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[Cherry-Pick][Docs] Update GPU version from 2.3.0 to 2.3.2 in installation documentation (#5896)

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* Initial plan

* [Cherry-Pick] Update GPU version from 2.3.0 to 2.3.2 in documentation (PR #5894)

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>
Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com>
This commit is contained in:
Copilot
2026-01-06 14:15:03 +08:00
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parent e627e13808
commit b99f6e9519
2 changed files with 6 additions and 6 deletions
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docs/get_started/installation/nvidia_gpu.md
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@@ -15,7 +15,7 @@ The following installation methods are available when your environment meets the
**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 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.
```shell ```shell
docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.3.0-rc0 docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.3.2
``` ```
## 2. Pre-built Pip Installation ## 2. Pre-built Pip Installation
@@ -34,7 +34,7 @@ Then install fastdeploy. **Do not install from PyPI**. Use the following methods
For SM80/90 architecture GPUs(e.g A30/A100/H100/): For SM80/90 architecture GPUs(e.g A30/A100/H100/):
``` ```
# Install stable release # Install stable release
python -m pip install fastdeploy-gpu==2.3.0 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-gpu-80_90/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple python -m pip install fastdeploy-gpu==2.3.2 -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 latest Nightly build # Install latest Nightly build
python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/fastdeploy-gpu-80_90/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/fastdeploy-gpu-80_90/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
@@ -43,7 +43,7 @@ python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages
For SM86/89 architecture GPUs(e.g A10/4090/L20/L40): For SM86/89 architecture GPUs(e.g A10/4090/L20/L40):
``` ```
# Install stable release # Install stable release
python -m pip install fastdeploy-gpu==2.3.0 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-gpu-86_89/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple python -m pip install fastdeploy-gpu==2.3.2 -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 latest Nightly build
python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/fastdeploy-gpu-86_89/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/fastdeploy-gpu-86_89/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
docs/zh/get_started/installation/nvidia_gpu.md
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@@ -17,7 +17,7 @@
**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**： 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。
``` shell ``` shell
docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.3.0-rc0 docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.3.2
``` ```
## 2. 预编译Pip安装 ## 2. 预编译Pip安装
@@ -38,7 +38,7 @@ python -m pip install --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/
``` ```
# 安装稳定版本fastdeploy # 安装稳定版本fastdeploy
python -m pip install fastdeploy-gpu==2.3.0 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-gpu-80_90/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple python -m pip install fastdeploy-gpu==2.3.2 -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Nightly Build的最新版本fastdeploy # 安装Nightly Build的最新版本fastdeploy
python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/fastdeploy-gpu-80_90/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/fastdeploy-gpu-80_90/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
@@ -48,7 +48,7 @@ python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages
``` ```
# 安装稳定版本fastdeploy # 安装稳定版本fastdeploy
python -m pip install fastdeploy-gpu==2.3.0 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-gpu-86_89/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple python -m pip install fastdeploy-gpu==2.3.2 -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的最新版本fastdeploy
python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/fastdeploy-gpu-86_89/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple python -m pip install fastdeploy-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/fastdeploy-gpu-86_89/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple