Error with gin path - Githubissues

Hi I'm having an error that seems to be related to .gin paths, I'm using ubuntu 20.04.6 LTS. Tried 6 separate conda envs python 3.9, 3.10, 3.11 x acids-rave 2.3 and 2.3.1, installing torch as instructed on their started locally page, then pip installing acids-rave and conda installing ffmpeg. I get the following error across all 6 envs. Previous to the 6 envs I downloaded the latest code from github and ran it that way and got the same error which is why I switched to pip. Training begins but the error makes me worry that it might not be doing its best/not working at 100% efficiency/accuracy/capacity. I am about to try the same 6 combinations on windows, but wondering why its not working on Ubuntu, it seems others have had similar issues. Thanks kindly in advance for any help and for this great release!

edit: also tried v1 config flag when training. also tried modifying the train script and explicitly entering the path for the gin file for the version ie v1, v3 and then i didnt get "Path not found" for that gin file but the others still remained

I0318 18:11:02.146387 140345576497536 resource_reader.py:50] system_path_file_exists:v3.gin
E0318 18:11:02.146519 140345576497536 resource_reader.py:55] Path not found: v3.gin
I0318 18:11:02.146563 140345576497536 resource_reader.py:50] system_path_file_exists:/home/andrew/anaconda3/envs/r311_2/lib/python3.11/site-packages/rave/v3.gin
E0318 18:11:02.146600 140345576497536 resource_reader.py:55] Path not found: /home/andrew/anaconda3/envs/r311_2/lib/python3.11/site-packages/rave/v3.gin
I0318 18:11:02.146746 140345576497536 resource_reader.py:50] system_path_file_exists:configs/v2.gin
E0318 18:11:02.146812 140345576497536 resource_reader.py:55] Path not found: configs/v2.gin
I0318 18:11:02.147111 140345576497536 resource_reader.py:50] system_path_file_exists:configs/v1.gin
E0318 18:11:02.147179 140345576497536 resource_reader.py:55] Path not found: configs/v1.gin
I0318 18:11:02.155839 140345576497536 resource_reader.py:50] system_path_file_exists:configs/adain.gin
E0318 18:11:02.155908 140345576497536 resource_reader.py:55] Path not found: configs/adain.gin
I0318 18:11:02.156362 140345576497536 resource_reader.py:50] system_path_file_exists:configs/snake.gin
E0318 18:11:02.156426 140345576497536 resource_reader.py:55] Path not found: configs/snake.gin
I0318 18:11:02.157845 140345576497536 resource_reader.py:50] system_path_file_exists:configs/descript_discriminator.gin
E0318 18:11:02.157911 140345576497536 resource_reader.py:55] Path not found: configs/descript_discriminator.gin
/home/andrew/anaconda3/envs/r311_2/lib/python3.11/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
/home/andrew/anaconda3/envs/r311_2/lib/python3.11/site-packages/torchaudio/transforms/_transforms.py:94: UserWarning: `return_complex` argument is now deprecated and is not effective.`torchaudio.transforms.Spectrogram(power=None)` always returns a tensor with complex dtype. Please remove the argument in the function call.
  warnings.warn(
train set: 529 examples
val set: 11 examples
selected gpu: [0]
GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
IPU available: False, using: 0 IPUs
HPU available: False, using: 0 HPUs
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]

  | Name                     | Type                  | Params
-------------------------------------------------------------------
0 | pqmf                     | CachedPQMF            | 16.7 K
1 | encoder                  | VariationalEncoder    | 16.1 M
2 | decoder                  | GeneratorV2           | 15.5 M
3 | discriminator            | DescriptDiscriminator | 42.5 M
4 | audio_distance           | AudioDistanceV1       | 0     
5 | multiband_audio_distance | AudioDistanceV1       | 0     
-------------------------------------------------------------------
74.1 M    Trainable params
0         Non-trainable params
74.1 M    Total params
296.313   Total estimated model params size (MB)
Sanity Checking DataLoader 0: 100%|███████████████| 2/2 [00:00<00:00,  3.21it/s]Computing receptive field for this configuration...
^Z
[1]+  Stopped

acids-ircam / RAVE

Error with gin path #303