首页python -c "import torch_geometric" Segmentation fault

python -c "import torch_geometric" Segmentation fault

时间: 2024-01-22 20:55:39 浏览: 136

Pycharm中import torch报错

5星 · 资源好评率100%

Pycharm中import torch报错的解决方法问题描述：今天在跑GitHub上一个深度学习的模型，需要引入一个torch包，在pycharm中用pip命令安装时报错：于是我上网寻求解决方案，试了很多都失败了，最后在：Anne琪琪的博客中找到了答案，下面记录一下解决问题的步骤： 1、打开Anaconda prompt执行下面命令： conda install pytorch-cpu torchvision-cpu -c pytorch 等待运行结束。 2、测试torch是否安装成功 import torch print(torch.__version__) 如果输出了torc

A segmentation fault error occurs when a program tries to access a memory location that it is not allowed to access. In this case, it seems that the Python script is trying to import the torch_geometric library, but something is going wrong with the memory allocation. There are a few things you can try to solve this issue: 1. Check that you have installed torch_geometric correctly. You can do this by running `pip show torch-geometric` in your terminal to see if it is installed and what version you have. If it is not installed, you can install it with `pip install torch-geometric`. 2. Check that you have the correct version of PyTorch installed. Torch_geometric requires PyTorch version 1.4.0 or later. You can check your PyTorch version by running `python -c "import torch; print(torch.__version__)"` in your terminal. 3. Try running the script in a different environment, such as a virtual environment or a Docker container. This can help to isolate any issues with dependencies or conflicting libraries. 4. If none of the above solutions work, try updating your operating system and/or your graphics card driver. Sometimes, outdated drivers can cause memory issues. If none of the above solutions work, you may need to seek further help from the torch_geometric community or a technical support team.

阅读全文