blocks|key|1618059|text|我也有同样的问题。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1618060|我从https://bootstrap.pypa.io/get-pip.py下载了https://bootstrap.pypa.io/get-pip.py，然后运行python2.7+get-pip.py来安装pip2.7。|offset|length|style|CODE|1618061|然后使用pip+install运行python2.7命令，如下所示。|1618062|Ubuntu/Linux的：|BOLD|1618063|python2.7+-m+pip+install+https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl|code-block|syntax|javascript|1618064|For+Mac：|1618065|python2.7+-m+pip+install+https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl|1618066|这应该和我做的一样好:)|1618067|我遵循了这里的这些指示。|1618068|entityMap|0|LINK|mutability|MUTABLE|url|https://bootstrap.pypa.io/get-pip.py|1|2|https://askubuntu.com/questions/695981/platform-not-supported-for-tensorflow-on-ubuntu-14-04-2^0|0|2A|K|2X|6|2|10|0|15|10|1|0|4|B|H|9|0|D|1|0|0|0|8|0|0|0|4|2|2|0^^$0|@$1|2|3|4|5|6|7|1A|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1B|8|@$D|1C|E|1D|F|G]|$D|1E|E|1F|F|G]]|9|@$D|1G|E|1H|1|1I]|$D|1J|E|1K|1|1L]]|A|$]]|$1|H|3|I|5|6|7|1M|8|@$D|1N|E|1O|F|G]|$D|1P|E|1Q|F|G]]|9|@]|A|$]]|$1|J|3|K|5|6|7|1R|8|@$D|1S|E|1T|F|L]]|9|@]|A|$]]|$1|M|3|N|5|O|7|1U|8|@]|9|@]|A|$P|Q]]|$1|R|3|S|5|6|7|1V|8|@$D|1W|E|1X|F|L]]|9|@]|A|$]]|$1|T|3|U|5|O|7|1Y|8|@]|9|@]|A|$P|Q]]|$1|V|3|W|5|6|7|1Z|8|@]|9|@]|A|$]]|$1|X|3|Y|5|6|7|20|8|@]|9|@$D|21|E|22|1|23]]|A|$]]|$1|Z|3|-4|5|6|7|24|8|@]|9|@]|A|$]]]|10|$11|$5|12|13|14|A|$15|16]]|17|$5|12|13|14|A|$15|16]]|18|$5|12|13|14|A|$15|19]]]]

I too got the same problem.
I downloaded <code>get-pip.py</code> from <a href="https://bootstrap.pypa.io/get-pip.py" rel="nofollow noreferrer">https://bootstrap.pypa.io/get-pip.py</a> and then ran <code>python2.7 get-pip.py</code> for installing <code>pip2.7</code>.
And then ran the <code>pip install</code> command with <code>python2.7</code> as follows.
For Ubuntu/Linux:
<pre class="lang-none prettyprint-override"><code>python2.7 -m pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
</code></pre>
For Mac OS X:
<pre class="lang-none prettyprint-override"><code>python2.7 -m pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl
</code></pre>
This should work just fine as it did for me :)
I followed these instructions from <a href="https://askubuntu.com/questions/695981/platform-not-supported-for-tensorflow-on-ubuntu-14-04-2">here</a>.

blocks|key|2173278|text|激活virtualenv之后，请确保将pip升级到最新版本。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2173279|(your_virtual_env)$++pip+install+--upgrade+pip|code-block|syntax|javascript|2173280|现在您将能够正确地安装TensorFlow+(对于Linux)：|2173281|(your_virtual_env)$++pip+install+--upgrade+https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.7.0-py2-none-linux_x86_64.whl|2173282|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|N|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

After activating the virtualenv, be sure to upgrade pip to the latest version.
<pre><code>(your_virtual_env)$ pip install --upgrade pip
</code></pre>
And now you'll be able to install TensorFlow correctly (for Linux):
<pre><code>(your_virtual_env)$ pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.7.0-py2-none-linux_x86_64.whl
</code></pre>

blocks|key|1618125|text|pip轮毂文件以其名称(cp34-cp34m)包含Python版本。如果您下载了.whl文件并将其重命名为py3-no，或者相反，它应该可以工作。你能试试吗？|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|1618126|安装不适用于选择Pythoncp3支持的蟒蛇用户，因为安装过程要求创建Python3.5环境，该文件目前名为cp34-cp34m。所以现在重命名它就可以完成任务了。|1618127|sudo+pip3+install+--upgrade+https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.7.0-cp34-cp34m-linux_x86_64.whl|code-block|syntax|javascript|1618128|这将产生上面得到的准确的错误消息。但是，当您自己下载该文件并将其重命名为“tensorflow-0.7.0-py3-no-linux_x86_64.whl”时，再次使用更改的文件名执行命令时，它应该可以正常工作。|1618129|entityMap|0|LINK|mutability|MUTABLE|url|https://en.wikipedia.org/wiki/Anaconda_(Python_distribution)^0|1H|6|0|K|2|0|0|0|0^^$0|@$1|2|3|4|5|6|7|W|8|@$9|X|A|Y|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|Z|8|@]|D|@$9|10|A|11|1|12]]|E|$]]|$1|H|3|I|5|J|7|13|8|@]|D|@]|E|$K|L]]|$1|M|3|N|5|6|7|14|8|@]|D|@]|E|$]]|$1|O|3|-4|5|6|7|15|8|@]|D|@]|E|$]]]|P|$Q|$5|R|S|T|E|$U|V]]]]

The pip wheel file contains the Python version in its name (cp34-cp34m). If you download the .whl file and rename it to say py3-none or instead, it should work. Can you try that?
The installation won't work for <a href="https://en.wikipedia.org/wiki/Anaconda_(Python_distribution)" rel="nofollow noreferrer">Anaconda</a> users that choose Python 3 support, because the installation procedure is asking to create a Python 3.5 environment and the file is currently called cp34-cp34m. So renaming it would do the job for now.
<pre><code>sudo pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.7.0-cp34-cp34m-linux_x86_64.whl
</code></pre>
This will produce the exact error message you got above. However, when you will download the file yourself and rename it to &quot;tensorflow-0.7.0-py3-none-linux_x86_64.whl&quot;, then execute the command again with the changed filename, it should work fine.

blocks|key|2173361|text|我试图做基于Windows的安装，并不断得到这个错误。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2173362|事实证明，必须要有Python3.5.2。不是2.7，不是3.6.x-只有3.5.2。|offset|length|style|BOLD|2173363|安装Python3.5.2之后，pip+install工作正常。|CODE|2173364|entityMap^0|0|5|3|0|G|B|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|N|8|@$D|O|E|P|F|G]]|9|@]|A|$]]|$1|H|3|I|5|6|7|Q|8|@$D|R|E|S|F|J]]|9|@]|A|$]]|$1|K|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|L|$]]

I was trying to do the Windows-based install and kept getting this error.
It turns out you have to have Python 3.5.2. Not 2.7, not 3.6.x-- nothing other than 3.5.2.
After installing Python 3.5.2, the <code>pip install</code> worked.

blocks|key|2173415|text|目前看来，TensorFlow只在Python3.5上工作。在运行pip安装之前尝试运行以下命令|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|2173416|conda+create+--name+tensorflow+python=3.5|code-block|syntax|javascript|2173417|在此之后，运行以下行：|2173418|用于CPU|2173419|pip+install+--ignore-installed+--upgrade+https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.1.0-cp35-cp35m-win_amd64.whl|2173420|适用于GPU|2173421|pip+install+--ignore-installed+--upgrade+https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.1.0-cp35-cp35m-win_amd64.whl|2173422|它应该像魅力一样运作。|2173423|entityMap^0|X|5|0|0|0|2|3|0|0|3|3|0|0|0^^$0|@$1|2|3|4|5|6|7|Y|8|@$9|Z|A|10|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|11|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|12|8|@]|D|@]|E|$]]|$1|M|3|N|5|6|7|13|8|@$9|14|A|15|B|C]]|D|@]|E|$]]|$1|O|3|P|5|H|7|16|8|@]|D|@]|E|$I|J]]|$1|Q|3|R|5|6|7|17|8|@$9|18|A|19|B|C]]|D|@]|E|$]]|$1|S|3|T|5|H|7|1A|8|@]|D|@]|E|$I|J]]|$1|U|3|V|5|6|7|1B|8|@]|D|@]|E|$]]|$1|W|3|-4|5|6|7|1C|8|@]|D|@]|E|$]]]|X|$]]

It seems that TensorFlow only works on Python 3.5 at the moment. Try to run this command before running the pip install
<pre class="lang-none prettyprint-override"><code>conda create --name tensorflow python=3.5
</code></pre>
After this, run the following lines:
For CPU:
<pre class="lang-none prettyprint-override"><code>pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.1.0-cp35-cp35m-win_amd64.whl
</code></pre>
For GPU:
<pre class="lang-none prettyprint-override"><code>pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.1.0-cp35-cp35m-win_amd64.whl
</code></pre>
It should work like a charm.

blocks|key|1013050|text|实际上，您可以使用Python3.5.*。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1013051|我用Python3.5.3成功地解决了这个问题。在康达中将Python版本修改为3.5.*。见https://conda.io/docs/py2or3.html。|offset|length|1013052|然后转到视窗，并从“通过调用以下命令创建名为tensorflow的Conda环境”中重复bla，bla.|1013053|entityMap|0|LINK|mutability|MUTABLE|url|https://en.wikipedia.org/wiki/Conda_(package_manager))|1|https://conda.io/docs/py2or3.html|2|https://www.tensorflow.org/install/install_windows^0|0|P|2|0|1B|X|1|0|4|2|2|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|U|8|@]|9|@$D|V|E|W|1|X]|$D|Y|E|Z|1|10]]|A|$]]|$1|F|3|G|5|6|7|11|8|@]|9|@$D|12|E|13|1|14]]|A|$]]|$1|H|3|-4|5|6|7|15|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|O]]|P|$5|K|L|M|A|$N|Q]]|R|$5|K|L|M|A|$N|S]]]]

Actually, you can use Python 3.5.*.
I successfully solved this problem with Python 3.5.3. Modify the Python version to 3.5.* in <a href="https://en.wikipedia.org/wiki/Conda_(package_manager)" rel="nofollow noreferrer">Conda</a>. See <a href="https://conda.io/docs/py2or3.html" rel="nofollow noreferrer">Managing Python</a>.
Then go to <a href="https://www.tensorflow.org/install/install_windows" rel="nofollow noreferrer">https://www.tensorflow.org/install/install_windows</a>, and repeat from &quot;Create a Conda environment named tensorflow by invoking the following command&quot; bla, bla...

blocks|key|1618322|text|确保轮子是由你的平台支撑的。Pip使用车轮的文件名来确定兼容性。格式如下：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1618323|tensorflow-{version}-{python+version}-none-{your+platform}.whl|code-block|syntax|javascript|1618324|我没有意识到x86_64指的是x64，我以为它的意思不是x86，就是x64，所以我把头撞到这个没用的地方有一段时间了。TensorFlow对于32位系统是不可用的，除非您想自己编译它.|offset|length|style|CODE|1618325|entityMap^0|0|0|6|6|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Q|8|@$I|R|J|S|K|L]]|9|@]|A|$]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

Make sure that the wheel is, well, supported by your platform. Pip uses the wheel's filename to determine compatibility. The format is:
<pre><code>tensorflow-{version}-{python version}-none-{your platform}.whl
</code></pre>
I didn't realize that <code>x86_64</code> refers to x64, I thought it meant either x86 or x64, so I banged my head against this futilely for some time. TensorFlow is not available for 32-bit systems, unless you want to compile it yourself.

blocks|key|2173517|text|在Windows+10上，使用Python3.6.X版本，我也面临着同样的问题。然后，在仔细检查之后，我注意到我在64位机器上安装了Python-32位。请记住，TensorFlow只与64位安装的Python兼容。而不是32位Python|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|2173518|​|2173519|📷|atomic|2173520|2173521|如果我们从python.org下载Python，默认安装将是32位。因此，我们必须手动下载64位安装程序来安装Python+64位。然后添加|2173522|C:\Users\AppData\Local\Programs\Python\Python36|ordered-list-item|2173523|C:\Users\AppData\Local\Programs\Python\Python36\Scripts|2173524|然后在命令提示符上运行gpupdate+/Force。如果Python命令不工作64位，请重新启动计算机。|CODE|2173525|然后在命令提示符上运行Python解释器。它应该显示64位|2173526|python

Python+3.6.3+(v3.6.3:2c5fed8,+Oct++3+2017,+18:11:49)+[MSC+v.1900+64+bit+(AMD64)]+on+win32
Type+"help",+"copyright",+"credits"+or+"license"+for+more+information.|code-block|syntax|javascript|2173527|然后运行下面的命令来安装TensorFlow+CPU版本(推荐)|2173528|pip3+install+--upgrade+tensorflow|2173529|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/6acefd87e3e89e4f6e0f19a325a19548.jpg|imageAlt^0|30|C|0|0|0|1|0|0|0|0|0|0|B|F|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|1F|8|@$9|1G|A|1H|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|1I|8|@]|D|@]|E|$]]|$1|H|3|I|5|J|7|1J|8|@]|D|@$9|1K|A|1L|1|1M]]|E|$]]|$1|K|3|G|5|6|7|1N|8|@]|D|@]|E|$]]|$1|L|3|M|5|6|7|1O|8|@]|D|@]|E|$]]|$1|N|3|O|5|P|7|1P|8|@]|D|@]|E|$]]|$1|Q|3|R|5|P|7|1Q|8|@]|D|@]|E|$]]|$1|S|3|T|5|6|7|1R|8|@$9|1S|A|1T|B|U]]|D|@]|E|$]]|$1|V|3|W|5|6|7|1U|8|@]|D|@]|E|$]]|$1|X|3|Y|5|Z|7|1V|8|@]|D|@]|E|$10|11]]|$1|12|3|13|5|6|7|1W|8|@]|D|@]|E|$]]|$1|14|3|15|5|Z|7|1X|8|@]|D|@]|E|$10|11]]|$1|16|3|-4|5|6|7|1Y|8|@]|D|@]|E|$]]]|17|$18|$5|19|1A|1B|E|$1C|1D|1E|-4]]]]

On Windows 10, with Python 3.6.X version I was facing the same. Then after checking deliberately, I noticed I had Python-32 bit installation on my 64-bit machine. Remember TensorFlow is only compatible with a 64-bit installation of Python. Not 32 bit of Python
<a href="https://i.stack.imgur.com/cABEM.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/cABEM.jpg" alt="Installation requirements" /></a>
If we download Python from python.org, the default installation would be 32 bit. So we have to download the 64 bit installer manually to install Python 64 bit. And then add
<ol>
<li>C:\Users&lt;username&gt;\AppData\Local\Programs\Python\Python36</li>
<li>C:\Users&lt;username&gt;\AppData\Local\Programs\Python\Python36\Scripts</li>
</ol>
Then run <code>gpupdate /Force</code> on the command prompt. If the Python command doesn’t work for 64 bit, restart your machine.
Then run the Python interpreter on the command prompt. It should show 64 bit
<pre class="lang-none prettyprint-override"><code>python

Python 3.6.3 (v3.6.3:2c5fed8, Oct 3 2017, 18:11:49) [MSC v.1900 64 bit (AMD64)] on win32
Type &quot;help&quot;, &quot;copyright&quot;, &quot;credits&quot; or &quot;license&quot; for more information.
</code></pre>
Then run the below command to install the TensorFlow CPU version (recommended)
<pre class="lang-none prettyprint-override"><code>pip3 install --upgrade tensorflow
</code></pre>

blocks|key|1618425|text|我试着从源代码安装并得到了那个错误。(为什么这台机器上的轮子与它不兼容？)|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1618426|对我来说，标签--ignore-installed带来了所有的不同。|offset|length|style|CODE|1618427|pip+install+--ignore-installed+/tmp/tensorflow_pkg/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl|code-block|syntax|javascript|1618428|工作过，而|1618429|pip+install+/tmp/tensorflow_pkg/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl|1618430|抛出上述错误。|1618431|上下文：康达环境；它可能是特定于此的问题。|1618432|entityMap|0|LINK|mutability|MUTABLE|url|https://en.wikipedia.org/wiki/Conda_(package_manager)^0|0|7|I|0|0|0|0|0|4|2|0|0^^$0|@$1|2|3|4|5|6|7|12|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|13|8|@$D|14|E|15|F|G]]|9|@]|A|$]]|$1|H|3|I|5|J|7|16|8|@]|9|@]|A|$K|L]]|$1|M|3|N|5|6|7|17|8|@]|9|@]|A|$]]|$1|O|3|P|5|J|7|18|8|@]|9|@]|A|$K|L]]|$1|Q|3|R|5|6|7|19|8|@]|9|@]|A|$]]|$1|S|3|T|5|6|7|1A|8|@]|9|@$D|1B|E|1C|1|1D]]|A|$]]|$1|U|3|-4|5|6|7|1E|8|@]|9|@]|A|$]]]|V|$W|$5|X|Y|Z|A|$10|11]]]]

I was trying to install from source and got that error. (Why would a wheel built on this machine not be compatible with it?)
For me, the tag <code>--ignore-installed</code> made all the difference.
<pre class="lang-none prettyprint-override"><code>pip install --ignore-installed /tmp/tensorflow_pkg/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl
</code></pre>
worked, while
<pre class="lang-none prettyprint-override"><code>pip install /tmp/tensorflow_pkg/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl
</code></pre>
threw the abovementioned error.
Context: <a href="https://en.wikipedia.org/wiki/Conda_(package_manager)" rel="nofollow noreferrer">Conda</a> environment; it might have been a problem specific to this

blocks|key|1013223|text|也许您安装了错误的预构建二进制文件？|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1013224|检查https://github.com/lakshayg/tensorflow-build|offset|length|1013225|对于我的咖啡湖处理器Ubuntu+18.04+(仿生海狸)，下载网址是：|1013226|64.whl|1013227|pip+install+--ignore-installed+--upgrade+<PATH>|code-block|syntax|javascript|1013228|帮我解决了这个问题。|1013229|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/lakshayg/tensorflow-build|1|https://en.wikipedia.org/wiki/Coffee_Lake|2|https://en.wikipedia.org/wiki/Ubuntu_version_history#Ubuntu_18.04_LTS_.28Bionic_Beaver.29|3|https://github.com/lakshayg/tensorflow-build/releases/download/tf1.12.0-ubuntu18.04-py2-py3/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl^0|0|2|18|0|0|4|3|1|A|C|2|0|0|6|3|0|0|0^^$0|@$1|2|3|4|5|6|7|14|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|15|8|@]|9|@$D|16|E|17|1|18]]|A|$]]|$1|F|3|G|5|6|7|19|8|@]|9|@$D|1A|E|1B|1|1C]|$D|1D|E|1E|1|1F]]|A|$]]|$1|H|3|I|5|6|7|1G|8|@]|9|@$D|1H|E|1I|1|1J]]|A|$]]|$1|J|3|K|5|L|7|1K|8|@]|9|@]|A|$M|N]]|$1|O|3|P|5|6|7|1L|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|6|7|1M|8|@]|9|@]|A|$]]]|R|$S|$5|T|U|V|A|$W|X]]|Y|$5|T|U|V|A|$W|Z]]|10|$5|T|U|V|A|$W|11]]|12|$5|T|U|V|A|$W|13]]]]

Maybe you are installing the wrong pre-build binary?
Check on <a href="https://github.com/lakshayg/tensorflow-build" rel="nofollow noreferrer">https://github.com/lakshayg/tensorflow-build</a>
For my <a href="https://en.wikipedia.org/wiki/Coffee_Lake" rel="nofollow noreferrer">Coffee Lake</a> processor on <a href="https://en.wikipedia.org/wiki/Ubuntu_version_history#Ubuntu_18.04_LTS_.28Bionic_Beaver.29" rel="nofollow noreferrer">Ubuntu 18.04</a> (Bionic Beaver) the download URL was:
<a href="https://github.com/lakshayg/tensorflow-build/releases/download/tf1.12.0-ubuntu18.04-py2-py3/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl" rel="nofollow noreferrer">https://github.com/lakshayg/tensorflow-build/releases/download/tf1.12.0-ubuntu18.04-py2-py3/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl</a>
<pre><code>pip install --ignore-installed --upgrade &lt;PATH&gt;
</code></pre>
resolved the issue for me.

blocks|key|2173723|text|我也面临着同样的问题，并且尝试了人们在这里提出的所有解决方案和其他链接(比如https://askubuntu.com/questions/695981/platform-not-supported-for-tensorflow-on-ubuntu-14-04-2)。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2173724|这是如此令人沮丧，因为使用print(wheel.pep425tags.get_supported())，我可以看到我的Ubuntu支持(‘It+37’，'cp37m'，'linux_x86_64')，这正是我试图安装的(从64.whl)。|style|CODE|2173725|最终修复的方法是先下载软件包，然后再下载|2173726|pip+install+tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl|code-block|syntax|javascript|2173727|entityMap|0|LINK|mutability|MUTABLE|url|https://askubuntu.com/questions/695981/platform-not-supported-for-tensorflow-on-ubuntu-14-04-2|1|https://en.wikipedia.org/wiki/Ubuntu_%2528operating_system%2529|2|https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl^0|12|2M|0|0|D|13|1O|6|1|34|6|2|0|0|0^^$0|@$1|2|3|4|5|6|7|10|8|@]|9|@$A|11|B|12|1|13]]|C|$]]|$1|D|3|E|5|6|7|14|8|@$A|15|B|16|F|G]]|9|@$A|17|B|18|1|19]|$A|1A|B|1B|1|1C]]|C|$]]|$1|H|3|I|5|6|7|1D|8|@]|9|@]|C|$]]|$1|J|3|K|5|L|7|1E|8|@]|9|@]|C|$M|N]]|$1|O|3|-4|5|6|7|1F|8|@]|9|@]|C|$]]]|P|$Q|$5|R|S|T|C|$U|V]]|W|$5|R|S|T|C|$U|X]]|Y|$5|R|S|T|C|$U|Z]]]]

I faced the same issue and tried all the solutions that folks suggested here and other links (like <a href="https://askubuntu.com/questions/695981/platform-not-supported-for-tensorflow-on-ubuntu-14-04-2">Platform not supported for TensorFlow on Ubuntu 14.04.2</a>).
It was so frustrating because using <code>print(wheel.pep425tags.get_supported())</code> I could see that my <a href="https://en.wikipedia.org/wiki/Ubuntu_%28operating_system%29" rel="nofollow noreferrer">Ubuntu</a> supported ('cp37', 'cp37m', 'linux_x86_64') and that was exactly what I was trying to install (from <a href="https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl" rel="nofollow noreferrer">https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl</a>).
What at the end fixed it was to simply download the package first and then
<pre class="lang-none prettyprint-override"><code>pip install tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl
</code></pre>

blocks|key|1618595|text|我试图在Ubuntu+18.04+(仿生海狸)上安装CPU+TensorFlow，这是最好的方法(对我来说.)我发现它是用在Conda上面的，因为：|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1618596|创建Conda‘tensorflow’环境。遵循https://linuxize.com/post/how-to-install-anaconda-on-ubuntu-18-04/|ordered-list-item|1618597|安装完毕后，请参阅https://conda.io/projects/conda/en/latest/user-guide/getting-started.html。并根据https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#managing-environments使用它|1618598|conda+create+--name+tensorflow|style|CODE|1618599|source++activate+tenso回流|1618600|pip+install+--upgrade+pip|1618601|pip+uninstall+tensorflow|1618602|CPU：pip+install+tensorflow-cpu，GPU：pip+install+tensorflow|1618603|pip+install+--ignore-installed+--upgrade+tensorflow|1618604|测试TF，例如在“哪里”上使用：|1618605|python|blockquote|1618606|import+tensorflow+as+tf

>>>+tf.where([[True,+False],+[False,+True]])|code-block|syntax|javascript|1618607|预期结果：|1618608|<tf.Tensor:+shape=(2,+2),+dtype=int64,+numpy=
array([[0,+0],
+++++++[1,+1]])>|1618609|在Conda升级之后，我得到了：
DeprecationWarning：“源停用”被取消。使用“conda停用”。|unordered-list-item|1618610|所以你应该用：|1618611|‘conda+activate+tensorflow’+/+‘conda+deactivate’|1618612|entityMap|0|LINK|mutability|MUTABLE|url|https://en.wikipedia.org/wiki/Ubuntu_version_history#Ubuntu_18.04_LTS_.28Bionic_Beaver.29|1|https://linuxize.com/post/how-to-install-anaconda-on-ubuntu-18-04/|2|https://conda.io/projects/conda/en/latest/user-guide/getting-started.html|3|https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#managing-environments^0|4|C|0|0|O|1U|1|0|9|21|2|2E|32|3|0|0|U|0|0|M|0|0|P|0|0|O|0|4|Q|Z|M|0|0|1F|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|1V|8|@]|9|@$A|1W|B|1X|1|1Y]]|C|$]]|$1|D|3|E|5|F|7|1Z|8|@]|9|@$A|20|B|21|1|22]]|C|$]]|$1|G|3|H|5|F|7|23|8|@]|9|@$A|24|B|25|1|26]|$A|27|B|28|1|29]]|C|$]]|$1|I|3|J|5|F|7|2A|8|@$A|2B|B|2C|K|L]]|9|@]|C|$]]|$1|M|3|N|5|F|7|2D|8|@$A|2E|B|2F|K|L]]|9|@]|C|$]]|$1|O|3|P|5|F|7|2G|8|@$A|2H|B|2I|K|L]]|9|@]|C|$]]|$1|Q|3|R|5|F|7|2J|8|@$A|2K|B|2L|K|L]]|9|@]|C|$]]|$1|S|3|T|5|F|7|2M|8|@$A|2N|B|2O|K|L]|$A|2P|B|2Q|K|L]]|9|@]|C|$]]|$1|U|3|V|5|F|7|2R|8|@$A|2S|B|2T|K|L]]|9|@]|C|$]]|$1|W|3|X|5|F|7|2U|8|@]|9|@]|C|$]]|$1|Y|3|Z|5|10|7|2V|8|@]|9|@]|C|$]]|$1|11|3|12|5|13|7|2W|8|@]|9|@]|C|$14|15]]|$1|16|3|17|5|6|7|2X|8|@]|9|@]|C|$]]|$1|18|3|19|5|13|7|2Y|8|@]|9|@]|C|$14|15]]|$1|1A|3|1B|5|1C|7|2Z|8|@]|9|@]|C|$]]|$1|1D|3|1E|5|6|7|30|8|@]|9|@]|C|$]]|$1|1F|3|1G|5|13|7|31|8|@]|9|@]|C|$14|15]]|$1|1H|3|-4|5|6|7|32|8|@]|9|@]|C|$]]]|1I|$1J|$5|1K|1L|1M|C|$1N|1O]]|1P|$5|1K|1L|1M|C|$1N|1Q]]|1R|$5|1K|1L|1M|C|$1N|1S]]|1T|$5|1K|1L|1M|C|$1N|1U]]]]

I was trying to install CPU TensorFlow on <a href="https://en.wikipedia.org/wiki/Ubuntu_version_history#Ubuntu_18.04_LTS_.28Bionic_Beaver.29" rel="nofollow noreferrer">Ubuntu 18.04</a> (Bionic Beaver), and the best way (for me...) I found for it was using it on top of Conda, for that:
<ol>
<li>To create a Conda ‘tensorflow’ environment. Follow <a href="https://linuxize.com/post/how-to-install-anaconda-on-ubuntu-18-04/" rel="nofollow noreferrer">How to Install Anaconda on Ubuntu 18.04</a>
</li>
<li>After all is installed, see <a href="https://conda.io/projects/conda/en/latest/user-guide/getting-started.html" rel="nofollow noreferrer">Getting started with conda</a>. And use it according to <a href="https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#managing-environments" rel="nofollow noreferrer">Managing environments</a>
</li>
<li><code>conda create --name tensorflow</code>
</li>
<li><code>source activate tenso</code>rflow
</li>
<li><code>pip install --upgrade pip</code>
</li>
<li><code>pip uninstall tensorflow</code>
</li>
<li>For CPU: <code>pip install tensorflow-cpu</code>, for GPU: <code>pip install tensorflow</code>
</li>
<li><code>pip install --ignore-installed --upgrade tensorflow</code>
</li>
<li>Test TF E.g. on 'Where' with:
</li>
</ol>
<blockquote>
python
</blockquote>
<pre><code>import tensorflow as tf

&gt;&gt;&gt; tf.where([[True, False], [False, True]])
</code></pre>
Expected result:
<pre><code>&lt;tf.Tensor: shape=(2, 2), dtype=int64, numpy=
array([[0, 0],
 [1, 1]])&gt;
</code></pre>
<ul>
<li>After the Conda upgrade, I got:
<pre class="lang-none prettyprint-override"><code>DeprecationWarning: 'source deactivate' is deprecated. Use 'conda deactivate'.
</code></pre>
</li>
</ul>
So you should use:
<pre><code>‘conda activate tensorflow’ / ‘conda deactivate’
</code></pre>

blocks|key|1618630|text|这意味着默认Python解释器(python+-V)的版本与默认pip+(pip+-V)的版本不匹配。您已经用默认的Python解释器构建了TensorFlow，并尝试使用不同的pip版本来安装它。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1618631|在Mac中，删除/usr/local/bin/pip并将pipx.y+(与Python版本匹配的x.y版本)重命名为该文件夹中的pip。|1618632|entityMap^0|G|9|11|6|0|0^^$0|@$1|2|3|4|5|6|7|J|8|@$9|K|A|L|B|C]|$9|M|A|N|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|O|8|@]|D|@]|E|$]]|$1|H|3|-4|5|6|7|P|8|@]|D|@]|E|$]]]|I|$]]

It means that the version of your default Python interpreter (<code>python -V</code>) and the version of your default pip (<code>pip -V</code>) do not match. You have built TensorFlow with your default Python interpreter and trying to use a different pip version to install it.
In Mac, delete /usr/local/bin/pip and rename (copy) pipx.y (whatever x.y version that matches your Python version) to pip in that folder.

blocks|key|1618651|text|对于Windows+10+64位：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1618652|我在这里尝试了所有的建议，但最后我让它运行如下：|1618653|卸载所有当前版本的Python|ordered-list-item|1618654|删除PATH系统和用户环境变量中的所有Python引用|1618655|下载最新64位版本的Python3.8:Python3.8.7，而不是我使用的最新3.9.x版本，而不是32位。|1618656|安装时选择所有选项，包括pip，并包括PATH环境变量。|1618657|pip+install+tensorflow+(在管理员CMD提示符中)|offset|length|style|CODE|1618658|如果提示升级pip+(可选)|1618659|entityMap^0|0|0|0|0|0|0|0|M|0|0^^$0|@$1|2|3|4|5|6|7|W|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|X|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|Y|8|@]|9|@]|A|$]]|$1|G|3|H|5|F|7|Z|8|@]|9|@]|A|$]]|$1|I|3|J|5|F|7|10|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|11|8|@]|9|@]|A|$]]|$1|M|3|N|5|F|7|12|8|@$O|13|P|14|Q|R]]|9|@]|A|$]]|$1|S|3|T|5|F|7|15|8|@]|9|@]|A|$]]|$1|U|3|-4|5|6|7|16|8|@]|9|@]|A|$]]]|V|$]]

For Windows 10 64 bit:
I have tried all the suggestions here, but finally I got it running as follows:
<ol>
<li>Uninstall all current versions of Python</li>
<li>Remove all Python references in the PATH system and user environment variables</li>
<li>Download the latest 64-bit version of Python 3.8: Python 3.8.7 currently, not the latest 3.9.x version which is the one I was using, and not 32 bit.</li>
<li>Install with all options selected, including pip, and including the PATH environment variable</li>
<li><code>pip install tensorflow</code> (in an administrator CMD prompt)</li>
<li>Upgrade pip if prompted (optional)</li>
</ol>

blocks|key|1013464|text|这对我有用。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1013465|系统需求Python3.7-3.10|1013466|macOS+10.12.6+(塞拉利昂)或更高版本(没有GPU支持)|1013467|pip+install+tensorflow-macos|code-block|syntax|javascript|1013468|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|N|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|O|8|@]|9|@]|A|$]]|$1|F|3|G|5|H|7|P|8|@]|9|@]|A|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

This worked for me.
system requirement Python 3.7–3.10
macOS 10.12.6 (Sierra) or later (no GPU support)
<pre><code>pip install tensorflow-macos
</code></pre>

when I try to install TensorFlow by cloning from Git, I run into the error &quot;no module named copyreg,&quot; so I tried installing using a <a href="http://pypi.python.org/pypi/virtualenv" rel="nofollow noreferrer">virtualenv</a>. However, I then run into this error:
<pre class="lang-none prettyprint-override"><code>pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl

tensorflow-0.5.0-py2-none-any.whl is not a supported wheel on this platform.
</code></pre>
I don't see this under the common problems section.
I am using <a href="https://en.wikipedia.org/wiki/OS_X_Yosemite" rel="nofollow noreferrer">OS X v10.10.5</a> (Yosemite) and Python 3.4.3, but I also have Python 2.7 (I am unsure if pip differentiates between these or how to switch between them).

Tensorflow installation error: not a supported wheel on this platform

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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当我试图通过从Git克隆来安装TensorFlow时，我遇到了“没有模块名为copyreg”的错误，所以我尝试使用安装。但是，我随后遇到了以下错误：pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-an...

问Tensorflow安装错误:在此平台上没有支撑轮
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