update

README.md

@@ -27,6 +27,29 @@ cd /home/resnet50_oneflow
 pip install -r requirements.txt
 ```
 
+### Conda
+
+1. 创建conda虚拟环境：
+
+```plaintext
+conda create -n resnet python=3.9
+```
+
+关于本项目DCU显卡所需的工具包、深度学习库等均可从[光合](https://developer.hpccube.com/tool/)开发者社区下载安装。
+
+- [DTK-22.10.1](https://cancon.hpccube.com:65024/1/main/DTK-22.10.1)
+
+- [Oneflow-0.9](https://cancon.hpccube.com:65024/4/main/oneflow/dtk22.10)
+
+  Tips：以上dtk驱动、python等工具版本需要严格一一对应。
+
+其它依赖库参照requirements.txt安装：
+
+```plaintext
+cd resnet50_oneflow
+pip install -r requirements.txt
+```
+
 ## 数据集
 
 我们考虑到imagenet数据集比较庞大，为了用户可以使用OneFlow快速进行Resnet50的训练验证，采用mini-imagenet小数据集。如果需要原始数据需要参考该链接https://github.com/Oneflow-Inc/models/tree/main/Vision/classification/image/resnet50#prepare-ofrecord-for-the-full-imagenet-dataset进行转换为ofrecord
@@ -99,7 +122,7 @@ ofrecord-imagenet
 
 - https://developer.hpccube.com/codes/modelzoo/resnet50_oneflow
 
-## 参考
+## 参考资料
 
 * https://github.com/Oneflow-Inc/models/tree/main/Vision/classification/image/resnet50
 * https://github.com/Oneflow-Inc/oneflow
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