docker.io/pytorch/torchserve:0.11.0-gpu linux/amd64

docker.io/pytorch/torchserve:0.11.0-gpu - 国内下载镜像源 浏览次数:49 安全受验证的发布者-Pytorch
Torcheserve是PyTorch推出的一个用于模型部署和服务的框架。它提供了一个易于使用的API,使得开发者能够轻松地将模型部署到各种环境中。
  1. 快速部署:Torcheserve使得开发者能够快速部署模型,并且可以在短时间内进行迭代和更新。
  2. 易于使用:Torcheserve提供了一个简单易用的API,使得开发者能够轻松地将模型部署到各种环境中。
  3. 支持多种模型:Torcheserve支持多种类型的模型,包括PyTorch、TensorFlow和Keras等。

Torcheserve是一个强大且易于使用的框架,使得开发者能够快速部署模型并将其推广到各种环境中。它是 PyTorch 生态系统中的一个重要组成部分,旨在使模型部署和服务更加高效和容易。

源镜像 docker.io/pytorch/torchserve:0.11.0-gpu
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/torchserve:0.11.0-gpu
镜像ID sha256:cf10b02cadcf31745f7ee16f8ff553308034ab6433ea67403e222e6282490b00
镜像TAG 0.11.0-gpu
大小 6.59GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD serve
启动入口 /usr/local/bin/dockerd-entrypoint.sh
工作目录 /home/model-server
OS/平台 linux/amd64
浏览量 49 次
贡献者
镜像创建 2024-05-16T18:35:51.608860345Z
同步时间 2024-08-30 15:55
更新时间 2024-09-20 11:13
开放端口
7070/tcp 7071/tcp 8080/tcp 8081/tcp 8082/tcp
环境变量
PATH=/home/venv/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 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility PYTHONUNBUFFERED=TRUE TEMP=/home/model-server/tmp
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/pytorch/torchserve:0.11.0-gpu
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/torchserve:0.11.0-gpu  docker.io/pytorch/torchserve:0.11.0-gpu

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/torchserve:0.11.0-gpu
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/torchserve:0.11.0-gpu  docker.io/pytorch/torchserve:0.11.0-gpu

Shell快速替换命令

sed -i 's#pytorch/torchserve:0.11.0-gpu#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/torchserve:0.11.0-gpu#' deployment.yaml

镜像历史

大小 创建时间 层信息
0.00B 2024-05-17 02:35:51 CMD ["serve"]
0.00B 2024-05-17 02:35:51 ENTRYPOINT ["/usr/local/bin/dockerd-entrypoint.sh"]
0.00B 2024-05-17 02:35:51 ENV TEMP=/home/model-server/tmp
0.00B 2024-05-17 02:35:51 WORKDIR /home/model-server
0.00B 2024-05-17 02:35:51 USER model-server
0.00B 2024-05-17 02:35:51 EXPOSE map[7070/tcp:{} 7071/tcp:{} 8080/tcp:{} 8081/tcp:{} 8082/tcp:{}]
0.00B 2024-05-17 02:35:51 RUN |1 PYTHON_VERSION=3.9 /bin/sh -c mkdir /home/model-server/model-store && chown -R model-server /home/model-server/model-store # buildkit
309.00B 2024-05-17 02:35:51 COPY docker/config.properties /home/model-server/config.properties # buildkit
5.00KB 2024-05-17 02:35:51 RUN |1 PYTHON_VERSION=3.9 /bin/sh -c chmod +x /usr/local/bin/dockerd-entrypoint.sh && chown -R model-server /home/model-server # buildkit
197.00B 2024-05-17 02:35:50 COPY docker/dockerd-entrypoint.sh /usr/local/bin/dockerd-entrypoint.sh # buildkit
0.00B 2024-05-17 02:35:50 ENV PATH=/home/venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
5.41GB 2024-05-17 02:35:50 COPY /home/venv /home/venv # buildkit
335.11KB 2024-05-17 02:32:21 RUN |1 PYTHON_VERSION=3.9 /bin/sh -c useradd -m model-server && mkdir -p /home/model-server/tmp # buildkit
935.95MB 2024-05-17 02:32:21 RUN |1 PYTHON_VERSION=3.9 /bin/sh -c apt-get update && apt-get upgrade -y && apt-get install software-properties-common -y && add-apt-repository -y ppa:deadsnakes/ppa && apt remove python-pip python3-pip && DEBIAN_FRONTEND=noninteractive apt-get install --no-install-recommends -y python$PYTHON_VERSION python3-distutils python$PYTHON_VERSION-dev python$PYTHON_VERSION-venv openjdk-17-jdk build-essential && rm -rf /var/lib/apt/lists/* && cd /tmp # buildkit
0.00B 2024-05-17 02:32:21 ENV PYTHONUNBUFFERED=TRUE
0.00B 2024-05-17 02:32:21 ARG PYTHON_VERSION
0.00B 2023-11-10 13:42:53 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-11-10 13:42:53 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2023-11-10 13:42:53 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2023-11-10 13:42:52 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-11-10 13:42:52 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2023-11-10 13:42:52 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
149.60MB 2023-11-10 13:42:52 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-1=${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

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