Setting up Tensorflow in the windows environment is really a laborious thing, because I installed the python2.7 environment locally, and then installing python3 will have some troubles in the environment configuration. It is better to simply install a virtual machine locally. , the following is a set of processes to build a Tensorflow environment on a virtual machine.
- System version: CentOS6.9
- python version: python 3.5.2
- tensorflow version: 1.3.0
In the end, due to various reasons, I gave up using CentOS6.9 to install tensorflow. The reason is that the native GLIBC2.12 version of the system is too low, and upgrading GLIBC is very pitiful, which once caused my linux to fail to boot :-( So I gave up.
But fortunately this time I chose the latest ubuntu17.1 as the system, this time it went smoothly, the process is roughly as follows:
- Install ubuntu17.1, which may include some VMware tools installation and other operations.