在測試gpuburn的docker鏡像時，使用以下dockerfile，

FROM nvidia/cuda:9.0-develRUN apt-get update && \ apt-get install -y --no-install-recommends \wget \&& rm -rf /var/lib/apt/lists/*WORKDIR /root RUN wget http://wili.cc/blog/entries/gpu-burn/gpu_burn-1.1.tar.gz \&& tar xzf gpu_burn-1.1.tar.gz \&& makeENTRYPOINT [ "/root/gpu_burn" ] CMD [ "10" ]

在build時提示報錯

E: Failed to fetch https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/Packages Writing more data than expected (1309930 > 1308522) E: Some index files failed to download. They have been ignored, or old ones used instead. The command '/bin/sh -c apt-get update && apt-get install -y --no-install-recommends wget && rm -rf /var/lib/apt/lists/*' returned a non-zero code: 100

經搜索得知需要刪除以前的 cuda相關的源sourlist文件,即在 RUN apt-get update 前執行 以下操作

RUN rm /etc/apt/sources.list.d/cuda.list && rm /etc/apt/sources.list.d/nvidia-ml.list

最終的dockerfile如下

FROM nvidia/cuda:9.0-develRUN rm /etc/apt/sources.list.d/cuda.list && rm /etc/apt/sources.list.d/nvidia-ml.list RUN apt-get update && \ apt-get install -y --no-install-recommends \wget \&& rm -rf /var/lib/apt/lists/*WORKDIR /root RUN wget http://wili.cc/blog/entries/gpu-burn/gpu_burn-1.1.tar.gz \&& tar xzf gpu_burn-1.1.tar.gz \&& makeENTRYPOINT [ "/root/gpu_burn" ] CMD [ "10" ]

然后就可以使用docker build 構建鏡像了

docker build -t gpuburn .

?

總結

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