blocks|key|395290|text|也许在这里查一下：几何/问题/999|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|395291|大多数人说，这是因为你是如何安装pytorch和两个版本的(+cpu和gpu版本都是安装的)。|395292|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/pyg-team/pytorch_geometric/issues/999^0|9|9|0|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]]|C|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@]|C|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]]]

Maybe check here:
<a href="https://github.com/pyg-team/pytorch_geometric/issues/999" rel="nofollow noreferrer">https://github.com/pyg-team/pytorch_geometric/issues/999</a>
Most people say it is due to how you installed pytorch and two versions (the cpu and gpu versions are both installed)

blocks|key|395346|text|我也有过类似的问题。正如在这个GitHub评论中提到的，当我们在系统中安装了不同的torch版本时，就会出现这个问题。这个问题发生在我的anaconda虚拟环境中，我安装在下面的路径中。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|395347|/home/anaconda3/envs/python-3.9|code-block|syntax|javascript|395348|我按照以下步骤来解决这个问题。|395349|步骤01：首先删除所有现有的火炬安装及其依赖项。|style|BOLD|395350|$+cd+/home/anaconda3/envs/python-3.9/lib/python3.9/site-packages
$+rm+-rf+torch*|395351|步骤02：重新安装特定的PyTorch版本和相关的依赖项，如下所示。|395352|$+pip+install+torch+-f+https://data.pyg.org/whl/torch-<PYTORCH-VERSION>%2B<CPU%7CGPU>.html
$+pip+install+torch-geometric+-f+https://data.pyg.org/whl/torch-<PYTORCH-VERSION>%2B<CPU%7CGPU>.html
$+pip+install+torch-sparse+-f+https://data.pyg.org/whl/torch-<<PYTORCH-VERSION>%2B<CPU%7CGPU>.html
$+pip+install+torch-scatter+-f+https://data.pyg.org/whl/torch-<PYTORCH-VERSION>%2B<CPU%7CGPU>.html|395353|确保根据您的需求和系统(CPU或GPU)安装PyTorch版本。例如，我安装了以下版本。|395354|$+pip+install+torch+-f+https://data.pyg.org/whl/torch-1.12.1%2Bcpu.html
$+pip+install+torch-geometric+-f+https://data.pyg.org/whl/torch-1.12.1%2Bcpu.html
$+pip+install+torch-sparse+-f+https://data.pyg.org/whl/torch-1.12.1%2Bcpu.html
$+pip+install+torch-scatter+-f+https://data.pyg.org/whl/torch-1.12.1%2Bcpu.html|395355|你可以找到所有的稳定的PyTorch版本。此外，现在您将能够看到在您的anaconda安装路径/home/anaconda3/envs/python-3.9/lib/python3.9/site-packages中安装的包。|CODE|395356|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/pyg-team/pytorch_geometric/issues/999#issuecomment-593482341|1|https://data.pyg.org/whl/^0|D|A|0|0|0|0|0|4|0|0|0|4|0|0|0|0|1B|1N|8|C|1|0^^$0|@$1|2|3|4|5|6|7|1B|8|@]|9|@$A|1C|B|1D|1|1E]]|C|$]]|$1|D|3|E|5|F|7|1F|8|@]|9|@]|C|$G|H]]|$1|I|3|J|5|6|7|1G|8|@]|9|@]|C|$]]|$1|K|3|L|5|6|7|1H|8|@$A|1I|B|1J|M|N]]|9|@]|C|$]]|$1|O|3|P|5|F|7|1K|8|@]|9|@]|C|$G|H]]|$1|Q|3|R|5|6|7|1L|8|@$A|1M|B|1N|M|N]]|9|@]|C|$]]|$1|S|3|T|5|F|7|1O|8|@]|9|@]|C|$G|H]]|$1|U|3|V|5|6|7|1P|8|@]|9|@]|C|$]]|$1|W|3|X|5|F|7|1Q|8|@]|9|@]|C|$G|H]]|$1|Y|3|Z|5|6|7|1R|8|@$A|1S|B|1T|M|10]]|9|@$A|1U|B|1V|1|1W]]|C|$]]|$1|11|3|-4|5|6|7|1X|8|@]|9|@]|C|$]]]|12|$13|$5|14|15|16|C|$17|18]]|19|$5|14|15|16|C|$17|1A]]]]

I had a similar issue. As mentioned in <a href="https://github.com/pyg-team/pytorch_geometric/issues/999#issuecomment-593482341" rel="nofollow noreferrer">this GitHub comment</a>, this issue occurs when we have different torch versions installed in our system. This problem occurred in my anaconda virtual environment, which I installed in the following path.
<pre><code>/home/anaconda3/envs/python-3.9
</code></pre>
I followed the following steps to solve this issue.
Step 01: First remove all the existing torch installations and their dependencies.
<pre><code>$ cd /home/anaconda3/envs/python-3.9/lib/python3.9/site-packages
$ rm -rf torch*
</code></pre>
Step 02: Reinstall a specific PyTorch version and relevant dependencies as follows.
<pre><code>$ pip install torch -f https://data.pyg.org/whl/torch-&lt;PYTORCH-VERSION&gt;+&lt;CPU|GPU&gt;.html
$ pip install torch-geometric -f https://data.pyg.org/whl/torch-&lt;PYTORCH-VERSION&gt;+&lt;CPU|GPU&gt;.html
$ pip install torch-sparse -f https://data.pyg.org/whl/torch-&lt;&lt;PYTORCH-VERSION&gt;+&lt;CPU|GPU&gt;.html
$ pip install torch-scatter -f https://data.pyg.org/whl/torch-&lt;PYTORCH-VERSION&gt;+&lt;CPU|GPU&gt;.html
</code></pre>
Make sure you install a PyTorch version according to your requirements and your system (CPU or GPU). For example, I installed the following version.
<pre><code>$ pip install torch -f https://data.pyg.org/whl/torch-1.12.1+cpu.html
$ pip install torch-geometric -f https://data.pyg.org/whl/torch-1.12.1+cpu.html
$ pip install torch-sparse -f https://data.pyg.org/whl/torch-1.12.1+cpu.html
$ pip install torch-scatter -f https://data.pyg.org/whl/torch-1.12.1+cpu.html
</code></pre>
You can find all the <a href="https://data.pyg.org/whl/" rel="nofollow noreferrer">stable PyTorch versions here</a>. In addition, now you will be able to see the installed packages inside your anaconda installation path <code>/home/anaconda3/envs/python-3.9/lib/python3.9/site-packages</code>.

how to solve the pytorch_geometric install error. Undefined symbol: _ZN5torch3jit17parseSchemaOrNameERKSs #999
solution:
conda install pytorch pyg -c pytorch -c pyg -c conda-forge
conda create -n py38 pip
conda install pytorch pyg -c pytorch -c pyg -c conda-forge
conda install pyg -c pyg -c conda-forge
sudo apt-get install libfreetype6-dev
pip install -r requirements.txt

how to solve the pytorch_geometric install error. Undefined symbol: _ZN5torch3jit17parseSchemaOrNameERKSs #999

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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如何解决pytorch_geometric安装错误。未定义符号：_ZN5torch3jit17parseSchemaOrNameERKSs #999解决方案:康达公司安装pyg -c -c pyg -c conda锻造conda创建-n py38 pip康达公司安装放火枪-c -c pyg -c conda锻件康达安装...

问如何解决pytorch_geometric安装错误。未定义符号：_ZN5torch3jit17parseSchemaOrNameERKSs #999
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