From 6c316286c19b0da0c41132838e9b2ee837d8073b Mon Sep 17 00:00:00 2001 From: Ding <30425407+playaswd@users.noreply.github.com> Date: Thu, 6 Nov 2025 16:03:02 +0800 Subject: [PATCH] fix: correct typo in nvidia_gpu.md (#4848) --- docs/requirements.txt | 1 + docs/zh/get_started/installation/nvidia_gpu.md | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/requirements.txt b/docs/requirements.txt index c042b09e6..f4361bacf 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -3,3 +3,4 @@ mkdocs-get-deps mkdocs-material mkdocs-material-extensions mkdocs-multilang +mkdocs-static-i18n diff --git a/docs/zh/get_started/installation/nvidia_gpu.md b/docs/zh/get_started/installation/nvidia_gpu.md index 9b00088f6..b2584495a 100644 --- a/docs/zh/get_started/installation/nvidia_gpu.md +++ b/docs/zh/get_started/installation/nvidia_gpu.md @@ -14,7 +14,7 @@ ## 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 86/69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。 +**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 docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.3.0-rc0