Comments (7)
- 你可以重新安装下
python -m pip install -U scikit-learn
,然后确认下是否安装成功python -c "import sklearn; sklearn.show_versions()"
- 可以使用CPU运行的
from graphneuralnetwork.
- 你可以重新安装下
python -m pip install -U scikit-learn
,然后确认下是否安装成功python -c "import sklearn; sklearn.show_versions()"
- 可以使用CPU运行的
作者您好!之前的问题解决了,不过出现了新的问题:
No module named 'torch_scatter'
按照readme中的解释执行pip install --verbose --no-cache-dir torch-scatter安装失败,命令行刷了好多内容,最后是:
ModuleNotFoundError: No module named 'torch_scatter'
不知如何解决,环境win10 python3.7.5 torch1.2.0 cpu
from graphneuralnetwork.
你看下pip install --verbose --no-cache-dir torch-scatter 输出内容中是因为什么原因没有安装成功
from graphneuralnetwork.
你看下pip install --verbose --no-cache-dir torch-scatter 输出内容中是因为什么原因没有安装成功
前面在镜像源中找到torch_scatter后,接下来
Running setup.py (path:C:\Users\lww\AppData\Local\Temp\pip-install-svoxoocm\torch-scatter\setup.py) egg_info for package torch-scatter
Running command python setup.py egg_info
Traceback (most recent call last):
File "", line 1, in
File "C:\Users\lww\AppData\Local\Temp\pip-install-svoxoocm\torch-scatter\setup.py", line 6, in
import torch
ModuleNotFoundError: No module named 'torch'
Cleaning up...
Removing source in C:\Users\lww\AppData\Local\Temp\pip-install-svoxoocm\torch-scatter
Removed torch-scatter from https://mirrors.aliyun.com/pypi/packages/98/a9/47cd92673b6ba251240d587815c763baac2099b07bb76fecdb3b7ae5cece/torch_scatter-2.0.4.tar.gz#sha256=db6c9eca919b86f3eb6102dd0e1215af72e39ed3a4e8d142e6a21d3f20d5c244 from build tracker 'C:\Users\lww\AppData\Local\Temp\pip-req-tracker-0bjteymk'
Removed build tracker 'C:\Users\lww\AppData\Local\Temp\pip-req-tracker-0bjteymk'
ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
其中提到了no module named 'torch',是否说torch版本不对?
from graphneuralnetwork.
没有找到torch,估计是你电脑上有多套的python环境,你使用的pip与python不一致,换成python -m pip install --verbose --no-cache-dir torch-scatter
from graphneuralnetwork.
没有找到torch,估计是你电脑上有多套的python环境,你使用的pip与python不一致,换成
python -m pip install --verbose --no-cache-dir torch-scatter
还是有问题
为什么会提到cuda啥的
from graphneuralnetwork.
torch_scatter 安装的时候会默认去找cuda的路径,你可以通过设置环境变量FORCE_CPU=1
来屏蔽该行为,参考https://github.com/rusty1s/pytorch_scatter/blob/master/setup.py#L13。
你可以试试这个命令是否可行:FORCE_CPU=1 python -m pip install --verbose --no-cache-dir torch-scatter
,我不确定windows上这样设置是否有效
from graphneuralnetwork.
Related Issues (20)
- 关于chapter7 graphsage 每轮epoch最后一轮batch src_node变成1000 但是设置的根节点数目为16 HOT 1
- 关于书的92、93、94页的疑问和错误。 HOT 1
- 能不能把电子版本里面的错误都改掉? HOT 15
- 5.5卷积神经网络的疑问? HOT 1
- P88 5.3节 特征矩阵计算错误? HOT 1
- something seems wrong in the file of main.py in chapter07 HOT 1
- 35页公式2.23上面一句话有错 HOT 1
- 第九章的代码 HOT 2
- 关于第7章GAT部分的一些错误 HOT 1
- 第五页K阶子图定义 HOT 4
- Unpicklingerror: invalid loadkey,' \ x0a' HOT 2
- 第5章勘误 HOT 2
- 第五章勘误:Laplacian Matrix的正交分解 HOT 3
- 公式5.18如何理解 HOT 1
- 第五章代码有错误 HOT 6
- Issue in generating .test.index file
- 关于chapter7中GraphSAGE的代码中好像并没有体现采样顺序k->1,聚合顺序1->k的问题
- Node classification task
- 77页的公式不太对
- 关于《深入浅出图神经网络:GNN原理解析》一书中chapter9代码的问题
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from graphneuralnetwork.