Ubuntu16.04使用Anaconda安装tensorflow-CPU

1.安装Anaconda3

wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda3-4.2.0-Linux-x86_64.sh
bash Anaconda3-4.2.0-Linux-x86_64.sh

接着就要激活环境，export PATH=/root/anaconda3/bin:$PATH,让环境变量生效

2.安装tensorflow

conda create -n tensorflow3.5 pip python=3.5
source activate tensorflow3.5
pip install --ignore-installed --upgrade https://mirrors.tuna.tsinghua.edu.cn/tensorflow/linux/cpu/tensorflow-1.7.0-cp35-cp35m-linux_x86_64.whl

退出环境是

source deactivate

安装的时候遇到问题1：

Command “python setup.py egg_info” failed with error code 1 in /tmp/pip-build-g3ii_1q2/futures/

解决方法：

pip install --upgrade pip

重新运行上面的pip install --igo…
成功安装

安装的时候遇到问题2：

AttributeError: module ‘numpy’ has no attribute ‘equal’

解决方法：

pip install -U numpy
pip show numpy

安装出现问题3

FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is deprecate

解决方法：

numpy版本过高，给numpy降级，问题解决

pip install numpy==1.14.0

参照https://blog.csdn.net/bigdream123/article/details/99467316

3.测试

自己会装好，然后测试一下

//输入python进入，然后输入一下代码
import tensorflow as tf
hello=tf.constant('hello')
sess=tf.Session()
print(sess.run(hello))

遇见问题：

I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

解决方案

1.掩耳盗铃式

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

参照https://blog.csdn.net/feng98ren/article/details/84874326

2.彻底解决
1.13.1版本支持AVX2

pip install --ignore-installed --upgrade https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.13.1-ubuntu16.04-py3/tensorflow-1.13.1-cp35-cp35m-linux_x86_64.whl

将tensorflow导入到pycharm

https://blog.csdn.net/qq_36982160/article/details/79603927