docker.io/xprobe/xinference:v1.0.0 linux/amd64

docker.io/xprobe/xinference:v1.0.0 - 国内下载镜像源 浏览次数:25
XinInference 是一个基于 Docker 的容器镜像，旨在提供一个简单、易用的机器学习推断环境。该镜像包含了 TensorFlow、PyTorch 和 scikit-learn 等常见的深度学习框架，可以用来快速 prototyping 和开发机器学习模型。
源镜像 docker.io/xprobe/xinference:v1.0.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.0.0
镜像ID sha256:a79e7792849c957d75228b980f975c4958776fbee081cdfbc956c1b0f20baadb
镜像TAG v1.0.0
大小 17.62GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash
启动入口
工作目录 /opt/inference
OS/平台 linux/amd64
浏览量 25 次
贡献者
镜像创建 2024-11-15T10:27:27.667023725Z
同步时间 2024-11-19 00:15
更新时间 2024-11-21 08:12
环境变量
PATH=/usr/local/nvm/versions/node/v14.21.1/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536 NV_CUDA_CUDART_VERSION=12.4.127-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4 CUDA_VERSION=12.4.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/lib/python3.10/dist-packages/nvidia/cublas/lib NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility DEBIAN_FRONTEND=noninteractive VLLM_USAGE_SOURCE=production-docker-image NVM_DIR=/usr/local/nvm NODE_VERSION=14.21.1
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 20.04: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 20.04 扫描引擎: Trivy 扫描时间: 2024-11-19 00:19

低危漏洞:167 中危漏洞:1496 高危漏洞:35 严重漏洞:0
docker.io/xprobe/xinference:v1.0.0 (ubuntu 20.04) (ubuntu) Java (jar) Node.js (node-pkg) Python (python-pkg)

Docker拉取命令 无权限下载?点我修复 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.0.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.0.0  docker.io/xprobe/xinference:v1.0.0

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.0.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.0.0  docker.io/xprobe/xinference:v1.0.0

Shell快速替换命令 

sed -i 's#xprobe/xinference:v1.0.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.0.0#' 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/xprobe/xinference:v1.0.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.0.0  docker.io/xprobe/xinference:v1.0.0'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.0.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v1.0.0  docker.io/xprobe/xinference:v1.0.0'

镜像历史

大小 创建时间 层信息
0.00B 2024-11-15 18:27:27 /bin/sh -c #(nop) CMD ["/bin/bash"]
0.00B 2024-11-15 18:27:27 /bin/sh -c #(nop) ENTRYPOINT []
7.17GB 2024-11-15 18:27:21 |1 PIP_INDEX=https://pypi.org/simple /bin/sh -c pip install --upgrade -i "$PIP_INDEX" pip && pip install -i "$PIP_INDEX" "diskcache>=5.6.1" "jinja2>=2.11.3" && pip install "llama-cpp-python>=0.2.82" -i https://abetlen.github.io/llama-cpp-python/whl/cu124 && pip install -i "$PIP_INDEX" --upgrade-strategy only-if-needed -r /opt/inference/xinference/deploy/docker/requirements.txt && pip install -i "$PIP_INDEX" --no-deps sglang && pip uninstall flashinfer -y && pip install flashinfer -i https://flashinfer.ai/whl/cu124/torch2.4 && cd /opt/inference && python3 setup.py build_web && git restore . && pip install -i "$PIP_INDEX" --no-deps "." && pip cache purge
0.00B 2024-11-15 18:17:46 /bin/sh -c #(nop) ARG PIP_INDEX=https://pypi.org/simple
0.00B 2024-11-15 18:17:46 /bin/sh -c #(nop) ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/lib/python3.10/dist-packages/nvidia/cublas/lib
0.00B 2024-11-15 18:17:45 /bin/sh -c #(nop) ENV PATH=/usr/local/nvm/versions/node/v14.21.1/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
586.41MB 2024-11-15 18:17:41 /bin/sh -c apt-get -y update && apt install -y curl procps git libgl1 ffmpeg && printf "\ndeb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy main restricted universe multiverse" >> /etc/apt/sources.list && apt-get -y update && apt-get install -y --only-upgrade libstdc++6 && apt install -y libc6 && mkdir -p $NVM_DIR && curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash && . $NVM_DIR/nvm.sh && nvm install $NODE_VERSION && nvm alias default $NODE_VERSION && nvm use default && apt-get -yq clean
0.00B 2024-11-15 18:16:36 /bin/sh -c #(nop) ENV NODE_VERSION=14.21.1
0.00B 2024-11-15 18:16:36 /bin/sh -c #(nop) ENV NVM_DIR=/usr/local/nvm
0.00B 2024-11-15 18:16:36 /bin/sh -c #(nop) WORKDIR /opt/inference
144.84MB 2024-11-15 18:16:31 /bin/sh -c #(nop) COPY dir:82bc893e3e37a7c99f3db1f75684ab44fe8fa03ff3fc62f76d39f70364d25975 in /opt/inference
0.00B 2024-09-05 08:27:15 ENTRYPOINT ["python3" "-m" "vllm.entrypoints.openai.api_server"]
0.00B 2024-09-05 08:27:15 ENV VLLM_USAGE_SOURCE=production-docker-image
49.59MB 2024-09-05 08:27:15 RUN /bin/sh -c pip install accelerate hf_transfer 'modelscope!=1.15.0' # buildkit
1.84GB 2024-09-05 08:26:55 RUN |2 CUDA_VERSION=12.4.1 PYTHON_VERSION=3.10 /bin/sh -c . /etc/environment && python3 -m pip install https://github.com/flashinfer-ai/flashinfer/releases/download/v0.1.6/flashinfer-0.1.6+cu121torch2.4-cp${PYTHON_VERSION_STR}-cp${PYTHON_VERSION_STR}-linux_x86_64.whl # buildkit
6.96GB 2024-09-05 08:26:02 RUN |2 CUDA_VERSION=12.4.1 PYTHON_VERSION=3.10 /bin/sh -c python3 -m pip install dist/*.whl --verbose # buildkit
32.26KB 2024-09-05 07:39:00 RUN |2 CUDA_VERSION=12.4.1 PYTHON_VERSION=3.10 /bin/sh -c ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/ # buildkit
612.25MB 2024-09-05 07:39:00 RUN |2 CUDA_VERSION=12.4.1 PYTHON_VERSION=3.10 /bin/sh -c echo 'tzdata tzdata/Areas select America' | debconf-set-selections && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections && apt-get update -y && apt-get install -y ccache software-properties-common git curl sudo vim python3-pip && add-apt-repository ppa:deadsnakes/ppa && apt-get update -y && apt-get install -y python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv libibverbs-dev && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1 && update-alternatives --set python3 /usr/bin/python${PYTHON_VERSION} && ln -sf /usr/bin/python${PYTHON_VERSION}-config /usr/bin/python3-config && curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} && python3 --version && python3 -m pip --version # buildkit
136.00B 2024-09-05 07:36:15 RUN |2 CUDA_VERSION=12.4.1 PYTHON_VERSION=3.10 /bin/sh -c PYTHON_VERSION_STR=$(echo ${PYTHON_VERSION} | sed 's/\.//g') && echo "export PYTHON_VERSION_STR=${PYTHON_VERSION_STR}" >> /etc/environment # buildkit
0.00B 2024-07-23 15:03:19 ENV DEBIAN_FRONTEND=noninteractive
0.00B 2024-07-23 15:03:19 WORKDIR /vllm-workspace
0.00B 2024-07-23 15:03:19 ARG PYTHON_VERSION=3.10
0.00B 2024-07-23 15:03:19 ARG CUDA_VERSION=12.4.1
0.00B 2024-04-23 07:42:36 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2024-04-23 07:42:36 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2024-04-23 07:42:36 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2024-04-23 07:42:36 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2024-04-23 07:42:36 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2024-04-23 07:42:36 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
155.93MB 2024-04-23 07:42:36 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-4=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2024-04-23 07:42:24 ENV CUDA_VERSION=12.4.1
18.32MB 2024-04-23 07:42:24 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2024-04-23 07:42:24 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2024-04-23 07:42:24 ARG TARGETARCH
0.00B 2024-04-23 07:42:24 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
0.00B 2024-04-23 07:42:24 ENV NV_CUDA_CUDART_VERSION=12.4.127-1
0.00B 2024-04-23 07:42:24 ENV NVIDIA_REQUIRE_CUDA=cuda>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
0.00B 2024-04-23 07:42:24 ENV NVARCH=x86_64
0.00B 2024-04-11 02:50:37 /bin/sh -c #(nop) CMD ["/bin/bash"]
72.81MB 2024-04-11 02:50:37 /bin/sh -c #(nop) ADD file:ea2128e23dce0162557abadd80656bd5ae047d573095d1d4323eb4154490dfdc in /
0.00B 2024-04-11 02:50:35 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=20.04
0.00B 2024-04-11 02:50:35 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2024-04-11 02:50:35 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2024-04-11 02:50:35 /bin/sh -c #(nop) ARG RELEASE

镜像信息 

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        ]
    },
    "Metadata": {
        "LastTagTime": "2024-11-19T00:07:27.207252594+08:00"
    }
}

更多版本

docker.io/xprobe/xinference:v0.13.3

linux/amd64 docker.io15.44GB2024-08-03 22:15
355

docker.io/xprobe/xinference:v0.14.0

linux/amd64 docker.io15.53GB2024-08-05 11:11
255

docker.io/xprobe/xinference:latest-cpu

linux/amd64 docker.io6.75GB2024-09-07 01:27
127

docker.io/xprobe/xinference:v0.12.1

linux/amd64 docker.io26.68GB2024-09-07 03:07
114

docker.io/xprobe/xinference:v0.15.0-cpu

linux/amd64 docker.io6.75GB2024-09-19 22:49
99

docker.io/xprobe/xinference:v0.12.0

linux/amd64 docker.io27.66GB2024-09-25 04:01
82

docker.io/xprobe/xinference:v0.15.2

linux/amd64 docker.io17.55GB2024-09-30 13:35
120

docker.io/xprobe/xinference:v0.15.4

linux/amd64 docker.io17.54GB2024-10-16 01:44
127

docker.io/xprobe/xinference:v0.16.3

linux/amd64 docker.io17.59GB2024-11-13 00:44
32

docker.io/xprobe/xinference:v1.0.0

linux/amd64 docker.io17.62GB2024-11-19 00:15
24