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Unexpected error calling cuDNN: CUDNN_STATUS_BAD_PARAM.

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Hi,
This error stops training when the 'ExecutionEnvironment' is 'parallel', 'multi-gpu', or 'gpu'. Training is running uninterrupted when set to 'cpu'. I'm running code for the first time on Ubuntu 20.04.2 LTS system with Intel i9 12 core cpu and 2x 3070 gpu's. It indicates only 12 workers and seems to not recognize the gpus.
Any suggestions and help is welcome.
Thank-you

Accepted Answer

Joss Knight
Joss Knight on 21 Mar 2021
Edited: Joss Knight on 23 Mar 2021
After some investigation (see thread below), this problem seems to be limited to RTX 3080 and 3070 and Linux. It can be worked around by disabling tensor cores. Restart MATLAB and run
setenv NVIDIA_TF32_OVERRIDE 0
before you do anything else. Further investigations are under way to look for a solution that doesn't require this workaround, which will reduce performance.
Original answer:
Are you running MATLAB release R2021a? The 3070 is not supported on earlier releases.
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