From f6f163844eca75598ef38cdb4874b84a95ef3a33 Mon Sep 17 00:00:00 2001 From: wjunLu Date: Wed, 20 Mar 2024 10:36:33 +0800 Subject: [PATCH 1/2] Add mlflow docker image. --- mlflow/2.11.1/22.03-lts-sp3/Dockerfile | 11 ++++ mlflow/README.md | 30 +++++++++ mlflow/doc/image-info.yml | 85 +++++++++++++++++++++++++ mlflow/doc/picture/logo.png | Bin 0 -> 18915 bytes mlflow/meta.yml | 2 + 5 files changed, 128 insertions(+) create mode 100644 mlflow/2.11.1/22.03-lts-sp3/Dockerfile create mode 100644 mlflow/README.md create mode 100644 mlflow/doc/image-info.yml create mode 100644 mlflow/doc/picture/logo.png create mode 100644 mlflow/meta.yml diff --git a/mlflow/2.11.1/22.03-lts-sp3/Dockerfile b/mlflow/2.11.1/22.03-lts-sp3/Dockerfile new file mode 100644 index 00000000..3539b974 --- /dev/null +++ b/mlflow/2.11.1/22.03-lts-sp3/Dockerfile @@ -0,0 +1,11 @@ +ARG BASE=openeuler/openeuler:22.03-lts-sp3 +FROM ${BASE} + +ARG VERSION=2.11.1 +RUN yum install -y python3-pip && yum clean all +RUN pip3 install mlflow==${VERSION} && \ + groupadd --gid 10001 mlflow && \ + useradd --uid 10001 --gid mlflow --shell /bin/bash --create-home mlflow + +USER 10001 +CMD ["bash"] diff --git a/mlflow/README.md b/mlflow/README.md new file mode 100644 index 00000000..dbd5ebb2 --- /dev/null +++ b/mlflow/README.md @@ -0,0 +1,30 @@ +# Mlflow + +# Quick reference + +- The official mlflow docker image. + +- Maintained by: [openEuler CloudNative SIG](https://gitee.com/openeuler/cloudnative) + +- Where to get help: [openEuler CloudNative SIG](https://gitee.com/openeuler/cloudnative), [openEuler](https://gitee.com/openeuler/community) + +# Build reference + +1. Build images and push: +```shell +docker buildx build -t "openeuler/mlflow:$TAG" --platform linux/amd64,linux/arm64 . --push +``` + +We are using `buildx` in here to generate multi-arch images, see more in [Docker Buildx](https://docs.docker.com/buildx/working-with-buildx/) + +2. Run: +```shell +docker run -it --name mlflow openeuler/mlflow:{TAG} +``` + +# Supported tags and respective Dockerfile links + +- 2.11.1-oe2203sp3: mlflow v2.11.1, openEuler 22.03-LTS-SP3 + +## Operating System +Linux/Unix, ARM64 or x86-64 architecture. diff --git a/mlflow/doc/image-info.yml b/mlflow/doc/image-info.yml new file mode 100644 index 00000000..2a8f0dfc --- /dev/null +++ b/mlflow/doc/image-info.yml @@ -0,0 +1,85 @@ +name: Mlflow +category: ai +description: MLflow是一个简化机器学习开发的平台,包括跟踪实验、将代码打包成可重复的运行以及共享和部署模型。MLflow提供了一组轻量级API,可与任何现有的机器学习应用程序或库(TensorFlow、PyTorch、XGBoost等)一起使用,无论您当前在何处运行ML代码(例如在笔记本、独立应用程序或云中)。 +environment: | + 本应用以容器镜像的方式供用户使用,运行于预置docker的Linux环境。Docker的推荐安装方式如下: + ## apt安装 + ### 1.更新系统软件包依赖 + ``` + sudo spt update + sudo apt install ca-certificates curl gnupg lsb-release + ``` + ### 2.添加Docker官方GPG密钥 + ``` + sudo mkdir -p /etc/apt/keyrings + curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg + sudo chmod a+r /etc/apt/keyrings/docker.gpg + ``` + ### 3.添加Docker官方APT源 + ``` + echo \"deb [arch=$(dpkg --print-architecture) signed-by=/usr/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable\" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null + ``` + ### 4.再次更新软件包索引 + ``` + sudo apt update + ``` + ### 5.安装Docker + ``` + sudo apt install docker-ce docker-ce-cli containerd.io + ``` + + ## yum安装 + ### 1.安装yum-utils + ``` + sudo yum install -y yum-utils + ``` + ### 2.添加Docker源 + ``` + sudo yum-config-manager \ + > --add-repo \ + > https://download.docker.com/linux/centos/docker-ce.repo + ``` + ### 3.安装Docker + ``` + sudo yum install -y docker-ce docker-ce-cli containerd.io + ``` + + 注意,在openEuler环境安装docker时,可执行如下命令一键安装 + ``` + yum install -y docker + ``` + + ## 脚本安装 + ### 1.下载安装脚本 + ``` + curl -fsSL https://get.docker.com -o get-docker.sh + ``` + ### 2.使用root权限执行脚本 + ``` + sudo sh get-docker.sh + ``` + 使用脚本安装方式时,如果用户要指定安装的docker版本,需要自行修改`get-docker.sh`的源码内容。 + + ## 验证 + ``` + sudo docker run hello-world + ``` + +download: | + 获取容器镜像 + ``` + docker pull openeuler/mlflow:{TAG} + ``` + +install: | + 启动容器 + ``` + docker run -it --name mlflow openeuler/mlflow:{TAG} + ``` + 用户可根据自身需求,自定义启动选项。 + +license: Apache-2.0 license +similar_packages: + - Kubeflow: Kubeflow是一个基于Kubernetes的开源平台,用于在机器学习工作流中管理和部署模型。它提供了用于构建、训练和部署机器学习模型的工具和组件,并支持自动化的部署和扩展。 +dependency: + - python3 \ No newline at end of file diff --git a/mlflow/doc/picture/logo.png b/mlflow/doc/picture/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..beeb3f8aec7979c3aaba35c4f2437b5041420683 GIT binary patch literal 18915 zcmYg22{=^U`z>V4Qj|*evM*)LE=!iOSF#NCAt446BV$ZiLP$cgN0y|>K8z)meVMYx z%ot0?ekWlDWB6bC`hI`U^wTJo3xW~- zA(b2S#D}RJKj!lqsX{CIG=)UFhQsif{q?Hnx5oJmX}=}qGIPj>sOyiFc3JX66`luX z(O|-f$L4ttxe35@sH%FSSHEsAUHjhT3I+Q2fw6wag`U`U)+6;Xr))l9>qq&v1jq1s 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MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: 鲁卫军 --- mlflow/2.11.1/22.03-lts-sp3/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/mlflow/2.11.1/22.03-lts-sp3/Dockerfile b/mlflow/2.11.1/22.03-lts-sp3/Dockerfile index 3539b974..a92785f7 100644 --- a/mlflow/2.11.1/22.03-lts-sp3/Dockerfile +++ b/mlflow/2.11.1/22.03-lts-sp3/Dockerfile @@ -3,7 +3,7 @@ FROM ${BASE} ARG VERSION=2.11.1 RUN yum install -y python3-pip && yum clean all -RUN pip3 install mlflow==${VERSION} && \ +RUN pip3 install mlflow==${VERSION} -i https://pypi.tuna.tsinghua.edu.cn/simple && \ groupadd --gid 10001 mlflow && \ useradd --uid 10001 --gid mlflow --shell /bin/bash --create-home mlflow -- Gitee