sdatkinson
[BUG] NAM and NAM Universal being CPU hungry after reloading project
Hey there, I've been using NAM and NAM Universal on M1 Max without issues for a couple of months, so I started suggesting it to two of my students whom wanted to get better guitar tone. They're both on windows, one was in win10 before upgrading to win11 a couple days ago, and the other is on win11 also Both of them using Ableton Live 11 and 12. We load NAM without issues, but after reloading Ableton Live and reopening the project file, NAM stars consuming a lot of CPU, turning the session unusable even with a buffer size of 1024 or 2048. The problem it's not the CPU itself because if I load a new NAM instance, with the same model, it won't gave any issues.
Does anyone faced the same problem? thanks in advance
Create a new issue here instead please: https://github.com/sdatkinson/NeuralAmpModelerPlugin/issues/new/choose
(this is for the trainer, not the plugin)
@DomMcsweeney @FranOjedaCMusic not to worry, I can transfer the Issue across repos (thanks, GitHub!)
@FranOjedaCMusic , can you have a look at the Issue template for bug reports on this repo and edit your OP to provide the other info it asks for? I'll also add that I'm curious whether reducing the buffer changes things.
if reducing buffer will help, then it's the same issue like with me https://github.com/sdatkinson/NeuralAmpModelerPlugin/issues/561
if reducing buffer will help, then it's the same issue like with me #561
I checked your issue, but it's not. After reloading the session, with the sample buffer size, it consumes an unreasonable amount of CPU, making the session unusable
@DomMcsweeney @FranOjedaCMusic not to worry, I can transfer the Issue across repos (thanks, GitHub!)
@FranOjedaCMusic , can you have a look at the Issue template for bug reports on this repo and edit your OP to provide the other info it asks for? I'll also add that I'm curious whether reducing the buffer changes things.
I will try to. As i stated above, Im running Mac without issues, but I'll have to wait for my students to give me more info about their hardware Also later I'll try to replicate the issue on my win machine