ソースを参照

Fix serving doc (#3897)

Lin Manhui 6 ヶ月 前
コミット
c674d2e493
2 ファイル変更4 行追加4 行削除
  1. 2 2
      docs/pipeline_deploy/serving.en.md
  2. 2 2
      docs/pipeline_deploy/serving.md

+ 2 - 2
docs/pipeline_deploy/serving.en.md

@@ -308,13 +308,13 @@ First, pull the Docker image as needed:
 - Image supporting deployment with NVIDIA GPU (the machine must have NVIDIA drivers that support CUDA 11.8 installed):
 - Image supporting deployment with NVIDIA GPU (the machine must have NVIDIA drivers that support CUDA 11.8 installed):
 
 
     ```bash
     ```bash
-    docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/hps:paddlex3.0.0rc0-gpu
+    docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/hps:paddlex3.0.0rc1-gpu
     ```
     ```
 
 
 - CPU-only Image:
 - CPU-only Image:
 
 
     ```bash
     ```bash
-    docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/hps:paddlex3.0.0rc0-cpu
+    docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/hps:paddlex3.0.0rc1-cpu
     ```
     ```
 
 
 With the image prepared, navigate to the `server` directory and execute the following command to run the server:
 With the image prepared, navigate to the `server` directory and execute the following command to run the server:

+ 2 - 2
docs/pipeline_deploy/serving.md

@@ -308,13 +308,13 @@ paddlex --serve --pipeline image_classification --use_hpip
 - 支持使用 NVIDIA GPU 部署的镜像(机器上需要安装有支持 CUDA 11.8 的 NVIDIA 驱动):
 - 支持使用 NVIDIA GPU 部署的镜像(机器上需要安装有支持 CUDA 11.8 的 NVIDIA 驱动):
 
 
     ```bash
     ```bash
-    docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/hps:paddlex3.0.0rc0-gpu
+    docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/hps:paddlex3.0.0rc1-gpu
     ```
     ```
 
 
 - CPU-only 镜像:
 - CPU-only 镜像:
 
 
     ```bash
     ```bash
-    docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/hps:paddlex3.0.0rc0-cpu
+    docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/hps:paddlex3.0.0rc1-cpu
     ```
     ```
 
 
 准备好镜像后,切换到 `server` 目录,执行如下命令运行服务器:
 准备好镜像后,切换到 `server` 目录,执行如下命令运行服务器: