support 50 gpu install (#4465)

docs/installation/paddlepaddle_install.en.md

@@ -79,6 +79,27 @@ If the installation is successful, the following content will be output:
 3.0.0
 ```
 
+### Installation of PaddlePaddle Wheel Package for Windows with NVIDIA 50 Series GPUs
+
+The standard installation of PaddlePaddle does not fully support NVIDIA 50 series GPUs on Windows operating systems. Therefore, we provide a specially adapted PaddlePaddle package for this hardware environment. Please select the corresponding wheel file according to your Python version for installation.
+
+```bash
+# python 3.9
+python -m pip install https://paddle-qa.bj.bcebos.com/paddle-pipeline/Develop-TagBuild-Training-Windows-Gpu-Cuda12.9-Cudnn9.9-Trt10.5-Mkl-Avx-VS2019-SelfBuiltPypiUse/86d658f56ebf3a5a7b2b33ace48f22d10680d311/paddlepaddle_gpu-3.0.0.dev20250717-cp39-cp39-win_amd64.whl
+
+# python 3.10
+python -m pip install https://paddle-qa.bj.bcebos.com/paddle-pipeline/Develop-TagBuild-Training-Windows-Gpu-Cuda12.9-Cudnn9.9-Trt10.5-Mkl-Avx-VS2019-SelfBuiltPypiUse/86d658f56ebf3a5a7b2b33ace48f22d10680d311/paddlepaddle_gpu-3.0.0.dev20250717-cp310-cp310-win_amd64.whl
+
+# python 3.11
+python -m pip install https://paddle-qa.bj.bcebos.com/paddle-pipeline/Develop-TagBuild-Training-Windows-Gpu-Cuda12.9-Cudnn9.9-Trt10.5-Mkl-Avx-VS2019-SelfBuiltPypiUse/86d658f56ebf3a5a7b2b33ace48f22d10680d311/paddlepaddle_gpu-3.0.0.dev20250717-cp311-cp311-win_amd64.whl
+
+# python 3.12
+python -m pip install https://paddle-qa.bj.bcebos.com/paddle-pipeline/Develop-TagBuild-Training-Windows-Gpu-Cuda12.9-Cudnn9.9-Trt10.5-Mkl-Avx-VS2019-SelfBuiltPypiUse/86d658f56ebf3a5a7b2b33ace48f22d10680d311/paddlepaddle_gpu-3.0.0.dev20250717-cp312-cp312-win_amd64.whl
+```
+**Note:** The currently released PaddlePaddle wheel package for Windows systems with 50 series GPUs has known issues with text recognition model training, and related functionalities are still being adapted and improved.
+
+## Install the TensorRT Subgraph Engine
+
 If you want to use the [Paddle Inference TensorRT Subgraph Engine](https://www.paddlepaddle.org.cn/documentation/docs/en/guides/paddle_v3_features/paddle_trt_en.html), after installing Paddle, you need to refer to the [TensorRT Documentation](https://docs.nvidia.com/deeplearning/tensorrt/archives/index.html) to install the corresponding version of TensorRT:
 
 - For PaddlePaddle with CUDA 11.8, the compatible TensorRT version is 8.x (where x >= 6). PaddleX has completed compatibility tests of Paddle-TensorRT on TensorRT 8.6.1.6, so it is **strongly recommended to install TensorRT 8.6.1.6**.

docs/installation/paddlepaddle_install.md

@@ -58,7 +58,7 @@ python -m pip install /usr/local/TensorRT-*/python/tensorrt-*-cp310-none-linux_x
 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==3.0.0 -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 ≥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/
@@ -79,6 +79,30 @@ python -c "import paddle; print(paddle.__version__)"
 3.0.0
 ```
 
+### Windows 系统适配 NVIDIA 50 系显卡的 PaddlePaddle wheel 包安装
+
+通过以上方式安装的 PaddlePaddle 在 Windows 操作系统下无法正常支持 NVIDIA 50 系显卡。因此，我们提供了专门适配该硬件环境的 PaddlePaddle 安装包。请根据您的 Python 版本选择对应的 wheel 文件进行安装。
+
+
+```bash
+# python 3.9
+python -m pip install https://paddle-qa.bj.bcebos.com/paddle-pipeline/Develop-TagBuild-Training-Windows-Gpu-Cuda12.9-Cudnn9.9-Trt10.5-Mkl-Avx-VS2019-SelfBuiltPypiUse/86d658f56ebf3a5a7b2b33ace48f22d10680d311/paddlepaddle_gpu-3.0.0.dev20250717-cp39-cp39-win_amd64.whl
+
+# python 3.10
+python -m pip install https://paddle-qa.bj.bcebos.com/paddle-pipeline/Develop-TagBuild-Training-Windows-Gpu-Cuda12.9-Cudnn9.9-Trt10.5-Mkl-Avx-VS2019-SelfBuiltPypiUse/86d658f56ebf3a5a7b2b33ace48f22d10680d311/paddlepaddle_gpu-3.0.0.dev20250717-cp310-cp310-win_amd64.whl
+
+# python 3.11
+python -m pip install https://paddle-qa.bj.bcebos.com/paddle-pipeline/Develop-TagBuild-Training-Windows-Gpu-Cuda12.9-Cudnn9.9-Trt10.5-Mkl-Avx-VS2019-SelfBuiltPypiUse/86d658f56ebf3a5a7b2b33ace48f22d10680d311/paddlepaddle_gpu-3.0.0.dev20250717-cp311-cp311-win_amd64.whl
+
+# python 3.12
+python -m https://paddle-qa.bj.bcebos.com/paddle-pipeline/Develop-TagBuild-Training-Windows-Gpu-Cuda12.9-Cudnn9.9-Trt10.5-Mkl-Avx-VS2019-SelfBuiltPypiUse/86d658f56ebf3a5a7b2b33ace48f22d10680d311/paddlepaddle_gpu-3.0.0.dev20250717-cp312-cp312-win_amd64.whl
+```
+
+**注：** 当前发布的适用于 Windows 系统 50 系显卡的 PaddlePaddle wheel 包，其文本识别模型的训练存在已知问题，相关功能仍在持续适配和完善中。
+
+
+## 安装 TensorRT 子图引擎
+
 如果想要使用 [Paddle Inference TensorRT 子图引擎](https://www.paddlepaddle.org.cn/documentation/docs/zh/guides/paddle_v3_features/paddle_trt_cn.html)，在安装paddle后需参考 [TensorRT 文档](https://docs.nvidia.com/deeplearning/tensorrt/archives/index.html) 安装相应版本的 TensorRT：
 
 - 对于 CUDA 11.8 版本的飞桨，兼容的 TensorRT 版本为 8.x（x>=6）。PaddleX 已在 TensorRT 8.6.1.6 上完成了 Paddle-TensorRT 的兼容性测试，因此**强烈建议安装 TensorRT 8.6.1.6**。