From 18e5d355a1a77ccf91de137050693c1c20ffb7e3 Mon Sep 17 00:00:00 2001 From: Jiang-Jia-Jun Date: Tue, 2 Sep 2025 19:21:10 +0800 Subject: [PATCH] Update version in docs --- docs/get_started/installation/kunlunxin_xpu.md | 6 +++--- docs/get_started/installation/nvidia_gpu.md | 2 +- docs/zh/get_started/installation/kunlunxin_xpu.md | 6 +++--- docs/zh/get_started/installation/nvidia_gpu.md | 2 +- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/get_started/installation/kunlunxin_xpu.md b/docs/get_started/installation/kunlunxin_xpu.md index aeaae3bac..120af189a 100644 --- a/docs/get_started/installation/kunlunxin_xpu.md +++ b/docs/get_started/installation/kunlunxin_xpu.md @@ -25,9 +25,9 @@ Verified platform: ```bash mkdir Work cd Work -docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.1.0 +docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.1.1 docker run --name fastdeploy-xpu --net=host -itd --privileged -v $PWD:/Work -w /Work \ - ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.1.0 \ + ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.1.1 \ /bin/bash docker exec -it fastdeploy-xpu /bin/bash ``` @@ -49,7 +49,7 @@ python -m pip install --pre paddlepaddle-xpu -i https://www.paddlepaddle.org.cn/ ### Install FastDeploy (**Do NOT install via PyPI source**) ```bash -python -m pip install fastdeploy-xpu==2.1.0 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-xpu-p800/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple +python -m pip install fastdeploy-xpu==2.1.1 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-xpu-p800/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple ``` Alternatively, you can install the latest version of FastDeploy (Not recommended) diff --git a/docs/get_started/installation/nvidia_gpu.md b/docs/get_started/installation/nvidia_gpu.md index 381a2de0a..31dedb3dc 100644 --- a/docs/get_started/installation/nvidia_gpu.md +++ b/docs/get_started/installation/nvidia_gpu.md @@ -13,7 +13,7 @@ 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 ```fastdpeloy-gpu``` after you create the container. ```shell -docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.1.0 +docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.1.1 ``` ## 2. Pre-built Pip Installation diff --git a/docs/zh/get_started/installation/kunlunxin_xpu.md b/docs/zh/get_started/installation/kunlunxin_xpu.md index 29fb801fc..b3514bbca 100644 --- a/docs/zh/get_started/installation/kunlunxin_xpu.md +++ b/docs/zh/get_started/installation/kunlunxin_xpu.md @@ -25,9 +25,9 @@ ```bash mkdir Work cd Work -docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.1.0 +docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.1.1 docker run --name fastdeploy-xpu --net=host -itd --privileged -v $PWD:/Work -w /Work \ - ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.1.0 \ + ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-xpu:2.1.1 \ /bin/bash docker exec -it fastdeploy-xpu /bin/bash ``` @@ -49,7 +49,7 @@ python -m pip install --pre paddlepaddle-xpu -i https://www.paddlepaddle.org.cn/ ### 安装 FastDeploy（**注意不要通过 pypi 源安装**） ```bash -python -m pip install fastdeploy-xpu==2.1.0 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-xpu-p800/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple +python -m pip install fastdeploy-xpu==2.1.1 -i https://www.paddlepaddle.org.cn/packages/stable/fastdeploy-xpu-p800/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple ``` 或者你也可以安装最新版 FastDeploy（不推荐） diff --git a/docs/zh/get_started/installation/nvidia_gpu.md b/docs/zh/get_started/installation/nvidia_gpu.md index a370a4589..154430bf8 100644 --- a/docs/zh/get_started/installation/nvidia_gpu.md +++ b/docs/zh/get_started/installation/nvidia_gpu.md @@ -15,7 +15,7 @@ **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 86/69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 -docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.1.0 +docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.1.1 ``` ## 2. 预编译Pip安装