AttributeError: 'ResidualCouplingTransformersLayer2' object has no attribute 'remove_weight_norm' about mb-istft-vits2 HOT 1 CLOSED

From my experience, I will add what I personally encountered.
In requirements.txt you have row with pyopenjtalk==0.2.0. There was a problem for me on env witho building the wheel. I added pyopenjtalk==0.2.0 --no-build-isolation and everything was good.
Also zoneinfo is required, but the supported version of python is >=3.9, but your app need 3.8. I had to change several files to "from backports.zoneinfo import zoneinfo" from "import zoneinfo"

Now I'm trying to run inference.ipynb to check the model but there was a problem with error

UPD. There was a problem with kernel. I fixed it, but another error is
UPD 2: Everything worx! Just was a problem with cuda 0,1. Changed to 1 device and it worx! Thank you very much for support. Now I'm ready to train to another language and make a multi-lingual speaker.

Using mel posterior encoder for VITS2
Multi-band iSTFT VITS2

RuntimeError Traceback (most recent call last)
Cell In[5], line 12
9 posterior_channels = hps.data.filter_length // 2 + 1
10 hps.data.use_mel_posterior_encoder = False
---> 12 net_g = SynthesizerTrn(
13 len(symbols),
14 posterior_channels,
15 hps.train.segment_size // hps.data.hop_length,
16 # n_speakers=hps.data.n_speakers, #- for multi speaker
17 **hps.model).to(device)
18 _ = net_g.eval()
20 _ = utils.load_checkpoint(path_to_model, net_g, None)

File ~/.local/lib/python3.8/site-packages/torch/nn/modules/module.py:970, in Module.to(self, *args, **kwargs)
883 def to(self, *args, **kwargs):
884 r"""Moves and/or casts the parameters and buffers.
885
886 This can be called as
(...)
967
968 """
--> 970 device, dtype, non_blocking, convert_to_format = torch._C._nn._parse_to(*args, **kwargs)
972 if dtype is not None:
973 if not (dtype.is_floating_point or dtype.is_complex):

RuntimeError: Invalid device string: 'cuda:0,1'

from mb-istft-vits2.