参考 https://blog.csdn.net/sylsjane/article/details/80871736

 

安装tensorflow

 1.在开始菜单中找到Anaconda Prompt,双击运行

 

2.输入清华的仓库镜像(更新包更快):

# 添加新镜像源
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
# 设置搜索时显示通道地址
conda config --set show_channel_urls yes

3. 更新conda

输入指令: conda update conda

4. 创建一个python3.6的环境，环境名称为tensorflow

输入指令: conda create –n tensorflow python=3.6

这时候就创建了一个tensorflow 环境  

5. 启动tensorflow环境

输入指令:  activate tensorflow 

 

6.安装cpu版本的tensorFlow (在刚刚安装好的tensorflow environment 下安装)

输入指令:  pip install --ignore-installed --upgrade tensorflow

出现错误,然后根据红字的提示 pip 安装一下 ,有一些model 需要 依赖库 .

Successfully built gast absl-py termcolor
twisted 18.7.0 requires PyHamcrest>=1.9.0, which is not installed.
spyder-kernels 0.2.4 requires ipykernel, which is not installed.
notebook 5.6.0 requires ipykernel, which is not installed.
jupyter 1.0.0 requires ipykernel, which is not installed.
jupyter-console 5.2.0 requires ipykernel, which is not installed.
ipywidgets 7.1.1 requires ipykernel>=4.5.1, which is not installed.
Installing collected packages: numpy, six, keras-preprocessing, pbr, mock, absl-py, tensorflow-estimator, wheel, grpcio, werkzeug, setuptools, markdown, protobuf, tensorboard, gast, termcolor, h5py, keras-applications, astor, tensorflow
Successfully installed absl-py-0.7.1 astor-0.7.1 gast-0.2.2 grpcio-1.20.0 h5py-2.9.0 keras-applications-1.0.7 keras-preprocessing-1.0.9 markdown-3.1 mock-2.0.0 numpy-1.16.3 pbr-5.1.3 protobuf-3.7.1 setuptools-41.0.0 six-1.12.0 tensorboard-1.13.1 tensorflow-1.13.1 tensorflow-estimator-1.13.0 termcolor-1.1.0 werkzeug-0.15.2 wheel-0.33.1
You are using pip version 10.0.1, however version 19.0.3 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.

红字部分是没下载成功 , 可以手动下载, 先下载 ipykernel   ,PyHamcrest 然后在其他的

比如

pip install PyHamcrest

pip install ipykernel

我遇到的问题是 : 我之前就用 pip 下载了numpy , 这里在安装TensorFlow 时候还会再下一个,这样就会导致 不能

import tensorflow  as 

import numpy as np 

导入model 出错 

ImportError: Something is wrong with the numpy installation. 
While importing we detected an older version of numpy in ['/home/ubuntu/.local/lib/python3.5/site-packages/numpy']. 
One method of fixing this is to repeatedly uninstall numpy until none is found,
 then reinstall this version

解决方法：翻译了照做即可，“ImportError：numpy安装有问题。 导入时我们在['/home/ubuntu/.local/lib/python3.5/site-packages/numpy']中检测到了旧版本的numpy。 解决此问题的一种方法是重复卸载numpy，直到找不到，然后重新安装此版本”，pip3 uninstall 多次直到提示No modules 再安装。
 

如果没有错误就不用 8,9步

7.安装过程报如下红色提示的错误,则需要安装msgpack

8.安装msgpack

输入指令: pip install msgpack

安装msglpack过程中如果出现如下红色提示错误,则需要安装新版本的tensorboard

9.安装tensorboard (红字没显示就不用下载)

输入指令: pip install tensorboard

12. 测试tensorflow

输入指令: python,会提示当前python版本

测试

import numpy as np 
import tensorflow as tf 

a = tf.constant(5.0)
b = tf.constant(6.0) 
sum = tf.add(a,b) 
print(sum)

with tf.Session() as sess :
    ans = sess.run(sum)
    print(ans )