对于窗户，这个方法对我很有效，

从这个链接下载车轮。然后从命令行导航到车轮所在的下载文件夹，只需键入以下命令-

PIP安装tensorflow-1.0.0-cp36-cp36m-win_amd64.whl

登录https://pypi.python.org/pypi/tensorflow查看哪些软件包可用。

在撰写本文时，他们还没有提供源包，因此如果没有为您的平台预先构建的源包，则会出现此错误。如果向pip命令行添加-v，您将看到它遍历PyPI上可用的包，并因不兼容而丢弃它们。

你需要在其他地方找到一个预先构建的包，或者根据https://www.tensorflow.org/install/install_sources上的说明从它的源代码编译tensorflow。

他们有充分的理由不为某些平台开发:

缺少一个win32包，因为TensorFlow的依赖项Bazel只支持win64。 对于win64，只支持3.5+，因为早期版本是用不支持c++ 11的编译器编译的。

你可以试试这个

pip install --upgrade tensorflow

我在conda上安装了tensorflow，但似乎在windows上不起作用，但最终这个命令在cmd上可以正常工作。

 python.exe -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.0-py3-none-any.whl

我在OSX Sierra 10.12.2上遇到了这个问题。原来我安装的Python版本是错误的(我安装的是Python 3.4，但OSX的tensorflow pypi包只适用于Python 3.5及以上版本)。

解决方案是安装Python 3.6。下面是我让它工作的方法。注意:我使用Homebrew来安装Python 3.6，你也可以使用python.org上的Python 3.6安装程序来安装

brew uninstall python3
brew install python3
python3 --version # Verify that you see "Python 3.6.0"
pip install tensorflow # With python 3.6 the install succeeds
pip install jupyter # "ipython notebook" didn't work for me until I installed jupyter
ipython notebook # Finally works!

我的环境:Win 10, python 3.6

pip3 install --upgrade tensorflow
pip install --upgrade tensorflow

错误:

> Collecting tensorflow Could not find a version that satisfies the
> requirement tensorflow (from versions: ) No matching distribution
> found for tensorflow

我还尝试了pip install tensorflow和pip install tensorflow-gpu。 但错误:

> Could not find a version that satisfies the requirement tensorflow (from versions: ) No matching distribution found for tensorflow
> Could not find a version that satisfies the requirement tensorflow-gpu (from versions: ) No matching distribution found for tensorflow-gpu

使用Step (https://www.tensorflow.org/install/install_windows)尝试安装OK

Follow the instructions on the Anaconda download site to download and install Anaconda. https://www.continuum.io/downloads Create a conda environment named tensorflow by invoking the following command: C:> conda create -n tensorflow pip python=3.5 Activate the conda environment by issuing the following command: C:> activate tensorflow (tensorflow)C:> # Your prompt should change Issue the appropriate command to install TensorFlow inside your conda environment. To install the CPU-only version of TensorFlow, enter the following command: (tensorflow)C:> pip install --ignore-installed --upgrade tensorflow To install the GPU version of TensorFlow, enter the following command (on a single line): (tensorflow)C:> pip install --ignore-installed --upgrade tensorflow-gpu