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Well...It seems that there is no cuDNN 8 yet. The latest one is cuDNN 7.5 for CUDA 10.1
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OK. It turns out that there seems to be some incompatible bugs between cuda/torch and some RTX GPUs.
I got the problem fixed by installing cuda92 in my virtual env:
conda install pytorch cuda92 -c pytorch
So now my configurations are:
win7 with RTX 2070, cuda 10.1.105
anaconda virtual env:
python 3.7.3
cudatoolkit 10.0.130
cudnn 7.3.1
cuda92 1.0
pytorch 1.1.0
Also, when I train the model, I need to add an exception line in enc_model.py:
Change line 773 to be:
try:
train_loss += loss.data[0]
except IndexError:
train_loss+=loss.data.item()
Similarly, change line 822 to be:
try:
test_loss += (self.criterion(output, Disease)).data[0]
except IndexError:
test_loss += (self.criterion(output, Disease)).data.item()
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