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This repository was archived by the owner on Sep 24, 2020. It is now read-only.
This repository was archived by the owner on Sep 24, 2020. It is now read-only.

I have the exact same config as mentioned by you in the readme but I get this error - tensorflow-1.8.0-cp36-cp36m-linux_x86_64(cuda9.2+cudnn7.1.4).whl is not a supported wheel on this platform. #2

@gagandeepsinghsuri

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@gagandeepsinghsuri

I have cuda 9.0 installed too and I have /usr/local/cuda pointed to cuda-9.0 dir. But in my bashrc, I updated env params as following -

export PATH=/usr/local/cuda-9.2/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-9.2/lib64:${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

I have ubuntu 18.04 with Nvidia driver version 390.48
cuda 9.2, cudnn 7.1, nccl 2.2.13.
python 3.6.5

Also, did you also compile the binary with nccl support?

Thanks.

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