cuDNN lib mismatch using mxnet 1.9.1

[IzanCatalan]

Description

When loading any mxnet (as mx in the picture) function, mx.nd.ones or mx.gpu(0) for example, I get a warning about cudnn mismatch after an error in cublas.

This cublas error is solved when instead of executing mx.gpu(0), i execute mx.gpu(). In both cases, GPU is detected. When the error did not appear, I noticed an underutilisation of the GPU.

I wonder if this underutilization is due to the mismatching. In that case, is there any solution to eliminate the warning without installing another version of cudnn or cuda?

Also, I execute onnxruntime-gp, but it looks like mxnet throws the warning.

Thanks!

Izan.

Environment

Mxnet-cu112 version 1.9.1 python version 3.8 cuda version 11.2 cudnn version 8.2.1 onnxruntime-gpu version 1.12

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[jun297]

Is there any updates for this issue?