#
PyTorch Sparse
## 简介
Pytorch Sparce 是 SplineCNN 的基于样条的卷积算子
### 使用pip方式安装
torch-sparce whl包下载目录:[http://10.6.10.68:8000/customized/torch-sparse/dtk2310/](http://10.6.10.68:8000/customized/torch-sparse/dtk2310/). 目前只提供有python3.8版本的安装包
```shell
pip install torch_sparse* (下载的torch_sparse的whl包)
```
### 使用源码编译方式安装
#### 编译环境准备
- 安装相关依赖
```shell
pip install numpy
pip install 'urllib3==1.26.14'
pip install pytest
pip insta;; wheel
```
- 在首页 | 光合开发者社区下载 det23.10 解压在 /opt/ 路径下,并建立软连接,例如:
```shell
cd /opt
wget http://10.6.10.68:8000/dtk-release/dtk23.10/CentOS7.6/DTK-23.10-CentOS7.6-x86_64.tar.gz
tar -zxvf DTK-23.10-CentOS7.6-x86_64.tar.gz
ln -s dtk-23.10 dtk
source /opt/dtk/env.sh
```
- 安装pytorch. pytorch whl包下载目录: [http://10.6.10.68:8000/debug/pytorch/dtk23.10/hipify](http://10.6.10.68:8000/debug/pytorch/dtk23.10/hipify). 根据需求下载对应的版本,安装如下:
```shell
pip install torch* (下载的torch的whl包)
```
#### 源码下载编译安装
```shell
git clone -b 0.6.15-release http://developer.hpccube.com/codes/aicomponent/torch-sparce.git
python pymap_script.py /path/to/torch-sparce
cd torch-sparce
python setup.py bdist_wheel
pip install dist/*.whl
```
## 单侧
```shell
cd torch-sparce
pytest
```
## Known Issue
- 完成安装进行单测时,会报错ImportError: Could not find module '_version_cpu' ~,在根目录/下查找一下,然后把库文件目录添加一下软链接即可。
```
find / -name "_version_cpu.so"
cd /torch-sparce/torch_sparse
ln -s /usr/local/lib/python3.8/site-packages/torch_sparse/* .
```
- 编译torch_sparse==0.6.15 目前不支持torch2.1版本的torch,如果编译torch2.1版本的torch_sparse0.6.15版本需要修改一些代码,文件路径pytorch_sparse/csrc/version.cpp
```shell
static auto registry = torch::RegisterOperators().op("torch_sparse::cuda_version", &sparse::cuda_version); -> static auto registry = torch::RegisterOperators().op("torch_sparse::cuda_version", [] { return sparse::cuda_version(); });
```
## 参考资料
```shell
https://github.com/rusty1s/pytorch_sparse
```