Merge pull request #1699 from gangliao/cuda8.0

[Done] Upgrade CUDA 8.0 in Docker

Dockerfile

 # A image for building paddle binaries
 # Use cuda devel base image for both cpu and gpu environment
-FROM nvidia/cuda:7.5-cudnn5-devel-ubuntu14.04
+FROM nvidia/cuda:8.0-cudnn5-devel-ubuntu14.04
 MAINTAINER PaddlePaddle Authors <paddle-dev@baidu.com>
 
 ARG UBUNTU_MIRROR

cmake/cudnn.cmake

@@ -11,6 +11,7 @@ list(APPEND CUDNN_CHECK_LIBRARY_DIRS
     ${CUDNN_ROOT}
     ${CUDNN_ROOT}/lib64
     ${CUDNN_ROOT}/lib
+    ${CUDNN_ROOT}/lib/x86_64-linux-gnu
     $ENV{CUDNN_ROOT}
     $ENV{CUDNN_ROOT}/lib64
     $ENV{CUDNN_ROOT}/lib

doc/getstarted/build_and_install/docker_install_cn.rst

@@ -57,7 +57,14 @@ PaddlePaddle发布的docker镜像使用说明
 
     如果输出是No，就需要选择使用no-AVX的镜像
 
-    注意：在运行GPU版本的镜像时 安装CUDA驱动，以及告诉Docker：
+    以上方法在GPU镜像里也能用，只是请不要忘记提前在物理机上安装GPU最新驱动。
+    为了保证GPU驱动能够在镜像里面正常运行，我们推荐使用[nvidia-docker](https://github.com/NVIDIA/nvidia-docker)来运行镜像。
+
+    .. code-block:: bash
+
+        nvidia-docker run -it --rm paddledev/paddle:0.10.0rc1-gpu /bin/bash
+
+    注意: 如果使用nvidia-docker存在问题，你也许可以尝试更老的方法，具体如下，但是我们并不推荐这种方法。：
 
     .. code-block:: bash
 

doc/getstarted/build_and_install/docker_install_en.rst

@@ -79,8 +79,15 @@ latest versions under "tags" tab at dockerhub.com.
 
        If it doesn't, we will use the non-AVX images.
 
-    Notice please don't forget
-    to install CUDA driver and let Docker knows about it:
+    Above methods work with the GPU image too -- just please don't forget
+    to install GPU driver. To support GPU driver, we recommend to use 
+    [nvidia-docker](https://github.com/NVIDIA/nvidia-docker). Run using
+
+    .. code-block:: bash
+
+        nvidia-docker run -it --rm paddledev/paddle:0.10.0rc1-gpu /bin/bash
+
+    Note: If you would have a problem running nvidia-docker, you may try the old method we have used (not recommended).
 
     .. code-block:: bash
 

paddle/scripts/docker/build.sh

@@ -4,7 +4,7 @@ set -e
 
 # Set BASE_IMAGE according to env variables
 if [ ${WITH_GPU} == "ON" ]; then
-  BASE_IMAGE="nvidia/cuda:7.5-cudnn5-runtime-ubuntu14.04"
+  BASE_IMAGE="nvidia/cuda:8.0-cudnn5-runtime-ubuntu14.04"
   # additional packages to install when building gpu images
   GPU_DOCKER_PKG="python-pip python-dev"
 else
@@ -12,11 +12,10 @@ else
 fi
 
 DOCKERFILE_GPU_ENV=""
+DOCKERFILE_CUDNN_DSO=""
 if [[ ${WITH_GPU:-OFF} == 'ON' ]]; then
     DOCKERFILE_GPU_ENV="ENV LD_LIBRARY_PATH /usr/lib/x86_64-linux-gnu:${LD_LIBRARY_PATH}"
-
-    # for cmake to find cudnn
-    ln -s /usr/lib/x86_64-linux-gnu/libcudnn.so /usr/lib/libcudnn.so
+    DOCKERFILE_CUDNN_DSO="RUN ln -s /usr/lib/x86_64-linux-gnu/libcudnn.so.5 /usr/lib/x86_64-linux-gnu/libcudnn.so"
 fi
 
 mkdir -p /paddle/build
@@ -95,7 +94,10 @@ RUN ${MIRROR_UPDATE}
 # Use different deb file when building different type of images
 ADD build/*.deb /usr/local/opt/paddle/deb/
 # run paddle version to install python packages first
-RUN dpkg -i /usr/local/opt/paddle/deb/*.deb && rm -f /usr/local/opt/paddle/deb/*.deb && paddle version
+RUN dpkg -i /usr/local/opt/paddle/deb/*.deb && \
+    rm -f /usr/local/opt/paddle/deb/*.deb && \
+    paddle version
+${DOCKERFILE_CUDNN_DSO} 
 ${DOCKERFILE_GPU_ENV}
 # default command shows the paddle version and exit
 CMD ["paddle", "version"]