Test wheels on CUDA 10.0 container for compatibility (#3838)
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@@ -21,13 +21,14 @@ RUN \
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# NCCL2 (License: https://docs.nvidia.com/deeplearning/sdk/nccl-sla/index.html)
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RUN \
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export CUDA_SHORT=`echo $CUDA_VERSION | egrep -o '[0-9]\.[0-9]'` && \
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export CUDA_SHORT=`echo $CUDA_VERSION | egrep -o '[0-9]+\.[0-9]'` && \
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if [ "${CUDA_SHORT}" != "10.0" ]; then \
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wget https://developer.download.nvidia.com/compute/redist/nccl/v2.2/nccl_2.2.13-1%2Bcuda${CUDA_SHORT}_x86_64.txz && \
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tar xf "nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64.txz" && \
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cp nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64/include/nccl.h /usr/include && \
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cp nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64/lib/* /usr/lib && \
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rm -f nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64.txz && \
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rm -r nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64
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rm -r nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64; fi
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ENV PATH=/opt/python/bin:$PATH
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ENV CC=/opt/rh/devtoolset-2/root/usr/bin/gcc
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