docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6 linux/amd64

docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6 - 国内下载镜像源 浏览次数:10

这是一个用于运行 PyTorch MNIST CPU 版本的 Kubeflow Katib 镜像。它预装了 PyTorch 框架以及 MNIST 数据集,并配置好了在 CPU 上运行 MNIST 图像分类任务的环境。 您可以使用这个镜像方便快捷地进行机器学习实验和模型训练,特别是在资源受限的 CPU 环境下。

源镜像 docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6
镜像ID sha256:3dd30621aa52fc001628b3912aa9e0a413dcd68f8ca561c2c84a3dcb881024cc
镜像TAG v1beta1-21320b6
大小 5.32GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 python3 /opt/pytorch-mnist/mnist.py
工作目录 /opt/pytorch-mnist
OS/平台 linux/amd64
浏览量 10 次
贡献者 24*******8@qq.com
镜像创建 2024-04-15T13:00:38.058414244Z
同步时间 2025-12-27 01:11
更新时间 2025-12-27 11:08
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=3.11.9 PYTHON_PIP_VERSION=24.0 PYTHON_SETUPTOOLS_VERSION=65.5.1 PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/dbf0c85f76fb6e1ab42aa672ffca6f0a675d9ee4/public/get-pip.py PYTHON_GET_PIP_SHA256=dfe9fd5c28dc98b5ac17979a953ea550cec37ae1b47a5116007395bfacff2ab9

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6  docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6  docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6

Shell快速替换命令

sed -i 's#kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6#' 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/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6  docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6  docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6'

镜像构建历史


# 2024-04-15 21:00:38  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["python3" "/opt/pytorch-mnist/mnist.py"]
                        
# 2024-04-15 21:00:38  9.97KB 执行命令并创建新的镜像层
RUN /bin/sh -c chgrp -R 0 /opt/pytorch-mnist   && chmod -R g+rwX /opt/pytorch-mnist   && chgrp -R 0 /katib   && chmod -R g+rwX /katib # buildkit
                        
# 2024-04-15 21:00:37  3.59MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --prefer-binary --no-cache-dir -r requirements.txt # buildkit
                        
# 2024-04-15 21:00:36  5.18GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --prefer-binary --no-cache-dir torch==2.2.1 torchvision==0.17.1 # buildkit
                        
# 2024-04-15 20:59:32  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir /katib # buildkit
                        
# 2024-04-15 20:59:32  0.00B 设置工作目录为/opt/pytorch-mnist
WORKDIR /opt/pytorch-mnist
                        
# 2024-04-15 20:59:32  9.97KB 复制文件或目录到容器中
ADD examples/v1beta1/trial-images/pytorch-mnist /opt/pytorch-mnist # buildkit
                        
# 2024-04-03 23:49:18  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2024-04-03 23:49:18  12.40MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		savedAptMark="$(apt-mark showmanual)"; 	apt-get update; 	apt-get install -y --no-install-recommends wget; 		wget -O get-pip.py "$PYTHON_GET_PIP_URL"; 	echo "$PYTHON_GET_PIP_SHA256 *get-pip.py" | sha256sum -c -; 		apt-mark auto '.*' > /dev/null; 	[ -z "$savedAptMark" ] || apt-mark manual $savedAptMark > /dev/null; 	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; 	rm -rf /var/lib/apt/lists/*; 		export PYTHONDONTWRITEBYTECODE=1; 		python get-pip.py 		--disable-pip-version-check 		--no-cache-dir 		--no-compile 		"pip==$PYTHON_PIP_VERSION" 		"setuptools==$PYTHON_SETUPTOOLS_VERSION" 	; 	rm -f get-pip.py; 		pip --version # buildkit
                        
# 2024-04-03 23:49:18  0.00B 设置环境变量 PYTHON_GET_PIP_SHA256
ENV PYTHON_GET_PIP_SHA256=dfe9fd5c28dc98b5ac17979a953ea550cec37ae1b47a5116007395bfacff2ab9
                        
# 2024-04-03 23:49:18  0.00B 设置环境变量 PYTHON_GET_PIP_URL
ENV PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/dbf0c85f76fb6e1ab42aa672ffca6f0a675d9ee4/public/get-pip.py
                        
# 2024-04-03 23:49:18  0.00B 设置环境变量 PYTHON_SETUPTOOLS_VERSION
ENV PYTHON_SETUPTOOLS_VERSION=65.5.1
                        
# 2024-04-03 23:49:18  0.00B 设置环境变量 PYTHON_PIP_VERSION
ENV PYTHON_PIP_VERSION=24.0
                        
# 2024-04-03 23:49:18  32.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	for src in idle3 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
                        
# 2024-04-03 23:49:18  34.31MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		savedAptMark="$(apt-mark showmanual)"; 	apt-get update; 	apt-get install -y --no-install-recommends 		dpkg-dev 		gcc 		gnupg 		libbluetooth-dev 		libbz2-dev 		libc6-dev 		libdb-dev 		libexpat1-dev 		libffi-dev 		libgdbm-dev 		liblzma-dev 		libncursesw5-dev 		libreadline-dev 		libsqlite3-dev 		libssl-dev 		make 		tk-dev 		uuid-dev 		wget 		xz-utils 		zlib1g-dev 	; 		wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; 	wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${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 		--with-lto 		--with-system-expat 		--without-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=${LDFLAGS:-}" 		"PROFILE_TASK=${PROFILE_TASK:-}" 	; 	rm python; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:--Wl},-rpath='\$\$ORIGIN/../lib'" 		"PROFILE_TASK=${PROFILE_TASK:-}" 		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 -r dpkg-query --search 		| cut -d: -f1 		| sort -u 		| xargs -r apt-mark manual 	; 	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; 	rm -rf /var/lib/apt/lists/*; 		python3 --version # buildkit
                        
# 2024-04-03 23:49:18  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.9
                        
# 2024-04-03 23:49:18  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2024-04-03 23:49:18  9.23MB 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
                        
# 2024-04-03 23:49:18  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2024-04-03 23:49:18  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
                        
# 2024-04-10 09:50:48  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2024-04-10 09:50:48  74.78MB 
/bin/sh -c #(nop) ADD file:d4bb05cb4d403a78b4ab5cd8d620330659d5aeb25f847d104ebc02c3a0f32624 in / 
                        
                    

镜像信息

{
    "Id": "sha256:3dd30621aa52fc001628b3912aa9e0a413dcd68f8ca561c2c84a3dcb881024cc",
    "RepoTags": [
        "kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6"
    ],
    "RepoDigests": [
        "kubeflowkatib/pytorch-mnist-cpu@sha256:a196e1e41dc87a550f9dc2c908207266161340c8cfd31731e2b6cc6c95f78205",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflowkatib/pytorch-mnist-cpu@sha256:f0672e399925fa825b20ec79eb0e819839a757b0486645b886302e7151db795b"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-04-15T13:00:38.058414244Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "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=3.11.9",
            "PYTHON_PIP_VERSION=24.0",
            "PYTHON_SETUPTOOLS_VERSION=65.5.1",
            "PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/dbf0c85f76fb6e1ab42aa672ffca6f0a675d9ee4/public/get-pip.py",
            "PYTHON_GET_PIP_SHA256=dfe9fd5c28dc98b5ac17979a953ea550cec37ae1b47a5116007395bfacff2ab9"
        ],
        "Cmd": null,
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/opt/pytorch-mnist",
        "Entrypoint": [
            "python3",
            "/opt/pytorch-mnist/mnist.py"
        ],
        "OnBuild": null,
        "Labels": null
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 5317079086,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/6395e94707e5a31282ccc0aab2816898523d5d1ceb28b63a1d0d3b71f0f4e561/diff:/var/lib/docker/overlay2/8a33312c7d45b118f30aee0157dafe3880b992f18910f93bf58afef8462e89c8/diff:/var/lib/docker/overlay2/030dd9ad20fe268b9dc268136a34f50a478d2f047d9761715bbeebae01cfe489/diff:/var/lib/docker/overlay2/6bb17f3a81cdb0b49699053486dfd4b6fbf9f5778bea858bcba9087a1699ead1/diff:/var/lib/docker/overlay2/808bf2aa0afd32c19c700cb45d2468ffabd8481496ce2e4f6dd883fb9bdd2265/diff:/var/lib/docker/overlay2/1213fe7129919f814d24be6207b7f80847eb6d99fe1072c5dee3099574a498c6/diff:/var/lib/docker/overlay2/34216b1db67bd1ae0563b3606947f1fc4cae45ca58b44a155b75cc0a7ee3b06a/diff:/var/lib/docker/overlay2/7fad2322eb2a2aa46960860c43b68509464fcef6343b5660ead103c02e5bb4b7/diff:/var/lib/docker/overlay2/28cf9a81762e07cc95885d9709af8f7606284e7f3f2a731e8de2c9da419c61c3/diff:/var/lib/docker/overlay2/d7c9655897407aef1ba7a6e043c88b8dc67d8e99fb64719fccaef7fb48f00634/diff",
            "MergedDir": "/var/lib/docker/overlay2/f5dd2c7f9a4a2f7cc8428dac7d3b0d931685c4b85e707983fbf2261f3168d481/merged",
            "UpperDir": "/var/lib/docker/overlay2/f5dd2c7f9a4a2f7cc8428dac7d3b0d931685c4b85e707983fbf2261f3168d481/diff",
            "WorkDir": "/var/lib/docker/overlay2/f5dd2c7f9a4a2f7cc8428dac7d3b0d931685c4b85e707983fbf2261f3168d481/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:1f00ff20147800878a4ebc9c283f79149a1dde5cc11d659c69d3a9c0bfeb7d4f",
            "sha256:bfc9081d1eb25d97a375ce259a84ad9e03bacf88a83285e84c377fbf605593cb",
            "sha256:2bd090082bd1a0d8b48dfec6f0d09f5e17f92ee413091c63817600bf3a787caa",
            "sha256:2cb6e4a61d109e2b3efe41ee2b0446d68797860c0ba74202afdabdf2fdabe126",
            "sha256:7204874ba62cf98ab4084cee9dba4bd746868e7b76cb3f83bc1aaa00a0f1530a",
            "sha256:d1b15753f6f664dd771fdcbc0c2f877de727370f9ca451d110b4ce15cff2656c",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:1f0dfeaa8d188e23ebfeecf9022a311162b720128ce672df7fa88733a3747358",
            "sha256:62cb96b56d44b4f002874237cfbf5bdff5ffb94836287d63f73514fd36580084",
            "sha256:4a66f3a25cd6160f01b2b4d12b0f5e2f9c54eec4a6e18d1dd49d540d5158e75e",
            "sha256:bbcdc499b918031931887e2d1a39ebca15704e7e57745deeb109a8ee69ab2501"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-12-27T01:04:48.909219719+08:00"
    }
}

更多版本

docker.io/kubeflowkatib/pytorch-mnist-cpu:v0.16.0

linux/amd64 docker.io3.63GB2025-02-28 15:23
218

docker.io/kubeflowkatib/pytorch-mnist-cpu:v1beta1-21320b6

linux/amd64 docker.io5.32GB2025-12-27 01:11
9