[dev]Update for 3.0rc1 (#3884)

* Update for release3.0-rc1

* update meta.py

README.md

@@ -31,7 +31,7 @@ PaddleX 3.0 是基于飞桨框架构建的低代码开发工具，它集成了
 | <img src="https://github.com/PaddlePaddle/PaddleX/assets/142379845/e3d97f4e-ab46-411c-8155-494c61492b0a" height="126px" width="180px"> | <img src="https://github.com/PaddlePaddle/PaddleX/assets/142379845/6e897bf6-35fe-45e6-a040-e9a1a20cfdf2" height="126px" width="180px"> | <img src="https://github.com/PaddlePaddle/PaddleX/assets/142379845/c54c66cc-da4f-4631-877b-43b0fbb192a6" height="126px" width="180px"> | <img src="https://github.com/PaddlePaddle/PaddleX/assets/142379845/0ce925b2-3776-4dde-8ce0-5156d5a2476e" height="126px" width="180px"> |
 
 ## 🌟 特性
-  🎨 **模型丰富一键调用**：将覆盖文本图像智能分析、OCR、目标检测、时序预测等多个关键领域的 **200+ 飞桨模型**整合为 **20 条模型产线**，通过极简的 Python API 一键调用，快速体验模型效果。同时支持 **20+ 单功能模块**，方便开发者进行模型组合使用。
+  🎨 **模型丰富一键调用**：将覆盖文本图像智能分析、OCR、目标检测、时序预测等多个关键领域的 **200+ 飞桨模型**整合为 **33 条模型产线**，通过极简的 Python API 一键调用，快速体验模型效果。同时支持 **38 种单功能模块**，方便开发者进行模型组合使用。
 
   🚀 **提高效率降低门槛**：实现基于统一命令和图形界面的模型**全流程开发**，打造大小模型结合、大模型半监督学习和多模型融合的[**8 条特色模型产线**](https://aistudio.baidu.com/intro/paddlex)，大幅度降低迭代模型的成本。
 
@@ -41,7 +41,22 @@ PaddleX 3.0 是基于飞桨框架构建的低代码开发工具，它集成了
 
 ## 📣 近期更新
 
-🔥🔥 **2025.2.14，PaddleX v3.0.0rc0 重磅升级。** 本次版本全面适配 PaddlePaddle 3.0rc0及以上版本，核心升级如下：
+🔥🔥 **2025.4.22，发布 PaddleX v3.0.0rc1 。** 本次版本全面适配 PaddlePaddle 3.0正式版，核心升级如下：
+
+- **全面适配飞桨框架3.0新特性**：支持编译器训练，训练命令通过追加 `-o Global.dy2st=True` 即可开启编译器训练，在 GPU 上，多数模型训练速度可提升 10% 以上，少部分模型训练速度可以提升 30% 以上。推理方面，模型整体适配飞桨 3.0 中间表示技术（PIR），拥有更加灵活的扩展能力和兼容性，静态图模型存储文件名由 `xxx.pdmodel` 改为 `xxx.json`。
+- **新增飞桨自研文档图像理解多模态大模型 PP-DocBee**：在学术界及内部业务场景文档理解评测榜单上，PP-DocBee 均达到同参数量级别模型的 SOTA 水平。可应用到财报、研报、合同、说明书、法律法规等文档 QA 场景。
+- **全面支持 ONNX 格式模型，支持通过Paddle2ONNX插件转换模型格式。**
+- **升级高性能推理：**
+    - **新增对 ONNX、OM 格式模型的支持：** PaddleX 可以根据需要智能选择模型格式；
+    - **扩展支持的产线和模块：** 所有静态图推理的单功能模块与产线均可使用高性能推理插件来提升推理性能；
+    - **支持 CLI、API、配置文件 3 种配置方式：** 支持更精细的配置，用户可以在子产线、子模块粒度启用和禁用高性能推理插件。
+
+- **多硬件支持扩展：**
+  - **NPU：昇腾全面验证的模型数量提升到 200 个。此外，通用 OCR、图像分类、目标检测等常用产线支持 OM 模型格式推理，推理速度能够提升 113.8%-226.4%，支持在 Atlas 200、Atlas 300 系列产品上推理部署。**
+  - **GCU：燧原正式纳入飞桨例行发版体系，完成了 PaddleX 生态适配。支持 90 个模型的训练和推理。**
+
+
+🔥 **2025.2.14，PaddleX v3.0.0rc0 重磅升级。** 本次版本全面适配 PaddlePaddle 3.0rc0及以上版本，核心升级如下：
 
 - **新增 12 条高价值产线，重磅推出自研 [通用版面解析v3产线](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.html)、[PP-ChatOCRv4-doc产线](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction_v4.html)、[表格识别v2产线](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/table_recognition_v2.html)**。此外新增了文档处理、旋转框检测、开放词汇检测/分割、视频分析、多语种语音识别、3D 等场景的产线。
 
@@ -545,25 +560,25 @@ PaddleX的各个产线均支持本地**快速推理**，部分模型支持在[AI
 
 ### 🛠️ 安装
 
-> ❗在安装 PaddleX 之前，请确保您已具备基本的 **Python 运行环境**（注：目前支持 Python 3.8 至 Python 3.12）。PaddleX 3.0-rc0 版本依赖的 PaddlePaddle 版本为 3.0.0rc0及以上版本，请在使用前务必保证版本的对应关系。
+> ❗在安装 PaddleX 之前，请确保您已具备基本的 **Python 运行环境**（注：目前支持 Python 3.8 至 Python 3.12）。PaddleX 3.0-rc1 版本依赖的 PaddlePaddle 版本为 3.0.0 及以上版本，请在使用前务必保证版本的对应关系。
 
 * **安装 PaddlePaddle**
 ```bash
 # CPU 版本
-python -m pip install paddlepaddle==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
+python -m pip install paddlepaddle==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
 
 # GPU 版本，需显卡驱动程序版本 ≥450.80.02（Linux）或 ≥452.39（Windows）
-python -m pip install paddlepaddle-gpu==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
+ python -m pip install paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
 
-# GPU 版本，需显卡驱动程序版本 ≥545.23.06（Linux）或 ≥545.84（Windows）
-python -m pip install paddlepaddle-gpu==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/
+# GPU 版本，需显卡驱动程序版本 ≥550.54.14（Linux）或 ≥550.54.14（Windows）
+ python -m pip install paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
 ```
 > ❗无需关注物理机上的 CUDA 版本，只需关注显卡驱动程序版本。更多飞桨 Wheel 版本信息，请参考[飞桨官网](https://www.paddlepaddle.org.cn/install/quick?docurl=/documentation./docs/zh/install/pip/linux-pip.html)。
 
 * **安装PaddleX**
 
 ```bash
-pip install https://paddle-model-ecology.bj.bcebos.com/paddlex/whl/paddlex-3.0.0rc0-py3-none-any.whl
+pip install paddlex==3.0rc1
 ```
 
 > ❗ 更多安装方式参考 [PaddleX 安装教程](https://paddlepaddle.github.io/PaddleX/latest/installation/installation.html)

README_en.md

@@ -34,7 +34,7 @@ PaddleX 3.0 is a low-code development tool for AI models built on the PaddlePadd
 
 ## 🌟 Why PaddleX ?
 
-  🎨 **Rich Models One-click Call**: Integrate over **200 PaddlePaddle models** covering multiple key areas such as OCR, object detection, and time series forecasting into **19 pipelines**. Experience the model effects quickly through easy Python API calls. Also supports **more than 20 modules** for easy model combination use by developers.
+  🎨 **Rich Models One-click Call**: Integrate over **200 PaddlePaddle models** covering multiple key areas such as OCR, object detection, and time series forecasting into **33 pipelines**. Experience the model effects quickly through easy Python API calls. Also supports **38 modules** for easy model combination use by developers.
 
   🚀 **High Efficiency and Low barrier of entry**: Achieve model **full-process development** based on graphical interfaces and unified commands, creating **8 featured model pipelines** that combine large and small models, semi-supervised learning of large models, and multi-model fusion, greatly reducing the cost of iterating models.
 
@@ -44,7 +44,21 @@ PaddleX 3.0 is a low-code development tool for AI models built on the PaddlePadd
 
 ## 📣 Recent Updates
 
-🔥🔥 **2025.2.14, PaddleX v3.0.0rc0 major upgrade.** This version fully adapts to PaddlePaddle 3.0.0rc and above, with the following core upgrades:
+🔥 **2025.4.22, PaddleX v3.0.0rc1 major upgrade.** This version fully adapts to PaddlePaddle 3.0.0, with the following core upgrades:
+
+- **Adapts to New Features of PaddlePaddle 3.0**: Supports compiler training, which can be enabled by appending `-o Global.dy2st=True` to the training command. On GPUs, the training speed of most models can be improved by over 10%, and for a few models, the improvement can exceed 30%. For inference, the models are fully adapted to PaddlePaddle 3.0's Intermediate Representation (PIR) technology, offering more flexible extensibility and compatibility. The file names for inference model have been changed from `xxx.pdmodel` to `xxx.json`.
+- **Newly Added Self-developed MLLM for Document Image Understanding, PP-DocBee**: PP-DocBee has achieved SOTA performance among models with similar parameter sizes on academic and internal business scenario document understanding evaluation benchmarks. It can be applied to document QA scenarios such as financial reports, research reports, contracts, manuals, and legal regulations.
+- **Full Support for ONNX Format Models, with Support for Model Format Conversion via the Paddle2ONNX Plugin.**
+- **Enhanced High-Performance Inference**:
+    - **Added Support for ONNX and OM Format Models**: PaddleX can intelligently select the model format based on needs;
+    - **Expanded Supported Pipelines and Modules**: All single modules and pipelines for inference model can use the high-performance inference plugin to improve inference performance;
+    - **Support for 3 Configuration Methods: CLI, API, and Configuration Files**: Enables more granular configuration, allowing users to enable and disable the high-performance inference plugin at the sub-pipeline and sub-module level.
+
+- **Expanded Multi-Hardware Support**:
+  - **NPU: The number of models fully validated on Ascend NPU has increased to 200. Additionally, common pipelines such as general OCR, image classification, and object detection support OM model format inference, with inference speed improvements ranging from 113.8% to 226.4%. Inference deployment is supported on Atlas 200 and Atlas 300 series products.**
+  - **GCU: Enflame has been officially integrated into the PaddlePaddle regular release system, completing the adaptation of the PaddleX ecosystem. Supports the training and inference of 90 models.**
+
+🔥 **2025.2.14, PaddleX v3.0.0rc0 major upgrade.** This version fully adapts to PaddlePaddle 3.0.0rc and above, with the following core upgrades:
 
 - **Added 12 high-value pipelines, launching self-developed [PP-StructureV3 Pipeline](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.html), [PP-ChatOCRv4-doc Pipeline](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction_v4.html), [Table Recognition v2 Pipeline](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/table_recognition_v2.html)**. Additionally, new pipelines for document processing, rotated box detection, open vocabulary detection/segmentation, video analysis, multilingual speech recognition, 3D, and other scenarios have been added.
 
@@ -543,26 +557,26 @@ In addition, PaddleX provides developers with a full-process efficient model tra
 
 ### 🛠️ Installation
 
-> ❗Before installing PaddleX, please ensure that you have a basic **Python runtime environment** (Note: Currently supports Python 3.8 to Python 3.12). The PaddleX 3.0-rc0 version depends on PaddlePaddle version 3.0.0rc0 and above. Please make sure the version compatibility is maintained before use.
+> ❗Before installing PaddleX, please ensure that you have a basic **Python runtime environment** (Note: Currently supports Python 3.8 to Python 3.12). The PaddleX 3.0-rc1 version depends on PaddlePaddle version 3.0.0 and above. Please make sure the version compatibility is maintained before use.
 
 * **Installing PaddlePaddle**
 
 ```bash
 # CPU
-python -m pip install paddlepaddle==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
+python -m pip install paddlepaddle==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
 
 # gpu，requires GPU driver version ≥450.80.02 (Linux) or ≥452.39 (Windows)
-python -m pip install paddlepaddle-gpu==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
+ python -m pip install paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
 
-# gpu，requires GPU driver version ≥545.23.06 (Linux) or ≥545.84 (Windows)
-python -m pip install paddlepaddle-gpu==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/
+# gpu，requires GPU driver version ≥550.54.14 (Linux) or ≥550.54.14 (Windows)
+ python -m pip install paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
 ```
 > ❗No need to focus on the CUDA version on the physical machine, only the GPU driver version needs attention. For more information on 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).
 
 * **Installing PaddleX**
 
 ```bash
-pip install https://paddle-model-ecology.bj.bcebos.com/paddlex/whl/paddlex-3.0.0rc0-py3-none-any.whl
+pip install paddlex==3.0.0rc1
 ```
 
 > ❗For more installation methods, refer to the [PaddleX Installation Guide](https://paddlepaddle.github.io/PaddleX/latest/en/installation/installation.html).

docs/CHANGLOG.en.md

@@ -5,6 +5,23 @@ comments: true
 # Version Update Information
 
 ## Latest Version Information
+
+### PaddleX v3.0.0rc1(4.22/2025)
+
+This version fully adapts to PaddlePaddle 3.0.0, with the following core upgrades:
+
+- **Adapts to New Features of PaddlePaddle 3.0**: Supports compiler training, which can be enabled by appending `-o Global.dy2st=True` to the training command. On GPUs, the training speed of most models can be improved by over 10%, and for a few models, the improvement can exceed 30%. For inference, the models are fully adapted to PaddlePaddle 3.0's Intermediate Representation (PIR) technology, offering more flexible extensibility and compatibility. The file names for inference model have been changed from `xxx.pdmodel` to `xxx.json`.
+- **Newly Added Self-developed MLLM for Document Image Understanding, PP-DocBee**: PP-DocBee has achieved SOTA performance among models with similar parameter sizes on academic and internal business scenario document understanding evaluation benchmarks. It can be applied to document QA scenarios such as financial reports, research reports, contracts, manuals, and legal regulations.
+- **Full Support for ONNX Format Models, with Support for Model Format Conversion via the Paddle2ONNX Plugin.**
+- **Enhanced High-Performance Inference**:
+    - **Added Support for ONNX and OM Format Models**: PaddleX can intelligently select the model format based on needs;
+    - **Expanded Supported Pipelines and Modules**: All single modules and pipelines for inference model can use the high-performance inference plugin to improve inference performance;
+    - **Support for 3 Configuration Methods: CLI, API, and Configuration Files**: Enables more granular configuration, allowing users to enable and disable the high-performance inference plugin at the sub-pipeline and sub-module level.
+
+- **Expanded Multi-Hardware Support**:
+  - **NPU: The number of models fully validated on Ascend NPU has increased to 200. Additionally, common pipelines such as general OCR, image classification, and object detection support OM model format inference, with inference speed improvements ranging from 113.8% to 226.4%. Inference deployment is supported on Atlas 200 and Atlas 300 series products.**
+  - **GCU: Enflame has been officially integrated into the PaddlePaddle regular release system, completing the adaptation of the PaddleX ecosystem. Supports the training and inference of 90 models.**
+
 ### PaddleX v3.0.0rc0(2.14/2025)
 
 PaddleX 3.0 rc0 is fully compatible with PaddlePaddle 3.0rc0 version, adding 10+ pipelines, 40+ models, optimizing model and pipeline APIs, and adapting more models to multiple hardware. The high-performance inference and serving capabilities have been comprehensively upgraded. The specific new features are as follows:

docs/CHANGLOG.md

@@ -5,6 +5,23 @@ comments: true
 # 版本更新信息
 
 ## 最新版本信息
+### PaddleX v3.0.0rc1(4.22/2025)
+
+本次版本全面适配 PaddlePaddle 3.0 正式版，核心升级如下：
+
+- **全面适配飞桨框架3.0新特性**：支持编译器训练，训练命令通过追加 `-o Global.dy2st=True` 即可开启编译器训练，在 GPU 上，多数模型训练速度可提升 10% 以上，少部分模型训练速度可以提升 30% 以上。推理方面，模型整体适配飞桨 3.0 中间表示技术（PIR），拥有更加灵活的扩展能力和兼容性，静态图模型存储文件名由 `xxx.pdmodel` 改为 `xxx.json`。
+- **新增飞桨自研文档图像理解多模态大模型 PP-DocBee**：在学术界及内部业务场景文档理解评测榜单上，PP-DocBee 均达到同参数量级别模型的 SOTA 水平。可应用到财报、研报、合同、说明书、法律法规等文档 QA 场景。
+- **全面支持 ONNX 格式模型，支持通过Paddle2ONNX插件转换模型格式。**
+- **升级高性能推理：**
+    - **新增对 ONNX、OM 格式模型的支持：** PaddleX 可以根据需要智能选择模型格式；
+    - **扩展支持的产线和模块：** 所有静态图推理的单功能模块与产线均可使用高性能推理插件来提升推理性能；
+    - **支持 CLI、API、配置文件 3 种配置方式：** 支持更精细的配置，用户可以在子产线、子模块粒度启用和禁用高性能推理插件。
+
+- **多硬件支持扩展：**
+  - **NPU：昇腾全面验证的模型数量提升到 200 个。此外，通用 OCR、图像分类、目标检测等常用产线支持 OM 模型格式推理，推理速度能够提升 113.8%-226.4%，支持在 Atlas 200、Atlas 300 系列产品上推理部署。**
+  - **GCU：燧原正式纳入飞桨例行发版体系，完成了 PaddleX 生态适配。支持 90 个模型的训练和推理。**
+
+
 ### PaddleX v3.0.0rc0(2.14/2025)
 PaddleX 3.0 rc0 全面适配 PaddlePaddle 3.0rc0 版本，新增10+条产线，40+个模型，优化模型和产线API，多硬件适配更多模型。全面升级高性能推理和服务化部署能力。具体新增能力如下：
 

docs/index.en.md

@@ -99,23 +99,24 @@ PaddleX 3.0 is a low-code development tool for AI models built on the PaddlePadd
 ## 🛠️ Installation
 
 !!! warning
-    Before installing PaddleX, please ensure that you have a basic <b>Python runtime environment</b> (Note: Currently supports <b>Python 3.8 to Python 3.12</b>). The PaddleX 3.0-rc0 version depends on PaddlePaddle version <b>3.0.0rc0</b> and above.
+    Before installing PaddleX, please ensure that you have a basic <b>Python runtime environment</b> (Note: Currently supports <b>Python 3.8 to Python 3.12</b>). The PaddleX 3.0-rc1 version depends on PaddlePaddle version <b>3.0.0</b> and above.
 
 ### Installing PaddlePaddle
 
 === "CPU version"
     ```bash
-    python -m pip install paddlepaddle==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
+    python -m pip install paddlepaddle==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
     ```
 === "GPU version, requiring a GPU driver version ≥450.80.02 (Linux) or ≥452.39 (Windows)."
     ```bash
-    python -m pip install paddlepaddle-gpu==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
+    python -m pip install paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
     ```
-=== "GPU version, requiring a GPU driver version ≥545.23.06 (Linux) or ≥545.84 (Windows)."
+=== "GPU version, requiring a GPU driver version ≥550.54.14 (Linux) or ≥550.54.14 (Windows)."
     ```bash
-    python -m pip install paddlepaddle-gpu==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/
+    python -m pip install paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
     ```
 
+
 !!! tip
     There is no need to pay attention to the CUDA version on the physical machine; just focus on the GPU driver version. For more information on PaddlePaddle Wheel versions, please refer to the [PaddlePaddle Official Website](https://www.paddlepaddle.org.cn/install/quick?docurl=/documentation./docs/zh/install/pip/linux-pip.html).
 
@@ -123,7 +124,7 @@ PaddleX 3.0 is a low-code development tool for AI models built on the PaddlePadd
 ### Installing PaddleX
 
 ```bash
-pip install https://paddle-model-ecology.bj.bcebos.com/paddlex/whl/paddlex-3.0.0rc0-py3-none-any.whl
+pip install paddlex==3.0.0rc1
 ```
 
 > ❗ For more installation methods, please refer to the [PaddleX Installation Guide](https://paddlepaddle.github.io/PaddleX/latest/installation/installation.html)

docs/index.md

@@ -100,21 +100,21 @@ PaddleX 3.0 是基于飞桨框架构建的低代码开发工具，它集成了
 ## 🛠️ 安装
 
 !!! warning
-    在安装 PaddleX 之前，请确保您已具备基本的 <b>Python 运行环境</b>（注：目前支持 <b>Python 3.8 至 Python 3.12</b>）。PaddleX 3.0-rc0 版本依赖的 PaddlePaddle 版本为 <b>3.0.0rc0以上版本</b>。
+    在安装 PaddleX 之前，请确保您已具备基本的 <b>Python 运行环境</b>（注：目前支持 <b>Python 3.8 至 Python 3.12</b>）。PaddleX 3.0-rc1 版本依赖的 PaddlePaddle 版本为 <b>3.0.0以上版本</b>。
 
 ### 安装 PaddlePaddle
 
 === "CPU 版本"
     ```bash
-    python -m pip install paddlepaddle==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
+    python -m pip install paddlepaddle==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
     ```
 === "GPU 版本，需显卡驱动程序版本 ≥450.80.02（Linux）或 ≥452.39（Windows）"
     ```bash
-    python -m pip install paddlepaddle-gpu==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
+     python -m pip install paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
     ```
-=== "GPU 版本，需显卡驱动程序版本 ≥545.23.06（Linux）或 ≥545.84（Windows）"
+=== "GPU 版本，需显卡驱动程序版本 ≥550.54.14（Linux）或 ≥550.54.14（Windows）"
     ```bash
-    python -m pip install paddlepaddle-gpu==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/
+    python -m pip install paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
     ```
 
 !!!tip
@@ -125,7 +125,7 @@ PaddleX 3.0 是基于飞桨框架构建的低代码开发工具，它集成了
 ### 安装PaddleX
 
 ```bash
-pip install https://paddle-model-ecology.bj.bcebos.com/paddlex/whl/paddlex-3.0.0rc0-py3-none-any.whl
+pip install paddlex==3.0.0rc1
 ```
 
 > ❗ 更多安装方式参考 [PaddleX 安装教程](https://paddlepaddle.github.io/PaddleX/latest/installation/installation.html)

docs/installation/installation.en.md

@@ -17,7 +17,7 @@ After installing PaddlePaddle (refer to the [PaddlePaddle Local Installation Tut
 > ❗ <b>Note</b>: Please ensure that PaddlePaddle is successfully installed before proceeding to the next step.
 
 ```bash
-pip install "https://paddle-model-ecology.bj.bcebos.com/paddlex/whl/paddlex-3.0.0rc0-py3-none-any.whl[base]"
+pip install paddlex==3.0.0rc1
 ```
 
 ### 1.2 Plugin Installation Mode
@@ -132,14 +132,10 @@ If your Docker version >= 19.03, please use:
 
 ```bash
 # For CPU
-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc0-paddlepaddle3.0.0rc0-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:paddlex3.0.0rc1-paddlepaddle3.0.0-cpu /bin/bash
 
-# For GPU
-# For CUDA11.8
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc0-paddlepaddle3.0.0rc0-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 ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc0-paddlepaddle3.0.0rc0-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+# gpu，requires GPU driver version ≥450.80.02 (Linux) or ≥452.39 (Windows)
+docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc1-paddlepaddle3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6 /bin/bash
 ```
 
 * If your Docker version <= 19.03 and >= 17.06, please use:
@@ -147,19 +143,17 @@ 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 ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc0-paddlepaddle3.0.0rc0-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:paddlex3.0.0rc1-paddlepaddle3.0.0-cpu /bin/bash
 
 # For GPU
-# For CUDA11.8
-nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc0-paddlepaddle3.0.0rc0-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+# gpu，requires GPU driver version ≥450.80.02 (Linux) or ≥452.39 (Windows)
+nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc1-paddlepaddle3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6 /bin/bash
 
-# For CUDA12.3
-nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc0-paddlepaddle3.0.0rc0-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
 </code></pre></details>
 
 * If your Docker version <= 17.06, please update your Docker.
 
-* If you want to delve deeper into the principles or usage of Docker, please refer to the [Docker Official Website](https://www.docker.com/) or the [Docker Official Tutorial](https://docs.docker.com/get-started/).
+* If you want to delve deeper into the principles or usage of Docker, please refer to the [Docker Official Website](https://www.docker.com/) or the [Docker Official Tutorial](https://docs.docker.com/get-started/). Support for CUDA 12 and above is currently in progress. Stay tuned.
 
 ### 2.2 Custom Installation of PaddleX
 Before installation, please ensure you have completed the local installation of PaddlePaddle by referring to the [PaddlePaddle Local Installation Tutorial](paddlepaddle_install.en.md).

docs/installation/installation.md

@@ -19,7 +19,7 @@ PaddleX为您提供了两种安装模式：<b>Wheel包安装</b>和<b>插件安
 > ❗ 注：请务必保证 PaddlePaddle 安装成功，安装成功后，方可进行下一步。
 
 ```bash
-pip install "https://paddle-model-ecology.bj.bcebos.com/paddlex/whl/paddlex-3.0.0rc0-py3-none-any.whl[base]"
+pip install paddlex==3.0.0rc1
 ```
 
 ### 1.2 插件安装模式
@@ -141,14 +141,11 @@ 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 ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc0-paddlepaddle3.0.0rc0-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:paddlex3.0.0rc1-paddlepaddle3.0.0-cpu /bin/bash
 
 # 对于 GPU 用户
 # GPU 版本，需显卡驱动程序版本 ≥450.80.02（Linux）或 ≥452.39（Windows）
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc0-paddlepaddle3.0.0rc0-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
-
-# GPU 版本，需显卡驱动程序版本 ≥545.23.06（Linux）或 ≥545.84（Windows）
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc0-paddlepaddle3.0.0rc0-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:paddlex3.0.0rc1-paddlepaddle3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6 /bin/bash
 ```
 
 * 若您使用的 Docker 版本 <= 19.03 但 >= 17.06，请执行：
@@ -156,19 +153,17 @@ 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 ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc0-paddlepaddle3.0.0rc0-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:paddlex3.0.0rc1-paddlepaddle3.0.0-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 ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc0-paddlepaddle3.0.0rc0-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+# GPU 版本，需显卡驱动程序版本 ≥450.80.02（Linux）或 ≥452.39（Windows）
+nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8g --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc1-paddlepaddle3.0.0-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 ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlex/paddlex:paddlex3.0.0rc0-paddlepaddle3.0.0rc0-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。
 
-* 若您想更深入了解 Docker 的原理或使用方式，请参考 [Docker官方网站](https://www.docker.com/) 或 [Docker官方教程](https://docs.docker.com/get-started/)。
+* 若您想更深入了解 Docker 的原理或使用方式，请参考 [Docker官方网站](https://www.docker.com/) 或 [Docker官方教程](https://docs.docker.com/get-started/)。CUDA12以上版本正在支持中，敬请期待。
 
 ### 2.2 自定义方式安装PaddleX
 在安装之前，请确保您已经参考[飞桨PaddlePaddle本地安装教程](paddlepaddle_install.md)完成飞桨的本地安装。

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 ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0rc0 /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0 /bin/bash
 
 # For GPU users:
-# CUDA 11.8 users
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0rc0-gpu-cuda11.8-cudnn8.6-trt8.5 /bin/bash
+# gpu，requires GPU driver version ≥450.80.02 (Linux) or ≥452.39 (Windows)
+docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6 /bin/bash
 
-# CUDA 12.3 users
-docker run --gpus all --name paddlex -v $PWD:/paddle  --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0rc0-gpu-cuda12.3-cudnn9.0-trt8.6 /bin/bash
+# gpu，requires GPU driver version ≥550.54.14 (Linux) or ≥550.54.14 (Windows)
+docker run --gpus all --name paddlex -v $PWD:/paddle  --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5 /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 ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0rc0 /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0 /bin/bash
 
 # For GPU users:
 # CUDA 11.8 users
-nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0rc0-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:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6 /bin/bash
 
 # CUDA 12.3 users
-nvidia-docker run --name paddlex -v $PWD:/paddle  --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0rc0-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:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5 /bin/bash
 </code></pre></details>
 
 * If your Docker version <= 17.06, please update your Docker.
@@ -54,15 +54,16 @@ python -m pip install /usr/local/TensorRT-8.6.1.6/python/tensorrt-8.6.1-cp310-no
 
 ```bash
 # CPU
-python -m pip install paddlepaddle==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
+python -m pip install paddlepaddle==3.0.0 -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==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
+# gpu，requires GPU driver version ≥450.80.02 (Linux) or ≥452.39 (Windows)
+ python -m pip install paddlepaddle-gpu==3.0.0 -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==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/
+# gpu，requires GPU driver version ≥550.54.14 (Linux) or ≥550.54.14 (Windows)
+ python -m pip install paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
 ```
 
+
 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).
 
 <b>For installing PaddlePaddle on other hardware, please refer to</b> [PaddleX Multi-hardware Usage Guide](../other_devices_support/multi_devices_use_guide.en.md).

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 ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0rc0 /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0 /bin/bash
 
 # 对于 gpu 用户:
 # GPU 版本，需显卡驱动程序版本 ≥450.80.02（Linux）或 ≥452.39（Windows）
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0rc0-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:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6 /bin/bash
 
 # GPU 版本，需显卡驱动程序版本 ≥545.23.06（Linux）或 ≥545.84（Windows）
-docker run --gpus all --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0rc0-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:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5 /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 ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0rc0 /bin/bash
+docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0 /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 ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0rc0-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:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6 /bin/bash
 
 # CUDA12.3 用户
-nvidia-docker run --name paddlex -v $PWD:/paddle --shm-size=8G --network=host -it ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0rc0-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:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5 /bin/bash
 </code></pre></details>
 
 * 若您使用的 Docker 版本 <= 17.06，请升级 Docker 版本。
@@ -54,14 +54,14 @@ python -m pip install /usr/local/TensorRT-8.6.1.6/python/tensorrt-8.6.1-cp310-no
 <b>若您通过 pip 安装</b>，请参考下述命令，用 pip 在当前环境中安装飞桨 PaddlePaddle：
 
 ```bash
-# cpu
-python -m pip install paddlepaddle==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
+# CPU 版本
+python -m pip install paddlepaddle==3.0.0 -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==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
+# GPU 版本，需显卡驱动程序版本 ≥450.80.02（Linux）或 ≥452.39（Windows）
+ python -m pip install paddlepaddle-gpu==3.0.0 -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==3.0.0rc0 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/
+# GPU 版本，需显卡驱动程序版本 ≥550.54.14（Linux）或 ≥550.54.14（Windows）
+ python -m pip install paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
 ```
 
 > ❗ <b>注</b>：无需关注物理机上的 CUDA 版本，只需关注显卡驱动程序版本。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)。

docs/pipeline_usage/tutorials/vlm_pipelines/doc_understanding.en.md

@@ -19,12 +19,12 @@ The Document Understanding Pipeline is an advanced document processing technolog
 <th>Description</th>
 </tr>
 <tr>
-<td>PP-DocBee-2B</td><td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0rc0/PP-DocBee-2B_infer.tar">Inference Model</a></td>
+<td>PP-DocBee-2B</td><td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocBee-2B_infer.tar">Inference Model</a></td>
 <td>4.2</td>
 <td rowspan="2">PP-DocBee is a self-developed multimodal large model by the PaddlePaddle team, focusing on document understanding with excellent performance on Chinese document understanding tasks. The model is fine-tuned with nearly 5 million multimodal datasets for document understanding, including general VQA, OCR, chart, text-rich documents, mathematics and complex reasoning, synthetic data, and pure text data, with different training data ratios. On several authoritative English document understanding evaluation benchmarks in academia, PP-DocBee has achieved SOTA for models of the same parameter scale. In internal business Chinese scenarios, PP-DocBee also outperforms current popular open and closed-source models.</td>
 </tr>
 <tr>
-<td>PP-DocBee-7B</td><td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0rc0/PP-DocBee-7B_infer.tar">Inference Model</a></td>
+<td>PP-DocBee-7B</td><td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocBee-7B_infer.tar">Inference Model</a></td>
 <td>15.8</td>
 </tr>
 </table>

docs/pipeline_usage/tutorials/vlm_pipelines/doc_understanding.md

@@ -22,12 +22,12 @@ comments: true
 <th>介绍</th>
 </tr>
 <tr>
-<td>PP-DocBee-2B</td><td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0rc0/PP-DocBee-2B_infer.tar">推理模型</a></td>
+<td>PP-DocBee-2B</td><td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocBee-2B_infer.tar">推理模型</a></td>
 <td>4.2</td>
 <td rowspan="2">PP-DocBee 是飞桨团队自研的一款专注于文档理解的多模态大模型，在中文文档理解任务上具有卓越表现。该模型通过近 500 万条文档理解类多模态数据集进行微调优化，各种数据集包括了通用VQA类、OCR类、图表类、text-rich文档类、数学和复杂推理类、合成数据类、纯文本数据等，并设置了不同训练数据配比。在学术界权威的几个英文文档理解评测榜单上，PP-DocBee基本都达到了同参数量级别模型的SOTA。在内部业务中文场景类的指标上，PP-DocBee也高于目前的热门开源和闭源模型。</td>
 </tr>
 <tr>
-<td>PP-DocBee-7B</td><td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0rc0/PP-DocBee-7B_infer.tar">推理模型</a></td>
+<td>PP-DocBee-7B</td><td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/PP-DocBee-7B_infer.tar">推理模型</a></td>
 <td>15.8</td>
 </tr>
 </table>

mkdocs.yml

@@ -240,7 +240,7 @@ plugins:
             FAQ: FAQ
             近期更新: Recently Update
       repository: PaddlePaddle/PaddleX #仓库名称
-      branch: release/3.0-rc #仓库分支
+      branch: release/3.0-rc1 #仓库分支
   - git-revision-date-localized: #显示更新时间
       enable_creation_date: true
 

paddlex/__init__.py

@@ -42,7 +42,8 @@ def _initialize():
     if flags.EAGER_INITIALIZATION:
         repo_manager.initialize()
 
-    __version__ = version.get_pdx_version()
+
+__version__ = version.get_pdx_version()
 
 
 _initialize()