使用pip安装tensorflow 0.80，python 使用tensorflow 0.80遇到的问题及处理方法
http://blog.csdn.net/levy_cui/article/details/51251095
1.python 版本切换到2.7
推荐使用pythonbrew，http://blog.csdn.net/nuccch/article/details/17595161
2.pip安装相关包
安装tensorflow
pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl
Python 2.7.3 (default, Apr 26 2016, 11:18:30)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-16)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/python27/lib/python2.7/site-packages/tensorflow/__init__.py", line 23, in <module>
from tensorflow.python import *
File "/usr/local/python27/lib/python2.7/site-packages/tensorflow/python/__init__.py", line 45, in <module>
from tensorflow.python import pywrap_tensorflow
File "/usr/local/python27/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 28, in <module>
_pywrap_tensorflow = swig_import_helper()
File "/usr/local/python27/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow', fp, pathname, description)
ImportError: /lib64/libc.so.6: version `GLIBC_2.15' not found (required by /usr/local/python27/lib/python2.7/site-packages/tensorflow/python/_pywrap_tensorflow.so)
tensorflow0.80版本编译的时候使用GLIBC_2.15，系统自带的是GLIBC_2.12，所以报错了。
我使用的方法（直接升级glibc）：
yum install gcc
wget http://ftp.gnu.org/pub/gnu/glibc/glibc-2.17.tar.xz
xz -d glibc-2.17.tar.xz
tar -xvf glibc-2.17.tar
cd glibc-2.17
mkdir build
cd build
../configure --prefix=/usr --disable-profile --enable-add-ons --with-headers=/usr/include --with-binutils=/usr/bin
make && make install
需要等大概10分钟。
输入strings /lib64/libc.so.6|grep GLIBC发现已经更新
GLIBC_2.2.5
GLIBC_2.2.6
GLIBC_2.3
GLIBC_2.3.2
GLIBC_2.3.3
GLIBC_2.3.4
GLIBC_2.4
GLIBC_2.5
GLIBC_2.6
GLIBC_2.7
GLIBC_2.8
GLIBC_2.9
GLIBC_2.10
GLIBC_2.11
GLIBC_2.12
GLIBC_2.13
GLIBC_2.14
GLIBC_2.15
GLIBC_2.16
GLIBC_2.17
GLIBC_PRIVATE
Python 2.7.3 (default, Apr 26 2016, 11:18:30)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-16)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/python27/lib/python2.7/site-packages/tensorflow/__init__.py", line 23, in <module>
from tensorflow.python import *
File "/usr/local/python27/lib/python2.7/site-packages/tensorflow/python/__init__.py", line 45, in <module>
from tensorflow.python import pywrap_tensorflow
File "/usr/local/python27/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 28, in <module>
_pywrap_tensorflow = swig_import_helper()
File "/usr/local/python27/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow', fp, pathname, description)
ImportError: /usr/lib64/libstdc++.so.6: version `GLIBCXX_3.4.14' not found (required by /usr/local/python27/lib/python2.7/site-packages/tensorflow/python/_pywrap_tensorflow.so)
ImportError: /usr/lib64/libstdc++.so.6: version `GLIBCXX_3.4.14' not found
#strings /usr/lib64/libstdc++.so.6 | grep GLIBCXX
GLIBCXX_3.4
GLIBCXX_3.4.1
GLIBCXX_3.4.2
GLIBCXX_3.4.3
GLIBCXX_3.4.4
GLIBCXX_3.4.5
GLIBCXX_3.4.6
GLIBCXX_3.4.7
GLIBCXX_3.4.8
GLIBCXX_3.4.9
GLIBCXX_3.4.10
GLIBCXX_3.4.11
GLIBCXX_3.4.12
GLIBCXX_3.4.13
GLIBCXX_FORCE_NEW
GLIBCXX_DEBUG_MESSAGE_LENGTH
没有GLIBCXX_3.4.14版本支持，继续安装(注意：libstdc++6_4.7.2-5_amd64.deb这是64位，libstdc++6_4.7.2-5_i386.deb这个是32位)
下载新版本，地址：http://ftp.de.debian.org/debian/pool/main/g/gcc-4.7/libstdc++6_4.7.2-5_amd64.deb
ar -x libstdc++6_4.7.2-5_amd64.deb&&tar xvf data.tar.gz
#cd /root/usr/lib/x86_64-linux-gnu （进入解压文件的目录中，我这里是下/root目录下解压的）
#ll
lrwxrwxrwx 1 root root 19 Apr 26 15:21 libstdc++.so.6 -> libstdc++.so.6.0.17
-rw-r--r-- 1 root root 991600 Jan 7 2013 libstdc++.so.6.0.17
# find / -name libstdc++.so.6
/usr/lib64/libstdc++.so.6
/root/usr/lib/x86_64-linux-gnu/libstdc++.so.6
#mv /usr/lib64/libstdc++.so.6 /usr/lib64/libstdc++.so.6.bak
#cp libstdc++.so.6.0.17 /usr/lib64/
#cd /usr/lib64/
#chmod +x libstdc++.so.6.0.17
#ll libstdc++.so.6.0.17
-rwxr-xr-x 1 root root 991600 Apr 26 15:30 libstdc++.so.6.0.17
#ln -s libstdc++.so.6.0.17 libstdc++.so.6
#strings /usr/lib64/libstdc++.so.6 | grep GLIBCXX
GLIBCXX_3.4
GLIBCXX_3.4.1
GLIBCXX_3.4.2
GLIBCXX_3.4.3
GLIBCXX_3.4.4
GLIBCXX_3.4.5
GLIBCXX_3.4.6
GLIBCXX_3.4.7
GLIBCXX_3.4.8
GLIBCXX_3.4.9
GLIBCXX_3.4.10
GLIBCXX_3.4.11
GLIBCXX_3.4.12
GLIBCXX_3.4.13
GLIBCXX_3.4.14
GLIBCXX_3.4.15
GLIBCXX_3.4.16
GLIBCXX_3.4.17
GLIBCXX_DEBUG_MESSAGE_LENGTH
>>> import tensorflow as tf
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/python27/lib/python2.7/site-packages/tensorflow/__init__.py", line 23, in <module>
from tensorflow.python import *
File "/usr/local/python27/lib/python2.7/site-packages/tensorflow/python/__init__.py", line 45, in <module>
from tensorflow.python import pywrap_tensorflow
File "/usr/local/python27/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 28, in <module>
_pywrap_tensorflow = swig_import_helper()
File "/usr/local/python27/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow', fp, pathname, description)
ImportError: /usr/lib64/libstdc++.so.6: version `GLIBCXX_3.4.19' not found (required by /usr/local/python27/lib/python2.7/site-packages/tensorflow/python/_pywrap_tensorflow.so)
从网上下载libstdc++.so.6.0.20
推荐下载：
http://download.csdn.net/download/arackethis/8395651
（http://ftp.de.debian.org/debian/pool/main/g/gcc-4.8/或者
http://download.csdn.net/detail/pomelover/7524227）
放到/usr/lib64/下
#chmod +x libstdc++.so.6.0.20
#rm libstdc++.so.6
#ln -s libstdc++.so.6.0.20 libstdc++.so.6
#strings /usr/lib64/libstdc++.so.6 | grep GLIBCXX
[root@pachong1 lib64]# strings /usr/lib64/libstdc++.so.6 | grep GLIBCXX
GLIBCXX_3.4
GLIBCXX_3.4.1
GLIBCXX_3.4.2
GLIBCXX_3.4.3
GLIBCXX_3.4.4
GLIBCXX_3.4.5
GLIBCXX_3.4.6
GLIBCXX_3.4.7
GLIBCXX_3.4.8
GLIBCXX_3.4.9
GLIBCXX_3.4.10
GLIBCXX_3.4.11
GLIBCXX_3.4.12
GLIBCXX_3.4.13
GLIBCXX_3.4.14
GLIBCXX_3.4.15
GLIBCXX_3.4.16
GLIBCXX_3.4.17
GLIBCXX_3.4.18
GLIBCXX_3.4.19
GLIBCXX_3.4.20
GLIBCXX_FORCE_NEW
GLIBCXX_DEBUG_MESSAGE_LENGTH
终于成功了。
[root@pachong1 lib64]# python
Python 2.7.3 (default, Apr 26 2016, 11:18:30)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-16)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> matrix1 = tf.constant([[3., 3.]])
>>> matrix2 = tf.constant([[2.],[2.]])
>>> product = tf.matmul(matrix1, matrix2)
>>> print product
Tensor("MatMul:0", shape=(1, 1), dtype=float32)
>>> sess = tf.Session()
>>> result = sess.run(product)
>>> print result
[[ 12.]]
>>> sess.close()
>>> exit()
