Commit c3352204 authored by zhuwenwen's avatar zhuwenwen
Browse files

update 1.1

parent 380c66aa
...@@ -100,7 +100,7 @@ SUGP1.fasta为推理的多体序列;--param_path为加载多体模型路径, ...@@ -100,7 +100,7 @@ SUGP1.fasta为推理的多体序列;--param_path为加载多体模型路径,
| fp32 | 单体 | T1053 | 580 | 0.937 | 0.782 | 92.284 | 0.984 | 0.929 | 1.105 | | fp32 | 单体 | T1053 | 580 | 0.937 | 0.782 | 92.284 | 0.984 | 0.929 | 1.105 |
| fp32 | 单体 | Q9NYK1 | 1046 | 0.907 | 0.744 | 86.642 | 0.962 | 0.905 | 5.757 | | fp32 | 单体 | Q9NYK1 | 1046 | 0.907 | 0.744 | 86.642 | 0.962 | 0.905 | 5.757 |
## 历史版本 ## 源码仓库及问题反馈
* https://developer.hpccube.com/codes/modelzoo/FastFold * https://developer.hpccube.com/codes/modelzoo/FastFold
## 参考 ## 参考
* [https://github.com/deepmind/alphafold](https://github.com/deepmind/alphafold) * [https://github.com/deepmind/alphafold](https://github.com/deepmind/alphafold)
......
...@@ -3,6 +3,6 @@ modelName=FastFold_Pytorch ...@@ -3,6 +3,6 @@ modelName=FastFold_Pytorch
# 模型描述 # 模型描述
modelDescription=FastFold基于蛋白质结构预测模型,进行推理的性能优化 modelDescription=FastFold基于蛋白质结构预测模型,进行推理的性能优化
# 应用场景(多个标签以英文逗号分割) # 应用场景(多个标签以英文逗号分割)
appScenario=NLP,蛋白质结构预测,推理 appScenario=推理,NLP,蛋白质结构预测
# 框架类型(多个标签以英文逗号分割) # 框架类型(多个标签以英文逗号分割)
frameType=PyTorch frameType=PyTorch
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