Commit 25e55f3f authored by limm's avatar limm
Browse files

fix README.md

parent 19fd8251
...@@ -3,7 +3,7 @@ ...@@ -3,7 +3,7 @@
Pytorch Sparce 是 SplineCNN 的基于样条的卷积算子 Pytorch Sparce 是 SplineCNN 的基于样条的卷积算子
### 使用pip方式安装 ### 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 torch-sparce whl包下载目录:[http://10.6.10.68:8000/customized/torch-sparse/dtk24.04/](http://10.6.10.68:8000/customized/torch-sparse/dtk24.04/). 目前只提供有python.10版本的安装包
```shell ```shell
pip install torch_sparse* (下载的torch_sparse的whl包) pip install torch_sparse* (下载的torch_sparse的whl包)
``` ```
...@@ -15,25 +15,24 @@ pip install torch_sparse* (下载的torch_sparse的whl包) ...@@ -15,25 +15,24 @@ pip install torch_sparse* (下载的torch_sparse的whl包)
pip install numpy pip install numpy
pip install 'urllib3==1.26.14' pip install 'urllib3==1.26.14'
pip install pytest pip install pytest
pip insta;; wheel pip install 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: - 在首页 | 光合开发者社区下载 det24.04 解压在 /opt/ 路径下,并建立软连接,例如:
```shell ```shell
cd /opt cd /opt
wget http://10.6.10.68:8000/dtk-release/dtk23.10/CentOS7.6/DTK-23.10-CentOS7.6-x86_64.tar.gz wget http://10.6.10.68:8000/dtk-pkg/dtk24.04/release/CentOS7.6/DTK-24.04-CentOS7.6-x86_64.tar.gz
tar -zxvf DTK-23.10-CentOS7.6-x86_64.tar.gz tar -zxvf DTK-24.04-CentOS7.6-x86_64.tar.gz
ln -s dtk-23.10 dtk ln -s dtk-24.04 dtk
source /opt/dtk/env.sh 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: - 安装pytorch. pytorch whl包下载目录: [http://10.6.10.68:8000/debug/pytorch/dtk24.04/torch-2.1.0%2Bgit1c51f6a.abi1.dtk2404-cp310-cp310-linux_x86_64.whl](http://10.6.10.68:8000/debug/pytorch/dtk24.04/torch-2.1.0%2Bgit1c51f6a.abi1.dtk2404-cp310-cp310-linux_x86_64.whl). 根据需求下载对应的版本,安装如下:
```shell ```shell
pip install torch* (下载的torch的whl包) pip install torch* (下载的torch的whl包)
``` ```
#### 源码下载编译安装 #### 源码下载编译安装
```shell ```shell
git clone -b 0.6.15-release http://developer.hpccube.com/codes/aicomponent/torch-sparce.git git clone -b 0.6.16-release http://developer.hpccube.com/codes/aicomponent/torch-sparce.git
python pymap_script.py /path/to/torch-sparce
cd torch-sparce cd torch-sparce
python setup.py bdist_wheel python setup.py bdist_wheel
pip install dist/*.whl pip install dist/*.whl
...@@ -50,10 +49,10 @@ pytest ...@@ -50,10 +49,10 @@ pytest
``` ```
find / -name "_version_cpu.so" find / -name "_version_cpu.so"
cd /torch-sparce/torch_sparse cd /torch-sparce/torch_sparse
ln -s /usr/local/lib/python3.8/site-packages/torch_sparse/* . ln -s /usr/local/lib/python3.10/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 - 编译torch_sparse==0.6.16 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 ```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(); }); 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(); });
``` ```
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