2024-11-01 14:35:17.502 Lightning automatically upgraded your loaded checkpoint from v1.5.4 to v2.3.3. To apply the upgrade to your files permanently, run `python -m pytorch_lightning.utilities.upgrade_checkpoint ../root/.cache/torch/whisperx-vad-segmentation.bin`
2024-11-01 14:35:17.506 Created a temporary directory at /tmp/tmpjel29n24
2024-11-01 14:35:17.506 Writing /tmp/tmpjel29n24/_remote_module_non_scriptable.py
/opt/conda/lib/python3.10/site-packages/pyannote/audio/utils/reproducibility.py:74: ReproducibilityWarning: TensorFloat-32 (TF32) has been disabled as it might lead to reproducibility issues and lower accuracy.
It can be re-enabled by calling
>>> import torch
>>> torch.backends.cuda.matmul.allow_tf32 = True
>>> torch.backends.cudnn.allow_tf32 = True
See https://github.com/pyannote/pyannote-audio/issues/1370 for more details.
warnings.warn(
Unable to load any of {libcudnn_ops.so.9.1.0, libcudnn_ops.so.9.1, libcudnn_ops.so.9, libcudnn_ops.so}
Invalid handle. Cannot load symbol cudnnCreateTensorDescriptor
We are using cudnn8 in torch docker base image, this needs to be updated.
We are using cudnn8 in torch docker base image, this needs to be updated.
I'm now checking if updating breaks anything.