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[Docs] Update docs for release/2.5 (#7267)

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* Update docs for release/2.5

* Update English docs for release/2.5

- Update README_EN.md: add v2.5 news entry, reformat v2.4 entry with release link
- Update docs/get_started/installation/nvidia_gpu.md:
  - Docker image: 2.4.0 -> 2.5.0, notice now shows SM80/86/89/90 support
  - paddlepaddle-gpu: 3.3.0 -> 3.3.1, add CUDA 12.9 alternatives
  - fastdeploy-gpu: 2.4.0 -> 2.5.0, unified arch install with CUDA 12.9 option
- Update docs/zh/get_started/installation/nvidia_gpu.md:
  - Fix remaining paddlepaddle-gpu==3.3.0 refs in sections 4&5 -> 3.3.1

Agent-Logs-Url: https://github.com/PaddlePaddle/FastDeploy/sessions/fa0be381-324e-4b0d-b7a6-e2c1fa12174f

Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com>

* Clarify --extra-index-url usage in installation docs

Add note explaining that --extra-index-url is only for downloading
fastdeploy-gpu dependencies; fastdeploy-gpu itself must be installed
from the Paddle source specified by -i. Applied to both Chinese and
English nvidia_gpu.md installation guides.

Agent-Logs-Url: https://github.com/PaddlePaddle/FastDeploy/sessions/9fa8b3c9-7555-4eae-b9b9-026cddd7e74c

Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com>

* Update nvidia_gpu.md

---------

Co-authored-by: jiang-jia-jun <jiangjiajun@baidu.com>
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
This commit is contained in:
Jiang-Jia-Jun
2026-04-09 16:07:18 +08:00
committed by GitHub
parent 85c6773e6c
commit 33682c6749
4 changed files with 50 additions and 44 deletions
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docs/zh/get_started/installation/nvidia_gpu.md
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@@ -14,10 +14,10 @@
## 1. 预编译Docker安装(推荐)
**注意**： 如下镜像仅支持SM 80/90架构GPU（A800/H800等），如果你是在L20/L40/4090等SM 86/89架构的GPU上部署，请在创建容器后，卸载```fastdeploy-gpu```再重新安装如下文档指定支持86/89架构的`fastdeploy-gpu`包。
**注意**： 预编译镜像支持 80/86/89/90 架构的GPU硬件 (如 A800/H800/L20/L40/4090)。
``` shell
docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.4.0
docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.5.0
```
## 2. 预编译Pip安装
@@ -26,32 +26,33 @@ docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12
``` shell
# Install stable release
python -m pip install paddlepaddle-gpu==3.3.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
# CUDA 12.6
python -m pip install paddlepaddle-gpu==3.3.1 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
# CUDA 12.9
python -m pip install paddlepaddle-gpu==3.3.1 -i https://www.paddlepaddle.org.cn/packages/stable/cu129/
# Install latest Nightly build
# CUDA 12.6
python -m pip install --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu126/
# CUDA 12.9
python -m pip install --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu129/
```
再安装 fastdeploy，**注意不要通过pypi源安装**，需要通过如下方式安装
如你的 GPU 是 SM80/90 架构(A100/H100等)，按如下方式安装
再安装 fastdeploy，**注意不要通过pypi源安装**，需要通过如下方式安装(目前支持80/86/89/90四个架构GPU）
**注意**: 稳定版本的FastDeploy搭配稳定版本的PaddlePaddle; 而Nightly Build的FastDeploy则对应Nightly Build的PaddlePaddle。其中 `--extra-index-url` 仅用于安装 fastdeploy-gpu 所需的依赖包，fastdeploy-gpu 本身必须从 `-i` 指定的 Paddle 源安装。
```
# 安装稳定版本fastdeploy
python -m pip install fastdeploy-gpu==2.4.0 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-gpu-80_90/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
# 安装稳定版本FastDeploy
# CUDA 12.6
python -m pip install fastdeploy-gpu==2.5.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
# CUDA 12.9
python -m pip install fastdeploy-gpu==2.5.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu129/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
# 安装Nightly Build的最新版本fastdeploy
python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu126/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
```
如你的 GPU 是 SM86/89 架构(4090/L20/L40等)，按如下方式安装
```
# 安装稳定版本fastdeploy
python -m pip install fastdeploy-gpu==2.4.0 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-gpu-86_89/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
# 安装Nightly Build的最新版本fastdeploy
# 安装Nightly Build版本FastDeploy
# CUDA 12.6
python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu126/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
# CUDA 12.9
python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu129/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
```
## 3. 镜像自行构建
@@ -70,7 +71,7 @@ docker build -f dockerfiles/Dockerfile.gpu -t fastdeploy:gpu .
首先安装 paddlepaddle-gpu，详细安装方式参考 [PaddlePaddle安装](https://www.paddlepaddle.org.cn/)
``` shell
python -m pip install paddlepaddle-gpu==3.3.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
python -m pip install paddlepaddle-gpu==3.3.1 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
```
接着克隆源代码，编译安装
@@ -98,7 +99,7 @@ FastDeploy 提供了 GPU 算子预编译版 Wheel 包，可在无需完整源码
首先安装 paddlepaddle-gpu，详细安装方式参考 [PaddlePaddle安装](https://www.paddlepaddle.org.cn/)
``` shell
python -m pip install paddlepaddle-gpu==3.3.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
python -m pip install paddlepaddle-gpu==3.3.1 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
```
接着克隆源代码，拉取 whl 包并安装