update paddle related content in document

doc/backend.md

@@ -5,7 +5,7 @@
 DeePMD-kit supports multiple backends: TensorFlow and PyTorch.
 To use DeePMD-kit, you must install at least one backend.
 Each backend does not support all features.
-In the documentation, TensorFlow {{ tensorflow_icon }}, PyTorch {{ pytorch_icon }} and Paddle {{ paddle_icon }} icons are used to mark whether a backend supports a feature.
+In the documentation, TensorFlow {{ tensorflow_icon }}, PyTorch {{ pytorch_icon }}, and Paddle {{ paddle_icon }} icons are used to mark whether a backend supports a feature.
 
 ### TensorFlow {{ tensorflow_icon }}
 
@@ -42,7 +42,7 @@ Currently, this backend is developed actively, and has no support for training.
 
 [Paddle](https://www.paddlepaddle.org.cn/) version 3.0 or above is required.
 
-The `.pd` extension is used for model checkpoint storage, which is commonly utilized during training and testing in Python. The `.json` extension is for the model's computational graph in [PIR representation](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/guides/paddle_v3_features/paddle_ir_cn.html), while the `.pdiparams` extension stores model parameters. Both `.json` and `.pdiparams` files are exported together and used in model freezing and C++ inference.
+The `.pd` extension is used for model checkpoint storage, which is commonly utilized during training and testing in Python. The `.json` extension is for the model's computational graph in [PIR representation](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/guides/paddle_v3_features/paddle_ir_cn.html), while the `.pdiparams` extension stores model parameters. Both `.json` and `.pdiparams` files are exported together and used in model freezing and Python/C++ inference.
 
 ### DP {{ dpmodel_icon }}
 

doc/install/easy-install.md

@@ -193,7 +193,7 @@ Switch to the TensorFlow {{ tensorflow_icon }} tab for more information.
 ::::{tab-item} CUDA 12.3
 
 ```bash
-pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/
+pip install paddlepaddle-gpu==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/
 pip install deepmd-kit
 ```
 
@@ -202,7 +202,7 @@ pip install deepmd-kit
 ::::{tab-item} CUDA 11.8
 
 ```bash
-pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
+pip install paddlepaddle-gpu==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
 pip install deepmd-kit
 ```
 
@@ -211,7 +211,7 @@ pip install deepmd-kit
 ::::{tab-item} CPU
 
 ```bash
-pip install paddlepaddle==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
+pip install paddlepaddle==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
 pip install deepmd-kit
 ```
 

doc/install/install-from-source.md

@@ -99,11 +99,11 @@ To install Paddle, run
 
 ```sh
 # cu123
-pip install --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu123/
+pip install paddlepaddle-gpu==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/
 # cu118
-pip install --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu118/
+pip install paddlepaddle-gpu==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
 # cpu
-pip install --pre paddlepaddle -i https://www.paddlepaddle.org.cn/packages/nightly/cpu/
+pip install paddlepaddle==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
 ```
 
 :::
@@ -228,7 +228,7 @@ The path to the ROCM toolkit directory. If `ROCM_ROOT` is not set, it will look
 
 **Type**: Path; **Default**: None
 
-{{ paddle_icon }} The path to Paddle inference library, e.g. `/path/to/paddle_inference_install_dir`. If `DP_ENABLE_PADDLE` is enabled, it needs to be specified manually; otherwise, installation will fail.
+{{ paddle_icon }} The path to Paddle inference library, e.g. `/path/to/paddle_inference_install_dir`.
 :::
 
 :::{envvar} DP_ENABLE_NATIVE_OPTIMIZATION
@@ -358,13 +358,13 @@ download the TensorFlow C library from [this page](https://www.tensorflow.org/in
 
 If you want to use C++ interface of Paddle, you need to compile the Paddle inference library(C++ interface) manually from the [linux-compile-by-make](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/install/compile/linux-compile-by-make.html), then use the `.so` and `.a` files in `Paddle/build/paddle_inference_install_dir/`.
 
-We also provide a weekly-build Paddle C++ library for Linux x86_64 with CUDA 11.8/12.3/CPU below:
+We also provide a weekly-build Paddle C++ inference library for Linux x86_64 with CUDA 11.8/12.3/CPU below:
 
-[Cuda118_cudnn860_Trt8531_D1/latest/paddle_inference.tgz](https://paddle-qa.bj.bcebos.com/paddle-pipeline/GITHUB_Docker_Compile_Test_Cuda118_cudnn860_Trt8531_D1/latest/paddle_inference.tgz)
+CUDA 11.8: [Cuda118_cudnn860_Trt8531_D1/latest/paddle_inference.tgz](https://paddle-qa.bj.bcebos.com/paddle-pipeline/GITHUB_Docker_Compile_Test_Cuda118_cudnn860_Trt8531_D1/latest/paddle_inference.tgz)
 
-[Cuda123_cudnn900_Trt8616_D1/latest/paddle_inference.tgz](https://paddle-qa.bj.bcebos.com/paddle-pipeline/GITHUB_Docker_Compile_Test_Cuda123_cudnn900_Trt8616_D1/latest/paddle_inference.tgz)
+CUDA 12.3: [Cuda123_cudnn900_Trt8616_D1/latest/paddle_inference.tgz](https://paddle-qa.bj.bcebos.com/paddle-pipeline/GITHUB_Docker_Compile_Test_Cuda123_cudnn900_Trt8616_D1/latest/paddle_inference.tgz)
 
-[GITHUB_Docker_Compile_Test_Cpu_Mkl_Avx_D1/latest/paddle_inference.tgz](https://paddle-qa.bj.bcebos.com/paddle-pipeline/GITHUB_Docker_Compile_Test_Cpu_Mkl_Avx_D1/latest/paddle_inference.tgz)
+CPU: [GITHUB_Docker_Compile_Test_Cpu_Mkl_Avx_D1/latest/paddle_inference.tgz](https://paddle-qa.bj.bcebos.com/paddle-pipeline/GITHUB_Docker_Compile_Test_Cpu_Mkl_Avx_D1/latest/paddle_inference.tgz)
 
 :::