Created by: 1224wxwx

版本、环境信息： 1）PaddlePaddle版本：PaddlePaddle版本v1.6.3，PaddleDetection版本0.1 2）CPU： 3）GPU：K80，CUDA 9.0，CUDNN7.6.5 4）系统环境：官方docker ubuntu16.04，使用其中的python3进行paddleDetection的安装

安装方式信息： 3）docker编译：请提供docker镜像，编译命令
docker pull hub.baidubce.com/paddlepaddle/paddle:1.6.3-gpu-cuda9.0-cudnn7

复现信息：如为报错，请给出复现环境、复现步骤

问题描述：请详细描述您的问题，同步贴出报错信息、日志/代码关键片段

进入官方docker，下载cudnn-9.0-linux-x64-v7.6.5.32.tgz后，把解压开的文件放到相应位置（参考https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#installlinux-tar ，如果不做这一步，则后续make预测库时候会报错缺失usr/local/cuda/lib64/libcudnn.so文件）

安装cmake随后再官方docker里根据 https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.1/inference/docs/linux_build.md 里的描述一步步操作，只是在cmake opencv的时候，把-DCMAKE_INSTALL_LIBDIR=lib64这个参数去掉（文档里可能是写错了），否则会导致make预测库的时候报错缺失libopencv_imgcodes.a这个文件。随后一切按照文档里的步骤执行到make预测库会报错如下：

Thank you for contributing to PaddlePaddle. Before submitting the issue, you could search issue in Github in case that there was a similar issue submitted or resolved before. If there is no solution,please make sure that this is an installation issue including the following details: System information -PaddlePaddle version （eg.1.1）or CommitID -CPU: including CPUMKL/OpenBlas/MKLDNN version -GPU: including CUDA/CUDNN version -OS Platform (eg. Mac OS 10.14) -Python version

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