ubuntu14.04安装cuda

1 装系统时候注意，另外14.04要好于12.04，自带了无线驱动

 ubuntu14.04安装完不要update

2 安装cuda和cudnn

http://blog.csdn.net/l297969586/article/details/53320706

我安装时候cuda8，cudnn选用V5，因为最新的和显卡有问题

 3 sudo apt-get upgate出问题：

在安装更新，命令行sudo apt-get update 或者运行更新管理器的时候，出现W: GPG 错误：http://ppa.launchpad.NET lucid Release: 由于没有公钥，无法验证下列签名： NO_PUBKEY FAF69C646FF368B7的问题，可以在终端中运行：sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys FAF69C646FF368B7

问题可以解决。

4 安装和编译opencv

http://www.cnblogs.com/weiweisuhe/p/6112850.html

http://www.cnblogs.com/freeweb/p/5794447.html

5 MXNET安装参考文档

http://www.cnblogs.com/weiweisuhe/p/6112850.html

6 安装python NUMPY,SCIPY（before 4）

http://blog.csdn.net/MMChinaMM/article/details/51104450

  最后如果有在运行期间遇到下列问题：
File "/usr/lib/python2.7/dist-packages/numpy/__init__.py", line 137, in <module>
import add_newdocs
File "/usr/lib/python2.7/dist-packages/numpy/add_newdocs.py", line 9, in <module>
from numpy.lib import add_newdoc
File "/usr/lib/python2.7/dist-packages/numpy/lib/__init__.py", line 13, in <module>
from polynomial import *
File "/usr/lib/python2.7/dist-packages/numpy/lib/polynomial.py", line 17, in <module>
from numpy.linalg import eigvals, lstsq
File "/usr/lib/python2.7/dist-packages/numpy/linalg/__init__.py", line 48, in <module>
from linalg import *
File "/usr/lib/python2.7/dist-packages/numpy/linalg/linalg.py", line 23, in <module>
from numpy.linalg import lapack_lite
ImportError: /usr/lib/liblapack.so.3gf: undefined symbol: ATL_chemv
我的理解是：问题处在 liblapack.so.3gf 这个库里面了。

liblapack.so.3gf: undefined symbol: ATL_chemv:
解决办法:
sudo apt-get remove libopenblas-base

 

7 python decoding 错误

http://blog.csdn.net/hugleecool/article/details/17996993

8 python CV的支持

安装很简单  apt-cache search python-opencv 搜索下
然后 apt-get install python-opencv  安装就可以了

9 安装matlab

http://blog.csdn.net/lanbing510/article/details/41698285

10 nydusVPN 设置

http://www.nybbs.info/forum.php?mod=viewthread&tid=61826

http://www.nyduschina.org/help#faq

http://www.nybbs.info/forum.php? ... &extra=page%3D1

11 caffe安装编译

(0) make

http://caffe.berkeleyvision.org/installation.html#compilation

sudo apt-get install libboost-all-dev(1)make pycaffe

vi ~/.bashrc

export PYTHONPATH=/usr/caffe/python:$PYTHONPATH

source ~/.bashrc

1. sudo apt-get install python-pip
2. sudo atp-get install python-dev python-numpy
3. sudo apt-get install gfortran
4. sudo pip install –r python/requirements.txt (或者把里面的挨个安装了)
5. sudo pip install pydotnumpy scipy matplotlib sklearn skimage h5py protobuf leveldb networkx nose pandas gflags Cython ipython gfortran

(2) make matcaffe

在Makefile里面，大约第410行那一句话CXXFLAGS += -MMD -MP下面添加CXXFLAGS += -std=c++11，最后是这样
CXXFLAGS += -MMD -MP
CXXFLAGS += -std=c++11
然后在caffe根目录下make clean,make all

12

libcudart.so.7.5: cannot open shared object file: No such file or directory

 

错误：

在ubuntu14.04t环境下，配置MXNet后，导入mxnet库出现如题错误；

 

解决：

64-bit: sudo ldconfig /usr/local/cuda/lib64