jatinchowdhury18

Sure, having the `CoreAudioML` imports in there is fine, although I guess it would be good to add a comment at the top of the script like `# This script...

@MaxPayne86 Sure thing! My idea with some of the more recent commits was to add an interface that could be used to load PyTorch models directly from the `state_dict` JSON...

Ah, sorry I'm only seeing this now! I'm a big fan of guitarix, so this means a lot to me :). I've added guitarix to the [RTNeural README](https://github.com/jatinchowdhury18/RTNeural/blob/main/README.md#powered-by-rtneural), please let...

Hello! Yes, it is definitely possible to implement a TCN model (as described in the paper you linked) within RTNeural. I had done an implementation a few months ago, but...

Sure thing! I just uploaded my code here: https://github.com/jatinchowdhury18/RTNeural-Experimental/blob/main/examples/snafx/SNAFxModel.h As I had mentioned, it's not very well tested, but hopefully the overall ideas there are useful!

Hello! Glad you're enjoying the library. For question 1, having more advanced layers would definitely be cool. I don't know much about the two layer types you mentioned here, except...

Hmm, the code in your post seems like ti should work... Would it be possible to provide an example JSON model file, as well as an example input and output?...

Ah, the debug output from loading the model gives some idea of what's going on. The `# dimensions` line signifies that the model is expecting an input block of 1...

Ah, that's interesting. The batch size shouldn't matter, since I'm assuming you only want to run one batch at a time when doing inferencing. The "timesteps" dimension is a little...

Hmm yeah, I'm a little bit stumped by this one. I don't think I've tried training a network before where the input goes directly into a convolutional layer, without going...