S3 doesn't have enough floating point processing power, so what I do is to split the model in two, run the model in series, and represent floating point values as block floating point, essentially compressing the floating point representations.
The null test peak sits at -60dB in the worst case, in 193 different NAM profiles I tested, which is basically inaudible. You can listen to the different profiles here https://playtaurus.com/blog/running-nam-a2-full-natively-on-... and listen to the difference between A2-full and A2-lite, vs A2-full and my approach.
S3 doesn't have enough floating point processing power, so what I do is to split the model in two, run the model in series, and represent floating point values as block floating point, essentially compressing the floating point representations.
The null test peak sits at -60dB in the worst case, in 193 different NAM profiles I tested, which is basically inaudible. You can listen to the different profiles here https://playtaurus.com/blog/running-nam-a2-full-natively-on-... and listen to the difference between A2-full and A2-lite, vs A2-full and my approach.