安装Python 3.5。x64位amd版本。确保将Python添加到PATH变量中。然后打开命令提示符并键入

python -m pip install --upgrade pip

应该会给你以下结果:

 Collecting pip
 Using cached pip-9.0.1-py2.py3-none-any.whl
 Installing collected packages: pip
 Found existing installation: pip 7.1.2
 Uninstalling pip-7.1.2:
 Successfully uninstalled pip-7.1.2
 Successfully installed pip-9.0.1

现在式

 pip3 install --upgrade tensorflow

为了解决这个错误，你可能需要先升级pip，然后安装TensorFlow，如下所示

# Requires the latest pip
pip install --upgrade pip

# Current stable release for CPU and GPU
pip install tensorflow

如果你使用蟒蛇提示，那么试试这个

conda install -c anaconda tensorflow-gpu

2.0兼容方案:

在终端(Linux/MacOS)或命令提示符(Windows)中执行以下命令，使用Pip安装Tensorflow 2.0:

#Install tensorflow using pip virtual env 
pip install virtualenv
virtualenv tf_2.0.0   # tf_2.0.0 is virtual env name
source tf_2.0.0/bin/activate
#You should see tf_2.0.0 Env now. Execute the below steps
pip install tensorflow==2.0.0
python
>>import tensorflow as tf
>>tf.__version__
2.0.0

在终端(Linux/MacOS)或命令提示符(Windows)中执行以下命令，使用Bazel安装Tensorflow 2.0:

git clone https://github.com/tensorflow/tensorflow.git
cd tensorflow

#The repo defaults to the master development branch. You can also checkout a release branch to build:
git checkout r2.0

#Configure the Build => Use the Below line for Windows Machine
python ./configure.py 

#Configure the Build => Use the Below line for Linux/MacOS Machine
./configure
#This script prompts you for the location of TensorFlow dependencies and asks for additional build configuration options. 

#Build Tensorflow package

#CPU support
bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package 

#GPU support
bazel build --config=opt --config=cuda --define=no_tensorflow_py_deps=true //tensorflow/tools/pip_package:build_pip_package

来自tensorflow网站:“你需要pip 8.1或更高版本才能运行以下命令”。运行这个命令来升级你的pip，然后尝试再次安装tensorflow:

pip install --upgrade pip

你可以试试这个

pip install --upgrade tensorflow

我也有这个问题。当查看不同的.whl文件时。我注意到在python 3.7中没有32位版本的tensorflow。最后只能从这里安装64位Python 3.7。