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tensorflow csdn

  • 作者: 丨宿命丶
  • 来源: 51数据库
  • 2020-10-05
安装e79fa5e98193e78988e69d8331333363363562tensorflow

pip install --upgrade https://storage.googleapis.com/tensorflow/Linux/cpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl

错误:oserror no such file or directory site-packages/setuptools-21.0.0-py2.7.egg
解决:pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl
--ignore-installed

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。
安装新版glibc
1.glibc下载
从http://www.gnu.org/software/libc/ 下载源代码。我下载的版本是2.20,链接地址是http://ftp.gnu.org/gnu/glibc/glibc-2.20.tar.gz

2.安装
因为glibc库使用广泛,为了避免污染当前系统环境,最好自定义安装目录,使用时定义一下环境变量就行了。具体步骤如下:

我使用的法(直接升级glibc):

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

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)

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
#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

>>> 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

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

ImportError: cannot import name pywrap_tensorflow

edit: The real fix for me was to updated setuptools to the latest and it allowed me to upgrade mock and six to the latest. I was on setuptools 3.3. In my case I also had to remove said modules by hand because they were owned by OS in '/usr/local/lib/python2.7/dist-packages/'
check versions of everything

pip freeze | grep -e six -e mock
easy_install --version
Update everything

wget https://bootstrap.pypa.io/ez_setup.py -O - | sudo python
pip install mock --upgrade
pip install six --upgrade

终于成功了。
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> sess.run(hello)
Hello, TensorFlow!
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> sess.run(a+b)
42
>>>

>>> print product
Tensor("MatMul:0", shape=(1, 1), dtype=float32)
>>> sess = tf.Session()
>>> result = sess.run(product)
>>> print result
[[ 12.]]
>>> sess.close()
>>> exit()



  虽然我很聪明,但这么说真的难到我了
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