updates for gpu dockerfile

Dockerfile-gpu

@@ -1,49 +1,4 @@
-FROM ubuntu:16.04
-LABEL maintainer "NVIDIA CORPORATION <[email protected]>"
-LABEL com.nvidia.volumes.needed="nvidia_driver"
-RUN NVIDIA_GPGKEY_SUM=d1be581509378368edeec8c1eb2958702feedf3bc3d17011adbf24efacce4ab5 && \
-    NVIDIA_GPGKEY_FPR=ae09fe4bbd223a84b2ccfce3f60f4b3d7fa2af80 && \
-    apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub && \
-    apt-key adv --export --no-emit-version -a $NVIDIA_GPGKEY_FPR | tail -n +5 > cudasign.pub && \
-    echo "$NVIDIA_GPGKEY_SUM  cudasign.pub" | sha256sum -c --strict - && rm cudasign.pub && \
-    echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list
-ENV CUDA_VERSION 8.0
-LABEL com.nvidia.cuda.version="8.0"
-ENV CUDA_PKG_VERSION 8-0=8.0.44-1
-RUN apt-get update && apt-get install -y --no-install-recommends \
-        cuda-nvrtc-$CUDA_PKG_VERSION \
-        cuda-nvgraph-$CUDA_PKG_VERSION \
-        cuda-cusolver-$CUDA_PKG_VERSION \
-        cuda-cublas-$CUDA_PKG_VERSION \
-        cuda-cufft-$CUDA_PKG_VERSION \
-        cuda-curand-$CUDA_PKG_VERSION \
-        cuda-cusparse-$CUDA_PKG_VERSION \
-        cuda-npp-$CUDA_PKG_VERSION \
-        cuda-cudart-$CUDA_PKG_VERSION && \
-    ln -s cuda-$CUDA_VERSION /usr/local/cuda && \
-    rm -rf /var/lib/apt/lists/*
-RUN echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/cuda.conf && \
-    ldconfig
-RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \
-    echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
-ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64
-
-RUN apt-get update && apt-get install -y --no-install-recommends \
-        curl && \
-    rm -rf /var/lib/apt/lists/*
-
-ENV CUDNN_VERSION 5
-LABEL com.nvidia.cudnn.version="5"
-
-RUN CUDNN_DOWNLOAD_SUM=a87cb2df2e5e7cc0a05e266734e679ee1a2fadad6f06af82a76ed81a23b102c8 && \
-    curl -fsSL http://developer.download.nvidia.com/compute/redist/cudnn/v5.1/cudnn-8.0-linux-x64-v5.1.tgz -O && \
-    echo "$CUDNN_DOWNLOAD_SUM  cudnn-8.0-linux-x64-v5.1.tgz" | sha256sum -c --strict - && \
-    tar -xzf cudnn-8.0-linux-x64-v5.1.tgz -C /usr/local --wildcards 'cuda/lib64/libcudnn.so.*' && \
-    rm cudnn-8.0-linux-x64-v5.1.tgz && \
-    ldconfig && \
-    ln -s /usr/local/cuda/lib64/libcudnn.so.5 /usr/local/cuda/lib64/libcudnn.so
-
+FROM nvidia/cuda:8.0-cudnn5-runtime-ubuntu16.04
 ENV LD_LIBRARY_PATH $LD_LIBRARY_PATH:/usr/local/cuda/lib64
 
 ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
@@ -66,7 +21,7 @@ RUN apt-get install -y curl grep sed dpkg && \
 
 ENV PATH /opt/conda/bin:$PATH
 
-ENV TENSORFLOW_VERSION 1.0.0
+ENV TENSORFLOW_VERSION 1.1.0
 RUN pip install tensorflow-gpu==$TENSORFLOW_VERSION 
 # RUN conda update conda; conda update --all