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When I try to run python train_wavernn.py, it does a few steps then fails with one of these messages:
CUDNN_STATUS_EXECUTION_FAILED
CUDNN_STATUS_INTERNAL_ERROR
RuntimeError: Unable to find a valid cuDNN algorithm to run convolution
Workaround 1:
(This only works on RTX 2000 and earlier.)
Downgrade PyTorch to PyTorch 1.7.0 + CUDA 10.2 + cuDNN 7.6.4.
Workaround 2:
Switch to Linux, it works fine there even with CUDA 11 + cuDNN 8.04.
Workaround 3:
(This slows down training 5x.)
At the top of train_wavernn.py, do:
torch.backends.cudnn.enabled = True
Other notes
I tried building PyTorch 1.8.0a + CUDA 11.1 + cuDNN 8.0.4 from source, but that didn't fix the issue.
I tried building PyTorch 1.8.0a + CUDA 11.1 + cuDNN 8.0.5 from source, but that didn't fix the issue.
The text was updated successfully, but these errors were encountered:
serg06
changed the title
train_wavernn.py CUDNN_STATUS_EXECUTION_FAILED with CUDA 11 / cuDNN 8.0.4
train_wavernn.py CUDNN_STATUS_EXECUTION_FAILED on Windows 10 + CUDA 11 + cuDNN 8.0.4
Oct 31, 2020
System
Problem
When I try to run
python train_wavernn.py
, it does a few steps then fails with one of these messages:CUDNN_STATUS_EXECUTION_FAILED
CUDNN_STATUS_INTERNAL_ERROR
RuntimeError: Unable to find a valid cuDNN algorithm to run convolution
Workaround 1:
(This only works on RTX 2000 and earlier.)
Downgrade PyTorch to
PyTorch 1.7.0 + CUDA 10.2 + cuDNN 7.6.4
.Workaround 2:
Switch to Linux, it works fine there even with
CUDA 11 + cuDNN 8.04
.Workaround 3:
(This slows down training 5x.)
At the top of
train_wavernn.py
, do:Other notes
PyTorch 1.8.0a + CUDA 11.1 + cuDNN 8.0.4
from source, but that didn't fix the issue.PyTorch 1.8.0a + CUDA 11.1 + cuDNN 8.0.5
from source, but that didn't fix the issue.The text was updated successfully, but these errors were encountered: