (I used this method), get your C++ model back into your Python algo
- Spend many hours debugging
A couple notes on debugging this: std::cout will mess up the game engine, but you can replace those with std::cerr. Also, the JSON and H5 to plain text conversion is outdated. Line 30 of dump_to_simple_cpp.py should read arch["config"]["layers"]. Everything else should be regular debugging. There may have been some other fixes I had to make, so if anyone’s trying to attempt this and is having immense difficulty, I can fork the repo and upload a fixed version.
This upside to this method over the other discussed ones is that you can get your Keras model up and running without figuring out how to load a model and its weights while also avoiding implementing a forward propagation method. The downside, of course, is you’re debugging a slightly broken library, and that’s no fun.