-
Notifications
You must be signed in to change notification settings - Fork 54
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor #72
Comments
Below are the changes to TextMelDataset:
|
Below are the changes to baselightningmodule.py
|
Hello! My main suspect is this error
This points something is wrong with access to CUDA either memory is full (reduce the batch size) or some operation is not supported due to some reason. |
I see, so is this only a error about cuda rather than dataloader or model architecture? |
Yeah, the dataloading warning
is just for plotting on tensorboard since we do not explicitly provide it batch size, it treats the first index as the batch size, which is fine! |
I see, thank you! |
Hello, I haven't heard anything about this in the past few weeks. I am closing it for now feel free to reopen it if something still persists. |
I modified the architecture to perform emotion speech synthesis training using a pre-trained wav2vec model to extract emotion features from audio files (dim=1024). The modification involves mapping these emotion features to the same dimension as the embedded text and then adding them together, as illustrated in the diagram below.
Although the training runs, it has become significantly slower, and I'm encountering the following warning message during the training process:
Is the problem related to the dataset configuration?
The text was updated successfully, but these errors were encountered: