jatinchowdhury18

> Is there a better place to continue this discussion that isn't clogging up the issue token? I'd be happy to open a channel/thread on the [RTNeural Discord](https://discord.gg/QMBBucKt4Q) if people...

Okay, I _finally_ have something useful to share on this. Thanks all for your patience. I've put together a repo with a demo of a NAM-style WaveNet model implemented in...

> What Tanh implementation are you using? When we switched to using a Tanh approximation in NAM it made a _huge_ performance difference. At the moment, the RTNeural implementation is...

Hi, thanks for the bug report! My best guess as to the root cause of the issue is that their may be some compatibility issue with the plugin's OpenGL support,...

Ah okay, that's good to know. Frankly I'm not super familiar about the way JUCE's OpenGL renderrer interfaces with the system's OpenGL capabilities, so that may be a bit of...

Ooh! Thanks for mentioning that, I hadn't noticed that JUCE 7.0.4 was out, and that it included some OpenGL fixes for Linux. I pushed a commit a few minutes ago...

Ah, that'll teach me not to be to trigger-happy with `git push` at 2am. So it looks like all the plugins can build fine when linked with OpenGL, except the...

> Okej, if you want you could make the build without LV2 if the user want Opengl and disable Opengl if the user want LV2. Yeah, I might go with...

Usually I make a parameter listener by doing something like: ```cpp callback = pluginState.addParameterListener (...); ``` where `callback` is a `chowdsp::ScopedCallback`. The parameter listener will effectively be "deleted" when the...

Interesting, thanks for sharing... I guess there's a couple of layers of things going on here. My first question is if Eigen and XSIMD work on your target platform in...