Forráskód Böngészése

update installation docs (#2372)

changdazhou 1 éve
szülő
commit
207c0b16e7

+ 6 - 6
docs/installation/installation.md

@@ -80,14 +80,14 @@ 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:paddlex3.0.0b1-paddlepaddle3.0.0b1-cpu /bin/bash
+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
 
 # 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:paddlex3.0.0b1-paddlepaddle3.0.0b1-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+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
 
 # 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:paddlex3.0.0b1-paddlepaddle3.0.0b1-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+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
 ```
 
 * 若您使用的 Docker 版本 <= 19.03 但 >= 17.06,请执行:
@@ -97,14 +97,14 @@ docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=hos
 
 ```bash
 # 对于 CPU 用户
-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b1-paddlepaddle3.0.0b1-cpu /bin/bash
+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
 
 # 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:paddlex3.0.0b1-paddlepaddle3.0.0b1-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+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
 
 # 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:paddlex3.0.0b1-paddlepaddle3.0.0b1-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+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
 ```
 
 </details>

+ 6 - 6
docs/installation/installation_en.md

@@ -72,14 +72,14 @@ 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:paddlex3.0.0b1-paddlepaddle3.0.0b1-cpu /bin/bash
+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
 
 # 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:paddlex3.0.0b1-paddlepaddle3.0.0b1-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+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
 
 # For CUDA12.3
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b1-paddlepaddle3.0.0b1-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+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
 ```
 
 * If your Docker version <= 19.03 and >= 17.06, please use:
@@ -89,14 +89,14 @@ docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=hos
 
 ```bash
 # For CPU
-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b1-paddlepaddle3.0.0b1-cpu /bin/bash
+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
 
 # For GPU
 # For CUDA11.8
-nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b1-paddlepaddle3.0.0b1-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+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
 
 # For CUDA12.3
-nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it registry.baidubce.com/paddlex/paddlex:paddlex3.0.0b1-paddlepaddle3.0.0b1-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+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
 ```
 
 </details>

+ 10 - 10
docs/installation/paddlepaddle_install.md

@@ -13,14 +13,14 @@
 
 ```bash
 # 对于 cpu 用户:
-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b1 /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.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:3.0.0b1-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+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
 
 # CUDA12.3 用户
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b1-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+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
 ```
 
 * 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
 
 ```bash
 # 对于 cpu 用户:
-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b1 /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.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:3.0.0b1-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+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
 
 # CUDA12.3 用户
-nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b1-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+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
 ```
 
 </details>
@@ -51,13 +51,13 @@ nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -i
 
 ```bash
 # cpu
-python -m pip install paddlepaddle==3.0.0b1 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
+python -m pip install paddlepaddle==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
 
 # gpu,该命令仅适用于 CUDA 版本为 11.8 的机器环境
-python -m pip install paddlepaddle-gpu==3.0.0b1 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
+python -m pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
 
 # gpu,该命令仅适用于 CUDA 版本为 12.3 的机器环境
-python -m pip install paddlepaddle-gpu==3.0.0b1 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/
+python -m pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/
 ```
 > ❗ **注**:更多飞桨 Wheel 版本请参考[飞桨官网](https://www.paddlepaddle.org.cn/install/quick?docurl=/documentation/docs/zh/install/pip/linux-pip.html)。
 
@@ -71,7 +71,7 @@ python -c "import paddle; print(paddle.__version__)"
 如果已安装成功,将输出以下内容:
 
 ```bash
-3.0.0-beta1
+3.0.0-beta2
 ```
 
 > ❗ **注**:如果在安装的过程中,出现任何问题,欢迎在Paddle仓库中[提Issue](https://github.com/PaddlePaddle/Paddle/issues)。

+ 10 - 10
docs/installation/paddlepaddle_install_en.md

@@ -11,14 +11,14 @@ 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:3.0.0b1 /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.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:3.0.0b1-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+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
 
 # CUDA 12.3 users
-docker run --gpus all --name paddlex -v $PWD:/paddle  --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b1-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+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
 ```
 
 * 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
 
 ```bash
 # For CPU users:
-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b1 /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it registry.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:3.0.0b1-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+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
 
 # CUDA 12.3 users
-nvidia-docker run --name paddlex -v $PWD:/paddle  --shm-size=8G --network=host -it registry.baidubce.com/paddlepaddle/paddle:3.0.0b1-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+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
 ```
 
 </details>
@@ -50,13 +50,13 @@ nvidia-docker run --name paddlex -v $PWD:/paddle  --shm-size=8G --network=host -
 
 ```bash
 # CPU
-python -m pip install paddlepaddle==3.0.0b1 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
+python -m pip install paddlepaddle==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
 
 # GPU, this command is only suitable for machines with CUDA version 11.8
-python -m pip install paddlepaddle-gpu==3.0.0b1 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
+python -m pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
 
 # GPU, this command is only suitable for machines with CUDA version 12.3
-python -m pip install paddlepaddle-gpu==3.0.0b1 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/
+python -m pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/
 ```
 Note: For more PaddlePaddle Wheel versions, please refer to the [PaddlePaddle official website](https://www.paddlepaddle.org.cn/install/quick?docurl=/documentation/docs/en/install/pip/linux-pip.html).
 
@@ -70,7 +70,7 @@ python -c "import paddle; print(paddle.__version__)"
 If the installation is successful, the following content will be output:
 
 ```bash
-3.0.0-beta1
+3.0.0-beta2
 ```
 
 > ❗ **Note**: If you encounter any issues during the installation process, feel free to [submit an issue](https://github.com/PaddlePaddle/Paddle/issues) in the Paddle repository.