广告图片

docker.io/clearml/server:2.4.0 linux/amd64

docker.io/clearml/server:2.4.0 - 国内下载镜像源 浏览次数:10

ClearML Server是ClearML平台的核心后端组件,用于支持机器学习项目的全生命周期管理。它提供实验跟踪、任务调度、模型版本控制、数据管理以及团队协作功能,帮助用户高效管理机器学习工作流,提升研发效率。该镜像包含ClearML Server的Web UI、API服务和相关依赖组件,可容器化部署,便于快速搭建ClearML平台环境。

源镜像 docker.io/clearml/server:2.4.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clearml/server:2.4.0
镜像ID sha256:f71fdc72e0e53c591dcb474dcfc2ee59c0bad90953f6fbf2fafde65d2177326d
镜像TAG 2.4.0
大小 1.02GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/clearml/wrapper.sh
工作目录 /opt/clearml/
OS/平台 linux/amd64
浏览量 10 次
贡献者
镜像创建 2026-02-09T06:22:02.071808481Z
同步时间 2026-04-23 14:07
开放端口
8008/tcp 8080/tcp 8081/tcp
环境变量
PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LANG=C.UTF-8 GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D PYTHON_VERSION=3.11.14 PYTHON_SHA256=8d3ed8ec5c88c1c95f5e558612a725450d2452813ddad5e58fdb1a53b1209b78 CLEARML_SERVER_VERSION=2.4.0 CLEARML_SERVER_BUILD=722

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clearml/server:2.4.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clearml/server:2.4.0  docker.io/clearml/server:2.4.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clearml/server:2.4.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clearml/server:2.4.0  docker.io/clearml/server:2.4.0

Shell快速替换命令

sed -i 's#clearml/server:2.4.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clearml/server:2.4.0#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clearml/server:2.4.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clearml/server:2.4.0  docker.io/clearml/server:2.4.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clearml/server:2.4.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clearml/server:2.4.0  docker.io/clearml/server:2.4.0'

镜像构建历史


# 2026-02-09 14:22:02  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/clearml/wrapper.sh"]
                        
# 2026-02-09 14:22:02  0.00B 设置工作目录为/opt/clearml/
WORKDIR /opt/clearml/
                        
# 2026-02-09 14:22:02  0.00B 设置环境变量 CLEARML_SERVER_BUILD
ENV CLEARML_SERVER_BUILD=722
                        
# 2026-02-09 14:22:02  0.00B 设置环境变量 CLEARML_SERVER_VERSION
ENV CLEARML_SERVER_VERSION=2.4.0
                        
# 2026-02-09 14:22:02  0.00B 定义构建参数
ARG BUILD=722
                        
# 2026-02-09 14:22:02  0.00B 定义构建参数
ARG VERSION=2.4.0
                        
# 2026-02-09 14:22:02  0.00B 声明容器运行时监听的端口
EXPOSE [8081/tcp]
                        
# 2026-02-09 14:22:02  0.00B 声明容器运行时监听的端口
EXPOSE [8008/tcp]
                        
# 2026-02-09 14:22:02  0.00B 声明容器运行时监听的端口
EXPOSE [8080/tcp]
                        
# 2026-02-09 14:22:01  19.26MB 复制新文件或目录到容器中
COPY /opt/open-webapp/dist/report-widgets/browser /usr/share/nginx/widgets # buildkit
                        
# 2026-02-09 14:22:01  62.46MB 复制新文件或目录到容器中
COPY /opt/open-webapp/build/browser /usr/share/nginx/html # buildkit
                        
# 2026-02-09 14:22:00  807.07MB 执行命令并创建新的镜像层
RUN /bin/sh -c /bin/bash -c '/tmp/internal_files/final_image_preparation.sh' # buildkit
                        
# 2026-02-09 14:20:50  3.57KB 复制新文件或目录到容器中
COPY devops-git/trains/docker/internal_files/final_image_preparation.sh devops-git/trains/docker/internal_files/clearml.conf.template devops-git/trains/docker/internal_files/clearml_subpath.conf.template /tmp/internal_files/ # buildkit
                        
# 2026-02-09 14:20:50  1.03MB 复制新文件或目录到容器中
COPY db-pre-populate/* /opt/clearml/db-pre-populate/ # buildkit
                        
# 2026-02-09 14:20:50  1.86MB 复制新文件或目录到容器中
COPY trains-server-internal/apiserver /opt/clearml/apiserver/ # buildkit
                        
# 2026-02-09 14:20:50  51.48KB 复制新文件或目录到容器中
COPY trains-server-internal/fileserver /opt/clearml/fileserver/ # buildkit
                        
# 2026-02-09 14:20:49  5.09KB 复制新文件或目录到容器中
COPY devops-git/trains/docker/webserver_configurations_utilities/* /opt/clearml/utilities/ # buildkit
                        
# 2026-02-09 14:20:49  4.85KB 复制新文件或目录到容器中
COPY devops-git/trains/docker/internal_files/wrapper.sh /opt/clearml/ # buildkit
                        
# 2026-02-05 04:27:57  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2026-02-05 04:27:57  36.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	for src in idle3 pip3 pydoc3 python3 python3-config; do 		dst="$(echo "$src" | tr -d 3)"; 		[ -s "/usr/local/bin/$src" ]; 		[ ! -e "/usr/local/bin/$dst" ]; 		ln -svT "$src" "/usr/local/bin/$dst"; 	done # buildkit
                        
# 2026-02-05 04:27:57  45.50MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		savedAptMark="$(apt-mark showmanual)"; 	apt-get update; 	apt-get install -y --no-install-recommends 		dpkg-dev 		gcc 		gnupg 		libbluetooth-dev 		libbz2-dev 		libc6-dev 		libdb-dev 		libffi-dev 		libgdbm-dev 		liblzma-dev 		libncursesw5-dev 		libreadline-dev 		libsqlite3-dev 		libssl-dev 		make 		tk-dev 		uuid-dev 		wget 		xz-utils 		zlib1g-dev 	; 		wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; 	echo "$PYTHON_SHA256 *python.tar.xz" | sha256sum -c -; 	wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; 	GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; 	gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; 	gpg --batch --verify python.tar.xz.asc python.tar.xz; 	gpgconf --kill all; 	rm -rf "$GNUPGHOME" python.tar.xz.asc; 	mkdir -p /usr/src/python; 	tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; 	rm python.tar.xz; 		cd /usr/src/python; 	gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; 	./configure 		--build="$gnuArch" 		--enable-loadable-sqlite-extensions 		--enable-optimizations 		--enable-option-checking=fatal 		--enable-shared 		$(test "${gnuArch%%-*}" != 'riscv64' && echo '--with-lto') 		--with-ensurepip 	; 	nproc="$(nproc)"; 	EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; 	LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; 	LDFLAGS="${LDFLAGS:-} -Wl,--strip-all"; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-}" 	; 	rm python; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-} -Wl,-rpath='\$\$ORIGIN/../lib'" 		python 	; 	make install; 		cd /; 	rm -rf /usr/src/python; 		find /usr/local -depth 		\( 			\( -type d -a \( -name test -o -name tests -o -name idle_test \) \) 			-o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \) 		\) -exec rm -rf '{}' + 	; 		ldconfig; 		apt-mark auto '.*' > /dev/null; 	apt-mark manual $savedAptMark; 	find /usr/local -type f -executable -not \( -name '*tkinter*' \) -exec ldd '{}' ';' 		| awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' 		| sort -u 		| xargs -rt dpkg-query --search 		| awk 'sub(":$", "", $1) { print $1 }' 		| sort -u 		| xargs -r apt-mark manual 	; 	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; 	rm -rf /var/lib/apt/lists/*; 		export PYTHONDONTWRITEBYTECODE=1; 	python3 --version; 		pip3 install 		--disable-pip-version-check 		--no-cache-dir 		--no-compile 		'setuptools==79.0.1' 		'wheel<0.46' 	; 	pip3 --version # buildkit
                        
# 2026-02-05 04:19:32  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=8d3ed8ec5c88c1c95f5e558612a725450d2452813ddad5e58fdb1a53b1209b78
                        
# 2026-02-05 04:19:32  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.14
                        
# 2026-02-05 04:19:32  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2026-02-05 04:19:32  9.26MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	apt-get update; 	apt-get install -y --no-install-recommends 		ca-certificates 		netbase 		tzdata 	; 	rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-02-05 04:19:32  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2026-02-05 04:19:32  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-02-02 08:00:00  74.81MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1769990400'
                        
                    

镜像信息

{
    "Id": "sha256:f71fdc72e0e53c591dcb474dcfc2ee59c0bad90953f6fbf2fafde65d2177326d",
    "RepoTags": [
        "clearml/server:2.4.0",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clearml/server:2.4.0"
    ],
    "RepoDigests": [
        "clearml/server@sha256:5ec4aed2e40c619da63198c22e765a00b4e3e5c06081a9c0a4ae237df66fb7bb",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clearml/server@sha256:5ec4aed2e40c619da63198c22e765a00b4e3e5c06081a9c0a4ae237df66fb7bb"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-02-09T06:22:02.071808481Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8008/tcp": {},
            "8080/tcp": {},
            "8081/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "LANG=C.UTF-8",
            "GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D",
            "PYTHON_VERSION=3.11.14",
            "PYTHON_SHA256=8d3ed8ec5c88c1c95f5e558612a725450d2452813ddad5e58fdb1a53b1209b78",
            "CLEARML_SERVER_VERSION=2.4.0",
            "CLEARML_SERVER_BUILD=722"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/opt/clearml/",
        "Entrypoint": [
            "/opt/clearml/wrapper.sh"
        ],
        "OnBuild": null,
        "Labels": null
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 1021313411,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/8ee41e2b2483acd7aecc31479cef6fa558c54bed6c9177e7817a733f54eb9106/diff:/var/lib/docker/overlay2/9685e6a327902b51d33b8845b21af4d32ede26dbcd53ba537d7b1d05ac3d61da/diff:/var/lib/docker/overlay2/d2a9faaa173f9f61da7e69fdc38f2e907e9defd02fe1c31aa35a2439804e1e5f/diff:/var/lib/docker/overlay2/3db12396f8466bb6701c6bd8c6ccc81f9d4ab4f2be1bd7d55a34947f634c9867/diff:/var/lib/docker/overlay2/f385404370c9e358fbe92feca520ab37eefdfdf5ff2efc39dc717151ad7fd156/diff:/var/lib/docker/overlay2/c216f5c1e4271a45742776929ca4304516bc4cee7c5c668e0cea68a3452927bd/diff:/var/lib/docker/overlay2/2bf99018364aad30ba8585b75e93b44621838ec65860cdaf18c1f1dfe1ad99e6/diff:/var/lib/docker/overlay2/da6c2b7c5eba75790e779834365827ac7f32f04263765d2c62703b5a344a595a/diff:/var/lib/docker/overlay2/c97588971b7c0b6ee46c5045bef3bf48a84b510b797206a2bedb48dea6cd1f09/diff:/var/lib/docker/overlay2/8d45a716c8f62a4a1092c3ca079ac366652f69233b7cbe21efcab79b31a756dd/diff:/var/lib/docker/overlay2/809ad0e534b2e3ecfc9af825b236c1c49a4e62416b818bfc2e56190bfe9951d0/diff:/var/lib/docker/overlay2/95528fafa1cf0efe4d8c9b61a917ef80c22815c20e2d80e523dd85f1181639a2/diff:/var/lib/docker/overlay2/b358916aa41b26e25d366c1cbb5a1264986336a72ad452c5e71ad95ee10425b0/diff",
            "MergedDir": "/var/lib/docker/overlay2/44a253e3da87279fcf8dd161e8959a34b7c2cc6c98bc5a21bbf912fc6ad48dac/merged",
            "UpperDir": "/var/lib/docker/overlay2/44a253e3da87279fcf8dd161e8959a34b7c2cc6c98bc5a21bbf912fc6ad48dac/diff",
            "WorkDir": "/var/lib/docker/overlay2/44a253e3da87279fcf8dd161e8959a34b7c2cc6c98bc5a21bbf912fc6ad48dac/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:e48af84b2108a5d73effd9e16685b42ac33e7994e606398c46690918f5f3604a",
            "sha256:98c0a92ad126adb3a5fd428deabde550351fe47aa4c0ee7986616e3837240047",
            "sha256:7aaf27f183f8b59d50165d5e33b2be164a796181f3dc32c881b2eb30fdce000a",
            "sha256:ad37757a633b1bb9159e5687faf9dec4ce10a20bc318e9ae7c580a42e719854c",
            "sha256:004a909985a218434d596c4280ccfa7848181eac6a23390030b92942b7ddd947",
            "sha256:12c8b8fdf474ec74d36d2b6a0287e89e0cf2a0401ed64cd40f9296291dd2f2b6",
            "sha256:79232197561fc9f5293da0b04a076d46ec0be1c709859853526293ff66eb7d42",
            "sha256:4d91155fac0192196e1c4ef9805cd3a25fbab54b45e937e8253c3f72980a44fd",
            "sha256:9a75aee1382dff74d4b3dbe06039a8fe11bb33de6cbcf784f329bd8dadfc6e0b",
            "sha256:64d2d43811f007b14ffbed1a0b9fc40b33ab3b1f05b500a1cfb63a90463cb208",
            "sha256:042cb95fc9ae7d2e5d608c6ab6ee0fc60d0e53b8bc5dfe46a1aa30daff4c258c",
            "sha256:1e59342282c98b9b19425e1bdb6df0be818bcda84237059831b6d41d643ecbf9",
            "sha256:16855de46d2826bd1b532adc1ba90f34552bc6668414ca1e91cb15eb77ab662d",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
        ]
    },
    "Metadata": {
        "LastTagTime": "2026-04-23T14:06:59.970649612+08:00"
    }
}

更多版本

docker.io/clearml/server:2.4.0

linux/amd64 docker.io1.02GB2026-04-23 14:07
9