kirk86 commented on issue #4696: run errors URL: https://github.com/apache/incubator-mxnet/issues/4696#issuecomment-455882739 > Given that you have multiple versions of CUDA (and assuming NV drivers too), it might be caused by a mix-up of libraries from different versions being loaded. There are no NV drivers installed. > Since you have CUDA 9.0, let's make that work first. Yes that's the only version of `mxnet-cu90` which actually works. But it doesn't really explain why I can't use for instance `mxnet-cu92` because for instance with tensorflow or pytorch I can install which ever version of cuda I want on my conda environment and both pick up that particular cuda version installed on the conda environment and work pretty well. There's also an issue with `train_imagenet.py`, running that example complains about `base_lr` argument on the code base only after complete removing that default argument in on of the function definitions I was able to run the example code
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