避坑必读，强烈建议：

1.说明你电脑支持AVX2,而你的tesorflow版本不支持，重建虚拟环境重装tensorflow
2.离线安装tensorflow，下载安装包之后再安装
3.如果遇到新问题，请认真看提示，不要乱百度！！！

这几步需要前提准备：

准备1：下载安装Anaconda3

访问清华镜像下载：https://mirrors.tuna.tsinghua.edu.cn/
安装时，全程点击"下一步"，完成即可
注：也可以参考其他任何教程，假设安装路径为 G:\Anaconda3
注：本节使用Anaconda3-5.1.0-Windows-x86_64.exe（对应我电脑系统win10-(64位)版）

准备2：创建虚拟环境tf1

使用管理员身份打开Anaconda Prompt，创建虚拟环境tf1（注意本次python版本3.6.0，tf1可以自行定义）
conda create --name tf1 python=3.6.0

安装Tensorflow正式开始

1.访问这个镜像网址下载tensorflow
https://gitcode.net/mirrors/fo40225/tensorflow-windows-wheel/
根据需求下载，本节测试对应python6.3.0的版本tensorflow-1.4.0-cp36-cp36m-win_amd64.whl
2. 在Anaconda中创建文件夹存放
G:\Anaconda3\Lib\tensor（Lib下的路径自己创建），将下载文件复制拷贝到该文件中
3.切换到虚拟环境tf1
管理员身份打开Anaconda Prompt，切换到对应的虚拟环境tf1下：
env list #查看虚拟环境
conda activate tf1
4.跳转目录
跳转到G:\Anaconda3\Lib\tensor 目录中
G: （回车）
cd Anaconda3\Lib\tensor\
5.安装离线的ensorflow
在tf1环境下，安装离线的文件
pip install tensorflow-1.4.0-cp36-cp36m-win_amd64.whl
6. 在tf1环境下测试通过python导入tensorflow
在Anaconda Prompt中 tf1虚拟环境下执行：
python （回车）
import tensorflow as tf #导入tensorflow
print(tf.version) #打印tensorflow 版本
print( tf.path ) #打印tensorflow 路径
7.安装jupyter notebook
（推荐使用）conda install jupyter notebook
8.在tf1环境下安装ipykernel
jupyter kernelspec list #查看tf1环境下jupyter所有可用的 kernels
upyter kernelspec remove 名称（名称为你想删除的现有名称）
pip install ipykernel
python -m ipykernel install --name tf1
9. 在tf1环境下测试通过jupyter notebook导入tensorflow
jupyter notebook
网页自动打开后，New–>ft1，然后写入程序
import tensorflow as tf
print(tf.version)
print( tf.path )

遇到其他问题解决办法

【1】如果出现：ImportError: cannot import name ‘AsyncGenerator’,
请关闭所有juppyter notebook和窗口重新打开，然后激活tf1的环境 ,再执行：
python -m ipykernel install --name tf1
【2】如果需要使用：matplotlib，请独立安装下载好的安装包
**下载后安装：matplotlib-2.2.5-cp36-cp36m-win_amd64.whl
cp36代表的是python的版本，如python3.6.0就是cp36
win_amd64指的是windows系统（64位）
选择自己对应的matplotlib（其他模块也一样），下载到scripts目录下。
打开cmd，输入cd ×××/×××/×××/scripts（你的scripts路径）
然后用pip下载whl文件，
pip install matplotlib-2.2.5-cp36-cp36m-win_amd64.whl
因为，你按照上述方法安装完后请看一下自己的numpy版本=1.19.5
如果直接使用pip install matplotlib指令，会下载其他支持库，其中有一个为numpy=1.13.1，这样就会出错。所以还是先下载好独立安装包，然后再pip安装。
但是这样，导入时还会出现一个新错误
‘version_info’ object has no attribute ‘version’
不要怕
打开以下文件：G:\Anaconda3\envs\tf1\Lib\site-packages\pyparsing，下的__init__.py文件
init.py 对应位置（这一段）

class version_info(NamedTuple):major: intminor: intmicro: intreleaselevel: strserial: int@propertydef __version__(self):return "{}.{}.{}".format(self.major, self.minor, self.micro) + ("{}{}{}".format("r" if self.releaselevel[0] == "c" else "",self.releaselevel[0],self.serial,),"",)[self.releaselevel == "final"]def __str__(self):return "{} {} / {}".format(__name__, self.__version__, __version_time__)def __repr__(self):return "{}.{}({})".format(__name__,type(self).__name__,", ".join("{}={!r}".format(*nv) for nv in zip(self._fields, self)),)

init.py 修改后

def __init__(self,major:int,minor:int,micro:int,releaselevel:str,serial:int):   self.major = majorself.minor = minorself.micro = microself.releaselevel = releaselevelself.serial = serial
@property
def __version__(self):return "{}.{}.{}".format(self.major, self.minor, self.micro) + ("{}{}{}".format("r" if self.releaselevel[0] == "c" else "",self.releaselevel[0],self.serial,),"",)[self.releaselevel == "final"]
def __str__(self):return "{} {} / {}".format(__name__, self.__version__, __version_time__)
def __repr__(self):return "{}.{}({})".format(__name__,type(self).__name__,", ".join("{}={!r}".format(*nv) for nv in zip(self._fields, self)),)

写在最后

如果有时间可以看看，python与tensorflow对应的版本
https://gitcode.net/mirrors/fo40225/tensorflow-windows-wheel/#tensorflow-windows-wheel

如果还是有其他问题，请耐心看错误提示。实在解决不了，就请留言吧，我们一起解决。

安装完后

(tf1) C:\Users\Administrator>conda list

packages in environment at G:\Anaconda3\envs\tf1:

Name Version Build Channel

bleach 1.5.0 pypi_0 pypi
certifi 2016.2.28 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
colorama 0.3.9 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
dataclasses 0.8 pypi_0 pypi
decorator 4.1.2 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
entrypoints 0.2.3 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
enum34 1.1.10 pypi_0 pypi
html5lib 0.9999999 pypi_0 pypi
icu 57.1 vc14_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
importlib-metadata 4.8.3 pypi_0 pypi
ipykernel 4.6.1 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
ipython 6.1.0 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
ipython_genutils 0.2.0 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
ipywidgets 6.0.0 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
jedi 0.10.2 py36_2 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
jinja2 2.9.6 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
jpeg 9b vc14_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
jsonschema 2.6.0 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
jupyter 1.0.0 py36_3 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
jupyter_client 5.1.0 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
jupyter_console 5.2.0 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
jupyter_core 4.3.0 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
libpng 1.6.30 vc14_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
markdown 3.3.7 pypi_0 pypi
markupsafe 1.0 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
mistune 0.7.4 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
nbconvert 5.2.1 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
nbformat 4.4.0 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
notebook 5.0.0 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
numpy 1.19.5 pypi_0 pypi
openssl 1.0.2l vc14_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
pandocfilters 1.4.2 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
path.py 10.3.1 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
pickleshare 0.7.4 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
pip 9.0.1 py36_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
prompt_toolkit 1.0.15 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
protobuf 3.19.6 pypi_0 pypi
pygments 2.2.0 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
pyqt 5.6.0 py36_2 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
python 3.6.0 0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
python-dateutil 2.6.1 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
pyzmq 16.0.2 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
qt 5.6.2 vc14_6 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
qtconsole 4.3.1 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
setuptools 36.4.0 py36_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
simplegeneric 0.8.1 py36_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
sip 4.18 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
six 1.16.0 pypi_0 pypi
tensorflow 1.4.0 pypi_0 pypi
tensorflow-tensorboard 0.4.0 pypi_0 pypi
testpath 0.3.1 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
tornado 4.5.2 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
traitlets 4.3.2 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
typing-extensions 4.1.1 pypi_0 pypi
vc 14 0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
vs2015_runtime 14.0.25420 0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
wcwidth 0.1.7 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
werkzeug 2.0.3 pypi_0 pypi
wheel 0.29.0 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
widgetsnbextension 3.0.2 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
wincertstore 0.2 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
zipp 3.6.0 pypi_0 pypi
zlib 1.2.11 vc14_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free

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避坑必读，强烈建议：

这几步需要前提准备：

准备1：下载安装Anaconda3

准备2：创建虚拟环境tf1