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Dear clearml team,
Is there any plan for cuDNN support? For example I want to use tensorflow, but it requires a certain version of cuDNN to work,
link here -> https://www.tensorflow.org/install/source#gpu
According to this table, tensorflow 2.15.0 requires CUDA 12.2 and cuDNN 8.9, is it possible to support something like that? like a build-in or pre-installed cuDNN to the docker image.
Thz!
The text was updated successfully, but these errors were encountered:
We tried to keep it as lean as possible, but to add cudnn you could build your own docker with:
FROM clearml/fractional-gpu:u22-cu12.3-8gb
# upgrade torch to the latest version
RUN pip3 install -U clearml torch torchvision torchaudio torchdata torchmetrics torchrec torchtext nvidia-cudnn-cu12
Dear clearml team,
Is there any plan for cuDNN support? For example I want to use tensorflow, but it requires a certain version of cuDNN to work,
link here -> https://www.tensorflow.org/install/source#gpu
According to this table, tensorflow 2.15.0 requires CUDA 12.2 and cuDNN 8.9, is it possible to support something like that? like a build-in or pre-installed cuDNN to the docker image.
Thz!
The text was updated successfully, but these errors were encountered: