安装 Tensorflow - 不支持的轮子 [英] Installing Tensorflow - not supported wheel

问题描述

我已经安装了 Python 3.5 和 3.6 版以及 anaconda.

I have installed Python version 3.5 and 3.6 and anaconda.

尝试按照此处的步骤安装 tensorflow 时出现以下错误https://www.tensorflow.org/install/install_windows不唱歌的蟒蛇

The following error occures when trying to install tensorflow following the steps here https://www.tensorflow.org/install/install_windows unsing anaconda

(tensorflow) C:> pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.1-cp35-cp35m-win_amd64.whl

(tensorflow) C:> pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.1-cp35-cp35m-win_amd64.whl

tensorflow-1.0.1-cp35-cp35m-win_amd64.whl 在此平台上不受支持.

tensorflow-1.0.1-cp35-cp35m-win_amd64.whl is not a supported wheel on this platform.

由于我是 Python 新手，我不知道如何绕过这个问题.我使用的是 64 位的 Win10.

As I am new to Python, I do not know how to circumvent this probelm. I am using Win10 with 64bit.

非常感谢，最好，

马丁

推荐答案

我遇到了同样的问题和同样的错误.似乎没有立即支持 Python 3.6 并找到了一种解决方法 here(请注意，这涉及安装我尚未安装的 Python 3.5，如果已经安装，我不知道是否应该以不同的方式完成):

I ran into the same difficulties with the same error. It seems to be that Python 3.6 isn't immediately supported and found a sort of workaround here (note that this involves installing Python 3.5 which I did not already have installed, I don't know if this should be done a different way if its already installed):

如果您使用的是 anaconda 发行版，您可以执行以下操作以在新环境tensorflow"上使用 python 3.5:

If you are using anaconda distribution, you can do the following to use python 3.5 on the new environment "tensorflow":

conda create --name tensorflow python=3.5
activate tensorflow
conda install jupyter
conda install scipy
pip install tensorflow
\# or
\# pip install tensorflow-gpu

在第一行末尾添加 python=3.5 很重要，因为它会安装 Python 3.5.

It is important to add python=3.5 at the end of the first line, because it will install Python 3.5.

如果您已经创建了 tensorflow 环境(conda create 步骤)，则必须将其删除并重新开始.否则，您将遇到错误CondaValueError: Value error: prefix already exists: C:\[your environment location]"(如果您遇到不受支持的轮子错误，那么您可能已经创建了环境.)

If you've already created the tensorflow environment (the conda create step), you'll have to delete it and start over. Otherwise, you'll run into an error "CondaValueError: Value error: prefix already exists: C:\[your environment location]" (If you run into the unsupported wheel error, then you probably created the environment already.)

根据Conda Cheat Sheet删除你之前的环境，如果需要，首先通过调用 deactivate 从 (tensor flow) 停用，然后调用 conda remove --prefix ~/bioenvcopy --all.对于 ~/bioenvcopy 我相信你使用 tensorflow 环境路径.可以通过调用 conda info --envs(再次引用备忘单)找到该位置.例如，我的是 conda remove --prefix ~/Anaconda3/envs/tensorflow

To delete your previous environment, according to the Conda Cheat Sheet, you first deactivate from (tensor flow) if needed by calling deactivate, then call conda remove --prefix ~/bioenvcopy --all. For ~/bioenvcopy I believe you use the tensorflow environment path. The location can be found by calling conda info --envs (citing the cheat sheet once again). Mine, for example, was conda remove --prefix ~/Anaconda3/envs/tensorflow

我成功地在 Windows 10 上使用了这项工作.

I successfully used this work around on Windows 10.

当支持 3.6 时，此解决方案可能已过时.

This solution probably be obsolete when 3.6 is supported.

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