docker.io/xprobe/xinference:v0.14.0 linux/amd64

docker.io/xprobe/xinference:v0.14.0 - 国内下载镜像源 浏览次数:127
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:v0.14.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v0.14.0
镜像ID sha256:ef25a8c0d302bdbf03f14926e561ca6d6cfede82383cad85d3fc978ae95bc983
镜像TAG v0.14.0
大小 15.53GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口
工作目录 /opt/inference
OS/平台 linux/amd64
浏览量 127 次
贡献者
镜像创建 2024-08-02T08:51:52.024349238Z
同步时间 2024-08-05 11:11
更新时间 2024-09-19 22:51
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>=12.1 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 NV_CUDA_CUDART_VERSION=12.1.55-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1 CUDA_VERSION=12.1.0 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 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

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:v0.14.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v0.14.0  docker.io/xprobe/xinference:v0.14.0

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v0.14.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v0.14.0  docker.io/xprobe/xinference:v0.14.0

Shell快速替换命令 

sed -i 's#xprobe/xinference:v0.14.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/xprobe/xinference:v0.14.0#' deployment.yaml

镜像历史

大小 创建时间 层信息
0.00B 2024-08-02 16:51:52 /bin/sh -c #(nop) ENTRYPOINT []
4.76GB 2024-08-02 16:51:39 |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 && cd /opt/inference && python3 setup.py build_web && git restore . && pip install -i "$PIP_INDEX" --no-deps "." && pip cache purge
0.00B 2024-08-02 16:44:24 /bin/sh -c #(nop) ARG PIP_INDEX=https://pypi.org/simple
0.00B 2024-08-02 16:44:24 /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 2024-08-02 16:44:24 /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
583.59MB 2024-08-02 16:44:20 /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 $NODE_VERSION && nvm use default && apt-get -yq clean
0.00B 2024-08-02 16:43:04 /bin/sh -c #(nop) ENV NODE_VERSION=14.21.1
0.00B 2024-08-02 16:43:04 /bin/sh -c #(nop) ENV NVM_DIR=/usr/local/nvm
0.00B 2024-08-02 16:43:04 /bin/sh -c #(nop) WORKDIR /opt/inference
110.84MB 2024-08-02 16:42:59 /bin/sh -c #(nop) COPY dir:0e7680706bd10adc43f064bd44427d4eeedcef1eab579abe55b82fb6dc95cc44 in /opt/inference
0.00B 2024-07-25 02:01:51 ENTRYPOINT ["python3" "-m" "vllm.entrypoints.openai.api_server"]
0.00B 2024-07-25 02:01:51 ENV VLLM_USAGE_SOURCE=production-docker-image
49.46MB 2024-07-25 02:01:51 RUN /bin/sh -c pip install accelerate hf_transfer 'modelscope!=1.15.0' # buildkit
1.78GB 2024-07-25 02:01:38 RUN |2 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.10 /bin/sh -c python3 -m pip install https://github.com/flashinfer-ai/flashinfer/releases/download/v0.0.9/flashinfer-0.0.9+cu121torch2.3-cp310-cp310-linux_x86_64.whl # buildkit
627.12MB 2024-07-25 02:00:45 RUN |2 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.10 /bin/sh -c python3 -m pip install /usr/src/mamba/*.whl --no-cache-dir # buildkit
6.75GB 2024-07-25 02:00:15 RUN |2 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.10 /bin/sh -c python3 -m pip install dist/*.whl --verbose # buildkit
31.85KB 2024-07-25 01:50:07 RUN |2 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.10 /bin/sh -c ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/ # buildkit
0.00B 2024-07-25 01:50:07 RUN |2 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.10 /bin/sh -c python3 -m pip --version # buildkit
11.61MB 2024-07-25 01:50:06 RUN |2 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.10 /bin/sh -c curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} # buildkit
337.72MB 2024-07-25 01:49:32 RUN |2 CUDA_VERSION=12.1.0 PYTHON_VERSION=3.10 /bin/sh -c apt-get update -y && apt-get install -y python3-pip git vim curl libibverbs-dev # buildkit
272.21MB 2024-07-25 01:48:59 RUN |2 CUDA_VERSION=12.1.0 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 && add-apt-repository ppa:deadsnakes/ppa && apt-get update -y && apt-get install -y python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv && if [ "${PYTHON_VERSION}" != "3" ]; then update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1; fi && python3 --version # buildkit
0.00B 2024-07-25 01:47:22 WORKDIR /vllm-workspace
0.00B 2024-07-25 01:47:22 ARG PYTHON_VERSION=3.10
0.00B 2024-07-25 01:47:22 ARG CUDA_VERSION=12.1.0
0.00B 2023-11-10 13:42:53 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-11-10 13:42:53 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2023-11-10 13:42:53 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2023-11-10 13:42:52 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-11-10 13:42:52 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2023-11-10 13:42:52 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
149.60MB 2023-11-10 13:42:52 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-1=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 13:42:36 ENV CUDA_VERSION=12.1.0
18.32MB 2023-11-10 13:42:36 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${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 2023-11-10 13:42:36 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 13:42:36 ARG TARGETARCH
0.00B 2023-11-10 13:42:36 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
0.00B 2023-11-10 13:42:36 ENV NV_CUDA_CUDART_VERSION=12.1.55-1
0.00B 2023-11-10 13:42:36 ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1 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
0.00B 2023-11-10 13:42:36 ENV NVARCH=x86_64
0.00B 2023-10-03 18:45:52 /bin/sh -c #(nop) CMD ["/bin/bash"]
72.79MB 2023-10-03 18:45:51 /bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in /
0.00B 2023-10-03 18:45:50 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=20.04
0.00B 2023-10-03 18:45:50 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2023-10-03 18:45:50 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2023-10-03 18:45:50 /bin/sh -c #(nop) ARG RELEASE

镜像信息 

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