Slim down FeMaSR for inference #207
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I noticed that FeMaSR contains a lot of code that was only used during training. Lots of loss calculations. So I removed all of that since spandrel focuses on inference.
Without the training code, FeMaSR is around 2x faster when you first run the model (since PyTorch has less code to compile), but repeated runs are as fast as before. Since this also removed some parameters, saved models are around 20% smaller.