Dan Bigioi

> > Try to add this line in models.py > > torch.backends.cudnn.enabled=False > > This worked, but now I'm running into this issue: > > ``` > ======================================= > Start...

I tried running the autoregressive model with WaveRNN instead and I get the same error at inference stage. I dont think its a GPU issue either as I tried running...

@aayushkubb This is the nvidia-smi trace: ``` +-----------------------------------------------------------------------------+ | NVIDIA-SMI 451.22 Driver Version: 451.22 CUDA Version: 11.0 | |-------------------------------+----------------------+----------------------+ | GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC...

@aayushkubb The batch size is most probable to be the cause. Do you know where I would go to change it?

Sure, you would have to modify a bunch of stuff, but feel free to use our code as you would like to :)

Hi Guys, Yes, I am submitting a revised version of the manuscript next week, and will also make everything public that day including all datasets and scripts. @baiyuting Don't bother...

Just a heads up guys, I've uploaded everything you need to start training/finetuning/running inference. I'll make some tutorial videos tomorrow too to better understand the code.

@azuredsky @baiyuting @sdulyq