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# <div align="center"><strong>FastFold</strong></div> # <div align="center"><strong>FastFold</strong></div>
## 简介 ## 简介
FastFold是蛋白质结构预测模型推理的库,主要提供以下功能:蛋白质单体和多体的推理,提供Evoformer的高性能实现,支持多卡分布式推理。FastFold官方github地址:[https://github.com/hpcaitech/FastFold](https://github.com/hpcaitech/FastFold) FastFold是蛋白质结构预测模型推理的库,主要提供以下功能:蛋白质单体和多体的推理,提供Evoformer的高性能实现,支持多卡分布式推理。
## 安装 ## 安装
安装FastFold,你需要 安装FastFold,你需要
...@@ -45,15 +45,17 @@ export CPLUS_INCLUDE_PATH=$ROCM_PATH/include:$ROCM_PATH/cuda/targets/x86_64-linu ...@@ -45,15 +45,17 @@ export CPLUS_INCLUDE_PATH=$ROCM_PATH/include:$ROCM_PATH/cuda/targets/x86_64-linu
python3 setup.py install python3 setup.py install
``` ```
## 版本号查询 ## 注意事项
+ 若使用 pip install 下载安装过慢,可添加源:-i https://pypi.tuna.tsinghua.edu.cn/simple/
+ ROCM_PATH为dtk的路径,默认为/opt/dtkxxx
## 验证
- python -c "import fastfold; print(fastfold.\_\_version__)",版本号与官方版本同步,查询该软件的版本号,例如0.2.0; - python -c "import fastfold; print(fastfold.\_\_version__)",版本号与官方版本同步,查询该软件的版本号,例如0.2.0;
## Known Issue ## Known Issue
- -
## Note
+ 若使用 pip install 下载安装过慢,可添加源:-i https://pypi.tuna.tsinghua.edu.cn/simple/
+ ROCM_PATH为dtk的路径,默认为/opt/dtkxxx
## 参考 ## 参考
- [README_ORIGIN](README_ORIGIN.md) - [README_ORIGIN](README_ORIGIN.md)
[https://github.com/hpcaitech/FastFold](https://github.com/hpcaitech/FastFold)
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