I'm trying to install Tensorflow on Centos 5. Unfortunatelly, after having installed it with pip as explained in the official doc
sudo pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
I have the following error when I try to import tensorflow on a python shell
ImportError: /home/users/caohao/.jumbo/lib/python2.7/site-packages/tensorflow/python/_pywrap_tensorflow.so: ELF file OS ABI invalid
The following issue on github gave me a lead: https://github.com/tensorflow/tensorflow/issues/350
Actually, tensorflow requires glibc version to be at least 2.17
When I type
ldd --version
I have the following output:
ldd (GNU libc) 2.5
So I need to upgrade glibc. I would like to perform a "parallel" installation, because upgrading glibc could be dangerous for my machine So I downloaded the source, and I use the command
../glibc-2.18/configure --prefix=/opt/glibc-2.18
to install it in an other directory
The problem is that I have the following error when I launch configure
configure: error: assembler too old, .cfi_personality support missing
I think I have to update binutils as well, so I downloaded the sources and install it in /opt/binutils-2.26/ to not harm the system.
Yet I still have the same error when I try to configure glibc.
Here are my questions:
How can I specify which version of binutils I want to use to build glibc ?
EDIT: I should have RTFM, answer is use ‘--with-binutils=directory’ option
How can I make tensorflow looking for the good version of glibc when it will be installed in /opt/glibc-2.18 ?
FYI I use python 2.7.11
Thank you very much and best regards
I have same problem.
But I used CentOS 6.5 and my GLIBC(GNU libc) version is 2.12.
I tried to changed my GLIBC version manually by removing version 2.12 and installing 2.17.
It occured many problems for it's dependencies and cannot import TensorFlow.
So, I used CentOS 7.0 and it has default GLIBC version 2.17.
I can install and run TensorFlow using CentOS 7.0 without any problem.
Thank you.
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