update

Dockerfile

+# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+FROM=image.sourcefind.cn:5000/dcu/admin/base/custom:mlperf-maskrcnn-latest
+

README.md

@@ -20,6 +20,8 @@ ResNet50是一种用于图像识别的深度神经网络模型，该模型由一
 
 ## 环境配置
 
+**Docker (方法一)**
+
 提供[光源](https://www.sourcefind.cn/#/service-details)拉取的训练的docker镜像：
 
     docker pull image.sourcefind.cn:5000/dcu/admin/base/custom:mlperf-resnet50-mpirun-latest
@@ -28,6 +30,14 @@ ResNet50是一种用于图像识别的深度神经网络模型，该模型由一
     # <Container Path>容器映射路径
     docker run -it --name mlperf_bert --shm-size=32G  --device=/dev/kfd --device=/dev/dri/ --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --ulimit memlock=-1:-1 --ipc=host --network host --group-add video -v <Host Path>:<Container Path> <Image ID> /bin/bash
 
+**Dockerfile (方法二)**
+
+    docker build --no-cache -t mlperf_resnet50:latest
+    docker run -it --name mlperf_resnet50 --shm-size=32G  --device=/dev/kfd --device=/dev/dri/ --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --ulimit memlock=-1:-1 --ipc=host --network host --group-add video -v <Host Path>:<Container Path> <Image ID> /bin/bash
+    # <Image ID>用上面拉取docker镜像的ID替换
+    # <Host Path>主机端路径
+    # <Container Path>容器映射路径
+
 镜像版本依赖：
 
 * DTK驱动：dtk22.10.1
@@ -45,7 +55,7 @@ ResNet50是一种用于图像识别的深度神经网络模型，该模型由一
 
 具体处理方式可详见：https://github.com/mlcommons/training/tree/master/image_classification
 
-处理好的预训练模型结果如下：
+处理好的预训练模型结果如下，镜像中已经给出，无需额外下载
 
     mlperf_resnet50
     ├── checkpoint
@@ -90,7 +100,7 @@ bash 8dcu_multi.sh >& output.log &
 
 * https://developer.hpccube.com/codes/modelzoo/mlperf_resnet50_tensorflow
 
-## 参考
+## 参考资料
 
 * https://mlcommons.org/en/
 * https://github.com/mlcommons