@文心快码BaiduComateerror: could not build wheels for torch_sparse, which is required to install 文心快码BaiduComate 针对你遇到的torch_sparse安装问题,我提供以下可能的解决方案,你可以按照这些步骤逐一尝试: 确认系统环境满足torch_sparse的安装要求: torch_sparse通常用于深度学习中的稀疏张量操作,因此你需要...
所以就安装torch-sparse,但是一直报错,类似于: ERROR: Command errored out with exit status 1: command: 'C:\Users\hastings\anaconda3\python.exe' -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\hastings\AppData\Local\Temp\pip-install-ks3umk5s\torch-scatter\setup.py...
ERROR: Cannot install torch-sparse==0.6.13, torch-sparse==0.6.14 and torch-sparse==0.6.15 because these package versions have conflicting dependencies. The conflict is caused by: torch-sparse 0.6.15 depends on scipy torch-sparse 0.6.14 depends on scipy torch-sparse 0.6.13 depends on scipy...
Hi. Though i have try many time ,i still can`t install torch-sparse. It says that: Running setup.py install for torch-sparse ... error ERROR: Command errored out with exit status 1: command: 'C:\Users\56784\AppData\Local\conda\conda\envs...
conda install pyg -c pyg 出现以下错误: OSError: libtorch_cuda_cu.so: cannot open shared object file: No such file or directory 2. 解决方案一 使用conda重新创建环境,使用以下命令安装针对CUDA10.2 torch-scatter torch-spare等包: pip install torch==1.11.0+cu101 torchvision==0.12.0+cu101 torchau...
pip install torch_sparse-0.6.9-cp37-cp37m-linux_x86_64.whl 结果如下,显示安装成功 image.png 之后,直接采用pip install torch-geometric==1.7.2,直接安装成功。 3. 测试是否安装成功 哈哈,简单采用了conda list,发现安装好了 image.png 完结撒花~...
//pytorch-geometric.com/whl/torch-1.5.0/torch_sparse-0.6.6%2Bcpu-cp37-cp37m-linux_x86_64.whl pip install torch_sparse-0.6.6+cpu-cp37-cp37m-linux_x86_64.whl wget https://pytorch-geometric.com/whl/torch-1.5.0/torch_cluster-1.5.6%2Bcpu-cp37-cp37m-linux_x86_64.whl pip install ...
按照python版本选择合适的版本号,比如本文是python3.8.0,所以选择cp38,又因为电脑安装的是window程序,显卡是amd的,所以选择torch_sparse-0.6.13-cp38-cp38-win_amd64.whl版本 最后,通过pip install直接安装whl版本即可 ps:如果遇到UserWarning: Error checking compiler version for cl错误,直接在系统盘搜索cl.exe,之后...
pip install torch_geometric==1.4.1 二、在ubuntu上重装GPU版本,出现错误:libcublas.so.9.2: cannot open shared object file: No such file or directory 这个错误可能是如下问题导致的: Cuda-9.2未安装或安装不正确 未添加环境变量或添加完未更新 1. 首先查看是否安装了cuda-9.2:(nvcc -v 或查看 /usr/local...
😵 Describe the installation problem When I was installing torch-sparse through the command: pip install torch-sparse -f https://pytorch-geometric.com/whl/torch-1.10.0+cu113.html, I was totally confused by the following error: Looking in ...