使用管理权限启动命令提示符 输入以下命令python -m pip install——upgrade pip 接下来输入命令pip install tensorflow

试试这个:

export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.1-py3-none-any.whl
pip3 install --upgrade $TF_BINARY_URL

来源:https://www.tensorflow.org/get_started/os_setup(页面已不存在)

更新2/23/17 文档移至:https://www.tensorflow.org/install

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

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!

摘自tensorflow网站 https://www.tensorflow.org/install/install_windows

Installing with native pip If the following version of Python is not installed on your machine, install it now: Python 3.5.x from python.org TensorFlow only supports version 3.5.x of Python on Windows. Note that Python 3.5.x comes with the pip3 package manager, which is the program you'll use to install TensorFlow. To install TensorFlow, start a terminal. Then issue the appropriate pip3 install command in that terminal. To install the CPU-only version of TensorFlow, enter the following command:

C:\> pip3 install --upgrade tensorflow
To install the GPU version of TensorFlow, enter the following command:

C:\> pip3 install --upgrade tensorflow-gpu

2019年更新: 为了在谷歌Colab中安装TensorFlow 2预览版，您可以使用:

!wget https://developer.nvidia.com/compute/cuda/10.0/Prod/local_installers/cuda-repo-ubuntu1604-10-0-local-10.0.130-410.48_1.0-1_amd64 -O cuda-repo-ubuntu1604-10-0-local-10.0.130-410.48_1.0-1_amd64.deb
!dpkg -i cuda-repo-ubuntu1604-10-0-local-10.0.130-410.48_1.0-1_amd64.deb
!apt-key add /var/cuda-repo-10-0-local-10.0.130-410.48/7fa2af80.pub
!apt-get update
!apt-get install cuda
!pip install tf-nightly-gpu-2.0-preview

为了安装TensorFlow 2 bye pip，你可以使用: 为GPU安装tf-night - GPU -2.0-preview PIP安装tf-night -2.0-preview CPU。