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[Cherry-Pick][Docs] Update docs for release/2.5(#7267) (#7288)

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* Update docs for release/2.5

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

* 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

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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.

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

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

* [Cherry-Pick][Docs] restore missing build note in English install doc

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---------

Co-authored-by: jiang-jia-jun <jiangjiajun@baidu.com>
Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com>
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
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2026-04-09 21:12:59 +08:00
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docs/get_started/installation/nvidia_gpu.md
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@@ -12,10 +12,10 @@ The following installation methods are available when your environment meets the
## 1. Pre-built Docker Installation (Recommended)
**Notice**: The pre-built image only supports SM80/90 GPU(e.g. H800/A800)，if you are deploying on SM86/89GPU(L40/4090/L20), please reinstall ```fastdeploy-gpu``` after you create the container.
**Notice**: The pre-built image supports SM 80/86/89/90 architecture GPUs (e.g. 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. Pre-built Pip Installation
@@ -23,30 +23,33 @@ docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12
First install paddlepaddle-gpu. For detailed instructions, refer to [PaddlePaddle Installation](https://www.paddlepaddle.org.cn/en/install/quick?docurl=/documentation/docs/en/develop/install/pip/linux-pip_en.html)
```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/
```
Then install fastdeploy. **Do not install from PyPI**. Use the following methods instead:
Then install fastdeploy. **Do not install from PyPI**. Use the following methods instead (supports SM80/86/89/90 GPU architectures).
For SM80/90 architecture GPUs(e.g A30/A100/H100/):
**Note**: Stable FastDeploy release pairs with stable PaddlePaddle; Nightly Build FastDeploy pairs with Nightly Build PaddlePaddle. The `--extra-index-url` is only used for downloading fastdeploy-gpu's dependencies; fastdeploy-gpu itself must be installed from the Paddle source specified by `-i`.
```
# Install stable release
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
# Install stable release 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
# Install latest Nightly build
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
```
For SM86/89 architecture GPUs(e.g A10/4090/L20/L40):
```
# Install stable release
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
# Install latest Nightly build
# Install Nightly Build 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. Build from Source Using Docker
@@ -64,7 +67,7 @@ docker build -f dockerfiles/Dockerfile.gpu -t fastdeploy:gpu .
First install paddlepaddle-gpu. For detailed instructions, refer to [PaddlePaddle Installation](https://www.paddlepaddle.org.cn/en/install/quick?docurl=/documentation/docs/en/develop/install/pip/linux-pip_en.html)
```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/
```
Then clone the source code and build:
@@ -92,7 +95,7 @@ First, install paddlepaddle-gpu.
For detailed instructions, please refer to the [PaddlePaddle Installation Guide](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/
```
Then, clone the FastDeploy repository and build using the precompiled operator wheels: