Update README.md

README.md

@@ -16,14 +16,14 @@ ResNet50使用了多个具有残差连接的残差块来解决梯度消失或梯
 ```
 docker pull image.sourcefind.cn:5000/dcu/admin/base/tensorflow:2.13.1-ubuntu20.04-dtk24.04.1-py3.10
 # <Your Image ID>用上面拉取docker镜像的ID替换
-docker run --shm-size 16g --network=host --name=resnet50_tensorFlow --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $PWD/resnet50_tensorflow:/home/resnet50_tensorflow -it <Your Image ID> bash
+docker run --shm-size 16g --network=host --name=resnet50_tensorFlow --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v /opt/hyhal:/opt/hyhal:ro -v $PWD/resnet50_tensorflow:/home/resnet50_tensorflow -it <Your Image ID> bash
 pip install -r requirements.txt --no-deps
 ```
 ### Dockerfile(方法二)
 ```
 cd resnet50_tensorflow/docker
 docker build --no-cache -t resnet50_tensorflow:latest .
-docker run --rm --shm-size 16g --network=host --name=resnet50_tensorflow --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $PWD/../../resnet50_tensorflow:/home/resnet50_tensorflow -it resnet50_tensorflow:latest bash
+docker run --rm --shm-size 16g --network=host --name=resnet50_tensorflow --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v /opt/hyhal:/opt/hyhal:ro -v $PWD/../../resnet50_tensorflow:/home/resnet50_tensorflow -it resnet50_tensorflow:latest bash
 
 ```
 ### Anaconda(方法三)
@@ -178,6 +178,6 @@ sed指令只需要执行一次，添加支持多卡运行的代码
 ## 源码仓库及问题反馈
 * https://developer.hpccube.com/codes/modelzoo/resnet50_tensorflow
 
-## 参考
+## 参考资料
 * https://github.com/tensorflow/models/tree/master
 * https://www.tensorflow.org/api_docs/python/tf/distribute/MultiWorkerMirroredStrategy