update docker image tag

docs/installation/installation.en.md

@@ -132,14 +132,14 @@ If your Docker version >= 19.03, please use:
 
 ```bash
 # For CPU
-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-cpu /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-cpu /bin/bash
 
 # For GPU
 # For CUDA11.8
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
 
 # For CUDA12.3
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
 ```
 
 * If your Docker version <= 19.03 and >= 17.06, please use:
@@ -147,14 +147,14 @@ docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=hos
 <details><summary> Click Here</summary>
 
 <pre><code class="language-bash"># For CPU
-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-cpu /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-cpu /bin/bash
 
 # For GPU
 # For CUDA11.8
-nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
 
 # For CUDA12.3
-nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
 </code></pre></details>
 
 * If your Docker version <= 17.06, please update your Docker.

docs/installation/installation.md

@@ -140,14 +140,14 @@ paddlex --install PaddleXXX  # 例如PaddleOCR
 
 ```bash
 # 对于 CPU 用户
-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-cpu /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-cpu /bin/bash
 
 # 对于 GPU 用户
 # 对于 CUDA11.8 用户
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
 
 # 对于 CUDA12.3 用户
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
 ```
 
 * 若您使用的 Docker 版本 <= 19.03 但 >= 17.06，请执行：
@@ -155,14 +155,14 @@ docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=hos
 <details><summary> 点击展开</summary>
 
 <pre><code class="language-bash"># 对于 CPU 用户
-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-cpu /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-cpu /bin/bash
 
 # 对于 GPU 用户
 # 对于 CUDA11.8 用户
-nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
 
 # 对于 CUDA12.3 用户
-nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0b2-paddlepaddle3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
 </code></pre></details>
 
 * 若您使用的 Docker 版本 <= 17.06，请升级 Docker 版本。

docs/installation/paddlepaddle_install.en.md

@@ -13,14 +13,14 @@ If your Docker version >= 19.03, please use:
 
 ```bash
 # For CPU users:
-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b2 /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2 /bin/bash
 
 # For GPU users:
 # CUDA 11.8 users
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
 
 # CUDA 12.3 users
-docker run --gpus all --name paddlex -v $PWD:/paddle  --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+docker run --gpus all --name paddlex -v $PWD:/paddle  --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
 ```
 
 * If your Docker version <= 19.03 and >= 17.06, please use:
@@ -28,14 +28,14 @@ docker run --gpus all --name paddlex -v $PWD:/paddle  --shm-size=8G --network=ho
 <details><summary> Click Here</summary>
 
 <pre><code class="language-bash"># For CPU users:
-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b2 /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2 /bin/bash
 
 # For GPU users:
 # CUDA 11.8 users
-nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
 
 # CUDA 12.3 users
-nvidia-docker run --name paddlex -v $PWD:/paddle  --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+nvidia-docker run --name paddlex -v $PWD:/paddle  --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
 </code></pre></details>
 
 * If your Docker version <= 17.06, please update your Docker.

docs/installation/paddlepaddle_install.md

@@ -15,14 +15,14 @@ comments: true
 
 ```bash
 # 对于 cpu 用户:
-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b2 /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2 /bin/bash
 
 # 对于 gpu 用户:
 # CUDA11.8 用户
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
 
 # CUDA12.3 用户
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
 ```
 
 * 若您使用的 Docker 版本 <= 19.03 但 >= 17.06，请执行：
@@ -30,14 +30,14 @@ docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8G --network=hos
 <details><summary> 点击展开</summary>
 
 <pre><code class="language-bash"># 对于 cpu 用户:
-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b2 /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2 /bin/bash
 
 # 对于 gpu 用户:
 # CUDA11.8 用户
-nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
 
 # CUDA12.3 用户
-nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0b2-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
 </code></pre></details>
 
 * 若您使用的 Docker 版本 <= 17.06，请升级 Docker 版本。